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Add support to write bucketed (but not partitioned) tables

Open aditi-pandit opened this issue 1 year ago • 1 comments

The Velox HiveConnector supports writing bucketed files only when they are partitioned as well. This presents a feature gap wrt Presto.

Presto behavior (for bucketed but not partitioned):

  • Supports CTAS into bucketed (but not partitioned tables)
  • Cannot append/overwrite to existing bucketed tables (though can append to TEMPORARY ones).

The CTAS into bucketed tables has become important because such tables are used for CTE (WITH clause). Note: This PR only handles CTAS situations. There will be a separate PR for TEMPORARY tables.

Background

TableWriter and TableFinish

Presto uses TableWriter PlanNodes to do the writing operations. The TableWriter nodes run on the workers. These nodes write the input rows into data files (on a staging directory before moving them to a target directory). The TableWriter node works in conjunction with a TableCommit node on the co-ordinator. The TableCommit node (TableFinishOperator) does the final renaming of target directory and commit to the meta-store.

It is important to note that plans with Bucketed tables involve a LocalExchange that brings all the data to a single driver for TableWriter so that it can bucket and write the data appropriately.

EXPLAIN CREATE TABLE lineitem_bucketed2(orderkey, partkey, suppkey, linenumber, quantity, ds) WITH (bucket_count = 10, bucketed_by = ARRAY['orderkey'], sorted_by = ARRAY['orderkey']) AS SELECT orderkey, partkey, suppkey, linenumber, quantity, '2021-12-20' FROM tpch.tiny.lineitem;

Plan with TableWriter and TableCommit mode. Note the LocalExchange moving all data to a single driver.

- Output[PlanNodeId 7]
     - TableCommit[PlanNodeId 5][Optional[hive.tpch_bucketed.lineitem_bucketed2]] => [rows_23:bigint] 
         - RemoteStreamingExchange[PlanNodeId 299][GATHER] => [rows:bigint, fragments:varbinary, commitcontext:varbinary] 
             - TableWriter[PlanNodeId 6] => [rows:bigint, fragments:varbinary, commitcontext:varbinary] 
                     orderkey := orderkey (1:194)  partkey := partkey (1:204) suppkey := suppkey (1:213) linenumber := linenumber (1:222) quantity := quantity (1:234) ds := expr (1:244)                                             
                 - LocalExchange[PlanNodeId 330][SINGLE] () => [orderkey:bigint, partkey:bigint, suppkey:bigint, linenumber:integer, quantity:double, expr:varchar(10)] >
                         - RemoteStreamingExchange[PlanNodeId 298][REPARTITION] => [orderkey:bigint, partkey:bigint, suppkey:bigint, linenumber:integer, quantity:double, expr:varcha>
                              - ScanProject[PlanNodeId 0,187][table = TableHandle {connectorId='tpch', connectorHandle='lineitem:sf0.01', layout='Optional[lineitem:sf0.01]'}, project>
                                 expr := VARCHAR'2021-12-20' suppkey := tpch:suppkey (1:262) partkey := tpch:partkey (1:262) linenumber := tpch:linenumber (1:262) orderkey := tpch:orderkey (1:262) quantity := tpch:quantity (1:262) 

The above command creates 10 files as follows. 10 is the bucket count.

Aditis-MacBook-Pro:lineitem_bucketed aditipandit$ pwd
${DATA_DIR}/hive_data/tpch/lineitem_bucketed

Aditis-MacBook-Pro:lineitem_bucketed2 aditipandit$ ls
000000_0_20240507_221727_00018_73r2r 
000003_0_20240507_221727_00018_73r2r 
000006_0_20240507_221727_00018_73r2r 
000009_0_20240507_221727_00018_73r2r
000001_0_20240507_221727_00018_73r2r
000004_0_20240507_221727_00018_73r2r 
000007_0_20240507_221727_00018_73r2r
000002_0_20240507_221727_00018_73r2r 
000005_0_20240507_221727_00018_73r2r 
000008_0_20240507_221727_00018_73r2r

TableWriter output

The TableWriter output contains three columns per fragment (one for each individual target file). This format is being presented for completeness. There are no special changes for bucketed tables here. The only important difference is that the writePath/targetPath would not contain the partition directory.

TableWriter output row
ROWrows:BIGINT,fragments:VARBINARY,commitcontext:VARBINARY
Rows Fragments CommitContext
N (numPartitionUpdates) NULL TaskCommitContext
NULL PartitionUpdate0
NULL PartitionUpdate1
NULL ...
NULL PartitionUpdateN

The fragments column is JSON strings of PartitionUpdate as in the following format

{ 
"Name": "ds=2022-08-06/partition=events_pcp_product_finder_product_similartiy__groupby__999999998000212604", 
"updateMode": "NEW", 
"writePath": "", 
"targetPath": "", 
"fileWriteInfos": [ 
   { "writeFileName": "", "targetFileName": "", "fileSize": 3517346970 },
   { "writeFileName": "", "targetFileName": "", "fileSize": 4314798687 }, ] 
"rowCount": 3950431150, 
"inMemoryDataSizeInBytes": 4992001194927, 
"onDiskDataSizeInBytes": 1374893372141, 
"containsNumberedFileNames": false
}

The commitcontext column is a constant vector of TaskCommitContext in JSON string

{ 
"lifespan": "TaskWide", 
"taskId": "20220822_190126_00000_78c2f.1.0.0", 
"pageSinkCommitStrategy": "TASK_COMMIT", 
"lastPage": false
}

Empty buckets

The TableWriter generates PartitionUpdate messages only for the files it has written. So if there are empty buckets then there isn't a PartitionUpdate message for it.

If there are no PartitionUpdate output messages for any bucket, then the TableFinish operator fixes the HiveMetaStore with empty files for each bucket. https://github.com/prestodb/presto/blob/master/presto-hive/src/main/java/com/facebook/presto/hive/HiveMetadata.java#L1794

Design

As outlined above all table writing happens in the TableWriter operator.

The TableWriter forwards the write to the HiveDataSink which is registered by the HiveConnector for it.

The HiveDataSink already supported bucketed (and partitioned) tables. So all the logic for wiring bucket metadata and bucket computation already existed. The only missing piece was to handle fileNames for bucketed but not partitioned files in the writerIds, and map the proper writerId to input rows when appending to the HiveDataSink. This PR fixes that.


Note: The Prestissimo changes are in https://github.com/prestodb/presto/pull/22737

aditi-pandit avatar May 07 '24 23:05 aditi-pandit

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netlify[bot] avatar May 07 '24 23:05 netlify[bot]

@xiaoxmeng has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

facebook-github-bot avatar May 23 '24 21:05 facebook-github-bot

Thanks @xiaoxmeng. Addressed the review comments.

aditi-pandit avatar May 23 '24 22:05 aditi-pandit

In the table writer output, it says N (numPartitionUpdates)

But I remember when I was debugging, the N is actually the num of rows being written

kewang1024 avatar May 25 '24 01:05 kewang1024

@xiaoxmeng merged this pull request in facebookincubator/velox@fe65ed0e3603301c1038c2429c40ee2934b7d93e.

facebook-github-bot avatar May 26 '24 08:05 facebook-github-bot

Conbench analyzed the 1 benchmark run on commit fe65ed0e.

There were no benchmark performance regressions. 🎉

The full Conbench report has more details.

conbench-facebook[bot] avatar May 26 '24 08:05 conbench-facebook[bot]