[SPARK-6010] [SQL] Merging compatible Parquet schemas before computing splits #4768
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Test build #27951 has started for PR 4768 at commit
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…g splits `ReadContext.init` calls `InitContext.getMergedKeyValueMetadata`, which doesn't know how to merge conflicting user defined key-value metadata and throws exception. In our case, when dealing with different but compatible schemas, we have different Spark SQL schema JSON strings in different Parquet part-files, thus causes this problem. Reading similar Parquet files generated by Hive doesn't suffer from this issue. In this PR, we manually merge the schemas before passing it to `ReadContext` to avoid the exception. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/4768) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #4768 from liancheng/spark-6010 and squashes the following commits: 9002f0a [Cheng Lian] Fixes SPARK-6010 (cherry picked from commit e0fdd46) Signed-off-by: Michael Armbrust <michael@databricks.com>
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ReadContext.initcallsInitContext.getMergedKeyValueMetadata, which doesn't know how to merge conflicting user defined key-value metadata and throws exception. In our case, when dealing with different but compatible schemas, we have different Spark SQL schema JSON strings in different Parquet part-files, thus causes this problem. Reading similar Parquet files generated by Hive doesn't suffer from this issue.In this PR, we manually merge the schemas before passing it to
ReadContextto avoid the exception.