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https://issues.apache.org/jira/browse/SPARK-2597?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14067814#comment-14067814
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Yin Huai commented on SPARK-2597:
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Hive uses HiveInputFormat as the wrapper of different InputFormats. We may want
to have a similar approach (HiveInputFormat cannot be used directly).
> Improve the code related to Table Scan
> --------------------------------------
>
> Key: SPARK-2597
> URL: https://issues.apache.org/jira/browse/SPARK-2597
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Yin Huai
> Assignee: Yin Huai
>
> There are a several issues with the current code related to Table Scan.
> 1. HadoopTableReader and HiveTableScan are used together to deal with Hive
> tables. It is not clear why we do the Hive-specific work in two different
> places.
> 2. HadoopTableReader creates a RDD for every Hive partition and then Union
> these RDDs. Is it the right way to handle partitioned tables?
> 3. Right now, we ship initializeLocalJobConfFunc to every task to set some
> local properties. Can we avoid it?
> I think it will be good to improve the code related to Table Scan. Also, it
> is important to make sure we do not introduce performance issues with the
> proposed changes.
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