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Published 20 hours ago • verified publisher icon apache

Failed to execute an insert statement across the database

Open weijunlu opened this issue 2 years ago • 8 comments

Failed to execute an insert statement across the database.

Steps to reproduce the behavior:

  1. Prepare the mysql and postgresql table structures and data. mysql： create table t1(c1 int, c2 int); insert into t1 values (1,1), (2,2); postgres: create table t1(c1 int, c2 int);

  2. Create mysql and postgresql Plugins in Storage label via http://localhost:8047/storage pages.

  3. Execute the following sql statement using sqlline. Jupiter> insert into pg.public.t1 select c1, c2 from mysql.test.t1; Error: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query. Sql: INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) Fragment: 0:0 [Error Id: a5b3ee38-38f5-4945-afda-8a7d4746df4c on DESKTOP-PHHB7LC:31010] (state=,code=0)

  4. The execution plan in the log is as follows： 2022-12-19 14:36:32,447 [1c5ffc63-764a-c5ab-4d06-90e658b8e132:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - Drill Physical: 00-00    Screen : rowType = RecordType(BIGINT ROWCOUNT): rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 614 00-01      Jdbc(sql=[INSERT INTO public.t1 (c1, c2)  (SELECT *  FROM test.t1) ]) : rowType = RecordType(BIGINT ROWCOUNT): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 604

weijunlu avatar Dec 19 '22 07:12 weijunlu

What version of Drill are you using? INSERT was only recently merged and is not part of any official release yet. So unless you are using the latest master, this won't work.

cgivre avatar Dec 22 '22 14:12 cgivre

@cgivre yes, I used the master version. apache drill> select version, commit_message, commit_time from sys.version; +----------------+----------------------------------------------------------------------------------+---------------------------+ | version | commit_message | commit_time | +----------------+----------------------------------------------------------------------------------+---------------------------+ | 2.0.0-SNAPSHOT | DRILL-8314: Add support for automatically retrying and disabling broken storage plugins (#2655) | 18.10.2022 @ 18:15:31 CST |

weijunlu avatar Dec 23 '22 03:12 weijunlu

Can you please enable verbose logging and post the stack trace? Without that, we really can't debug this.

cgivre avatar Dec 27 '22 02:12 cgivre

I opened the trace log, included the calcite log. Log configurations are as follows:

weijunlu avatar Dec 28 '22 11:12 weijunlu

2022-12-28 19:03:07,204 [main] DEBUG o.a.d.j.impl.DrillStatementRegistry - Adding to open-statements registry: org.apache.drill.jdbc.impl.DrillStatementImpl@71df3d2b 2022-12-28 19:03:07,204 [main] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Query listener created. 2022-12-28 19:03:07,204 [main] DEBUG o.apache.drill.jdbc.impl.DrillCursor - Setting timeout as 0 2022-12-28 19:03:07,206 [UserServer-1] DEBUG o.a.d.e.r.u.UserServerRequestHandler - Received query to run. Returning query handle. 2022-12-28 19:03:07,215 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested PREPARING --> PLANNING 2022-12-28 19:03:07,215 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] INFO o.a.drill.exec.work.foreman.Foreman - Query text for query with id 1c53dd94-4277-9ab0-effe-18b1ab8989ac issued by anonymous: insert into pg.public.t1 select c1, c2 from mysql.test.t1 2022-12-28 19:03:07,215 [Client-1] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Received query ID: 1c53dd94-4277-9ab0-effe-18b1ab8989ac. 2022-12-28 19:03:07,215 [Client-1] DEBUG o.a.d.e.rpc.user.QueryResultHandler - Received QueryId 1c53dd94-4277-9ab0-effe-18b1ab8989ac successfully. Adding results listener org.apache.drill.jdbc.impl.DrillCursor$ResultsListener@29741514. 2022-12-28 19:03:07,222 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE org.apache.calcite.sql.parser - After unconditional rewrite: INSERT INTO pg.public.t1 (SELECT c1, c2 FROM mysql.test.t1) 2022-12-28 19:03:07,308 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE org.apache.calcite.sql.parser - After validation: INSERT INTO pg.public.t1 (SELECT t1.c1, t1.c2 FROM mysql.test.t1 AS t1) 2022-12-28 19:03:07,308 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'INSERT INTO'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'pg'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'public'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'SELECT'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c1'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ','; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c2'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'FROM'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'mysql'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'test'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'AS'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false 2022-12-28 19:03:07,312 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'INSERT INTO'; result is false 2022-12-28 19:03:07,312 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'pg'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'public'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'SELECT'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ','; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c2'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'FROM'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'mysql'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'test'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'AS'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'INSERT INTO'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'pg'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'public'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'SELECT'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ','; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c2'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'FROM'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'mysql'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'test'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'AS'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false 2022-12-28 19:03:07,315 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG org.apache.calcite.sql2rel - Plan after converting SqlNode to RelNode LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[false]) LogicalProject(c1=[$0], c2=[$1]) JdbcTableScan(table=[[mysql, test, t1]])

2022-12-28 19:03:07,316 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - INITIAL: LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 91 LogicalProject(c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 90 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,317 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Breadth-first from root: { rel#96:HepRelVertex(rel#95:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#94,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#95:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#94,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#94:HepRelVertex(rel#93:LogicalProject.NONE.ANY([]).) = rel#93:LogicalProject.NONE.ANY([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#92:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} } 2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [SubQueryRemoveRule:Filter] 2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage 2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [SubQueryRemoveRule:Project] 2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [SubQueryRemoveRule:Join] 2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner 2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us)

  • Total 0 0

2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#95:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#94,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#93:LogicalProject.NONE.ANY([]). 2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) 2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP:Sub-queries rewrites (1ms): LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 95 LogicalProject(c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 93 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Breadth-first from root: { rel#101:HepRelVertex(rel#100:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#99,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#100:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#99,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#99:HepRelVertex(rel#98:LogicalProject.NONE.ANY([]).) = rel#98:LogicalProject.NONE.ANY([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#97:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} } 2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ReduceExpressionsRule(Calc)] 2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage 2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ProjectToWindowRule:project] 2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner 2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us)

  • Total 0 0

2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#100:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#99,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#98:LogicalProject.NONE.ANY([]). 2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) 2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP:Window Function rewrites (1ms): LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 100 LogicalProject(c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 98 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Breadth-first from root: { rel#108:HepRelVertex(rel#107:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#106,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#107:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#106,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#106:HepRelVertex(rel#105:LogicalProject.NONE.ANY([]).) = rel#105:LogicalProject.NONE.ANY([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#104:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} } 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.ProjectOnScan] 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.FilterOnScan] 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.FilterProjectScan] 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DirPruneScanRule:Filter_On_Project] 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DirPruneScanRule:Filter_On_Scan] 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [PartitionColumnScanPruningRule:Prune_On_Scan] 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ConvertCountToDirectScanRule:Agg_on_proj_on_scan] 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ConvertCountToDirectScanRule:Agg_on_scan] 2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner 2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us)

