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https://issues.apache.org/jira/browse/SPARK-15348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16844571#comment-16844571
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Gowtham SB edited comment on SPARK-15348 at 5/21/19 7:27 AM:
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I faced the same issue (Spark for Hive acid tables )and I can able to manage
with JDBC call from Spark. May be I can use this JDBC call from spark until we
get the native ACID support from Spark.
Please refer the below link for code and steps to achieve the same.
[https://github.com/Gowthamsb12/Spark/blob/master/Spark_ACID]
Thanks
was (Author: gowthamsb):
I faced the same issue (Spark for Hive acid tables )and I can able to manage
with JDBC call from Spark. May be I can use this JDBC call from spark until we
get the native ACID support from Spark.
Thanks
> 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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