of issues.
Caused by: java.lang.RuntimeException: Failed to create file system watcher
service: User limit of inotify instances reached or too many open files
Caused by: java.io.IOException: User limit of inotify instances reached or too
many open files
Failed to create file system watcher service: User limit o
I think your sets not works
try add `ulimit -n 10240 ` in spark-env.sh
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/SparkSQL-too-many-open-files-although-ulimit-set-to-1048576-tp28490p28491.html
Sent from the Apache Spark User List mailing list archive
>> https://easyengine.io/tutorials/linux/increase-open-files-limit/
>>
>> On Fri, Feb 5, 2016 at 1:42 AM, Mohamed Nadjib MAMI <m...@iai.uni-bonn.de
>> > wrote:
>>
>>> Hello all,
>>>
>>> I'm getting the famous *java.io.FileNotFoundException:
AM, Mohamed Nadjib MAMI <m...@iai.uni-bonn.de>
> wrote:
>
>> Hello all,
>>
>> I'm getting the famous *java.io.FileNotFoundException: ... (Too many
>> open files) *exception. What seemed to have helped people out, it
>> haven't for me. I tried to set t
Hello all,
I'm getting the famous /java.io.FileNotFoundException: ... (Too many
open files) /exception. What seemed to have helped people out, it
haven't for me. I tried to set the ulimit via the command line /"ulimit
-n"/, then I tried to add the following lines to
/&quo
;m...@iai.uni-bonn.de>
wrote:
> Hello all,
>
> I'm getting the famous *java.io.FileNotFoundException: ... (Too many open
> files) *exception. What seemed to have helped people out, it haven't for
> me. I tried to set the ulimit via the command line *"ulimit -n"*,
t;
>> melongo_anna...@yahoo.com> wrote:
>>
>>> Vijay,
>>>
>>> Are you closing the fileinputstream at the end of each loop (
>>> in.close())? My guess is those streams aren't close and thus the "too many
>>> open files" exception.
>
n't show in the screen
> shot .
>
> As spark implements, sort-based shuffle, there is a parameter called
> maximum merge factor which decides the number of files that can be merged
> at once and this avoids too many open files. I am suspecting that it is
> something re
Vijay,
Are you closing the fileinputstream at the end of each loop ( in.close())? My
guess is those streams aren't close and thus the "too many open files"
exception.
On Tuesday, January 5, 2016 8:03 AM, Priya Ch
<learnings.chitt...@gmail.com> wrote:
Can some
Yes, the fileinputstream is closed. May be i didn't show in the screen shot
.
As spark implements, sort-based shuffle, there is a parameter called
maximum merge factor which decides the number of files that can be merged
at once and this avoids too many open files. I am suspecting
Can some one throw light on this ?
Regards,
Padma Ch
On Mon, Dec 28, 2015 at 3:59 PM, Priya Ch
wrote:
> Chris, we are using spark 1.3.0 version. we have not set
> spark.streaming.concurrentJobs
> this parameter. It takes the default value.
>
> Vijay,
>
> From
Chris, we are using spark 1.3.0 version. we have not set
spark.streaming.concurrentJobs
this parameter. It takes the default value.
Vijay,
From the tack trace it is evident that
and which version of Spark/Spark Streaming are you using?
are you explicitly setting the spark.streaming.concurrentJobs to something
larger than the default of 1?
if so, please try setting that back to 1 and see if the problem still
exists.
this is a dangerous parameter to modify from the
Few indicators -
1) during execution time - check total number of open files using lsof
command. Need root permissions. If it is cluster not sure much !
2) which exact line in the code is triggering this error ? Can you paste
that snippet ?
On Wednesday 23 December 2015, Priya Ch
ulimit -n 65000
fs.file-max = 65000 ( in etc/sysctl.conf file)
Thanks,
Padma Ch
On Tue, Dec 22, 2015 at 6:47 PM, Yash Sharma wrote:
> Could you share the ulimit for your setup please ?
>
> - Thanks, via mobile, excuse brevity.
> On Dec 22, 2015 6:39 PM, "Priya Ch"
Jakob,
Increased the settings like fs.file-max in /etc/sysctl.conf and also
increased user limit in /etc/security/limits.conf. But still see the same
issue.
On Fri, Dec 18, 2015 at 12:54 AM, Jakob Odersky wrote:
> It might be a good idea to see how many files are open
Hi All,
When running streaming application, I am seeing the below error:
java.io.FileNotFoundException:
/data1/yarn/nm/usercache/root/appcache/application_1450172646510_0004/blockmgr-a81f42cd-6b52-4704-83f3-2cfc12a11b86/02/temp_shuffle_589ddccf-d436-4d2c-9935-e5f8c137b54b
(Too many open
It might be a good idea to see how many files are open and try increasing
the open file limit (this is done on an os level). In some application
use-cases it is actually a legitimate need.
