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https://issues.apache.org/jira/browse/SPARK-6632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14388520#comment-14388520
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Apache Spark commented on SPARK-6632:
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User 'saucam' has created a pull request for this issue:
https://github.com/apache/spark/pull/5298
> Optimize the parquetSchema to metastore schema reconciliation, so that the
> process is delegated to each map task itself
> -----------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-6632
> URL: https://issues.apache.org/jira/browse/SPARK-6632
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: Yash Datta
> Fix For: 1.4.0
>
>
> Currently in ParquetRelation2, schema from all the part files is first
> merged, and then reconciled with metastore schema. This approach does not
> scale in case we have thousands of partitions for the table. We can take a
> different approach where we can go ahead with the metastore schema, and
> reconcile the names of the columns within each map task , using ReadSupport
> hooks provided in parquet.
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