GitHub user zjffdu opened a pull request:
https://github.com/apache/spark/pull/14959
[SPARK-17387][PYSPARK] Creating SparkContext() from python without
spark-submit ignores user conf
## What changes were proposed in this pull request?
The cause that now we would ignore SparkConf when launching JVM is that
SparkConf require JVM to be created first.
https://github.com/apache/spark/blob/master/python/pyspark/conf.py#L106
In this PR, I would defer the launching of JVM until SparkContext is
created so that we can pass SparkConf to JVM correctly.
## How was this patch tested?
Use the example code in the description of SPARK-17387,
```
$ SPARK_HOME=$PWD PYTHONPATH=python:python/lib/py4j-0.10.3-src.zip python
Python 2.7.12 (default, Jul 1 2016, 15:12:24)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from pyspark import SparkContext
>>> from pyspark import SparkConf
>>> conf = SparkConf().set("spark.driver.memory", "4g")
>>> sc = SparkContext(conf=conf)
```
And verify the spark.driver.memory is correctly picked up.
```
...op/ -Xmx4g org.apache.spark.deploy.SparkSubmit --conf
spark.driver.memory=4g pyspark-shell
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/zjffdu/spark SPARK-17387
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14959.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 #14959
----
commit f97776152c1e1d02bf5049eb182e37a7e4d5ed52
Author: Jeff Zhang <[email protected]>
Date: 2016-09-05T08:37:06Z
[SPARK-17387][PYSPARK] Creating SparkContext() from python without
spark-submit ignores user conf
----
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