If that doesn't help, make sure you close any unused files and streams in
your code. It will also be easier
It turns out the mesos can overwrite the OS ulimit -n setting. So we have
increased the mesos slave ulimit -n setting.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Too-many-open-files-exception-on-reduceByKey-tp2462p25019.html
Sent from the Apache Spark
laves/20150512-215537-2165010442-5050-1730-S5/frameworks/20150825-175705-2165010442-5050-13705-0338/executors/0/runs/19342849-d076-483c-88da-747896e19b93/./spark-6efa2dcd-aea7-478e-9fa9-6e0973578eb4/blockmgr-33b1e093-6dd6-4462-938c-2597516272a9/27/shuffle_535_2_0.index
(Too many open files)
a
/19342849-d076-483c-88da-747896e19b93/./spark-6efa2dcd-aea7-478e-9fa9-6e0973578eb4/blockmgr-33b1e093-6dd6-4462-938c-2597516272a9/27/shuffle_535_2_0.index
(Too many open files)
at java.io.FileOutputStream.open(Native Method)
at java.io.FileOutputStream.(FileOutputStream.java:221
rs/0/runs/19342849-d076-483c-88da-747896e19b93/./spark-6efa2dcd-aea7-478e-9fa9-6e0973578eb4/blockmgr-33b1e093-6dd6-4462-938c-2597516272a9/27/shuffle_535_2_0.index
> (Too many open files)
> at java.io.FileOutputStream.open(Native Method)
> at java.io.FileOutputStream.(File
(tuple => {
// send data to kafka
}
}
val count = rdd.count
log 'Processed $count records for $directory'
log 'Finished directory processor for $directory'
}
This results in these log lines until the "Too many open files in system"
errors star
On 31 Aug 2015, at 19:49, Sigurd Knippenberg
> wrote:
I know I can adjust the max open files allowed by the OS but I'd rather fix the
underlaying issue.
bumping up the OS handle limits is step #1 of installing a hadoop cluster
Here is the code in which NewHadoopRDD register close handler and be called
when the task is completed (
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala#L136
).
>From my understanding, possibly the reason is that this `foreach` code in
your
ah, now that does sound suspicious...
On 2 Sep 2015, at 14:09, Sigurd Knippenberg
> wrote:
Yep. I know. It's was set to 32K when I ran this test. If I bump it to 64K the
issue goes away. It still doesn't make sense to me that the Spark job
Yep. I know. It's was set to 32K when I ran this test. If I bump it to 64K
the issue goes away. It still doesn't make sense to me that the Spark job
doesn't release its file handles until the end of the job instead of doing
that while my loop iterates.
Sigurd
On Wed, Sep 2, 2015 at 4:33 AM,
I am running in a 'too many open files' issue and before I posted this I
have searched on the web to see if anyone had a solution already to my
particular problem but I did not see anything that helped.
I know I can adjust the max open files allowed by the OS but I'd rather fix
the underlaying
.index
(Too many open files)
..
..
15/07/29 10:37:01 INFO Executor: Executor is trying to kill task 9.0 in
stage 11.0 (TID 306)
org.apache.spark.SparkException: Job aborted due to stage failure: Task 20
in stage 11.0 failed 1 times, most recent failure: Lost task 20.0 in stage
11.0 (TID 317
[mailto:yuzhih...@gmail.com]
Sent: Wednesday, July 29, 2015 12:59 PM
To: Ellafi, Saif A.
Cc: user@spark.apache.org
Subject: Re: Too many open files
Please increase limit for open files:
http://stackoverflow.com/questions/34588/how-do-i-change-the-number-of-open-files-limit-in-linux
On Jul 29, 2015
): java.io.FileNotFoundException:
/tmp/spark-71109b28-0f89-4e07-a521-5ff0a943472a/blockmgr-eda0751d-fd21-4229-93b0-2ee2546edf5a/1b/temp_shuffle_a3a9815a-677a-4342-94a2-1e083d758bcc
(Too many open files)
my fs is ext4 and currently ulist –n is 1024
Thanks
Saif
consequences.
2. I will try to overlook admin access and see if I can get
anything with only user rights
From: Ted Yu [mailto:yuzhih...@gmail.com]
Sent: Wednesday, July 29, 2015 12:59 PM
To: Ellafi, Saif A.
Cc: user@spark.apache.org
Subject: Re: Too many open files
Please increase limit for open
, Apr 29, 2015 at 4:06 PM, Tathagata Das t...@databricks.com
wrote:
Is the function ingestToMysql running on the driver or on the executors?
Accordingly you can try debugging while running in a distributed manner,
with and without calling the function.
If you dont get too many open files
? Accordingly you can try debugging while running in a distributed
manner, with and without calling the function.
If you dont get too many open files without calling ingestToMysql(),
the problem is likely to be in ingestToMysql().
If you get the problem even without calling ingestToMysql
wrote:
Is the function ingestToMysql running on the driver or on the
executors? Accordingly you can try debugging while running in a
distributed
manner, with and without calling the function.
