Below is the output:
core file size (blocks, -c) 0
data seg size (kbytes, -d) unlimited
scheduling priority (-e) 0
file size (blocks, -f) unlimited
pending signals (-i) 1967947
max locked memory (kbytes, -l) 64
max memory size (kbytes, -m) unlimited
open files (-n) 2024
pipe size (512 bytes, -p) 8
POSIX message queues (bytes, -q) 819200
real-time priority (-r) 0
stack size (kbytes, -s) 8192
cpu time (seconds, -t) unlimited
max user processes (-u) 1967947
virtual memory (kbytes, -v) unlimited
file locks (-x) unlimited
I have set the max open file to 2024 by ulimit -n 2024, but same issue
I am not sure whether it is a reasonable setting.
Actually I am doing a loop, each time try to sort only 3GB data, it runs
very quick in first loop, and slow down in second loop. At each time loop I
start and destroy the context (because I want to clean up the temp file
create under tmp folder, which take a lot of space). Just default setting.
My logic:
For loop:
Val sc = new sc
Sql = sc.loadParquet
Sortbykey
Sc.stop
End
And I run on the EC2 c3*8xlarge, Amazon Linux AMI 2014.09.2 (HVM).
From: java8964 [mailto:java8...@hotmail.com]
Sent: Friday, March 20, 2015 3:54 PM
To: user@spark.apache.org
Subject: RE: com.esotericsoftware.kryo.KryoException: java.io.IOException:
File too large vs FileNotFoundException (Too many open files) on spark 1.2.1
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-ad6
b-e96b479b51f5/spark-fde6da79-0b51-4087-8234-2c07ac6d7586/spark-dd7d6682-19d
d-4c66-8aa5-d8a4abe88ca2/16/temp_shuffle_756b59df-ef3a-4680-b3ac-437b5326782
6 (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