  • Total 0 0

2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#107:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#106,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#105:LogicalProject.NONE.ANY([]). 2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) 2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Directory Prune Planning (1ms): LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 107 LogicalProject(c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,323 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]] cost was {inf} now {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) in rel#109:RelSubset#0.JDBC.mysql.ANY([]).[] 2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89] 2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#110:LogicalProject.NONE.ANY([]). in rel#111:RelSubset#1.NONE.ANY([]).[] 2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ProjectRemoveRule] rels [#110] 2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [DrillProjectRule] rels [#110] 2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ReduceAndSimplifyProjectRule] rels [#110] 2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ReduceExpressionsRule(Project)] rels [#110] 2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110] 2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110] 2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#111,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#113:RelSubset#2.NONE.ANY([]).[] 2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [DrillTableModifyRule] rels [#112] 2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] 2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] 2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#115:AbstractConverter.LOGICAL.ANY([]). in rel#114:RelSubset#2.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#115] 2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf} 2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: LogicalTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 112 LogicalProject(subset=[rel#111:RelSubset#1.NONE.ANY([]).[]], c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 2.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 110 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#1, type: RecordType(INTEGER c1, INTEGER c2) rel#111:RelSubset#1.NONE.ANY([]).[], best=null rel#110:LogicalProject.NONE.ANY([])., rowcount=1.0E9, cumulative cost={inf} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#111,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=null rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] } subgraph cluster1{ label="Set 1 RecordType(INTEGER c1, INTEGER c2)"; rel110 [label="rel#110:LogicalProject\ninput=RelSubset#109,inputs=0..1\nrows=1.0E9, cost={inf}",shape=box] subset111 [label="rel#111:RelSubset#1.NONE.ANY([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#111,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]",color=red] } root -> subset114; subset109 -> rel89[color=blue]; subset111 -> rel110; rel110 -> subset109; subset113 -> rel112; rel112 -> subset111; subset114 -> rel115; rel115 -> subset113; } 2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [ProjectRemoveRule] rels [#110] rule [ReduceAndSimplifyProjectRule] rels [#110] rule [ReduceExpressionsRule(Project)] rels [#110] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89] rule [DrillProjectRule] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110] rule [DrillTableModifyRule] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] 2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ProjectRemoveRule] rels [#110] 2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169: Apply rule [ProjectRemoveRule] to [rel#110:LogicalProject] 2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#116 via ProjectRemoveRule 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169: Full plan for rule input [rel#110:LogicalProject]: LogicalProject(c1=[$0], c2=[$1]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169: Rule [ProjectRemoveRule] produced [rel#116:RelSubset] 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169: Full plan for [rel#116:RelSubset]: JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Merge set#1 into set#0 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rename #112 from 'LogicalTableModify.NONE.ANY([]).[](input=RelSubset#111,table=[pg, public, t1],operation=INSERT,flattened=true)' to 'LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true)' 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169 generated 1 successors: [rel#116:RelSubset#0.NONE.ANY([]).[]] 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf} 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: LogicalTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 112 JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#116:RelSubset#0.NONE.ANY([]).[], best=null Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=null rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]",color=red] } root -> subset114; subset109 -> rel89[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; } 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [ReduceAndSimplifyProjectRule] rels [#110] rule [ReduceExpressionsRule(Project)] rels [#110] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89] rule [DrillProjectRule] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110] rule [DrillTableModifyRule] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [ReduceAndSimplifyProjectRule] rels [#110] 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [ReduceExpressionsRule(Project)] rels [#110] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89] rule [DrillProjectRule] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110] rule [DrillTableModifyRule] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [ReduceExpressionsRule(Project)] rels [#110] 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89] rule [DrillProjectRule] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110] rule [DrillTableModifyRule] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89] 2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#89:JdbcTableScan] 2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#117 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL) 2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165: Full plan for rule input [rel#89:JdbcTableScan]: JdbcTableScan(table=[[mysql, test, t1]])

2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#117:VertexDrel] 2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165: Full plan for [rel#117:VertexDrel]: VertexDrel JdbcTableScan(table=[[mysql, test, t1]])

2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#119:RelSubset#0.LOGICAL.ANY([]).[]] cost was {inf} now {1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#118:VertexDrel.LOGICAL.ANY([]). in rel#119:RelSubset#0.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] 2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165 generated 1 successors: [rel#117:VertexDrel.LOGICAL.ANY([]).] 2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf} 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: LogicalTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 112 JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=null rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]",color=red] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; } 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [DrillProjectRule] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110] rule [DrillTableModifyRule] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [DrillProjectRule] rels [#110] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110] rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110] rule [DrillTableModifyRule] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110] rule [DrillTableModifyRule] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [DrillTableModifyRule] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [DrillTableModifyRule] rels [#112] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198: Apply rule [DrillTableModifyRule] to [rel#112:LogicalTableModify] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#120 via DrillTableModifyRule 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198: Full plan for rule input [rel#112:LogicalTableModify]: LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198: Rule [DrillTableModifyRule] produced [rel#120:DrillTableModify] 2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198: Full plan for [rel#120:DrillTableModify]: DrillTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#114:RelSubset#2.LOGICAL.ANY([]).[]] cost was {inf} now {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#114:RelSubset#2.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120] 2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120] 2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198 generated 1 successors: [rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true)] 2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120 VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue]; }

weijunlu avatar Dec 28 '22 11:12 weijunlu

2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120] 2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112] 2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202: Apply rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] to [rel#112:LogicalTableModify] 2022-12-28 19:03:07,337 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#121 via JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql) 2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202: Full plan for rule input [rel#112:LogicalTableModify]: LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202: Rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] produced [rel#121:JdbcTableModify] 2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202: Full plan for [rel#121:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]] cost was {inf} now {101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#122:RelSubset#2.JDBC.mysql.ANY([]).[] 2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121] 2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202 generated 1 successors: [rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true)] 2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120 VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue]; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; } 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] rule [ExpandConversionRule] rels [#115] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121] 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112] 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204: Apply rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] to [rel#112:LogicalTableModify] 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#124 via JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg) 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204: Full plan for rule input [rel#112:LogicalTableModify]: LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204: Rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] produced [rel#124:JdbcTableModify] 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204: Full plan for [rel#124:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#125:RelSubset#2.JDBC.pg.ANY([]).[] 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124] 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204 generated 1 successors: [rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true)] 2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120 VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue]; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; } 2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [ExpandConversionRule] rels [#115] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124] 2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#115] 2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#206: Apply rule [ExpandConversionRule] to [rel#115:AbstractConverter] 2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#206 generated 0 successors. 2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120 VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue]; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; } 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#118:VertexDrel,rel#89:JdbcTableScan] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#126 via JDBC_PREL_ConverterJDBC.mysql 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Full plan for rule input [rel#118:VertexDrel]: VertexDrel JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Full plan for rule input [rel#89:JdbcTableScan]: JdbcTableScan(table=[[mysql, test, t1]])

2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#126:JdbcIntermediatePrel] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Full plan for [rel#126:JdbcIntermediatePrel]: JdbcIntermediatePrel JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#128:AbstractConverter.JDBC.mysql.ANY([]). in rel#109:RelSubset#0.JDBC.mysql.ANY([]).[] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#128] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#129:AbstractConverter.LOGICAL.ANY([]). in rel#119:RelSubset#0.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#129] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#130:AbstractConverter.JDBC.pg.ANY([]). in rel#123:RelSubset#0.JDBC.pg.ANY([]).[] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#130] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]). in rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223 generated 1 successors: [rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).] 2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120 VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue]; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; } 2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120] rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124] rule [ExpandConversionRule] rels [#128] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128] rule [ExpandConversionRule] rels [#129] rule [ExpandConversionRule] rels [#130] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] 2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120] 2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230: Apply rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] to [rel#120:DrillTableModify] 2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#131 via JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql) 2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230: Full plan for rule input [rel#120:DrillTableModify]: DrillTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230: Rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] produced [rel#131:JdbcTableModify] 2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230: Full plan for [rel#131:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#131 is equivalent to rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230 generated 1 successors: [rel#131:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true)] 2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120 VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue]; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; } 2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124] rule [ExpandConversionRule] rels [#128] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128] rule [ExpandConversionRule] rels [#129] rule [ExpandConversionRule] rels [#130] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] 2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120] 2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232: Apply rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] to [rel#120:DrillTableModify] 2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#132 via JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg) 2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232: Full plan for rule input [rel#120:DrillTableModify]: DrillTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232: Rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] produced [rel#132:JdbcTableModify] 2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232: Full plan for [rel#132:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#132 is equivalent to rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232 generated 1 successors: [rel#132:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true)] 2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120 VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue]; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; } 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124] rule [ExpandConversionRule] rels [#128] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128] rule [ExpandConversionRule] rels [#129] rule [ExpandConversionRule] rels [#130] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121] 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#121:JdbcTableModify] 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#133 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL) 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239: Full plan for rule input [rel#121:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#133:VertexDrel] 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239: Full plan for [rel#133:VertexDrel]: VertexDrel JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#114:RelSubset#2.LOGICAL.ANY([]).[]] cost was {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} now {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#134:VertexDrel.LOGICAL.ANY([]). in rel#114:RelSubset#2.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239 generated 1 successors: [rel#133:VertexDrel.LOGICAL.ANY([]).] 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; } 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124] rule [ExpandConversionRule] rels [#128] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128] rule [ExpandConversionRule] rels [#129] rule [ExpandConversionRule] rels [#130] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124] 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246: Apply rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] to [rel#124:JdbcTableModify] 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#135 via VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL) 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246: Full plan for rule input [rel#124:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246: Rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] produced [rel#135:VertexDrel] 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246: Full plan for [rel#135:VertexDrel]: VertexDrel JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#136:VertexDrel.LOGICAL.ANY([]). in rel#114:RelSubset#2.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246 generated 1 successors: [rel#135:VertexDrel.LOGICAL.ANY([]).] 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; } 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [ExpandConversionRule] rels [#128] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128] rule [ExpandConversionRule] rels [#129] rule [ExpandConversionRule] rels [#130] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#128] 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#248: Apply rule [ExpandConversionRule] to [rel#128:AbstractConverter] 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#248 generated 0 successors. 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; } 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128] rule [ExpandConversionRule] rels [#129] rule [ExpandConversionRule] rels [#130] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128] 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#118:VertexDrel,rel#128:AbstractConverter] 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#137 via JDBC_PREL_ConverterJDBC.mysql 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Full plan for rule input [rel#118:VertexDrel]: VertexDrel JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Full plan for rule input [rel#128:AbstractConverter]: AbstractConverter(convention=[JDBC.mysql], DrillDistributionTraitDef=[ANY([])], sort=[[]]) JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#137:JdbcIntermediatePrel] 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Full plan for [rel#137:JdbcIntermediatePrel]: JdbcIntermediatePrel JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#137 is equivalent to rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]). 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254 generated 1 successors: [rel#137:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).] 2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; } 2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128] rule [ExpandConversionRule] rels [#129] rule [ExpandConversionRule] rels [#130] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] 2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128] 2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#128:AbstractConverter] 2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#138 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL) 2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256: Full plan for rule input [rel#128:AbstractConverter]: AbstractConverter(convention=[JDBC.mysql], DrillDistributionTraitDef=[ANY([])], sort=[[]]) JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#138:VertexDrel] 2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256: Full plan for [rel#138:VertexDrel]: VertexDrel AbstractConverter(convention=[JDBC.mysql], DrillDistributionTraitDef=[ANY([])], sort=[[]]) JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#139 is equivalent to rel#118:VertexDrel.LOGICAL.ANY([]). 2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256 generated 1 successors: [rel#138:VertexDrel.LOGICAL.ANY([]).] 2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; } 2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [ExpandConversionRule] rels [#129] rule [ExpandConversionRule] rels [#130] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] 2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#129] 2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#258: Apply rule [ExpandConversionRule] to [rel#129:AbstractConverter] 2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#258 generated 0 successors. 2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; }

