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Azure HDInsights - Sudden Spark Job Failure & Exit - ERROR sender.RawSocketSender: org.fluentd.logger.sender.RawSocketSender

By Dinesh

 

We observed that Spark Job suddenly exited without any Error when running long on Azure HDInsights.

But, we observed following error -

22/07/13 05:38:32 ERROR RawSocketSender [MdsLoggerSenderThread]: Log data 53245216 larger than remaining buffer size 10485760

22/07/13 05:59:54 ERROR sender.RawSocketSender: org.fluentd.logger.sender.RawSocketSender

java.net.ConnectException: Connection refused (Connection refused)

        at java.net.PlainSocketImpl.socketConnect(Native Method)

        at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)

        at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)

        at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)

        at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)

        at java.net.Socket.connect(Socket.java:607)

        at org.fluentd.logger.sender.RawSocketSender.connect(RawSocketSender.java:85)

        at org.fluentd.logger.sender.RawSocketSender.reconnect(RawSocke


On call and debugging with Microsoft, it was found that - 

  •  It looks like peregrine is logging a lot to the point it is exceeding the buffer. 
A quick mitigation would be disable peregrine.Go into your ambari ui and remove the following spark configs. Peregrine dependency: 

spark.sql.queryExecutionListeners=com.microsoft.peregrine.spark.listeners.PlanLogListener 
spark.sql.extensions=com.microsoft.peregrine.spark.extensions.SparkExtensionsHdi
 


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