GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/14450
[SPARK-16847][SQL] Prevent to potentially read corrupt statstics on binary
in Parquet a VectorizedReader
## What changes were proposed in this pull request?
it is still possible to read corrupt Parquet's statistics.
This problem was found in
[PARQUET-251](https://issues.apache.org/jira/browse/PARQUET-251) and we
disabled filter pushdown on binary columns in Spark before.
We enabled this after upgrading Parquet but it seems there are potential
incompatibility for Parquet files written in lower Spark versions.
Currently, this does not affect Parquet standard API. However, In Spark, we
implemented a vectorized reader, separately with Parquet's standard API. For
standard API, this is being handled but not in the vectorized reader.
This will be okay in Spark 2.0 because we don't use the statistics for not
in vectorized reader, https://github.com/apache/spark/pull/13701. However, if
we support this, we will meet this potential incompatibility.
It is okay to just pass `FileMetaData`. This is being handled in parquet-mr
(See
https://github.com/apache/parquet-mr/commit/e3b95020f777eb5e0651977f654c1662e3ea1f29)
## How was this patch tested?
N/A
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark SPARK-16847
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14450.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 #14450
----
commit 3c461117852c86eae631b06cacfd72773653083c
Author: hyukjinkwon <gurwls...@gmail.com>
Date: 2016-08-02T04:31:04Z
Prevent to potentially read corrupt statstics on binary in Parquet via
VectorizedReader
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