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https://issues.apache.org/jira/browse/SPARK-20236?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15958448#comment-15958448
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Jiang Xingbo commented on SPARK-20236:
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I‘m working on this.
> Overwrite a partitioned table should only overwrite related partitions
> ----------------------------------------------------------------------
>
> Key: SPARK-20236
> URL: https://issues.apache.org/jira/browse/SPARK-20236
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Wenchen Fan
>
> When we overwrite a partitioned table, currently Spark will truncate the
> entire table to write new data, or truncate a bunch of partitions according
> to the given static partitions.
> For example, {{INSERT OVERWRITE tbl ...}} will truncate the entire table,
> {{INSERT OVERWRITE tbl PARTITION (a=1, b)}} will truncate all the partitions
> that starts with {{a=1}}.
> This behavior is kind of reasonable as we can know which partitions will be
> overwritten before runtime. However, hive has a different behavior that it
> only overwrites related partitions, e.g. {{INSERT OVERWRITE tbl SELECT
> 1,2,3}} will only overwrite partition {{a=2, b=3}}, assuming {{tbl}} has only
> one data column and is partitioned by {{a}} and {{b}}.
> It seems better if we can follow hive's behavior.
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