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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

@rxin
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rxin commented Jul 28, 2016

LGTM pending Jenkins.

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SparkQA commented Jul 28, 2016

Test build #62955 has finished for PR 14387 at commit b62c1d2.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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rxin commented Jul 28, 2016

Merging in master/2.0.

asfgit pushed a commit that referenced this pull request Jul 28, 2016
…utOfMemoryError

## 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

Author: Sameer Agarwal <sameerag@cs.berkeley.edu>

Closes #14387 from sameeragarwal/oom.

(cherry picked from commit 3fd39b8)
Signed-off-by: Reynold Xin <rxin@databricks.com>
@asfgit asfgit closed this in 3fd39b8 Jul 28, 2016
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3 participants