Hi
Spark provides spark.local.dir configuration to specify work folder on the
pod. You can specify spark.local.dir as your mount path.
Best regards
Manoj GEORGE 于2022年9月1日周四 21:16写道：
> CONFIDENTIAL & RESTRICTED
>
> Hi Team,
>
>
>
> I am new to spark, so please excuse my ignorance.
>
>
>
>
Hi George,
You can try mounting a larger PersistentVolume to the work directory as
described here instead of using localdir which might have site-specific size
constraints:
https://spark.apache.org/docs/latest/running-on-kubernetes.html#using-kubernetes-volumes
-Matt
> On Sep 1, 2022, at
CONFIDENTIAL & RESTRICTED
Hi Team,
I am new to spark, so please excuse my ignorance.
Currently we are trying to run PySpark on Kubernetes cluster. The setup is
working fine for some jobs, but when we are processing a large file ( 36 gb),
we run into one of space issues.
Based on what was
Thanks Sean.
Kind Regards,
Sachit Murarka
On Mon, Mar 8, 2021 at 6:23 PM Sean Owen wrote:
> It's there in the error: No space left on device
> You ran out of disk space (local disk) on one of your machines.
>
> On Mon, Mar 8, 2021 at 2:02 AM Sachit Murarka
> wrote:
>
>
It's there in the error: No space left on device
You ran out of disk space (local disk) on one of your machines.
On Mon, Mar 8, 2021 at 2:02 AM Sachit Murarka
wrote:
> Hi All,
>
> I am getting the following error in my spark job.
>
> Can someone ple
failed 4 times, most recent failure: Lost task 0.3 in stage
>> 41.0 (TID 80817, executor 193): com.esotericsoftware.kryo.KryoException:
>> java.io.IOException: No space left on device\n\tat
>> com.esotericsoftware.kryo.io.Output.flush(Output.java:188)\n\tat
>> com.esotericsoftware.k
t failure: Lost task 0.3 in stage
> 41.0 (TID 80817, executor 193): com.esotericsoftware.kryo.KryoException:
> java.io.IOException: No space left on device\n\tat
> com.esotericsoftware.kryo.io.Output.flush(Output.java:188)\n\tat
> com.esotericsoftware.kryo.io.O
): com.esotericsoftware.kryo.KryoException:
java.io.IOException: No space left on device\n\tat
com.esotericsoftware.kryo.io.Output.flush(Output.java:188)\n\tat
com.esotericsoftware.kryo.io.Output.require(Output.java:164)\n\tat
com.esotericsoftware.kryo.io.Output.writeBytes(Output.java:251)\n\tat
cause though. I'll be happy to
>>> hear deeper insight as well.
>>>
>>> On Mon, Aug 20, 2018 at 7:08 PM, Steve Lewis
>>> wrote:
>>>
>>>>
>>>> We are trying to run a job that has previously run on Spark 1.3 on a
>>>> diffe
o run a job that has previously run on Spark 1.3 on a
>>> different cluster. The job was converted to 2.3 spark and this is a new
>>> cluster.
>>>
>>> The job dies after completing about a half dozen stages with
>>>
>>> java.io.IOException
reviously run on Spark 1.3 on a
>> different cluster. The job was converted to 2.3 spark and this is a new
>> cluster.
>>
>> The job dies after completing about a half dozen stages with
>>
>> java.io.IOException: No space left on device
>>
>>
>>
at has previously run on Spark 1.3 on a
> different cluster. The job was converted to 2.3 spark and this is a new
> cluster.
>
> The job dies after completing about a half dozen stages with
>
> java.io.IOException: No space left on device
>
>
>It appears that
We are trying to run a job that has previously run on Spark 1.3 on a
different cluster. The job was converted to 2.3 spark and this is a
new cluster.
