[jira] [Resolved] (SPARK-32659) Fix the data issue of inserted DPP on non-atomic type

["Wenchen Fan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-32659?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-32659.
---------------------------------
    Fix Version/s: 3.1.0
                   3.0.1
       Resolution: Fixed

Issue resolved by pull request 29475
[https://github.com/apache/spark/pull/29475]

> Fix the data issue of inserted DPP on non-atomic type
> -----------------------------------------------------
>
>                 Key: SPARK-32659
>                 URL: https://issues.apache.org/jira/browse/SPARK-32659
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Yuming Wang
>            Assignee: Yuming Wang
>            Priority: Major
>              Labels: correctness
>             Fix For: 3.0.1, 3.1.0
>
>
> DPP has data issue when pruning on non-atomic type. for example:
> {noformat}
>  spark.range(1000)
>  .select(col("id"), col("id").as("k"))
>  .write
>  .partitionBy("k")
>  .format("parquet")
>  .mode("overwrite")
>  .saveAsTable("df1");
> spark.range(100)
>  .select(col("id"), col("id").as("k"))
>  .write
>  .partitionBy("k")
>  .format("parquet")
>  .mode("overwrite")
>  .saveAsTable("df2")
> spark.sql("set spark.sql.optimizer.dynamicPartitionPruning.fallbackFilterRatio=2")
> spark.sql("set spark.sql.optimizer.dynamicPartitionPruning.reuseBroadcastOnly=false")
> spark.sql("SELECT df1.id, df2.k FROM df1 JOIN df2 ON struct(df1.k) = struct(df2.k) AND df2.id < 2").show
> {noformat}
>  It should return two records, but it returns empty.



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