n in finally: Java heap space
java.lang.OutOfMemoryError: Java heap space
at java.nio.HeapByteBuffer.(HeapByteBuffer.java:57)
~[na:1.8.0_162]
at java.nio.ByteBuffer.allocate(ByteBuffer.java:335) ~[na:1.8.0_162]
at
org.apache.spark.broadcast.TorrentBroadcast$$anonfun$4.apply(TorrentBroadca
10:09:26 INFO BlockManagerInfo: Removed taskresult_362 on
ip-...-45.dev:40963 in memory (size: 5.2 MB, free: 8.9 GB)
17/04/24 10:09:26 INFO TaskSetManager: Finished task 125.0 in stage 1.0
(TID 359) in 4383 ms on ip-...-45.dev (125/234)
#
# java.lang.OutOfMemoryError: Java heap space
Hi,
I have 1 master and 4 slave node. Input data size is 14GB.
Slave Node config : 32GB Ram,16 core
I am trying to train word embedding model using spark. It is going out of
memory. To train 14GB of data how much memory do i require?.
I have givem 20gb per executor but below shows it is using
Hi,
Need a help to figure out and solve heap space problem.
I have query which contains 15+ table and when i trying to print out the
result(Just 23 rows) it throws heap space error.
Following command i tried in standalone mode:
(My mac machine having 8 core and 15GB ram)
ead "dispatcher-event-loop-1"
java.lang.OutOfMemoryError: Java heap space
> How much heap memory do you give the driver ?
>
> On Fri, Jul 22, 2016 at 2:17 PM, Andy Davidson <a...@santacruzintegration.com>
> wrote:
>> Given I get a stack trace in my python notebook I am
TaskSetManager: Stage 146 contains a task of very
> large size (145 KB). The maximum recommended task size is 100 KB.
>
> 16/07/22 18:39:47 WARN HeartbeatReceiver: Removing executor 2 with no
> recent heartbeats: 153037 ms exceeds timeout 12 ms
>
> Excepti
skSetManager: Stage 146 contains a task of very
large size (145 KB). The maximum recommended task size is 100 KB.
16/07/22 18:39:47 WARN HeartbeatReceiver: Removing executor 2 with no recent
heartbeats: 153037 ms exceeds timeout 12 ms
Exception in thread "dispatcher-event-loop-1"
GB Ubuntu server...
>>>>>
>>>>> I have changed things in the conf file, but it looks like Spark does not
>>>>> care, so I wonder if my issues are with the driver or executor.
>>>>>
>>>>> I set:
>>>
ues are with the driver or executor.
>>>>
>>>> I set:
>>>>
>>>> spark.driver.memory 20g
>>>> spark.executor.memory 20g
>>>> And, whatever I do, the crash is always at the same spot in the app, which
>>>
:
>>>
>>> spark.driver.memory 20g
>>> spark.executor.memory 20g
>>> And, whatever I do, the crash is always at the same spot in the app, which
>>> makes me think that it is a driver pro
ame spot in the app, which
>> makes me think that it is a driver problem.
