GitHub user poplav opened a pull request:
https://github.com/apache/spark/pull/18942
[BACKPORT-2.1][SPARK-19372][SQL] Fix throwing a Java exception at
df.fliter() due to 64KB bytecode size limit
### What changes were proposed in this pull request?
This PR is backport of #17087 to Spark 2.1
### How was this patch tested?
Add a test suite into DataFrameSuite
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/poplav/spark SPARK-19372-branch21
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18942.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 #18942
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commit c74cb09ed8e36efc51d2725c66e1f6f325233ecd
Author: Kazuaki Ishizaki <[email protected]>
Date: 2017-05-16T21:47:21Z
[SPARK-19372][SQL] Fix throwing a Java exception at df.fliter() due to 64KB
bytecode size limit
When an expression for `df.filter()` has many nodes (e.g. 400), the size of
Java bytecode for the generated Java code is more than 64KB. It produces an
Java exception. As a result, the execution fails.
This PR continues to execute by calling `Expression.eval()` disabling code
generation if an exception has been caught.
Add a test suite into `DataFrameSuite`
Author: Kazuaki Ishizaki <[email protected]>
Closes #17087 from kiszk/SPARK-19372.
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