[jira] [Commented] (SPARK-18243) Converge the insert path of Hive tables with data source tables

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-18243?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15812147#comment-15812147 ] 

Apache Spark commented on SPARK-18243:
--------------------------------------

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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