>>
>> The exception I get is:
>>
>> 16/07/13 20:36:30 WARN TaskSetManager: Lost task 0.0 in stage 7.0 (TID 208,
>> micha.nc.rr.com): java.lang.OutOfMemoryError: Java heap space
>> at java.nio.H
gt;
> The exception I get is:
>
> 16/07/13 20:36:30 WARN TaskSetManager: Lost task 0.0 in stage 7.0 (TID 208,
> micha.nc.rr.com): java.lang.OutOfMemoryError: Java heap space
> at java.nio.HeapCharBuffer.(HeapCharBuffer.java:57)
> at java.n
): java.lang.OutOfMemoryError: Java heap space
at java.nio.HeapCharBuffer.(HeapCharBuffer.java:57)
at java.nio.CharBuffer.allocate(CharBuffer.java:335)
at java.nio.charset.CharsetDecoder.decode(CharsetDecoder.java:810)
at org.apache.hadoop.io.Text.decode(Text.java:412
ActorSystem [sparkDriver]
java.lang.OutOfMemoryError: Java heap space
at
com.google.protobuf.AbstractMessageLite.toByteArray(AbstractMessageLite.java:62)
at
akka.remote.transport.AkkaPduProtobufCodec$.constructMessage(AkkaPduCodec.scala:138)
at akka.remote.EndpointWriter.writeSend(Endpoint.scala:740
t;
>>
>> *From:* Shuai Zheng [mailto:szheng.c...@gmail.com]
>> *Sent:* Wednesday, November 04, 2015 3:22 PM
>> *To:* user@spark.apache.org
>> *Subject:* [Spark 1.5]: Exception in thread "broadcast-hash-join-2"
>> java.lang.OutOfMemoryError: Java heap
s proven
>>> that there is no issue on the logic and data, it is caused by the new
>>> version of Spark.
>>>
>>>
>>>
>>> So I want to know any new setup I should set in Spark 1.5 to make it
>>> work?
>>>
>>>
>>>
>>> R
oin-2"
java.lang.OutOfMemoryError: Java heap space
Hi All,
I have a program which actually run a bit complex business (join) in spark.
And I have below exception:
I running on Spark 1.5, and with parameter:
spark-submit --deploy-mode client --executor-cores=24 --driver-memory=2G
uot;).set("spark.sql.autoBroadcastJoinThreshold",
"104857600");
This is running on AWS c3*8xlarge instance. I am not sure what kind of
parameter I should set if I have below OutOfMemoryError exception.
#
# java.lang.OutOfMemoryError: Java heap space
# -XX:OnOutOfMemoryError="kill -9
@spark.apache.org
Sent: Thursday, June 11, 2015 8:43 AM
Subject: spark-sql from CLI ---EXCEPTION: java.lang.OutOfMemoryError: Java
heap space
hey guys
Using Hive and Impala daily intensively.Want to transition to spark-sql in CLI
mode
Currently in my sandbox I am using the Spark (standalone mode
event ([id: 0x01b99855,
/10.0.0.19:58117 = /10.0.0.19:52016] EXCEPTION:
java.lang.OutOfMemoryError: Java heap space)
java.lang.OutOfMemoryError: Java heap space
at
org.jboss.netty.buffer.HeapChannelBuffer.init(HeapChannelBuffer.java:42
---EXCEPTION: java.lang.OutOfMemoryError:
Java heap space
It sounds like this might be caused by a memory configuration problem. In
addition to looking at the executor memory, I'd also bump up the driver memory,
since it appears that your shell is running out of memory when collecting a
large query
:58117 = /10.0.0.19:52016] EXCEPTION:
java.lang.OutOfMemoryError: Java heap space)
java.lang.OutOfMemoryError: Java heap space
at
org.jboss.netty.buffer.HeapChannelBuffer.init(HeapChannelBuffer.java:42)
at
org.jboss.netty.buffer.BigEndianHeapChannelBuffer.init
while handling an exception event ([id: 0x01b99855,
/10.0.0.19:58117 = /10.0.0.19:52016] EXCEPTION: java.lang.OutOfMemoryError:
Java heap space)
java.lang.OutOfMemoryError: Java heap space
at
org.jboss.netty.buffer.HeapChannelBuffer.init(HeapChannelBuffer.java:42
: 0x01b99855,
/10.0.0.19:58117 = /10.0.0.19:52016] EXCEPTION: java.lang.OutOfMemoryError:
Java heap space)
java.lang.OutOfMemoryError: Java heap space
at
org.jboss.netty.buffer.HeapChannelBuffer.init(HeapChannelBuffer.java:42)
at
org.jboss.netty.buffer.BigEndianHeapChannelBuffer.init
handler while handling an exception event ([id: 0x01b99855,
/10.0.0.19:58117 = /10.0.0.19:52016] EXCEPTION: java.lang.OutOfMemoryError:
Java heap space)java.lang.OutOfMemoryError: Java heap space at
org.jboss.netty.buffer.HeapChannelBuffer.init(HeapChannelBuffer.java:42
Hi,
I'm trying to train an SVM on KDD2010 dataset (available from libsvm). But
I'm getting java.lang.OutOfMemoryError: Java heap space error. The dataset
is really sparse and have around 8 million data points and 20 million
features. I'm using a cluster of 8 nodes (each with 8 cores and 64G RAM
Try increasing your driver memory.