weijunlu avatar Dec 28 '22 11:12 weijunlu

2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [ExpandConversionRule] rels [#130] rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] 2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#130] 2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#264: Apply rule [ExpandConversionRule] to [rel#130:AbstractConverter] 2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#264 generated 0 successors. 2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; } 2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] 2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130] 2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271: Apply rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] to [rel#130:AbstractConverter] 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#140 via VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL) 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271: Full plan for rule input [rel#130:AbstractConverter]: AbstractConverter(convention=[JDBC.pg], DrillDistributionTraitDef=[ANY([])], sort=[[]]) JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271: Rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] produced [rel#140:VertexDrel] 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271: Full plan for [rel#140:VertexDrel]: VertexDrel AbstractConverter(convention=[JDBC.pg], DrillDistributionTraitDef=[ANY([])], sort=[[]]) JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#141:VertexDrel.LOGICAL.ANY([]). in rel#119:RelSubset#0.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130] 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271 generated 1 successors: [rel#140:VertexDrel.LOGICAL.ANY([]).] 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#141:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset119 -> rel141; rel141 -> subset123; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; } 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130] 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121] 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#134:VertexDrel,rel#121:JdbcTableModify] 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#142 via JDBC_PREL_ConverterJDBC.mysql 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Full plan for rule input [rel#134:VertexDrel]: VertexDrel JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Full plan for rule input [rel#121:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#142:JdbcIntermediatePrel] 2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Full plan for [rel#142:JdbcIntermediatePrel]: JdbcIntermediatePrel JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#144:AbstractConverter.LOGICAL.ANY([]). in rel#114:RelSubset#2.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#144] 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]). in rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[] 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281 generated 1 successors: [rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).] 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#141:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#144:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142 rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset119 -> rel141; rel141 -> subset123; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; subset114 -> rel144; rel144 -> subset143; subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue]; } 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130] rule [ExpandConversionRule] rels [#144] 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124] 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Apply rule [JDBC_PREL_ConverterJDBC.pg] to [rel#136:VertexDrel,rel#124:JdbcTableModify] 2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#145 via JDBC_PREL_ConverterJDBC.pg 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Full plan for rule input [rel#136:VertexDrel]: VertexDrel LogicalTableModify(subset=[rel#125:RelSubset#2.JDBC.pg.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Full plan for rule input [rel#124:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Rule [JDBC_PREL_ConverterJDBC.pg] produced [rel#145:JdbcIntermediatePrel] 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Full plan for [rel#145:JdbcIntermediatePrel]: JdbcIntermediatePrel LogicalTableModify(subset=[rel#125:RelSubset#2.JDBC.pg.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]). in rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[] 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289 generated 1 successors: [rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).] 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#141:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#144:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142 rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel145 [label="rel#145:JdbcIntermediatePrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset119 -> rel141; rel141 -> subset123; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; subset114 -> rel144; rel144 -> subset143; subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue]; subset143 -> rel145; rel145 -> subset125; } 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130] rule [ExpandConversionRule] rels [#144] 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130] 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Apply rule [JDBC_PREL_ConverterJDBC.pg] to [rel#141:VertexDrel,rel#130:AbstractConverter] 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#146 via JDBC_PREL_ConverterJDBC.pg 2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Full plan for rule input [rel#141:VertexDrel]: VertexDrel JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Full plan for rule input [rel#130:AbstractConverter]: AbstractConverter(convention=[JDBC.pg], DrillDistributionTraitDef=[ANY([])], sort=[[]]) JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]]) JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Rule [JDBC_PREL_ConverterJDBC.pg] produced [rel#146:JdbcIntermediatePrel] 2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Full plan for [rel#146:JdbcIntermediatePrel]: JdbcIntermediatePrel JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]). in rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[] 2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296 generated 1 successors: [rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).] 2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#141:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={inf} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#144:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142 rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box] rel146 [label="rel#146:JdbcIntermediatePrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel145 [label="rel#145:JdbcIntermediatePrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset119 -> rel141; rel141 -> subset123; subset127 -> rel146; rel146 -> subset123; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; subset114 -> rel144; rel144 -> subset143; subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue]; subset143 -> rel145; rel145 -> subset125; } 2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [ExpandConversionRule] rels [#144] 2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#144] 2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#298: Apply rule [ExpandConversionRule] to [rel#144:AbstractConverter] 2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#298 generated 0 successors. 2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,355 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#141:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={inf} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#144:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142 rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box] rel146 [label="rel#146:JdbcIntermediatePrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel145 [label="rel#145:JdbcIntermediatePrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset119 -> rel141; rel141 -> subset123; subset127 -> rel146; rel146 -> subset123; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; subset114 -> rel144; rel144 -> subset143; subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue]; subset143 -> rel145; rel145 -> subset125; } 2022-12-28 19:03:07,355 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] INFO o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#0, type: RecordType(INTEGER c1, INTEGER c2) rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#128:AbstractConverter.JDBC.mysql.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#116:RelSubset#0.NONE.ANY([]).[], best=null rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118 rel#118:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#129:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#141:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null rel#130:AbstractConverter.JDBC.pg.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126 rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={inf} Set#2, type: RecordType(BIGINT ROWCOUNT) rel#113:RelSubset#2.NONE.ANY([]).[], best=null rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134 rel#115:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} rel#134:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#136:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#144:AbstractConverter.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={inf} rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121 rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf} rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142 rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={inf}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster0{ label="Set 0 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box] rel146 [label="rel#146:JdbcIntermediatePrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box] subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"] subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red] subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"] subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red] subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster2{ label="Set 2 RecordType(BIGINT ROWCOUNT)"; rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box] rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box] rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box] rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel145 [label="rel#145:JdbcIntermediatePrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box] subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"] subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"] subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"] subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"] subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"] } root -> subset114; subset109 -> rel89[color=blue]; subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue]; subset109 -> rel128; rel128 -> subset127; subset119 -> rel129; rel129 -> subset127; subset123 -> rel130; rel130 -> subset127; subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue]; subset119 -> rel141; rel141 -> subset123; subset127 -> rel146; rel146 -> subset123; subset113 -> rel112; rel112 -> subset116; subset114 -> rel115; rel115 -> subset113; subset114 -> rel120; rel120 -> subset119; subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue]; subset125 -> rel124; rel124 -> subset123; subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue]; subset114 -> rel136; rel136 -> subset125; subset114 -> rel144; rel144 -> subset143; subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue]; subset143 -> rel145; rel145 -> subset125; } 2022-12-28 19:03:07,355 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for VolcanoPlanner 2022-12-28 19:03:07,356 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us) ExpandConversionRule 5 256 JDBC_PREL_ConverterJDBC.mysql 3 1,987 VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL) 3 1,496 VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL) 2 722 JDBC_PREL_ConverterJDBC.pg 2 658 JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql) 1 7,641 DrillTableModifyRule 1 643 JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg) 1 566 ProjectRemoveRule 1 493 JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql) 1 257 JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg) 1 228

  • Total 21 14,947

2022-12-28 19:03:07,356 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Cheapest plan: VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 148 JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 147 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,356 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Provenance: rel#148:VertexDrel.LOGICAL.ANY([]). direct rel#134:VertexDrel.LOGICAL.ANY([]). call#239 rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true) call#202 rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true) no parent rel#147:JdbcTableModify.JDBC.mysql.ANY([]).[](input=JdbcTableScan#89,table=[pg, public, t1],operation=INSERT,flattened=true) direct rel#121 (see above) rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) no parent

