GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/16581
[SPARK-18589] [SQL] Fix Python UDF accessing attributes from both side of
join
## What changes were proposed in this pull request?
PythonUDF is unevaluable, which can not be used inside a join condition,
currently the optimizer will push a PythonUDF which accessing both side of join
into the join condition, then the query will fail to plan.
This PR fix this issue by checking the expression is evaluable or not
before pushing it into Join.
## How was this patch tested?
Add a regression test.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/davies/spark pyudf_join
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16581.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 #16581
----
commit 95d73fcf911bfb25b20fea798d1f7b3f4b319e26
Author: Davies Liu <[email protected]>
Date: 2017-01-13T19:50:11Z
Fix Python UDF accessing attributes from both side of join
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