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https://issues.apache.org/jira/browse/SPARK-5528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-5528.
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Resolution: Fixed
Fix Version/s: 1.3.0
Issue resolved by pull request 4308
[https://github.com/apache/spark/pull/4308]
> Support schema merging while reading Parquet files
> --------------------------------------------------
>
> Key: SPARK-5528
> URL: https://issues.apache.org/jira/browse/SPARK-5528
> Project: Spark
> Issue Type: Improvement
> Reporter: Cheng Lian
> Fix For: 1.3.0
>
>
> Spark 1.2.0 and prior versions only reads Parquet schema from {{_metadata}}
> or a random Parquet part-file, and assumes all part-files share exactly the
> same schema.
> In practice, it's common that users append new columns to existing Parquet
> schema. Parquet has native schema merging support for such scenarios. Spark
> SQL should also support this.
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