GitHub user kiszk opened a pull request:
https://github.com/apache/spark/pull/17087
[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?
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.
## 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/kiszk/spark SPARK-19372
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17087.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 #17087
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commit 6f40a93cfb21597b214f930d3a5bd9c6645ef227
Author: Kazuaki Ishizaki <[email protected]>
Date: 2017-02-27T19:35:04Z
Retry an execution by calling eval() if caught an exception
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