[spark] Support drop partition from top level

[baiyangtx]

Purpose

To support drop partition from top level in spark if partition spec with one more fields

example:

CREATE TABLE tbl (id int, data string) 
USING paimon 
PARTITIONED BY (dt string, hour string, event string);

ALTER TABLE tbl DROP PARTITION (dt='2023-01-01');

Tests

• DDLTestBase.scala
• DropPartitionParserTest.java
• PaimonPartitionManagementTest.scala

API and Format

No

Documentation

No

[Zouxxyy]

Can have a look at https://github.com/apache/spark/pull/48108

[baiyangtx]

Can have a look at apache/spark#48108

It looks like the Spark community hasn’t accepted this PR. Could we implement the feature within Paimon instead? From a data-ops perspective, cascading deletes based on parent partitions is a very useful capability.

[baiyangtx]

Would you mind have a look? @Zouxxyy @JingsongLi

[Aitozi]

Can have a look at apache/spark#48108

It looks like the Spark community hasn’t accepted this PR. Could we implement the feature within Paimon instead? From a data-ops perspective, cascading deletes based on parent partitions is a very useful capability.

+1, Can we support in paimon first to enable drop from the top level ? I think it's a useful feature to enhance the paimon spark operation cc @Zouxxyy @JingsongLi