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https://issues.apache.org/jira/browse/SPARK-1550?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14049918#comment-14049918
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Matthew Farrellee commented on SPARK-1550:
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this issue as reported is no longer present in spark 1.0, where defaults are
provided for app name and master.
{code}
$ SPARK_HOME=dist
PYTHONPATH=$SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.8.1-src.zip python
Python 2.7.5 (default, Feb 19 2014, 13:47:28)
[GCC 4.8.2 20131212 (Red Hat 4.8.2-7)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from pyspark import SparkContext
>>> sc=SparkContext('local')
[successful creation of context]
{code}
i believe this should be closed as resolved. /cc: [~pwendell]
> Successive creation of spark context fails in pyspark, if the previous
> initialization of spark context had failed.
> ------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-1550
> URL: https://issues.apache.org/jira/browse/SPARK-1550
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Reporter: Prabin Banka
> Labels: pyspark, sparkcontext
>
> For example;-
> In PySpark, if we try to initialize spark context with insufficient
> arguments, >>>sc=SparkContext('local')
> it fails with an exception
> Exception: An application name must be set in your configuration
> This is all fine.
> However, any successive creation of spark context with correct arguments,
> also fails,
> >>>s1=SparkContext('local', 'test1')
> AttributeError: 'SparkContext' object has no attribute 'master'
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