GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/11806
[MINOR][SQL] Use Hadoop 2.0 default value for compression in data sources.
## What changes were proposed in this pull request?
Currently, JSON, TEXT and CSV data sources use `CompressionCodecs` class to
set compression configurations via `option("compress", "codec")`.
I made this uses Hadoop 1.x default value (block level compression).
However, the default value in Hadoop 2.x is record level compression as
described in
[mapred-site.xml](https://hadoop.apache.org/docs/r2.7.1/hadoop-mapreduce-client/hadoop-mapreduce-client-core/mapred-default.xml).
Since it drops Hadoop 1.x, it will make sense to use Hadoop 2.x default
values.
## How was this patch tested?
Via `./dev/run_tests` and unit tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark minor-compression
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11806.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 #11806
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commit 80749a84d60ce7c3c9bbcd6af72a40d7f90c80c3
Author: hyukjinkwon <gurwls...@gmail.com>
Date: 2016-03-18T00:13:32Z
Use Hadoop 2.0 default value for compression
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