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Posted to issues@spark.apache.org by "Michael Allman (JIRA)" <ji...@apache.org> on 2018/09/11 16:00:00 UTC
[jira] [Created] (SPARK-25407) Spark throws a
`ParquetDecodingException` when attempting to read a field from a complex
type in certain cases of schema merging
Michael Allman created SPARK-25407:
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Summary: 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
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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