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https://issues.apache.org/jira/browse/SPARK-25407?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Allman updated SPARK-25407:
-----------------------------------
    Description: 
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].

  was:
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.


> 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 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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