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https://issues.apache.org/jira/browse/SPARK-13664?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-13664.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11646
[https://github.com/apache/spark/pull/11646]
> Simplify and Speedup HadoopFSRelation
> -------------------------------------
>
> Key: SPARK-13664
> URL: https://issues.apache.org/jira/browse/SPARK-13664
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Michael Armbrust
> Assignee: Michael Armbrust
> Priority: Blocker
> Fix For: 2.0.0
>
>
> A majority of Spark SQL queries likely run though {{HadoopFSRelation}},
> however there are currently several complexity and performance problems with
> this code path:
> - The class mixes the concerns of file management, schema reconciliation,
> scan building, bucketing, partitioning, and writing data.
> - For very large tables, we are broadcasting the entire list of files to
> every executor. [SPARK-11441]
> - For partitioned tables, we always do an extra projection. This results
> not only in a copy, but undoes much of the performance gains that we are
> going to get from vectorized reads.
> This is an umbrella ticket to track a set of improvements to this codepath.
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