If you dont get too many open files without calling ingestToMysql(),
the problem is likely
org.apache.spark.SparkException: ArrayBuffer(java.io.IOException: Too
many open files, java.io.IOException: Too many open files,
java.io.IOException: Too many open files, java.io.IOException: Too many
open files, java.io.IOException: Too many open files
After around 12 hours, I got the following error messages in Spark log:
15/04/29 20:18:10 ERROR JobScheduler: Error generating jobs for time
143033869 ms
org.apache.spark.SparkException: ArrayBuffer(java.io.IOException: Too many
open files, java.io.IOException: Too many open files
/DirectKafkaWordCount.scala
After around 12 hours, I got the following error messages in Spark log:
15/04/29 20:18:10 ERROR JobScheduler: Error generating jobs for time
143033869 ms
org.apache.spark.SparkException: ArrayBuffer(java.io.IOException: Too
many open files, java.io.IOException
open files, java.io.IOException: Too many open files, java.io.IOException:
Too many open files, java.io.IOException: Too many open files,
java.io.IOException: Too many open files)
at
org.apache.spark.streaming.kafka.DirectKafkaInputDStream.latestLeaderOffsets(DirectKafkaInputDStream.scala
Is the function ingestToMysql running on the driver or on the executors?
Accordingly you can try debugging while running in a distributed manner,
with and without calling the function.
If you dont get too many open files without calling ingestToMysql(), the
problem is likely
running on the driver or on the executors?
Accordingly you can try debugging while running in a distributed manner,
with and without calling the function.
If you dont get too many open files without calling ingestToMysql(), the
problem is likely to be in ingestToMysql().
If you get
try debugging while running in a distributed manner,
with and without calling the function.
If you dont get too many open files without calling ingestToMysql(), the
problem is likely to be in ingestToMysql().
If you get the problem even without calling ingestToMysql(), then the
problem may
143033869 ms
org.apache.spark.SparkException: ArrayBuffer(java.io.IOException: Too
many open files, java.io.IOException: Too many open files,
java.io.IOException: Too many open files, java.io.IOException: Too many
open files, java.io.IOException: Too many open files
. I have fixed
spark.shuffle.manager to SORT. In /etc/secucity/limits.conf set the next
values:
* softnofile 100
* hardnofile 100
In spark-env.sh set ulimit -n 100
I've restarted the spark service and it continues crashing (Too many
open files
to SORT. In /etc/secucity/limits.conf set the next
values:
* softnofile 100
* hardnofile 100
In spark-env.sh set ulimit -n 100
I've restarted the spark service and it continues crashing (Too many
open files)
How can I resolve? I'm executing
and it continues crashing (Too many open
files)
How can I resolve? I'm executing Spark 1.2.0 in Cloudera 5.3.2
java.io.FileNotFoundException:
/tmp/spark-local-20150330115312-37a7/2f/temp_shuffle_c4ba5bce-c516-4a2a-9e40-56121eb84a8c
(Too many open files)
at java.io.FileOutputStream.open(Native
fixed
spark.shuffle.manager to SORT. In /etc/secucity/limits.conf set the next
values:
* softnofile 100
* hardnofile 100
In spark-env.sh set ulimit -n 100
I've restarted the spark service and it continues crashing (Too many open
files)
How can
to SORT. In /etc/secucity/limits.conf set the next
values:
* softnofile 100
* hardnofile 100
In spark-env.sh set ulimit -n 100
I've restarted the spark service and it continues crashing (Too many open
files)
How can I resolve? I'm executing Spark
@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
: 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
-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
-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
Hi,
I am having the same problem reported by Michael. I am trying to open 30
files. ulimit -n shows the limit is 1024. So I am not sure why the program
is failing with Too many open files error. The total size of all the 30
files is 230 GB.
I am running the job on a cluster with 10 nodes, each
the limit is 1024. So I am not sure why the program
is failing with Too many open files error. The total size of all the 30
files is 230 GB.
I am running the job on a cluster with 10 nodes, each having 16 GB. The
error appears to be happening at the distinct() stage.
Here is my program
Hello,
I currently have a task always failing with java.io.FileNotFoundException:
[...]/shuffle_0_257_2155 (Too many open files) when I run sorting
operations such as distinct, sortByKey, or reduceByKey on a large number of
partitions.
Im working with 365 GB of data which is being split
file,
stored in an HDFS cluster running on the same nodes as the Spark cluster,
the job crashes with the message, Too many open files.
My question is, why are so many files being created, and is there a way to
configure the Spark context to avoid spawning that many files? I am already
setting
Hello Andy,
This is a problem we have seen in using the CQL Java driver under heavy
ready loads where it is using NIO and is waiting on many pending responses
which causes to many open sockets and hence too many open files. Are you by
any chance using async queries?
I am the maintainer
57 matches
Mail list logo