Thanks
Best Regards
On Thu, Apr 16, 2015 at 6:09 PM, sarath sarathkrishn...@gmail.com wrote:
Hi,
I'm trying to train an SVM on KDD2010 dataset (available from libsvm). But
I'm getting java.lang.OutOfMemoryError: Java heap space error. The
dataset
Hi Jay,
Please try increasing executor memory (if the available memory is more
than 2GB) and reduce numBlocks in ALS. The current implementation
stores all subproblems in memory and hence the memory requirement is
significant when k is large. You can also try reducing k and see
whether the
I am not sure this can help you. I have 57 million rating,about 4million user
and 4k items. I used 7-14 total-executor-cores,executal-memory 13g,cluster
have 4 nodes,each have 4cores,max memory 16g.
I found set as follows may help avoid this problem:
Hi,How many clients and how many products do you have?CheersGen
jaykatukuri wrote
Hi all,I am running into an out of memory error while running ALS using
MLLIB on a reasonably small data set consisting of around 6 Million
ratings.The stack trace is below:java.lang.OutOfMemoryError: Java heap
How many working nodes do these 100 executors locate at?
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/MLLib-ALS-java-lang-OutOfMemoryError-Java-heap-space-tp20584p20610.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
:34602], 1 messages pending
14/10/20 22:38:41 INFO ConnectionManager: Accepted connection from
[cse-hadoop-113/192.168.0.113]
Exception in thread pool-5-thread-3 java.lang.OutOfMemoryError: Java heap
space
at java.nio.HeapByteBuffer.init(HeapByteBuffer.java:57
\*
* --conf spark.driver.memory=2g \*
* target/scala-2.10/my-job_2.10-1.0.jar*
I get the following error :
*Exception in thread stdin writer for List(patch_matching_similarity)
java.lang.OutOfMemoryError: Java heap space*
* at java.util.Arrays.copyOf(Arrays.java:2271
] \
--conf spark.executor.memory=4g \
--conf spark.driver.memory=2g \
target/scala-2.10/my-job_2.10-1.0.jar
I get the following error :
Exception in thread stdin writer for List(patch_matching_similarity)
java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOf
) associated
with image id. My goal is to draw these primitives on the corresponding
image. So my first attempt is to join images and primitives by image ids
and then do the drawing.
But, when I do
*primitives.join(images) *
I got the following error :
*java.lang.OutOfMemoryError: Java heap space
(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)14/07/31 09:48:17 ERROR
ExecutorUncaughtExceptionHandler: Uncaught exception in thread Thread[Executor
task launch worker-3,5,main]java.lang.OutOfMemoryError: Java heap space at
java.util.Arrays.copyOf(Arrays.java:2271
in thread Thread[Executor task launch worker-3,5,main]
java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOf(Arrays.java:2271)
at
java.io.ByteArrayOutputStream.toByteArray(ByteArrayOutputStream.java:178)
at
org.apache.spark.serializer.JavaSerializerInstance.serialize
.
java.lang.OutOfMemoryError: Java heap space
at
org.jboss.netty.buffer.HeapChannelBuffer.init(HeapChannelBuffer.java:42)
---
The specifics of the job is as follows:
- It reads 168016 files on the HDFS, by calling
sc.textFile(hdfs://cluster01/user/data/*/*/*.csv)
- The total size of the files is 164,111,123,686
.