2022-12-28 19:03:07,356 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - VOLCANO:Logical Planning (no pruning or join). (34ms): VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 148 JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 147 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Breadth-first from root: { rel#153:HepRelVertex(rel#152:VertexDrel.LOGICAL.ANY([]).) = rel#152:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#151:HepRelVertex(rel#150:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#149,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#150:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#149,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#149:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} } 2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [JoinPushTransitivePredicatesRule] 2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage 2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilterIntoJoinRule] 2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilterRemoveIsNotDistinctFromRule] 2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterAggregateTransposeRule] 2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilterMergeRule] 2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner 2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us)

  • Total 0 0

2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#152:VertexDrel.LOGICAL.ANY([]). 2022-12-28 19:03:07,358 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#150:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#149,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,358 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) 2022-12-28 19:03:07,358 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP:Transitive closure (1ms): VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 152 JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 150 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Breadth-first from root: { rel#158:HepRelVertex(rel#157:VertexDrel.LOGICAL.ANY([]).) = rel#157:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#156:HepRelVertex(rel#155:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#154,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#155:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#154,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#154:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} } 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.ProjectOnScan] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.FilterOnScan] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.FilterProjectScan] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DirPruneScanRule:Filter_On_Project] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DirPruneScanRule:Filter_On_Scan] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [PruneScanRule:Filter_On_Project_Parquet] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [PruneScanRule:Filter_On_Scan_Parquet] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillPushLimitToScanRule_LimitOnProject] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillPushLimitToScanRule_LimitOnScan] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [PartitionColumnScanPruningRule:Prune_On_Scan] 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us)

  • Total 0 0

2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#157:VertexDrel.LOGICAL.ANY([]). 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#155:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#154,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) 2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Partition Prune Planning (1ms): VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 157 JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 155 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Breadth-first from root: { rel#163:HepRelVertex(rel#162:VertexDrel.LOGICAL.ANY([]).) = rel#162:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#161:HepRelVertex(rel#160:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#159,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#160:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#159,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#159:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} } 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [JoinToMultiJoinRule] 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [LoptOptimizeJoinRule] 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ProjectRemoveRule] 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us)

  • Total 0 0

2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#162:VertexDrel.LOGICAL.ANY([]). 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#160:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#159,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) 2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:LOPT Join Planning (1ms): VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 162 JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 160 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Breadth-first from root: { rel#168:HepRelVertex(rel#167:VertexDrel.LOGICAL.ANY([]).) = rel#167:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#166:HepRelVertex(rel#165:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#164,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#165:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#164,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#164:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} } 2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP 2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage 2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillPushRowKeyJoinToScanRule_Join] 2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner 2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us)

  • Total 0 0

2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#167:VertexDrel.LOGICAL.ANY([]). 2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#165:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#164,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) 2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Convert Join to RowKeyJoin (1ms): VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 167 JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 165 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Breadth-first from root: { rel#173:HepRelVertex(rel#172:VertexDrel.LOGICAL.ANY([]).) = rel#172:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#171:HepRelVertex(rel#170:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#169,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#170:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#169,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#169:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} } 2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP 2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage 2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillConvertSumToSumZero] 2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillConvertWindowSumToSumZero] 2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner 2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us)

  • Total 0 0

2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#172:VertexDrel.LOGICAL.ANY([]). 2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#170:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#169,table=[pg, public, t1],operation=INSERT,flattened=true) 2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) 2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Convert SUM to $SUM0 (2ms): VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 172 JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 170 JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]] cost was {inf} now {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) in rel#175:RelSubset#3.JDBC.mysql.ANY([]).[] 2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89] 2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]] cost was {inf} now {101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#177:RelSubset#4.JDBC.mysql.ANY([]).[] 2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#176] 2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#179:RelSubset#5.LOGICAL.ANY([]).[]] cost was {inf} now {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#178:VertexDrel.LOGICAL.ANY([]). in rel#179:RelSubset#5.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176] 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#181:RelSubset#6.LOGICAL.ANY([]).[]] cost was {inf} now {2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#180:DrillScreenRel.LOGICAL.ANY([]). in rel#181:RelSubset#6.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [Prel.ScreenPrule] rels [#180,#178] 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf} 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#3, type: RecordType(INTEGER c1, INTEGER c2) rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#4, type: RecordType(BIGINT ROWCOUNT) rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176 rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#5, type: RecordType(BIGINT ROWCOUNT) rel#179:RelSubset#5.LOGICAL.ANY([]).[], best=rel#178 rel#178:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#6, type: RecordType(BIGINT ROWCOUNT) rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180 rel#180:DrillScreenRel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=null

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster3{ label="Set 3 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"] } subgraph cluster4{ label="Set 4 RecordType(BIGINT ROWCOUNT)"; rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"] } subgraph cluster5{ label="Set 5 RecordType(BIGINT ROWCOUNT)"; rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset179 [label="rel#179:RelSubset#5.LOGICAL.ANY([]).[]"] } subgraph cluster6{ label="Set 6 RecordType(BIGINT ROWCOUNT)"; rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#179\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"] subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]",color=red] } root -> subset182; subset175 -> rel89[color=blue]; subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue]; subset179 -> rel178[color=blue]; rel178 -> subset177[color=blue]; subset181 -> rel180[color=blue]; rel180 -> subset179[color=blue]; } 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89] rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#176] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176] rule [Prel.ScreenPrule] rels [#180,#178] 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89] 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#89:JdbcTableScan] 2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#183 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL) 2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327: Full plan for rule input [rel#89:JdbcTableScan]: JdbcTableScan(table=[[mysql, test, t1]])

2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#183:VertexDrel] 2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327: Full plan for [rel#183:VertexDrel]: VertexDrel JdbcTableScan(table=[[mysql, test, t1]])

2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#185:RelSubset#3.LOGICAL.ANY([]).[]] cost was {inf} now {1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#184:VertexDrel.LOGICAL.ANY([]). in rel#185:RelSubset#3.LOGICAL.ANY([]).[] 2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89] 2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327 generated 1 successors: [rel#183:VertexDrel.LOGICAL.ANY([]).] 2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf} 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#3, type: RecordType(INTEGER c1, INTEGER c2) rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184 rel#184:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#4, type: RecordType(BIGINT ROWCOUNT) rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176 rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#5, type: RecordType(BIGINT ROWCOUNT) rel#179:RelSubset#5.LOGICAL.ANY([]).[], best=rel#178 rel#178:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#6, type: RecordType(BIGINT ROWCOUNT) rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180 rel#180:DrillScreenRel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=null

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster3{ label="Set 3 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"] subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"] } subgraph cluster4{ label="Set 4 RecordType(BIGINT ROWCOUNT)"; rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"] } subgraph cluster5{ label="Set 5 RecordType(BIGINT ROWCOUNT)"; rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset179 [label="rel#179:RelSubset#5.LOGICAL.ANY([]).[]"] } subgraph cluster6{ label="Set 6 RecordType(BIGINT ROWCOUNT)"; rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#179\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"] subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]",color=red] } root -> subset182; subset175 -> rel89[color=blue]; subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue]; subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue]; subset179 -> rel178[color=blue]; rel178 -> subset177[color=blue]; subset181 -> rel180[color=blue]; rel180 -> subset179[color=blue]; } 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#176] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176] rule [Prel.ScreenPrule] rels [#180,#178] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89] 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#176] 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#176:JdbcTableModify] 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#186 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL) 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340: Full plan for rule input [rel#176:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#186:VertexDrel] 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340: Full plan for [rel#186:VertexDrel]: VertexDrel JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#187 is equivalent to rel#178:VertexDrel.LOGICAL.ANY([]). 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register #179 rel#179:RelSubset#5.LOGICAL.ANY([]).[], and merge sets 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Merge set#5 into set#4 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#188:RelSubset#4.LOGICAL.ANY([]).[]] cost was {inf} now {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rename #180 from 'DrillScreenRel.LOGICAL.ANY([]).' to 'DrillScreenRel.LOGICAL.ANY([]).' 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340 generated 1 successors: [rel#186:VertexDrel.LOGICAL.ANY([]).] 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf} 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#3, type: RecordType(INTEGER c1, INTEGER c2) rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184 rel#184:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#4, type: RecordType(BIGINT ROWCOUNT) rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176 rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178 rel#178:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#6, type: RecordType(BIGINT ROWCOUNT) rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180 rel#180:DrillScreenRel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=null

