java.lang.OutOfMemoryError: Java heap space - Spark driver.

k.util.Utils - Suppressing exception 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.TorrentBroadc

Re: Spark Mlib - java.lang.OutOfMemoryError: Java heap space

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

Spark Mlib - 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

Spark Sql - "broadcast-exchange-1" java.lang.OutOfMemoryError: Java heap space

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) spark.conf().set("spark

Re: Exception in thread "dispatcher-event-loop-1" java.lang.OutOfMemoryError: Java heap space

am concerned that this will reduce concurrency Thanks Andy From: Ted Yu Date: Friday, July 22, 2016 at 2:54 PM To: Andrew Davidson Cc: "user @spark" Subject: Re: Exception in thread "dispatcher-event-loop-1" java.lang.OutOfMemoryError: Java heap space > How much

Re: Exception in thread "dispatcher-event-loop-1" java.lang.OutOfMemoryError: Java heap space

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 > > Exception in th

Exception in thread "dispatcher-event-loop-1" java.lang.OutOfMemoryError: Java heap space

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"

Re: Memory issue java.lang.OutOfMemoryError: Java heap space

> >>>>> Hi, >>>>> >>>>> I have a Java memory issue with Spark. The same application working on my >>>>> 8GB Mac crashes on my 72GB Ubuntu server... >>>>> >>>>> I have changed things in the conf file,

Re: Memory issue java.lang.OutOfMemoryError: Java heap space

gt;> 8GB Mac crashes on my 72GB 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: >>&g

Re: Memory issue java.lang.OutOfMemoryError: Java heap space

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 problem. >>> >>> The exception I get is: >>> >>> 16/07/13 20

Re: Memory issue java.lang.OutOfMemoryError: Java heap space

ich >> 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.HeapCharBuffer

Re: Memory issue java.lang.OutOfMemoryError: Java heap space

tion 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.nio.CharBuffer.allocate(CharBuffer.java:335) >

Memory issue java.lang.OutOfMemoryError: Java heap space

): 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) at

SparkDriver throwing java.lang.OutOfMemoryError: Java heap space

down 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.scal

Re: [Spark 1.5]: Exception in thread "broadcast-hash-join-2" java.lang.OutOfMemoryError: Java heap space -- Work in 1.4, but 1.5 doesn't

y the new >>> version of Spark. >>> >>> >>> >>> So I want to know any new setup I should set in Spark 1.5 to make it >>> work? >>> >>> >>> >>> Regards, >>> >>> >>> >>> S

Re: [Spark 1.5]: Exception in thread "broadcast-hash-join-2" java.lang.OutOfMemoryError: Java heap space -- Work in 1.4, but 1.5 doesn't

gt;> *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 space >> >> >> &

RE: [Spark 1.5]: Exception in thread "broadcast-hash-join-2" java.lang.OutOfMemoryError: Java heap space -- Work in 1.4, but 1.5 doesn't

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

[Spark 1.5]: Exception in thread "broadcast-hash-join-2" java.lang.OutOfMemoryError: Java heap space

;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

Re: spark-sql from CLI --->EXCEPTION: java.lang.OutOfMemoryError: Java heap space

une 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) in the CDH distribution (sta

Re: spark-sql from CLI --->EXCEPTION: java.lang.OutOfMemoryError: Java heap space

_demo_v3`.`gndr_cod`, >>>`aers_demo_v3`.`year`, >>>`aers_demo_v3`.`quarter` >>> FROM >>> `aers`.`aers_demo_v3` >>> UNION ALL >>> SELECT >>>`aers_demo_v4`.`isr`, >>>`aers_demo_v4`.`event_dt`, >>>

Re: spark-sql from CLI --->EXCEPTION: java.lang.OutOfMemoryError: Java heap space

t`, >`aers_demo_v5`.`age`, >`aers_demo_v5`.`age_cod`, >`aers_demo_v5`.`gndr_cod`, >`aers_demo_v5`.`year`, >`aers_demo_v5`.`quarter` > FROM > `aers`.`aers_demo_v5` > UNION ALL > SELECT >`aers_demo_v6`.`primaryid` AS `ISR`,

