GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/8768
[SPARK-10540] Fixes flaky all-data-type test
This PR breaks the original test case into multiple ones (one test case for
each data type). In this way, test failure output can be much more readable.
Within each test case, we build a table with two columns, one of them is
for the data type to test, the other is an "index" column, which is used to
sort the DataFrame and workaround [SPARK-10591] [1]
[1]: https://issues.apache.org/jira/browse/SPARK-10591
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/liancheng/spark
spark-10540/test-all-data-types
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8768.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 #8768
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commit 9fd75c20c57a0a1e0b9a6175ff4580a22f68b659
Author: Cheng Lian <[email protected]>
Date: 2015-09-15T12:21:24Z
Fixes flaky all-data-type test
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