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https://issues.apache.org/jira/browse/SPARK-2003?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14049243#comment-14049243
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Matthew Farrellee commented on SPARK-2003:
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good catch! i misspoke, you need setMaster if you're using the python repl.
so we're on the same page for: when you use the pyspark repl or spark-submit
prog.py you don't need setMaster.
as for the SparkContext constructor, we can make SparkContext(sparkConf) work,
but it will be an api change that isn't backward compatible.
> SparkContext(SparkConf) doesn't work in pyspark
> -----------------------------------------------
>
> Key: SPARK-2003
> URL: https://issues.apache.org/jira/browse/SPARK-2003
> Project: Spark
> Issue Type: Bug
> Components: Documentation, PySpark
> Affects Versions: 1.0.0
> Reporter: Diana Carroll
> Fix For: 1.0.1, 1.1.0
>
>
> Using SparkConf with SparkContext as described in the Programming Guide does
> NOT work in Python:
> conf = SparkConf.setAppName("blah")
> sc = SparkContext(conf)
> When I tried I got
> AttributeError: 'SparkConf' object has no attribute '_get_object_id'
> [This equivalent code in Scala works fine:
> val conf = new SparkConf().setAppName("blah")
> val sc = new SparkContext(conf)]
> I think this is because there's no equivalent for the Scala constructor
> SparkContext(SparkConf).
> Workaround:
> If I explicitly set the conf parameter in the python call, it does work:
> sconf = SparkConf.setAppName("blah")
> sc = SparkContext(conf=sconf)
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