GitHub user kasjain opened a pull request:
https://github.com/apache/spark/pull/12356
[SPARK-14557][SQL] Reading textfile (created though CTAS) doesn't work
## What changes were proposed in this pull request?
These changes fixes the below broken functionality
Reading the CSV table created through CTAS query when the path pathFilter
is provided.
1) A bug in HadoopFileReader. Resolved by passing the directory instead of
a list of files in case of pathFilter also, since the below code sets the
path incorrectly otherwise.
FileInputFormat.setInputPaths(jobConf, Seq[Path](new Path(path)): _*)
2) Not using the applyFilterIfApplicable since this triggers the filtering
twice. Once in applyFilterIfApplicable and then again in FileInputFormat. These
changes will also save multiple filterings in the codePath.
## How was this patch tested?
Integration tests, manual tests
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/kasjain/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12356.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 #12356
----
commit 48a598efe78ef1c9560a6af2d74e98b3bfaa8819
Author: Kashish Jain <[email protected]>
Date: 2016-04-13T10:40:34Z
[SPARK-14557][SQL] Reading textfile (created though CTAS) doesn't work when
pathFilter is enabled.
1) A bug in HadoopFileReader. Resolved by passing the directory instead
of a list of files in case of pathFilter also, since it gets triggerred in
FileInputFormat. This also saves multiple filterings in the codePath.
2) Not using the applyFilterIfApplicable
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