Do you think the ulimit for the user running Spark on your nodes?
Can you run "ulimit -a" under the user who is running spark on the executor
node? Does the result make sense for the data you are trying to process?
Yong
From: szheng.c...@gmail.com
To: user@spark.apache.org
Subject: com.esotericsoftware.kryo.KryoException: java.io.IOException: File too
large vs FileNotFoundException (Too many open files) on spark 1.2.1
Date: Fri, 20 Mar 2015 15:28:26 -0400
Hi All, I try to run a simple sort by on 1.2.1. And it always give me below two
errors: 1, 15/03/20 17:48:29 WARN TaskSetManager: Lost task 2.0 in stage 1.0
(TID 35, ip-10-169-217-47.ec2.internal): java.io.FileNotFoundException:
/tmp/spark-e40bb112-3a08-4f62-9eaa-cd094fcfa624/spark-58f72d53-8afc-41c2-ad6b-e96b479b51f5/spark-fde6da79-0b51-4087-8234-2c07ac6d7586/spark-dd7d6682-19dd-4c66-8aa5-d8a4abe88ca2/16/temp_shuffle_756b59df-ef3a-4680-b3ac-437b53267826
(Too many open files) And then I switch
to:conf.set("spark.shuffle.consolidateFiles",
"true").set("spark.shuffle.manager", "SORT") Then I get the error: Exception in
thread "main" org.apache.spark.SparkException: Job aborted due to stage
failure: Task 5 in stage 1.0 failed 4 times, most recent failure: Lost task 5.3
in stage 1.0 (TID 36, ip-10-169-217-47.ec2.internal):
com.esotericsoftware.kryo.KryoException: java.io.IOException: File too large
at com.esotericsoftware.kryo.io.Output.flush(Output.java:157) I roughly
know the first issue is because Spark shuffle creates too many local temp files
(and I don’t know the solution, because looks like my solution also cause other
issues), but I am not sure what means is the second error. Anyone knows the
solution for both cases? Regards, Shuai