The job dies after completing about a half dozen stages with
java.io.IOException: No space left on device
It appears that the nodes
java.nio.file.FileSystemException:
>> /tmp/spark-523d5331-3884-440c-ac0d-f46838c2029f/executor-390c9cd7-217e-42f3-97cb-fa2734405585/spark-206d92c0-f0d3-443c-97b2-39494e2c5fdd/-4230744641534510169119_cache
>> -> ./PublishGainersandL
ge
> 0.0 (TID 6, 172.29.62.145, executor 0): java.nio.file.FileSystemException:
> /tmp/spark-523d5331-3884-440c-ac0d-f46838c2029f/executor-390c9cd7-217e-42f3-97cb-fa2734405585/spark-206d92c0-f0d3-443c-97b2-39494e2c5fdd/-4230744641534510169119_cache
> -> ./PublishGainersandLosers-1.
/-4230744641534510169119_cache
-> ./PublishGainersandLosers-1.0-SNAPSHOT-shaded-Gopal.jar: No space left on
device
at
sun.nio.fs.UnixException.translateToIOException(UnixException.java:91)
at sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:
rectory, i.e. SPARK_LOCAL_DIRS , to be one
> > having 100 GB space.
> > The heirarchical dataset, whose size is (< 400kB), remains constant
> > throughout the iterations.
> > I have tried the worker cleanup flag but it has no effect i.e.
> > "spark.worker.
I have tried the worker cleanup flag but it has no effect i.e.
> "spark.worker.cleanup.enabled=true"
>
>
>
> Error :
> Caused by: java.io.IOException: No space left on device
> at java.io.FileOutputStream.writeBytes(Native Me
. SPARK_LOCAL_DIRS , to be one
having 100 GB space.
The heirarchical dataset, whose size is (< 400kB), remains constant
throughout the iterations.
I have tried the worker cleanup flag but it has no effect i.e.
"spark.worker.cleanup.enabled=true"
Error :
Caused by: java.io.IOException: No space l
<raj...@gmail.com> wrote:
>
>> did you try calling rdd.unpersist()
>>
>> On Wed, Oct 18, 2017 at 10:04 AM, Mina Aslani <aslanim...@gmail.com>
>> wrote:
>>
>>> Hi,
>>>
>>> I get "No space left on device" error
wrote:
>
>> Hi,
>>
>> I get "No space left on device" error in my spark worker:
>>
>> Error writing stream to file /usr/spark-2.2.0/work/app-.../0/stderr
>> java.io.IOException: No space left on device
>>
>> In my spark cluste
did you try calling rdd.unpersist()
On Wed, Oct 18, 2017 at 10:04 AM, Mina Aslani <aslanim...@gmail.com> wrote:
> Hi,
>
> I get "No space left on device" error in my spark worker:
>
> Error writing stream to file /usr/spark-2.2.0/work/app-.../0/stderr
>
Process data in micro batch
On 18-Oct-2017 10:36 AM, "Chetan Khatri" <chetan.opensou...@gmail.com>
wrote:
> Your hard drive don't have much space
> On 18-Oct-2017 10:35 AM, "Mina Aslani" <aslanim...@gmail.com> wrote:
>
>> Hi,
>>
>&g
Your hard drive don't have much space
On 18-Oct-2017 10:35 AM, "Mina Aslani" <aslanim...@gmail.com> wrote:
> Hi,
>
> I get "No space left on device" error in my spark worker:
>
> Error writing stream to file /usr/spark-2.2.0/work/app-.../0/stderr
>
Hi,
I get "No space left on device" error in my spark worker:
Error writing stream to file /usr/spark-2.2.0/work/app-.../0/stderr
java.io.IOException: No space left on device
In my spark cluster, I have one worker and one master.
My program consumes stream of data from kafka and
September 2015 12:27 AM
To: Jack Yang
Cc: Ted Yu; Andy Huang; user@spark.apache.org
Subject: Re: No space left on device when running graphx job
Would you mind sharing what your solution was? It would help those on the forum
who might run into the same problem. Even it it’s a silly ‘gotcha
4 machines + 4G memory + 4 CPU
>> cores)
>>
>> Basically, I load data using GraphLoader.edgeListFile mthod and then count
>> number of nodes using: graph.vertices.count() method.
