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https://issues.apache.org/jira/browse/SPARK-19138?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15812984#comment-15812984
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Apache Spark commented on SPARK-19138:
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User 'rdblue' has created a pull request for this issue:
https://github.com/apache/spark/pull/16519
> Python: new HiveContext will use a stopped SparkContext
> -------------------------------------------------------
>
> Key: SPARK-19138
> URL: https://issues.apache.org/jira/browse/SPARK-19138
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Reporter: Ryan Blue
>
> We have users that run a notebook cell that creates a new SparkContext to
> overwrite some of the default initial parameters:
> {code:lang=python}
> if 'sc' in globals():
> #Stop the running SparkContext if there is one running.
> sc.stop()
> conf = SparkConf().setAppName("app")
> #conf.set('spark.sql.shuffle.partitions', '2000')
> sc = SparkContext(conf=conf)
> sqlContext = HiveContext(sc)
> {code}
> In Spark 2.0, this creates an invalid SQLContext that uses the original
> SparkContext because the [HiveContext
> contstructor|https://github.com/apache/spark/blob/master/python/pyspark/sql/context.py#L514]
> uses SparkSession.getOrCreate that has the old SparkContext. A SparkSession
> should be invalidated and no longer returned by getOrCreate if its
> SparkContext has been stopped.
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