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster3{ label="Set 3 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"] subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"] } subgraph cluster4{ label="Set 4 RecordType(BIGINT ROWCOUNT)"; rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"] subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"] } subgraph cluster6{ label="Set 6 RecordType(BIGINT ROWCOUNT)"; rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"] subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]",color=red] } root -> subset182; subset175 -> rel89[color=blue]; subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue]; subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue]; subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue]; subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue]; } 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176] rule [Prel.ScreenPrule] rels [#180,#178] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89] 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176] 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#178:VertexDrel,rel#176:JdbcTableModify] 2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#189 via JDBC_PREL_ConverterJDBC.mysql 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Full plan for rule input [rel#178:VertexDrel]: VertexDrel JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Full plan for rule input [rel#176:JdbcTableModify]: JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#189:JdbcIntermediatePrel] 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Full plan for [rel#189:JdbcIntermediatePrel]: JdbcIntermediatePrel JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]). in rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[] 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353 generated 1 successors: [rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).] 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf} 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#3, type: RecordType(INTEGER c1, INTEGER c2) rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184 rel#184:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#4, type: RecordType(BIGINT ROWCOUNT) rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176 rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178 rel#178:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[], best=rel#189 rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#6, type: RecordType(BIGINT ROWCOUNT) rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180 rel#180:DrillScreenRel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=null

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster3{ label="Set 3 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"] subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"] } subgraph cluster4{ label="Set 4 RecordType(BIGINT ROWCOUNT)"; rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel189 [label="rel#189:JdbcIntermediatePrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"] subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"] subset190 [label="rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster6{ label="Set 6 RecordType(BIGINT ROWCOUNT)"; rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"] subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]",color=red] } root -> subset182; subset175 -> rel89[color=blue]; subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue]; subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue]; subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue]; subset190 -> rel189[color=blue]; rel189 -> subset177[color=blue]; subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue]; } 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [Prel.ScreenPrule] rels [#180,#178] rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89] 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [Prel.ScreenPrule] rels [#180,#178] 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Apply rule [Prel.ScreenPrule] to [rel#180:DrillScreenRel,rel#178:VertexDrel] 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#191 via Prel.ScreenPrule 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Full plan for rule input [rel#180:DrillScreenRel]: DrillScreenRel VertexDrel(subset=[rel#188:RelSubset#4.LOGICAL.ANY([]).[]]) JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Full plan for rule input [rel#178:VertexDrel]: VertexDrel JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Rule [Prel.ScreenPrule] produced [rel#191:ScreenPrel] 2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Full plan for [rel#191:ScreenPrel]: ScreenPrel JdbcIntermediatePrel(subset=[rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]]) JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]) JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#191:ScreenPrel.PHYSICAL.SINGLETON([]). in rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[] 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357 generated 1 successors: [rel#191:ScreenPrel.PHYSICAL.SINGLETON([]).] 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#3, type: RecordType(INTEGER c1, INTEGER c2) rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184 rel#184:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#4, type: RecordType(BIGINT ROWCOUNT) rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176 rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178 rel#178:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[], best=rel#189 rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#6, type: RecordType(BIGINT ROWCOUNT) rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180 rel#180:DrillScreenRel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=rel#191 rel#191:ScreenPrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster3{ label="Set 3 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"] subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"] } subgraph cluster4{ label="Set 4 RecordType(BIGINT ROWCOUNT)"; rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel189 [label="rel#189:JdbcIntermediatePrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"] subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"] subset190 [label="rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster6{ label="Set 6 RecordType(BIGINT ROWCOUNT)"; rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel191 [label="rel#191:ScreenPrel\ninput=RelSubset#190\nrows=1.0E9, cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"] subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]"] } root -> subset182; subset175 -> rel89[color=blue]; subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue]; subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue]; subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue]; subset190 -> rel189[color=blue]; rel189 -> subset177[color=blue]; subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue]; subset182 -> rel191[color=blue]; rel191 -> subset190[color=blue]; } 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89] 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89] 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#184:VertexDrel,rel#89:JdbcTableScan] 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#192 via JDBC_PREL_ConverterJDBC.mysql 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Full plan for rule input [rel#184:VertexDrel]: VertexDrel JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Full plan for rule input [rel#89:JdbcTableScan]: JdbcTableScan(table=[[mysql, test, t1]])

2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#192:JdbcIntermediatePrel] 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Full plan for [rel#192:JdbcIntermediatePrel]: JdbcIntermediatePrel JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])

2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#192:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]). in rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[] 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380 generated 1 successors: [rel#192:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).] 2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} 2022-12-28 19:03:07,374 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#3, type: RecordType(INTEGER c1, INTEGER c2) rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184 rel#184:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[], best=rel#192 rel#192:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#4, type: RecordType(BIGINT ROWCOUNT) rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176 rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178 rel#178:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[], best=rel#189 rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#6, type: RecordType(BIGINT ROWCOUNT) rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180 rel#180:DrillScreenRel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=rel#191 rel#191:ScreenPrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster3{ label="Set 3 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel192 [label="rel#192:JdbcIntermediatePrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"] subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"] subset193 [label="rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster4{ label="Set 4 RecordType(BIGINT ROWCOUNT)"; rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel189 [label="rel#189:JdbcIntermediatePrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"] subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"] subset190 [label="rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster6{ label="Set 6 RecordType(BIGINT ROWCOUNT)"; rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel191 [label="rel#191:ScreenPrel\ninput=RelSubset#190\nrows=1.0E9, cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"] subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]"] } root -> subset182; subset175 -> rel89[color=blue]; subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue]; subset193 -> rel192[color=blue]; rel192 -> subset175[color=blue]; subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue]; subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue]; subset190 -> rel189[color=blue]; rel189 -> subset177[color=blue]; subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue]; subset182 -> rel191[color=blue]; rel191 -> subset190[color=blue]; } 2022-12-28 19:03:07,374 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] INFO o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[] Original rel: VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134 JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121 JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

Sets: Set#3, type: RecordType(INTEGER c1, INTEGER c2) rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89 rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184 rel#184:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[], best=rel#192 rel#192:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#4, type: RecordType(BIGINT ROWCOUNT) rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176 rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178 rel#178:VertexDrel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[], best=rel#189 rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory} Set#6, type: RecordType(BIGINT ROWCOUNT) rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180 rel#180:DrillScreenRel.LOGICAL.ANY([])., rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=rel#191 rel#191:ScreenPrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}

Graphviz: digraph G { root [style=filled,label="Root"]; subgraph cluster3{ label="Set 3 RecordType(INTEGER c1, INTEGER c2)"; rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel192 [label="rel#192:JdbcIntermediatePrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"] subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"] subset193 [label="rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster4{ label="Set 4 RecordType(BIGINT ROWCOUNT)"; rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel189 [label="rel#189:JdbcIntermediatePrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"] subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"] subset190 [label="rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]"] } subgraph cluster6{ label="Set 6 RecordType(BIGINT ROWCOUNT)"; rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] rel191 [label="rel#191:ScreenPrel\ninput=RelSubset#190\nrows=1.0E9, cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box] subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"] subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]"] } root -> subset182; subset175 -> rel89[color=blue]; subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue]; subset193 -> rel192[color=blue]; rel192 -> subset175[color=blue]; subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue]; subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue]; subset190 -> rel189[color=blue]; rel189 -> subset177[color=blue]; subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue]; subset182 -> rel191[color=blue]; rel191 -> subset190[color=blue]; } 2022-12-28 19:03:07,374 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for VolcanoPlanner 2022-12-28 19:03:07,374 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us) JDBC_PREL_ConverterJDBC.mysql 5 2,691 VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL) 5 2,468 ExpandConversionRule 5 256 VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL) 2 722 JDBC_PREL_ConverterJDBC.pg 2 658 JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql) 1 7,641 DrillTableModifyRule 1 643 JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg) 1 566 ProjectRemoveRule 1 493 Prel.ScreenPrule 1 486 JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql) 1 257 JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg) 1 228

  • Total 26 17,109

2022-12-28 19:03:07,375 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Cheapest plan: ScreenPrel: rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 196 JdbcIntermediatePrel: rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 195 JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 176 JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89

2022-12-28 19:03:07,375 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Provenance: rel#196:ScreenPrel.PHYSICAL.SINGLETON([]). direct rel#191:ScreenPrel.PHYSICAL.SINGLETON([]). call#357 rule [Prel.ScreenPrule] rel#180:DrillScreenRel.LOGICAL.ANY([]). no parent rel#178:VertexDrel.LOGICAL.ANY([]). no parent rel#195:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]). direct rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]). call#353 rule [JDBC_PREL_ConverterJDBC.mysql] rel#178 (see above) rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true) no parent rel#177:RelSubset#4.JDBC.mysql.ANY([]).[] subset rel#177:RelSubset#4.JDBC.mysql.ANY([]).[] rel#176 (see above)

2022-12-28 19:03:07,391 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'INSERT INTO'; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'public'; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c1'; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ','; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c2'; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false 2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'SELECT'; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '*'; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'FROM'; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'test'; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false 2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - VOLCANO:Physical Planning (27ms): ScreenPrel: rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 200 JdbcPrel(sql=[INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) ]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 197

