GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/16313
[SPARK-18899][SQL] append a bucketed table using DataFrameWriter with
mismatched bucketing should fail
## What changes were proposed in this pull request?
When we append data to an existing table with
`DataFrameWriter.saveAsTable`, we will check the schema and partition columns
to see if there is a mismatch. However, we forget to check bucketing, which may
lead to a problematic table that has different bucketing in different data
files.
This PR cleans up the checking logic, to fix this bug, and also adds the
schema check for non-file-based data source.
## How was this patch tested?
new regression test.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cloud-fan/spark bug1
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16313.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 #16313
----
commit 370bdc9c15bb865869e2c2e10e60dd501ad8b2f0
Author: Wenchen Fan <wenc...@databricks.com>
Date: 2016-12-16T16:40:16Z
append a bucketed table using DataFrameWriter with mismatched bucketing
should fail
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