GitHub user viirya opened a pull request: https://github.com/apache/spark/pull/16454
[SPARK-19055][SQL][PySpark] Fix SparkSession initialization when SparkContext is stopped ## What changes were proposed in this pull request? In SparkSession initialization, we store created the instance of SparkSession into a class variable _instantiatedContext. Next time we can use SparkSession.builder.getOrCreate() to retrieve the existing SparkSession instance. However, when the active SparkContext is stopped and we create another new SparkContext to use, the existing SparkSession is still associated with the stopped SparkContext. So the operations with this existing SparkSession will be failed. We need to detect such case in SparkSession and renew the class variable _instantiatedContext if needed. ## How was this patch tested? New test added in PySpark. Please review http://spark.apache.org/contributing.html before opening a pull request. You can merge this pull request into a Git repository by running: $ git pull https://github.com/viirya/spark-1 fix-pyspark-sparksession Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/16454.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 #16454 ---- commit 80bba5ead0601f3ef4b05fff5391d07a61e06341 Author: Liang-Chi Hsieh <vii...@gmail.com> Date: 2017-01-03T03:06:21Z Fix SparkSession initialization when previous SparkContext is stopped and new SparkContext is created. ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org