2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - Physical RelNode after Top and Rename Project inserting: : ScreenPrel: rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 201 JdbcPrel(sql=[INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) ]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 197

2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Breadth-first from root: { rel#206:HepRelVertex(rel#205:ScreenPrel.PHYSICAL.SINGLETON([]).) = rel#205:ScreenPrel.PHYSICAL.SINGLETON([])., rowcount=1.0E9, cumulative cost={1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory} rel#204:HepRelVertex(rel#197:JdbcPrel.PHYSICAL.SINGLETON([]).[](sql=INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) )) = rel#197:JdbcPrel.PHYSICAL.SINGLETON([]).[](sql=INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) ), rowcount=1.0E9, cumulative cost={1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory} } 2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP 2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage 2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilePushDownFilter:Filter_On_Project] 2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilePushDownFilter:Filter_On_Scan] 2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillPushProjectIntoScanRule:physical] 2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner 2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rules Attempts Time (us)

  • Total 0 0

2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#205:ScreenPrel.PHYSICAL.SINGLETON([]). 2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#197:JdbcPrel.PHYSICAL.SINGLETON([]).[](sql=INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) ) 2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Physical Partition Prune Planning (0ms): ScreenPrel: rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 205 JdbcPrel(sql=[INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) ]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 197

2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - Drill Physical: 00-00 Screen : rowType = RecordType(BIGINT ROWCOUNT): rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 207 00-01 Jdbc(sql=[INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) ]) : rowType = RecordType(BIGINT ROWCOUNT): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 197

weijunlu avatar Dec 28 '22 11:12 weijunlu

2022-12-28 19:03:07,401 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - Drill Plan : { "head" : { "version" : 1, "generator" : { "type" : "InsertHandler", "info" : "" }, "type" : "APACHE_DRILL_PHYSICAL", "options" : [ ], "queue" : 0, "hasResourcePlan" : false, "scannedPluginNames" : [ "mysql", "pg" ], "resultMode" : "EXEC" }, "graph" : [ { "pop" : "jdbc-scan", "@id" : 1, "sql" : "INSERT INTO public.t1 (c1, c2)\r\n(SELECT *\r\nFROM test.t1)", "columns" : [ "ROWCOUNT" ], "config" : { "type" : "jdbc", "driver" : "com.mysql.jdbc.Driver", "url" : "jdbc:mysql://localhost:3316", "username" : "root", "caseInsensitiveTableNames" : true, "writable" : true, "authMode" : "SHARED_USER", "writerBatchSize" : 10000, "enabled" : true }, "userName" : "anonymous", "cost" : { "memoryCost" : 1.6777216E7, "outputRowCount" : 1.0E9 } }, { "pop" : "screen", "@id" : 0, "child" : 1, "initialAllocation" : 1000000, "maxAllocation" : 10000000000, "cost" : { "memoryCost" : 1.6777216E7, "outputRowCount" : 1.0E9 } } ] } 2022-12-28 19:03:07,402 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.f.SimpleParallelizer - Root fragment: handle { query_id { part1: 2041218684968999600 part2: -1153457303194072660 } major_fragment_id: 0 minor_fragment_id: 0 } leaf_fragment: true assignment { address: "DESKTOP-PHHB7LC" user_port: 31010 control_port: 31011 data_port: 31012 version: "2.0.0-SNAPSHOT" state: STARTUP } foreman { address: "DESKTOP-PHHB7LC" user_port: 31010 control_port: 31011 data_port: 31012 version: "2.0.0-SNAPSHOT" state: STARTUP } mem_initial: 1000000 mem_max: 10000000000 credentials { user_name: "anonymous" } context { query_start_time: 1672225387214 time_zone: 299 default_schema_name: "" session_id: "0b3af775-337f-4db3-8ce4-52e20d5c50ee" }

2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.drill.exec.work.foreman.Foreman - PlanFragments for query part1: 2041218684968999600 part2: -1153457303194072660

2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested PLANNING --> ENQUEUED 2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested ENQUEUED --> STARTING 2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.exec.rpc.control.WorkEventBus - Adding fragment status listener for queryId 1c53dd94-4277-9ab0-effe-18b1ab8989ac. 2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.work.foreman.FragmentsRunner - Submitting fragments to run. 2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.exec.ops.FragmentContextImpl - Getting initial memory allocation of 1000000 2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.exec.ops.FragmentContextImpl - Fragment max allocation: 10000000000 2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.work.batch.IncomingBuffers - Came up with a list of 0 required fragments. Fragments {} 2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.work.foreman.FragmentsRunner - Fragments running. 2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested STARTING --> RUNNING 2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.physical.impl.BaseRootExec - BaseRootExec(60762332) operators: org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch 654876346 2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.physical.impl.ImplCreator - Took 17 ms to create RecordBatch tree 2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.w.fragment.FragmentExecutor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0: State change requested AWAITING_ALLOCATION --> RUNNING 2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.w.f.FragmentStatusReporter - 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0: State to report: RUNNING 2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.work.foreman.QueryManager - New fragment status was provided to QueryManager of profile { state: RUNNING minor_fragment_id: 0 operator_profile { input_profile { records: 0 batches: 0 schemas: 0 } operator_id: 1 operator_type: 44 setup_nanos: 0 process_nanos: 9931000 peak_local_memory_allocated: 0 wait_nanos: 0 operator_type_name: "JDBC_SCAN" } operator_profile { input_profile { records: 0 batches: 0 schemas: 0 } operator_id: 0 operator_type: 13 setup_nanos: 0 process_nanos: 0 peak_local_memory_allocated: 0 wait_nanos: 0 operator_type_name: "SCREEN" } start_time: 1672225387403 end_time: 1672225387421 memory_used: 2000000 max_memory_used: 2000000 endpoint { address: "DESKTOP-PHHB7LC" user_port: 31010 control_port: 31011 data_port: 31012 version: "2.0.0-SNAPSHOT" state: STARTUP } } handle { query_id { part1: 2041218684968999600 part2: -1153457303194072660 } major_fragment_id: 0 minor_fragment_id: 0 }

2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.w.fragment.FragmentExecutor - Starting fragment 0:0 on DESKTOP-PHHB7LC:31010 2022-12-28 19:03:07,456 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.store.jdbc.JdbcBatchReader - User Error Occurred: The JDBC storage plugin failed while trying setup the SQL query. (Table 'public.t1' doesn't exist) org.apache.drill.common.exceptions.UserException: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query.

Sql: INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1)