-Original Message-
From: innowireless TaeYun Kim [mailto:taeyun@innowireless.co.kr]
Sent: Wednesday, July 02, 2014 5:58 PM
To: user@spark.apache.org
Subject: Help: WARN AbstractNioSelector: Unexpected exception in the
selector loop. java.lang.OutOfMemoryError: Java heap space
Hi
. java.lang.OutOfMemoryError: Java heap space
Also, the machine on which the driver program runs constantly uses about
7~8% of 100Mbps network connection.
Is the driver program involved in the reduceByKey() somehow?
BTW, currently an accumulator is used, but the network usage does not drop
even when accumulator
lightweight.
I
On Wed, Jun 18, 2014 at 5:17 PM, Shivani Rao raoshiv...@gmail.com
wrote:
I am trying to process a file that contains 4 log lines (not very long)
and then write my parsed out case classes to a destination folder, and I
get the following error:
java.lang.OutOfMemoryError: Java
:
java.lang.OutOfMemoryError: Java heap space
at
org.apache.hadoop.io.WritableUtils.readCompressedStringArray(WritableUtils.java:183)
at
org.apache.hadoop.conf.Configuration.readFields(Configuration.java:2244)
at
org.apache.hadoop.io.ObjectWritable.readObject(ObjectWritable.java:280
folder,
and I get the following error:
java.lang.OutOfMemoryError: Java heap space
at
org.apache.hadoop.io.WritableUtils.readCompressedStringArray(WritableUtils.java:183)
at
org.apache.hadoop.conf.Configuration.readFields(Configuration.java:2244
the following error:
java.lang.OutOfMemoryError: Java heap space
at
org.apache.hadoop.io.WritableUtils.readCompressedStringArray(WritableUtils.java:183)
at
org.apache.hadoop.conf.Configuration.readFields(Configuration.java:2244)
at
org.apache.hadoop.io.ObjectWritable.readObject
:
java.lang.OutOfMemoryError: Java heap space
at
org.apache.hadoop.io.WritableUtils.readCompressedStringArray(WritableUtils.java:183)
at
org.apache.hadoop.conf.Configuration.readFields(Configuration.java:2244)
at org.apache.hadoop.io.ObjectWritable.readObject(ObjectWritable.java:280
Once you have generated the final RDD before submitting it to reducer try to
repartition the RDD either using coalesce(partitions) or repartition() into
known partitions. 2. Rule of thumb to create number of data partitions (3 *
num_executors * cores_per_executor).
--
View this message in
I am trying to process a file that contains 4 log lines (not very long) and
then write my parsed out case classes to a destination folder, and I get
the following error:
java.lang.OutOfMemoryError: Java heap space
at
org.apache.hadoop.io.WritableUtils.readCompressedStringArray
, Jun 18, 2014 at 5:17 PM, Shivani Rao raoshiv...@gmail.com wrote:
I am trying to process a file that contains 4 log lines (not very long)
and then write my parsed out case classes to a destination folder, and I
get the following error:
java.lang.OutOfMemoryError: Java heap space
: Uncaught exception in thread Result resolver
thread-2
java.lang.OutOfMemoryError: Java heap space
at java.nio.HeapByteBuffer.init(HeapByteBuffer.java:39)
at java.nio.ByteBuffer.allocate(ByteBuffer.java:312)
at org.apache.spark.storage.BlockMessage.set(BlockMessage.scala:94
400-500 mB of text, but I get this error whenever I try to collect:
java.lang.OutOfMemoryError: Java heap space
at java.nio.HeapByteBuffer.init(HeapByteBuffer.java:39)
at java.nio.ByteBuffer.allocate(ByteBuffer.java:312)
at org.apache.spark.storage.BlockMessage.set
Try repartitioning the RDD using coalsce(int partitions) before performing
any transforms.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-1-0-0-java-lang-outOfMemoryError-Java-Heap-Space-tp7735p7736.html
Sent from the Apache Spark User List mailing
51 matches
Mail list logo