Re: spark-sql from CLI --->EXCEPTION: java.lang.OutOfMemoryError: Java heap space

:-) to my questions on all CDH groups, Spark, Hive best regards sanjay   From: Josh Rosen To: Sanjay Subramanian Cc: "user@spark.apache.org" Sent: Friday, June 12, 2015 7:15 AM Subject: Re: spark-sql from CLI --->EXCEPTION: java.lang.OutOfMemoryError: Java heap space

Re: spark-sql from CLI --->EXCEPTION: java.lang.OutOfMemoryError: Java heap space

` AS `ISR`, >`aers_demo_v6`.`event_dt`, >`aers_demo_v6`.`age`, >`aers_demo_v6`.`age_cod`, >`aers_demo_v6`.`sex` AS `GNDR_COD`, >`aers_demo_v6`.`year`, > `aers_demo_v6`.`quarter` > FROM > `aers`.`aers_demo_v6`) `aers_demo_view` > > > >

Re: spark-sql from CLI --->EXCEPTION: java.lang.OutOfMemoryError: Java heap space

ELECT >`aers_demo_v6`.`primaryid` AS `ISR`, >`aers_demo_v6`.`event_dt`, >`aers_demo_v6`.`age`, >`aers_demo_v6`.`age_cod`, >`aers_demo_v6`.`sex` AS `GNDR_COD`, >`aers_demo_v6`.`year`, > `aers_demo_v6`.`quarter` > FROM > `aers`.`aers_demo_v6`)

spark-sql from CLI --->EXCEPTION: java.lang.OutOfMemoryError: Java heap space

hrown by a user 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.(HeapChannelBuffer.java:4

Re: MLLib SVMWithSGD : java.lang.OutOfMemoryError: Java heap space

Try increasing your driver memory. Thanks Best Regards On Thu, Apr 16, 2015 at 6:09 PM, sarath 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

MLLib SVMWithSGD : java.lang.OutOfMemoryError: Java heap space

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

Re: MLLib /ALS : java.lang.OutOfMemoryError: Java heap space

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 problem

Re: MLLib /ALS : java.lang.OutOfMemoryError: Java heap space

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: conf.set("spark.shuffle.memoryFraction","0.

Re: MLLib /ALS : java.lang.OutOfMemoryError: Java heap space

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

Re: MLLib /ALS : java.lang.OutOfMemoryError: Java heap space

you can try to decrease the rank value. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLLib-ALS-java-lang-OutOfMemoryError-Java-heap-space-tp20584p20711.html Sent from the Apache Spark User List mailing list archive at Nabble.com.

Re: MLLib /ALS : java.lang.OutOfMemoryError: Java heap space

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. --

MLLib /ALS : java.lang.OutOfMemoryError: Java heap space

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 space at org.jblas.DoubleMatrix.(DoubleMatrix.java:323) at

java.lang.OutOfMemoryError: Java heap space during reduce operation

113:34602], 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.(HeapByteBuffer.java:5

Re: java.lang.OutOfMemoryError: Java heap space when running job via spark-submit

--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 >

Re: java.lang.OutOfMemoryError: Java heap space when running job via spark-submit

\ > --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 when running job via spark-submit

alue.jobs.MyJob \* * --master local[4] \* * --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.la

Why I get java.lang.OutOfMemoryError: Java heap space with join ?

