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Posted to issues@spark.apache.org by "Srikanth (JIRA)" <ji...@apache.org> on 2016/10/21 15:37:58 UTC
[jira] [Created] (SPARK-18052) Spark Job failing with
org.apache.spark.rpc.RpcTimeoutException
Srikanth created SPARK-18052:
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Summary: Spark Job failing with org.apache.spark.rpc.RpcTimeoutException
Key: SPARK-18052
URL: https://issues.apache.org/jira/browse/SPARK-18052
Project: Spark
Issue Type: Bug
Components: Spark Submit
Affects Versions: 2.0.0
Environment: 3 node spark cluster, all AWS r3.xlarge instances running on ubuntu.
Reporter: Srikanth
Spark submit jobs are failing with org.apache.spark.rpc.RpcTimeoutException. increased the spark.executor.heartbeatInterval value from 10s to 60s, but still the same issue.
This is happening while saving a dataframe to a mounted network drive. Not using HDFS here. We are able to write successfully for smaller size files under 10G, the data here we are reading is nearly 20G
driver memory = 10G
executor memory = 25G
Please see the attached log file.
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