>>
>> The problem is :
>>
>>
>>
>> Lost task 11972.0 in sta
):
java.io.IOException: No space left on device
at java.io.FileOutputStream.writeBytes(Native Method)
at java.io.FileOutputStream.write(FileOutputStream.java:345)
when I try a small amount of data, the code is working. So I guess the error
comes from the amount of data.
This is how
4.0 + 4 machines + 4G memory + 4 CPU
> cores)
>
> Basically, I load data using GraphLoader.edgeListFile mthod and then count
> number of nodes using: graph.vertices.count() method.
>
> The problem is :
>
>
>
> *Lost task 11972.0 in stage 6.0 (TID 54585, 192.168.70.1
Hi all,
I resolved the problems.
Thanks folk.
Jack
From: Jack Yang [mailto:j...@uow.edu.au]
Sent: Friday, 25 September 2015 9:57 AM
To: Ted Yu; Andy Huang
Cc: user@spark.apache.org
Subject: RE: No space left on device when running graphx job
Also, please see the screenshot below from spark web
>>
>> 2015-09-05 9:50 GMT+08:00 shenyan zhen <shenya...@gmail.com>:
>>
>>> Has anyone seen this error? Not sure which dir the program was trying to
>>> write to.
>>>
>>> I am running Spark 1.4.1, submitting Spark job to Yarn, in yarn-cli
to.
>
> I am running Spark 1.4.1, submitting Spark job to Yarn, in yarn-client
> mode.
>
> 15/09/04 21:36:06 ERROR SparkContext: Error adding jar
> (java.io.IOException: No space left on device), was the --addJars option
> used?
>
> 15/09/04 21:36:08 ERROR SparkContex
>> I am running Spark 1.4.1, submitting Spark job to Yarn, in yarn-client
>> mode.
>>
>> 15/09/04 21:36:06 ERROR SparkContext: Error adding jar
>> (java.io.IOException: No space left on device), was the --addJars option
>> used?
>>
>>
Has anyone seen this error? Not sure which dir the program was trying to
write to.
I am running Spark 1.4.1, submitting Spark job to Yarn, in yarn-client mode.
15/09/04 21:36:06 ERROR SparkContext: Error adding jar
(java.io.IOException: No space left on device), was the --addJars option
used
on spark which involves expensive shuffle
operation. Basically I require a self-join to be performed on a
sparkDataFrame RDD . The job runs fine for around 15 hours and when the
stage(which performs the sef-join) is about to complete, I get a
*java.io.IOException:
No space left on device*. I
require a self-join to be performed on a
sparkDataFrame RDD . The job runs fine for around 15 hours and when the
stage(which performs the sef-join) is about to complete, I get a
*java.io.IOException:
No space left on device*. I initially thought this could be due to
*spark.local.dir* pointing
:
No space left on device*. I initially thought this could be due to
*spark.local.dir* pointing to */tmp* directory which was configured with
*2GB* of space, since this job requires expensive shuffles,spark requires
more space to write the shuffle files. Hence I configured *spark.local.dir*
to point
Hi,
I am running my graphx application on Spark, but it failed since there is an
error on one executor node(on which available hdfs space is small) that “no
space left on device”.
I can understand why it happened, because my vertex(-attribute) rdd was
becoming bigger and bigger during
since there
is an error on one executor node(on which available hdfs space is small)
that “no space left on device”.
I can understand why it happened, because my vertex(-attribute) rdd was
becoming bigger and bigger during computation…, so maybe sometime the
request on that node was too bigger
:35 GMT+08:00 Yifan LI iamyifa...@gmail.com
mailto:iamyifa...@gmail.com:
Hi,
I am running my graphx application on Spark, but it failed since there is an
error on one executor node(on which available hdfs space is small) that “no
space left on device”.
I can understand why it happened
manager.