(rectangle) 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 s

Re: java.lang.OutOfMemoryError: Java heap space

g 2 non-empty blocks out of 2 blocks >> 14/07/31 09:48:09 INFO BlockFetcherIterator$BasicBlockFetcherIterator: >> Getting 2 non-empty blocks out of 2 blocks >> 14/07/31 09:48:09 INFO BlockFetcherIterator$BasicBlockFetcherIterator: >> Started 0 remote fetch

Re: java.lang.OutOfMemoryError: Java heap space

t; 14/07/31 09:48:09 INFO BlockFetcherIterator$BasicBlockFetcherIterator: > Started 0 remote fetches in 1 ms > 14/07/31 09:48:17 ERROR Executor: Exception in task ID 5 > java.lang.OutOfMemoryError: Java heap space > at java.util.Arrays.copyOf(Arrays.java:2271) >

java.lang.OutOfMemoryError: Java heap space

at java.util.concurrent.ThreadPoolExecutor$Worker.run(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: J

RE: Help: WARN AbstractNioSelector: Unexpected exception in the selector loop. java.lang.OutOfMemoryError: Java heap space

loop. 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 accumulat

RE: Help: WARN AbstractNioSelector: Unexpected exception in the selector loop. java.lang.OutOfMemoryError: Java heap space

. -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

Help: WARN AbstractNioSelector: Unexpected exception in the selector loop. java.lang.OutOfMemoryError: Java heap space

. java.lang.OutOfMemoryError: Java heap space at org.jboss.netty.buffer.HeapChannelBuffer.(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 164,1

Re: Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

> If I switch to "local" mode, the code runs just fine, it fails with >>>>> the error I pasted above. In the cluster mode, even writing back the file >>>>> we just read fails >>>>> (rawLogs.saveAsTextFile("hdfs://>>>> > >

Re: Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

er mode, even writing back the file >>>> we just read fails >>>> (rawLogs.saveAsTextFile("hdfs://>>> > >>>> > I still believe this is a classNotFound error in disguise >>>> > >>>> >

Re: Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

in disguise >>> > >>> >>> Indeed you are right, this can be the reason. I had similar errors when >>> defining case classes in the shell and trying to use them in the RDDs. Are >>> you shading argonaut in the fat jar ? >>> &

Re: Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

ote: >> >> >> >> Wait, so the file only has four lines and the job running out of heap >> space? Can you share the code you're running that does the processing? >> I'd guess that you're doing some intense processing on every line but

Re: Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

gt; Wait, so the file only has four lines and the job running out of heap > space? Can you share the code you're running that does the processing? > I'd guess that you're doing some intense processing on every line but just > writing pars

Re: Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

riting parsed case classes back to disk sounds very lightweight. >> >> I >> >> >> On Wed, Jun 18, 2014 at 5:17 PM, Shivani Rao wrote: >>> >>> I am trying to process a file that contains 4 log lines (not very long) and then

Re: Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

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 conte

Re: Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

en 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(WritableUtils.java:183) >> &g

Re: Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

ht. I On Wed, Jun 18, 2014 at 5:17 PM, Shivani Rao 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.OutOfMe

Spark 0.9.1 java.lang.outOfMemoryError: Java Heap Space

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

Re: Spark 1.0.0 java.lang.outOfMemoryError: Java Heap Space

I got rid of most of my heap errors by increasing the number of partitions of my RDDs by 8-16x. I found in the tuning page that heap space errors can be caused by a hash table that's generated during the shuffle functions, so by splitting up how

Re: Spark 1.0.0 java.lang.outOfMemoryError: Java Heap Space

Am I trying to reduce it to the minimum number of partitions, or increase the number of partitions with that change? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-1-0-0-java-lang-outOfMemoryError-Java-Heap-Space-tp7735p7739.html Sent from the Apache

Re: Spark 1.0.0 java.lang.outOfMemoryError: Java Heap Space

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 li

Spark 1.0.0 java.lang.outOfMemoryError: Java Heap Space

o process about 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.(HeapByteBuffer.java:39) at java.nio.ByteBuffer.allocate(ByteBuffer.java:312) at org.apache.spark.storage.B

Spark 1.0.0 java.lang.outOfMemoryError: Java Heap Space

:36 ERROR Utils: Uncaught exception in thread Result resolver thread-2 java.lang.OutOfMemoryError: Java heap space at java.nio.HeapByteBuffer.(HeapByteBuffer.java:39) at java.nio.ByteBuffer.allocate(ByteBuffer.java:312) at org.apache.spark.storage.BlockMessage.set(BlockMessage.scala