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https://issues.apache.org/jira/browse/SPARK-15348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16959185#comment-16959185
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Georg Heiler commented on SPARK-15348:
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To my best knowledge, EXTERNAL tables are not faster - they are simply not
managed.
Oftentimes, this means if the writing application is not taking care of
sorting, indexing and handling the small files problem - indeed, this is
slower. But if you properly handle these using spark there should not be a
difference.
The metadata is anyhow stored in hive.
> Hive ACID
> ---------
>
> Key: SPARK-15348
> URL: https://issues.apache.org/jira/browse/SPARK-15348
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 1.6.3, 2.0.2, 2.1.2, 2.2.0, 2.3.0
> Reporter: Ran Haim
> Priority: Major
>
> Spark does not support any feature of hive's transnational tables,
> you cannot use spark to delete/update a table and it also has problems
> reading the aggregated data when no compaction was done.
> Also it seems that compaction is not supported - alter table ... partition
> .... COMPACT 'major'
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