2015-05-06 20:35 GMT+08:00 Yifan LI iamyifa...@gmail.com:
Hi,
I am running my graphx application on Spark, but it failed since there is
an error on one executor node(on which available hdfs space is small) that
“no space left on device”.
I can understand why it happened, because my
, but it failed since there is an
error on one executor node(on which available hdfs space is small) that “no
space left on device”.
I can understand why it happened, because my vertex(-attribute) rdd was
becoming bigger and bigger during computation…, so maybe sometime the
request on that node
set by the cluster manager.
2015-05-06 20:35 GMT+08:00 Yifan LI iamyifa...@gmail.com:
Hi,
I am running my graphx application on Spark, but it failed since there is
an error on one executor node(on which available hdfs space is small) that
“no space left on device”.
I can understand why
on device exception when doing repartitioning
of approx. 285 MB of data while these is still 2 GB space left ??
does it mean that repartitioning needs more space (more than 2 GB) for
repartitioning of 285 MB of data ??
best,
/Shahab
java.io.IOException: No space left on device
Hi,
I am getting No space left on device exception when doing repartitioning
of approx. 285 MB of data while these is still 2 GB space left ??
does it mean that repartitioning needs more space (more than 2 GB) for
repartitioning of 285 MB of data ??
best,
/Shahab
java.io.IOException
See
https://wiki.gentoo.org/wiki/Knowledge_Base:No_space_left_on_device_while_there_is_plenty_of_space_available
What's the value for spark.local.dir property ?
Cheers
On Mon, May 4, 2015 at 6:57 AM, shahab shahab.mok...@gmail.com wrote:
Hi,
I am getting No space left on device exception
8.1M).
The problem is that when trying to presist a partition into memory and
there
is not enought memory, the partition is persisted on disk and despite
Having
229G of free disk space, I got No space left on device..
This is how I'm running the program :
./spark-submit --class
of free disk space, I got No space left on device..
This is how I'm running the program :
./spark-submit --class com.custom.sentimentAnalysis.MainPipeline --master
local[2] --driver-memory 5g ml_pipeline.jar labeledTrainData.tsv
testData.tsv
And this is a part of the log:
If you need more
229G of free disk space, I got No space left on device..
This is how I'm running the program :
./spark-submit --class com.custom.sentimentAnalysis.MainPipeline --master
local[2] --driver-memory 5g ml_pipeline.jar labeledTrainData.tsv
testData.tsv
And this is a part of the log:
If you need more
).
The problem is that when trying to presist a partition into memory and
there
is not enought memory, the partition is persisted on disk and despite
Having
229G of free disk space, I got No space left on device..
This is how I'm running the program :
./spark-submit --class
got No space left on device..
This is how I'm running the program :
./spark-submit --class com.custom.sentimentAnalysis.MainPipeline --master
local[2] --driver-memory 5g ml_pipeline.jar labeledTrainData.tsv
testData.tsv
And this is a part of the log:
If you need more informations
Sorry I put the log messages when creating the thread in
http://apache-spark-user-list.1001560.n3.nabble.com/java-io-IOException-No-space-left-on-device-td22702.html
but I forgot that raw messages will not be sent in emails.
So this is the log related to the error :
15/04/29 02:48:50 INFO
):
java.io.FileNotFoundException: /mnt/spa$
k/spark-local-20140827191008-05ae/0c/shuffle_1_7570_5768 (No space left on
device)
java.io.FileOutputStream.open(Native Method)
java.io.FileOutputStream.init(FileOutputStream.java:221)
org.apache.spark.storage.DiskBlockObjectWriter.open
I need some configuration / debugging recommendations to work around no
space left on device. I am completely new to Spark, but I have some
experience with Hadoop.
I have a task where I read images stored in sequence files from s3://,
process them with a map in scala, and write the result back
directory to someplace on /mnt instead. If it's /tmp, you can set
java.io.tmpdir to another directory in Spark's JVM options.
