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Posted to issues@spark.apache.org by "Michael Allman (JIRA)" <ji...@apache.org> on 2018/09/11 16:01:00 UTC

[jira] [Commented] (SPARK-25407) Spark throws a `ParquetDecodingException` when attempting to read a field from a complex type in certain cases of schema merging

    [ https://issues.apache.org/jira/browse/SPARK-25407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16610841#comment-16610841 ] 

Michael Allman commented on SPARK-25407:
----------------------------------------

I have a code-complete patch for this bug, but I want to add some code comments before submitting it.

> Spark throws a `ParquetDecodingException` when attempting to read a field from a complex type in certain cases of schema merging
> --------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-25407
>                 URL: https://issues.apache.org/jira/browse/SPARK-25407
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Michael Allman
>            Priority: Major
>
> Spark supports merging schemata across table partitions in which one partition is missing a subfield that's present in another. However, attempting to select that missing field with a query that includes a partition pruning predicate the filters out the partitions that include that field results in a `ParquetDecodingException` when attempting to get the query results.
> This bug is specifically exercised by the failing (but ignored) test case https://github.com/apache/spark/blob/f2d35427eedeacceb6edb8a51974a7e8bbb94bc2/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaPruningSuite.scala#L125-L131.



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