GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/13431
[SPARK-14343][SQL] Proper column pruning for text data source
## What changes were proposed in this pull request?
Text data source ignores requested schema, and may give wrong result when
the only data column is not requested. This may happen when only partitioning
column(s) are requested for a partitioned text table.
## How was this patch tested?
New test case added in `TextSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/liancheng/spark
spark-14343-partitioned-text-table
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13431.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 #13431
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commit 1074fa61d5d2dd3f690a58a3a69150adc7db974a
Author: Cheng Lian <l...@databricks.com>
Date: 2016-06-01T05:40:27Z
Proper column pruning for text data source
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