Github user lvsoft commented on the pull request:
https://github.com/apache/spark/pull/3490#issuecomment-66404194
Sorry for late reply. I'll explain the use cases for multiple properties
files.
Currently I'm working on a benchmark utility for spark. It'll be nature
Github user lvsoft commented on the pull request:
https://github.com/apache/spark/pull/3490#issuecomment-66405387
Well, that's called separated property files, not *common* properties.
It'll be hard to adjust common properties and easy to make mistakes.
Delete tmp files
Github user lvsoft commented on the pull request:
https://github.com/apache/spark/pull/3490#issuecomment-66414770
Well, I can't understand what's the complexity of this PR. I've reviewed
the SPARK-3779 marked as related and didn't find something related to this
patch
GitHub user lvsoft opened a pull request:
https://github.com/apache/spark/pull/3490
spark-submit with accept multiple properties-files and merge the values
Current ```spark-submit``` accepts only one properties-file, and use
```spark-defaults.conf``` if unspecified.
A more
GitHub user lvsoft opened a pull request:
https://github.com/apache/spark/pull/3425
[SPARK-4475] change localhost to 127.0.0.1 if localhost can't be
resolved
This will fix [SPARK-4475]
Simply change localhost to equivalent 127.0.0.1 will solve the issue.
You can merge
Github user lvsoft commented on the pull request:
https://github.com/apache/spark/pull/3424#issuecomment-64302794
I think this is a better solution.
However, pass the port back via socket will affair py4j too.
Currently, stdin is the only supported method in py4j to pass back
Github user lvsoft commented on the pull request:
https://github.com/apache/spark/pull/3425#issuecomment-64308603
I did a doctest in aggregation.py to confirm this fix is OK if
```localhost``` can not be resolved. However, I'm not fully confident that
spark will work well totally
GitHub user lvsoft opened a pull request:
https://github.com/apache/spark/pull/3424
[SPARK-2313] PySpark pass port rather than stdin
This patch will fix [SPARK-2313].
It peek available free port number, and pass the port number to
Py4j.Gateway for binding via command line