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Posted to issues@spark.apache.org by "Ala Luszczak (Jira)" <ji...@apache.org> on 2022/07/18 07:59:00 UTC
[jira] [Created] (SPARK-39806) Queries accessing METADATA struct crash on partitioned tables
Ala Luszczak created SPARK-39806:
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Summary: Queries accessing METADATA struct crash on partitioned tables
Key: SPARK-39806
URL: https://issues.apache.org/jira/browse/SPARK-39806
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.3.0
Reporter: Ala Luszczak
There is a problem with a projection we use in `FileScanRDD` to join the metadata row to the row produced by the reader.
https://github.com/apache/spark/blob/e4ca8424474e571d8e137388fe5d54732b68c2f3/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala#L128-L133
The issue is that the projection omits partition columns. As a result, the expressions down the line return a malformed row. The errors crash the query, but the exact message can vary (for example: failed assertion on number of fields in the row, accessing field of incorrect type).
This defect affect only readers producing rows, and only data sets using dynamic partitioning.
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