[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 ] at org.apache.drill.common.exceptions.UserException$Builder.build(UserException.java:675) at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:155) at org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework.open(ManagedScanFramework.java:211) at org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader.open(ShimBatchReader.java:76) at org.apache.drill.exec.physical.impl.scan.ReaderState.open(ReaderState.java:224) at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.nextAction(ScanOperatorExec.java:286) at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.next(ScanOperatorExec.java:242) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.doNext(OperatorDriver.java:201) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.start(OperatorDriver.java:179) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.next(OperatorDriver.java:129) at org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch.next(OperatorRecordBatch.java:149) at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:103) at org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot.innerNext(ScreenCreator.java:81) at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:93) at org.apache.drill.exec.work.fragment.FragmentExecutor.lambda$run$0(FragmentExecutor.java:321) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762) at org.apache.drill.exec.work.fragment.FragmentExecutor.run(FragmentExecutor.java:310) at org.apache.drill.common.SelfCleaningRunnable.run(SelfCleaningRunnable.java:38) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:750) Caused by: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'public.t1' doesn't exist at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) at com.mysql.jdbc.Util.handleNewInstance(Util.java:403) at com.mysql.jdbc.Util.getInstance(Util.java:386) at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:944) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3933) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3869) at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2524) at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2675) at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2465) at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1915) at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1254) at com.zaxxer.hikari.pool.ProxyPreparedStatement.execute(ProxyPreparedStatement.java:44) at com.zaxxer.hikari.pool.HikariProxyPreparedStatement.execute(HikariProxyPreparedStatement.java) at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:136) ... 21 common frames omitted 2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] ERROR o.a.d.e.physical.impl.BaseRootExec - Batch dump started: dumping last 1 failed batches 2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] ERROR o.a.d.e.p.i.p.OperatorRecordBatch - OperatorRecordBatch[batchAccessor=org.apache.drill.exec.physical.impl.protocol.VectorContainerAccessor@16ed85d5, lastOutcome=null] 2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] ERROR o.a.d.e.physical.impl.BaseRootExec - Batch dump completed. 2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.w.fragment.FragmentExecutor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0: State change requested RUNNING --> FAILED 2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.ops.OperatorContextImpl - Closing context for org.apache.drill.exec.store.jdbc.JdbcSubScan 2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.physical.impl.BaseRootExec - closed operator 654876346 2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.ops.OperatorContextImpl - Attempted to close Operator context for org.apache.drill.exec.store.jdbc.JdbcSubScan, but context is already closed 2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.ops.OperatorContextImpl - Closing context for org.apache.drill.exec.physical.config.Screen 2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.w.fragment.FragmentExecutor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0: State change requested FAILED --> FINISHED 2022-12-28 19:03:07,463 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.work.foreman.QueryManager - New fragment status was provided to QueryManager of profile { state: FAILED error { error_id: "160a04a4-caff-42ae-ac68-06669b926853" endpoint { address: "DESKTOP-PHHB7LC" user_port: 31010 control_port: 31011 data_port: 31012 version: "2.0.0-SNAPSHOT" state: STARTUP } error_type: DATA_READ message: "DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query. \n\nSql: INSERT INTO public.t1 (c1, c2)\r\n(SELECT *\r\nFROM test.t1)\r\nFragment: 0:0\r\n\r\n[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010]" exception { exception_class: "com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException" message: "Table 'public.t1' doesn't exist" stack_trace { class_name: "..." line_number: 0 method_name: "..." is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.Util" file_name: "Util.java" line_number: 403 method_name: "handleNewInstance" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.Util" file_name: "Util.java" line_number: 386 method_name: "getInstance" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.SQLError" file_name: "SQLError.java" line_number: 944 method_name: "createSQLException" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.MysqlIO" file_name: "MysqlIO.java" line_number: 3933 method_name: "checkErrorPacket" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.MysqlIO" file_name: "MysqlIO.java" line_number: 3869 method_name: "checkErrorPacket" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.MysqlIO" file_name: "MysqlIO.java" line_number: 2524 method_name: "sendCommand" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.MysqlIO" file_name: "MysqlIO.java" line_number: 2675 method_name: "sqlQueryDirect" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.ConnectionImpl" file_name: "ConnectionImpl.java" line_number: 2465 method_name: "execSQL" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.PreparedStatement" file_name: "PreparedStatement.java" line_number: 1915 method_name: "executeInternal" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.PreparedStatement" file_name: "PreparedStatement.java" line_number: 1254 method_name: "execute" is_native_method: false } stack_trace { class_name: "com.zaxxer.hikari.pool.ProxyPreparedStatement" file_name: "ProxyPreparedStatement.java" line_number: 44 method_name: "execute" is_native_method: false } stack_trace { class_name: "com.zaxxer.hikari.pool.HikariProxyPreparedStatement" file_name: "HikariProxyPreparedStatement.java" line_number: -1 method_name: "execute" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.store.jdbc.JdbcBatchReader" file_name: "JdbcBatchReader.java" line_number: 136 method_name: "open" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework" file_name: "ManagedScanFramework.java" line_number: 211 method_name: "open" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader" file_name: "ShimBatchReader.java" line_number: 76 method_name: "open" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.ReaderState" file_name: "ReaderState.java" line_number: 224 method_name: "open" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.ScanOperatorExec" file_name: "ScanOperatorExec.java" line_number: 286 method_name: "nextAction" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.ScanOperatorExec" file_name: "ScanOperatorExec.java" line_number: 242 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver" file_name: "OperatorDriver.java" line_number: 201 method_name: "doNext" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver" file_name: "OperatorDriver.java" line_number: 179 method_name: "start" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver" file_name: "OperatorDriver.java" line_number: 129 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch" file_name: "OperatorRecordBatch.java" line_number: 149 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.BaseRootExec" file_name: "BaseRootExec.java" line_number: 103 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot" file_name: "ScreenCreator.java" line_number: 81 method_name: "innerNext" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.BaseRootExec" file_name: "BaseRootExec.java" line_number: 93 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.work.fragment.FragmentExecutor" file_name: "FragmentExecutor.java" line_number: 321 method_name: "lambda$run$0" is_native_method: false } stack_trace { class_name: "..." line_number: 0 method_name: "..." is_native_method: false } stack_trace { class_name: "org.apache.hadoop.security.UserGroupInformation" file_name: "UserGroupInformation.java" line_number: 1762 method_name: "doAs" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.work.fragment.FragmentExecutor" file_name: "FragmentExecutor.java" line_number: 310 method_name: "run" is_native_method: false } stack_trace { class_name: "org.apache.drill.common.SelfCleaningRunnable" file_name: "SelfCleaningRunnable.java" line_number: 38 method_name: "run" is_native_method: false } stack_trace { class_name: "..." line_number: 0 method_name: "..." is_native_method: false } } } minor_fragment_id: 0 operator_profile { input_profile { records: 0 batches: 0 schemas: 0 } operator_id: 1 operator_type: 44 setup_nanos: 0 process_nanos: 45495300 peak_local_memory_allocated: 0 wait_nanos: 0 operator_type_name: "JDBC_SCAN" } operator_profile { input_profile { records: 0 batches: 0 schemas: 0 } operator_id: 0 operator_type: 13 setup_nanos: 0 process_nanos: 2097 peak_local_memory_allocated: 0 wait_nanos: 1501 operator_type_name: "SCREEN" } start_time: 1672225387403 end_time: 1672225387457 memory_used: 0 max_memory_used: 2000000 endpoint { address: "DESKTOP-PHHB7LC" user_port: 31010 control_port: 31011 data_port: 31012 version: "2.0.0-SNAPSHOT" state: STARTUP } } handle { query_id { part1: 2041218684968999600 part2: -1153457303194072660 } major_fragment_id: 0 minor_fragment_id: 0 }

2022-12-28 19:03:07,469 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested RUNNING --> FAILED 2022-12-28 19:03:07,471 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] WARN o.a.d.exec.rpc.control.WorkEventBus - Fragment 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0 manager is not found in the work bus. 2022-12-28 19:03:07,472 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.drill.exec.work.foreman.Foreman - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: cleaning up. 2022-12-28 19:03:07,472 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.rpc.control.WorkEventBus - Removing fragment status listener for queryId 1c53dd94-4277-9ab0-effe-18b1ab8989ac. 2022-12-28 19:03:07,473 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] TRACE o.a.drill.exec.rpc.user.UserServer - Sending result to client with query_state: FAILED query_id { part1: 2041218684968999600 part2: -1153457303194072660 } error { error_id: "160a04a4-caff-42ae-ac68-06669b926853" endpoint { address: "DESKTOP-PHHB7LC" user_port: 31010 control_port: 31011 data_port: 31012 version: "2.0.0-SNAPSHOT" state: STARTUP } error_type: DATA_READ message: "DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query. \n\nSql: INSERT INTO public.t1 (c1, c2)\r\n(SELECT *\r\nFROM test.t1)\r\nFragment: 0:0\r\n\r\n[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010]" exception { exception_class: "com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException" message: "Table 'public.t1' doesn't exist" stack_trace { class_name: "..." line_number: 0 method_name: "..." is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.Util" file_name: "Util.java" line_number: 403 method_name: "handleNewInstance" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.Util" file_name: "Util.java" line_number: 386 method_name: "getInstance" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.SQLError" file_name: "SQLError.java" line_number: 944 method_name: "createSQLException" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.MysqlIO" file_name: "MysqlIO.java" line_number: 3933 method_name: "checkErrorPacket" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.MysqlIO" file_name: "MysqlIO.java" line_number: 3869 method_name: "checkErrorPacket" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.MysqlIO" file_name: "MysqlIO.java" line_number: 2524 method_name: "sendCommand" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.MysqlIO" file_name: "MysqlIO.java" line_number: 2675 method_name: "sqlQueryDirect" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.ConnectionImpl" file_name: "ConnectionImpl.java" line_number: 2465 method_name: "execSQL" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.PreparedStatement" file_name: "PreparedStatement.java" line_number: 1915 method_name: "executeInternal" is_native_method: false } stack_trace { class_name: "com.mysql.jdbc.PreparedStatement" file_name: "PreparedStatement.java" line_number: 1254 method_name: "execute" is_native_method: false } stack_trace { class_name: "com.zaxxer.hikari.pool.ProxyPreparedStatement" file_name: "ProxyPreparedStatement.java" line_number: 44 method_name: "execute" is_native_method: false } stack_trace { class_name: "com.zaxxer.hikari.pool.HikariProxyPreparedStatement" file_name: "HikariProxyPreparedStatement.java" line_number: -1 method_name: "execute" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.store.jdbc.JdbcBatchReader" file_name: "JdbcBatchReader.java" line_number: 136 method_name: "open" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework" file_name: "ManagedScanFramework.java" line_number: 211 method_name: "open" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader" file_name: "ShimBatchReader.java" line_number: 76 method_name: "open" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.ReaderState" file_name: "ReaderState.java" line_number: 224 method_name: "open" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.ScanOperatorExec" file_name: "ScanOperatorExec.java" line_number: 286 method_name: "nextAction" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.scan.ScanOperatorExec" file_name: "ScanOperatorExec.java" line_number: 242 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver" file_name: "OperatorDriver.java" line_number: 201 method_name: "doNext" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver" file_name: "OperatorDriver.java" line_number: 179 method_name: "start" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver" file_name: "OperatorDriver.java" line_number: 129 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch" file_name: "OperatorRecordBatch.java" line_number: 149 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.BaseRootExec" file_name: "BaseRootExec.java" line_number: 103 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot" file_name: "ScreenCreator.java" line_number: 81 method_name: "innerNext" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.physical.impl.BaseRootExec" file_name: "BaseRootExec.java" line_number: 93 method_name: "next" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.work.fragment.FragmentExecutor" file_name: "FragmentExecutor.java" line_number: 321 method_name: "lambda$run$0" is_native_method: false } stack_trace { class_name: "..." line_number: 0 method_name: "..." is_native_method: false } stack_trace { class_name: "org.apache.hadoop.security.UserGroupInformation" file_name: "UserGroupInformation.java" line_number: 1762 method_name: "doAs" is_native_method: false } stack_trace { class_name: "org.apache.drill.exec.work.fragment.FragmentExecutor" file_name: "FragmentExecutor.java" line_number: 310 method_name: "run" is_native_method: false } stack_trace { class_name: "org.apache.drill.common.SelfCleaningRunnable" file_name: "SelfCleaningRunnable.java" line_number: 38 method_name: "run" is_native_method: false } stack_trace { class_name: "..." line_number: 0 method_name: "..." is_native_method: false } } }

