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Marcelo Vanzin commented on SPARK-8646: --------------------------------------- [~j_houg], could you share the exact code you're using to instantiate the context? Here's a script I wrote: {code} import sys from pyspark import SparkContext SparkContext(master=sys.argv[1]).stop() {code} And invoking spark-submit yields the expected results. {{./bin/spark-submit /tmp/script.py local}} works. {{./bin/spark-submit /tmp/script.py foo}} fails because "foo" is not a valid master. So everything seems to be working as expected, which makes me suspicious of your code. > PySpark does not run on YARN > ---------------------------- > > Key: SPARK-8646 > URL: https://issues.apache.org/jira/browse/SPARK-8646 > Project: Spark > Issue Type: Bug > Components: PySpark, YARN > Affects Versions: 1.4.0 > Environment: SPARK_HOME=local/path/to/spark1.4install/dir > also with > SPARK_HOME=local/path/to/spark1.4install/dir > PYTHONPATH=$SPARK_HOME/python/lib > Spark apps are submitted with the command: > $SPARK_HOME/bin/spark-submit outofstock/data_transform.py > hdfs://foe-dev/DEMO_DATA/FACT_POS hdfs:/user/juliet/ex/ yarn-client > data_transform contains a main method, and the rest of the args are parsed in > my own code. > Reporter: Juliet Hougland > Attachments: executor.log, pi-test.log, > spark1.4-SPARK_HOME-set-PYTHONPATH-set.log, > spark1.4-SPARK_HOME-set-inline-HADOOP_CONF_DIR.log, > spark1.4-SPARK_HOME-set.log, spark1.4-verbose.log, verbose-executor.log > > > Running pyspark jobs result in a "no module named pyspark" when run in > yarn-client mode in spark 1.4. > [I believe this JIRA represents the change that introduced this error.| > https://issues.apache.org/jira/browse/SPARK-6869 ] > This does not represent a binary compatible change to spark. Scripts that > worked on previous spark versions (ie comands the use spark-submit) should > continue to work without modification between minor versions. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org