GitHub user sameeragarwal opened a pull request:
https://github.com/apache/spark/pull/14387
[SPARK-16764][SQL] Recommend disabling vectorized parquet reader on
OutOfMemoryError
## What changes were proposed in this pull request?
We currently don't bound or manage the data array size used by column
vectors in the vectorized reader (they're just bound by INT.MAX) which may lead
to OOMs while reading data. As a short term fix, this patch intercepts the
OutOfMemoryError exception and suggest the user to disable the vectorized
parquet reader.
## How was this patch tested?
Existing Tests
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sameeragarwal/spark oom
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14387.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 #14387
----
commit b62c1d2481ba161ae3b4e17ef83f1f6f46bb51e7
Author: Sameer Agarwal <[email protected]>
Date: 2016-07-28T06:08:14Z
Recommend disabling vectorized parquet reader on OutOfMemoryError
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