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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2019/04/08 23:51:00 UTC
[jira] [Assigned] (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:all-tabpanel ]
Dongjoon Hyun reassigned SPARK-25407:
-------------------------------------
Assignee: Michael Allman (was: Dongjoon Hyun)
> 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
> Assignee: Michael Allman
> Priority: Major
> Fix For: 3.0.0
>
>
> 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 that 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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