Matei
On August 8, 2014 at 11:02:48 PM, kmatzen (kmat...@gmail.com) wrote:
I need some configuration / debugging recommendations to work around no
space left on device. I am
...@gmail.commailto:matei.zaha...@gmail.com
Date: Saturday, August 9, 2014 at 1:48 PM
To: u...@spark.incubator.apache.orgmailto:u...@spark.incubator.apache.org
u...@spark.incubator.apache.orgmailto:u...@spark.incubator.apache.org,
kmatzen kmat...@gmail.commailto:kmat...@gmail.com
Subject: Re: No space left on device
, Chris DuBois
chris.dub...@gmail.com
wrote:
Hi all,
I am encountering the following error:
INFO scheduler.TaskSetManager: Loss was due to
java.io.IOException:
No
space
left on device [duplicate 4]
For each slave, df -h looks roughtly
...@gmail.com
wrote:
Hi all,
I am encountering the following error:
INFO scheduler.TaskSetManager: Loss was due to
java.io.IOException:
No
space
left on device [duplicate 4]
For each slave, df -h looks roughtly like this, which makes
Hi all,
I am encountering the following error:
INFO scheduler.TaskSetManager: Loss was due to java.io.IOException: No
space left on device [duplicate 4]
For each slave, df -h looks roughtly like this, which makes the above error
surprising.
FilesystemSize Used Avail Use% Mounted
: No space
left on device [duplicate 4]
For each slave, df -h looks roughtly like this, which makes the above error
surprising.
FilesystemSize Used Avail Use% Mounted on
/dev/xvda17.9G 4.4G 3.5G 57% /
tmpfs 7.4G 4.0K 7.4G 1% /dev/shm
/dev/xvdb
(df -i). The assembly build may create many
small files. -Xiangrui
On Tue, Jul 15, 2014 at 11:35 PM, Chris DuBois chris.dub...@gmail.com
wrote:
Hi all,
I am encountering the following error:
INFO scheduler.TaskSetManager: Loss was due to java.io.IOException: No
space
left on device
scheduler.TaskSetManager: Loss was due to java.io.IOException: No space
left on device [duplicate 4]
For each slave, df -h looks roughtly like this, which makes the above error
surprising.
FilesystemSize Used Avail Use% Mounted on
/dev/xvda17.9G 4.4G 3.5G 57
, Chris DuBois chris.dub...@gmail.com
wrote:
Hi all,
I am encountering the following error:
INFO scheduler.TaskSetManager: Loss was due to java.io.IOException: No
space
left on device [duplicate 4]
For each slave, df -h looks roughtly like this, which makes the above
error
encountering the following error:
INFO scheduler.TaskSetManager: Loss was due to java.io.IOException: No
space
left on device [duplicate 4]
For each slave, df -h looks roughtly like this, which makes the above
error
surprising.
FilesystemSize Used Avail Use% Mounted
:
INFO scheduler.TaskSetManager: Loss was due to java.io.IOException:
No
space
left on device [duplicate 4]
For each slave, df -h looks roughtly like this, which makes the above
error
surprising.
FilesystemSize Used Avail Use% Mounted on
/dev/xvda17.9G
, Chris DuBois
chris.dub...@gmail.com
wrote:
Hi all,
I am encountering the following error:
INFO scheduler.TaskSetManager: Loss was due to java.io.IOException:
No
space
left on device [duplicate 4]
For each slave, df -h looks roughtly like this, which makes
left on device [duplicate 4]
For each slave, df -h looks roughtly like this, which makes the
above
error
surprising.
FilesystemSize Used Avail Use% Mounted on
/dev/xvda17.9G 4.4G 3.5G 57% /
tmpfs 7.4G 4.0K 7.4G
this in the spark-ec2 script.
Writing lots of tmp files in the 8GB `/` is not a great idea.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/No-space-left-on-device-error-when-pulling-data-from-s3-tp5450p5518.html
Sent from the Apache Spark User List mailing list archive
Hi,
I've a `no space left on device` exception when pulling some 22GB data from
s3 block storage to the ephemeral HDFS. The cluster is on EC2 using
spark-ec2 script with 4 m1.large.