2022-12-28 19:03:07,476 [Client-1] DEBUG o.a.d.e.rpc.user.QueryResultHandler - resultArrived: queryState: FAILED, queryId = 1c53dd94-4277-9ab0-effe-18b1ab8989ac 2022-12-28 19:03:07,476 [Client-1] TRACE o.a.d.e.rpc.user.QueryResultHandler - For QueryId [part1: 2041218684968999600 part2: -1153457303194072660 ], retrieved results listener org.apache.drill.jdbc.impl.DrillCursor$ResultsListener@29741514 2022-12-28 19:03:07,476 [Client-1] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - Received query failure: 2 {} org.apache.drill.common.exceptions.UserRemoteException: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query.

Sql: INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) Fragment: 0:0

[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010] at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:125) at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:422) at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:96) at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:271) at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:241) at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:88) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:327) at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:299) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:286) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1410) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:919) at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:166) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:722) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:658) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:584) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:496) at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:986) at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74) at java.lang.Thread.run(Thread.java:750) Caused by: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'public.t1' doesn't exist at .......(:0) at com.mysql.jdbc.Util.handleNewInstance(Util.java:403) at com.mysql.jdbc.Util.getInstance(Util.java:386) at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:944) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3933) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3869) at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2524) at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2675) at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2465) at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1915) at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1254) at com.zaxxer.hikari.pool.ProxyPreparedStatement.execute(ProxyPreparedStatement.java:44) at com.zaxxer.hikari.pool.HikariProxyPreparedStatement.execute(HikariProxyPreparedStatement.java) at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:136) at org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework.open(ManagedScanFramework.java:211) at org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader.open(ShimBatchReader.java:76) at org.apache.drill.exec.physical.impl.scan.ReaderState.open(ReaderState.java:224) at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.nextAction(ScanOperatorExec.java:286) at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.next(ScanOperatorExec.java:242) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.doNext(OperatorDriver.java:201) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.start(OperatorDriver.java:179) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.next(OperatorDriver.java:129) at org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch.next(OperatorRecordBatch.java:149) at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:103) at org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot.innerNext(ScreenCreator.java:81) at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:93) at org.apache.drill.exec.work.fragment.FragmentExecutor.lambda$run$0(FragmentExecutor.java:321) at .......(:0) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762) at org.apache.drill.exec.work.fragment.FragmentExecutor.run(FragmentExecutor.java:310) at org.apache.drill.common.SelfCleaningRunnable.run(SelfCleaningRunnable.java:38) at .......(:0) 2022-12-28 19:03:07,476 [Client-1] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Query listener closing. 2022-12-28 19:03:07,477 [Client-1] INFO o.a.d.j.i.DrillCursor$ResultsListener - [#2] Query failed: org.apache.drill.common.exceptions.UserRemoteException: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query.

Sql: INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) Fragment: 0:0

[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010] at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:125) at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:422) at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:96) at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:271) at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:241) at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:88) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:327) at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:299) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:286) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1410) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:919) at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:166) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:722) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:658) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:584) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:496) at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:986) at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74) at java.lang.Thread.run(Thread.java:750) Caused by: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'public.t1' doesn't exist at .......(:0) at com.mysql.jdbc.Util.handleNewInstance(Util.java:403) at com.mysql.jdbc.Util.getInstance(Util.java:386) at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:944) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3933) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3869) at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2524) at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2675) at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2465) at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1915) at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1254) at com.zaxxer.hikari.pool.ProxyPreparedStatement.execute(ProxyPreparedStatement.java:44) at com.zaxxer.hikari.pool.HikariProxyPreparedStatement.execute(HikariProxyPreparedStatement.java) at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:136) at org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework.open(ManagedScanFramework.java:211) at org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader.open(ShimBatchReader.java:76) at org.apache.drill.exec.physical.impl.scan.ReaderState.open(ReaderState.java:224) at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.nextAction(ScanOperatorExec.java:286) at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.next(ScanOperatorExec.java:242) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.doNext(OperatorDriver.java:201) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.start(OperatorDriver.java:179) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.next(OperatorDriver.java:129) at org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch.next(OperatorRecordBatch.java:149) at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:103) at org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot.innerNext(ScreenCreator.java:81) at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:93) at org.apache.drill.exec.work.fragment.FragmentExecutor.lambda$run$0(FragmentExecutor.java:321) at .......(:0) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762) at org.apache.drill.exec.work.fragment.FragmentExecutor.run(FragmentExecutor.java:310) at org.apache.drill.common.SelfCleaningRunnable.run(SelfCleaningRunnable.java:38) at .......(:0) 2022-12-28 19:03:07,477 [main] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Dequeued query failure exception: {}. org.apache.drill.common.exceptions.UserRemoteException: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query.

Sql: INSERT INTO public.t1 (c1, c2) (SELECT * FROM test.t1) Fragment: 0:0

[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010] at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:125) at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:422) at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:96) at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:271) at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:241) at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:88) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:327) at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:299) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:286) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1410) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:919) at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:166) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:722) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:658) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:584) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:496) at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:986) at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74) at java.lang.Thread.run(Thread.java:750) Caused by: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'public.t1' doesn't exist at .......(:0) at com.mysql.jdbc.Util.handleNewInstance(Util.java:403) at com.mysql.jdbc.Util.getInstance(Util.java:386) at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:944) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3933) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3869) at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2524) at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2675) at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2465) at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1915) at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1254) at com.zaxxer.hikari.pool.ProxyPreparedStatement.execute(ProxyPreparedStatement.java:44) at com.zaxxer.hikari.pool.HikariProxyPreparedStatement.execute(HikariProxyPreparedStatement.java) at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:136) at org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework.open(ManagedScanFramework.java:211) at org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader.open(ShimBatchReader.java:76) at org.apache.drill.exec.physical.impl.scan.ReaderState.open(ReaderState.java:224) at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.nextAction(ScanOperatorExec.java:286) at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.next(ScanOperatorExec.java:242) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.doNext(OperatorDriver.java:201) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.start(OperatorDriver.java:179) at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.next(OperatorDriver.java:129) at org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch.next(OperatorRecordBatch.java:149) at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:103) at org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot.innerNext(ScreenCreator.java:81) at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:93) at org.apache.drill.exec.work.fragment.FragmentExecutor.lambda$run$0(FragmentExecutor.java:321) at .......(:0) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762) at org.apache.drill.exec.work.fragment.FragmentExecutor.run(FragmentExecutor.java:310) at org.apache.drill.common.SelfCleaningRunnable.run(SelfCleaningRunnable.java:38) at .......(:0) 2022-12-28 19:03:07,478 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested FAILED --> COMPLETED 2022-12-28 19:03:07,478 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] WARN o.a.d.e.w.f.QueryStateProcessor - Dropping request to move to COMPLETED state as query is already at FAILED state (which is terminal). 2022-12-28 19:03:07,478 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.w.f.FragmentStatusReporter - Closing org.apache.drill.exec.work.fragment.FragmentStatusReporter@26ac4f8b 2022-12-28 19:03:07,480 [main] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Query listener closing. 2022-12-28 19:03:07,480 [main] DEBUG o.a.d.j.impl.DrillStatementRegistry - Removing from open-statements registry: org.apache.drill.jdbc.impl.DrillStatementImpl@71df3d2b

weijunlu avatar Dec 28 '22 11:12 weijunlu