Spark: Add __metadata_col metadata in metadata columns when doing Schema Conversion
#5075
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rdblue
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Jun 24, 2022
spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/TypeToSparkType.java
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Jun 28, 2022
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Thanks, @singhpk234! |
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…pache#5075) Co-authored-by: Prashant Singh <psinghvk@amazon.com>
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…pache#5075) Co-authored-by: Prashant Singh <psinghvk@amazon.com>
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About the change :
Presently when doing schema conversion we were setting
metadatafor all the the columns, but we should add____metadata_colin metadata column which can be used by spark to check if the column ismetadatacol and drop it if required like,here :
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala#L221-L225
Note :
MetadataAttributeextractor uses the above key in attribute meta data to find if the attribute is metadata attribute or not.This PR includes :
(i) Fix for above
(ii) Fix an existing minor typo in
TestSparkSchemaUtilTesting Done
Added an UT for the same.
cc @rdblue @aokolnychyi @jackye1995 @RussellSpitzer