The code is basically:
val in = sc.textFile(s3://...)
in.saveAsTextFile(hdfs://...)
Spark creates 750 input
I wonder why is your / is full. Try clearing out /tmp and also make sure in
the spark-env.sh you have put SPARK_JAVA_OPTS+=
-Dspark.local.dir=/mnt/spark
Thanks
Best Regards
On Tue, May 6, 2014 at 9:35 PM, Han JU ju.han.fe...@gmail.com wrote:
Hi,
I've a `no space left on device` exception
write temp files to /tmp/hadoop-root ?
2014-05-06 18:05 GMT+02:00 Han JU ju.han.fe...@gmail.com:
Hi,
I've a `no space left on device` exception when pulling some 22GB data
from s3 block storage to the ephemeral HDFS. The cluster is on EC2 using
spark-ec2 script with 4 m1.large.
The code
this thread).
What is interesting is that only two out of the 16 slaves had this
problem :)
Ognen
On 3/24/14, 12:57 AM, Patrick Wendell wrote:
Ognen - just so I understand. The issue is that there weren't enough
inodes and this was causing a No space left on device error? Is that
correct
is that there weren't enough
inodes and this was causing a No space left on device error? Is that
correct? If so, that's good to know because it's definitely counter
intuitive.
On Sun, Mar 23, 2014 at 8:36 PM, Ognen Duzlevski
og...@nengoiksvelzud.com wrote:
I would love to work on this (and other) stuff if I
4 times (most recent failure: Exception failure:
java.io.FileNotFoundException:
/tmp/spark-local-20140323214638-72df/31/shuffle_31_3_127 (No space left
on device))
org.apache.spark.SparkException: Job aborted: Task 167.0:3 failed 4
times (most recent failure: Exception failure
:
java.io.FileNotFoundException:
/tmp/spark-local-20140323214638-72df/31/shuffle_31_3_127
(No space left on device))
org.apache.spark.SparkException: Job aborted: Task 167.0:3 failed 4 times
(most recent failure: Exception failure: java.io.FileNotFoundException:
/tmp/spark-local-20140323214638-72df/31
On 3/23/14, 5:49 PM, Matei Zaharia wrote:
You can set spark.local.dir to put this data somewhere other than /tmp
if /tmp is full. Actually it’s recommended to have multiple local
disks and set to to a comma-separated list of directories, one per disk.
Matei, does the number of tasks/partitions
Aaron, thanks for replying. I am very much puzzled as to what is going
on. A job that used to run on the same cluster is failing with this
mysterious message about not having enough disk space when in fact I can
see through watch df -h that the free space is always hovering around
3+GB on the
Bleh, strike that, one of my slaves was at 100% inode utilization on the
file system. It was /tmp/spark* leftovers that apparently did not get
cleaned up properly after failed or interrupted jobs.
Mental note - run a cron job on all slaves and master to clean up
/tmp/spark* regularly.
Thanks
Thanks for bringing this up, 100% inode utilization is an issue I haven't
seen raised before and this raises another issue which is not on our
current roadmap for state cleanup (cleaning up data which was not fully
cleaned up from a crashed process).
On Sun, Mar 23, 2014 at 7:57 PM, Ognen
I would love to work on this (and other) stuff if I can bother someone
with questions offline or on a dev mailing list.
Ognen
On 3/23/14, 10:04 PM, Aaron Davidson wrote:
Thanks for bringing this up, 100% inode utilization is an issue I
haven't seen raised before and this raises another issue
Ognen - just so I understand. The issue is that there weren't enough
inodes and this was causing a No space left on device error? Is that
correct? If so, that's good to know because it's definitely counter
intuitive.
On Sun, Mar 23, 2014 at 8:36 PM, Ognen Duzlevski
og...@nengoiksvelzud.com wrote
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