After wasting a lot of time, I've found the problem. Despite I haven't used hadoop/hdfs in my application, hadoop client matters. The problem was in hadoop-client version, it was different than the version of hadoop, spark was built for. Spark's hadoop version 1.2.1, but in my application that was 2.4.
When I changed the version of hadoop client to 1.2.1 in my app, I'm able to execute spark code on cluster. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Standalone-spark-cluster-Can-t-submit-job-programmatically-java-io-InvalidClassException-tp13456p13688.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
