GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/18714
[SPARK-20236][SQL] hive style partition overwrite
## What changes were proposed in this pull request?
When overwriting a partitioned table with dynamic partition columns, the
behavior is different between data source and hive tables.
data source table: delete all partition directories that match the static
partition values provided in the insert statement.
hive table: only delete partition directories which have data written into
it
This PR adds a new config to make users be able to choose hive's behavior.
## How was this patch tested?
new tests
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cloud-fan/spark overwrite-partition
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18714.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #18714
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commit 8e7f5ddff1b4e4d76bd69ed849aa79e7654db3db
Author: Wenchen Fan <wenc...@databricks.com>
Date: 2017-07-22T16:40:27Z
hive style partitin overwrite
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