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https://issues.apache.org/jira/browse/SPARK-18243?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15812147#comment-15812147
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Apache Spark commented on SPARK-18243:
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User 'cloud-fan' has created a pull request for this issue:
https://github.com/apache/spark/pull/16517
> Converge the insert path of Hive tables with data source tables
> ---------------------------------------------------------------
>
> Key: SPARK-18243
> URL: https://issues.apache.org/jira/browse/SPARK-18243
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
>
> Inserting data into Hive tables has its own implementation that is distinct
> from data sources: InsertIntoHiveTable, SparkHiveWriterContainer and
> SparkHiveDynamicPartitionWriterContainer.
> I think it should be possible to unify these with data source implementations
> InsertIntoHadoopFsRelationCommand. We can start by implementing an
> OutputWriterFactory/OutputWriter that uses Hive's serdes to write data.
> Note that one other major difference is that data source tables write
> directly to the final destination without using some staging directory, and
> then Spark itself adds the partitions/tables to the catalog. Hive tables
> actually write to some staging directory, and then call Hive metastore's
> loadPartition/loadTable function to load those data in.
>
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