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Bigdata, Semantic IoT, Hadoop, NoSQL

Bigdata, Hadoop ecosystem, Semantic IoT등의 프로젝트를 진행중에 습득한 내용을 정리하는 곳입니다.
필요한 분을 위해서 공개하고 있습니다. 문의사항은 gooper@gooper.com로 메일을 보내주세요.


StringBuffer의 값을 toString()을 이용하여 문자열로 변환할때 "java.lang.OutOfMemoryError: Java heap space"가 발생하는데 이것은 StringBuffer.toString()하는 과정에서 값을 복사하는데 이때 heap메모리가 부족해서 발생하는 오류이다.

이때는 spark-submit에서 --driver-memory 5g처럼 지정하는 메모리를 크게 증가시켜서 -Xmx값을 증가시켜준다.


------------------오류내용------------------------

[2018-02-01 10:12:40,253] [internal.Logging$class] [logError(#70)] [ERROR] Task 0 in stage 20.0 failed 1 times; aborting job
[2018-02-01 10:12:40,267] [internal.Logging$class] [logError(#91)] [ERROR] Error running job streaming job 1517447030000 ms.0
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 20.0 failed 1 times, most recent failure: Lost task 0.0 in stage 20.0 (TID 20, localhost, executor driver): java.lang.OutOfMemoryError: Java heap space
        at java.util.Arrays.copyOfRange(Arrays.java:3664)
        at java.lang.StringBuffer.toString(StringBuffer.java:671)
        at com.pineone.icbms.sda.sf.TripleService.sendTripleFileToHalyard(TripleService.java:500)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe.sendTriples(AvroOneM2MDataSparkSubscribe.java:296)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe.access$100(AvroOneM2MDataSparkSubscribe.java:34)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe$ConsumerT.go(AvroOneM2MDataSparkSubscribe.java:202)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe$1.call(AvroOneM2MDataSparkSubscribe.java:101)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe$1.call(AvroOneM2MDataSparkSubscribe.java:93)
        at org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1.apply(JavaPairRDD.scala:1040)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:393)
        at scala.collection.Iterator$class.foreach(Iterator.scala:893)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
        at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
        at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
        at scala.collection.AbstractIterator.to(Iterator.scala:1336)
        at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
        at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
        at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
        at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
        at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354)
        at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1951)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1951)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at scala.Option.foreach(Option.scala:257)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1925)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1938)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1951)
        at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1354)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
        at org.apache.spark.rdd.RDD.take(RDD.scala:1327)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$print$2$$anonfun$foreachFunc$3$1.apply(DStream.scala:734)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$print$2$$anonfun$foreachFunc$3$1.apply(DStream.scala:733)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:51)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
        at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:415)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:50)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
        at scala.util.Try$.apply(Try.scala:192)
        at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:256)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:256)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:256)
        at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:255)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.OutOfMemoryError: Java heap space
        at java.util.Arrays.copyOfRange(Arrays.java:3664)
        at java.lang.StringBuffer.toString(StringBuffer.java:671)
        at com.pineone.icbms.sda.sf.TripleService.sendTripleFileToHalyard(TripleService.java:500)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe.sendTriples(AvroOneM2MDataSparkSubscribe.java:296)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe.access$100(AvroOneM2MDataSparkSubscribe.java:34)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe$ConsumerT.go(AvroOneM2MDataSparkSubscribe.java:202)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe$1.call(AvroOneM2MDataSparkSubscribe.java:101)
        at com.pineone.icbms.sda.kafka.onem2m.AvroOneM2MDataSparkSubscribe$1.call(AvroOneM2MDataSparkSubscribe.java:93)
        at org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1.apply(JavaPairRDD.scala:1040)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:393)
        at scala.collection.Iterator$class.foreach(Iterator.scala:893)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
        at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
        at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
        at scala.collection.AbstractIterator.to(Iterator.scala:1336)
        at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
        at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
        at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
        at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
        at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354)
        at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1951)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1951)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
        ... 3 more

번호 제목 글쓴이 날짜 조회 수
41 Spark에서 Serializable관련 오류및 조치사항 총관리자 2017.04.21 4901
40 spark-sql실행시 Caused by: java.lang.NumberFormatException: For input string: "0s" 오류발생시 조치사항 총관리자 2016.06.09 2802
39 VisualVM 1.3.9을 이용한 spark-submit JVM 모니터링을 위한 설정및 spark-submit실행 옵션 총관리자 2016.10.28 1883
38 Spark 2.1.1 clustering(5대) 설치(YARN기반) 총관리자 2016.04.22 1880
37 spark stream처리할때 두개의 client프로그램이 동일한 checkpoint로 접근할때 발생하는 오류 내용 총관리자 2018.01.16 1113
36 "Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources"오류 발생시 조치사항 총관리자 2016.05.25 1025
35 kafka로 부터 메세지를 stream으로 받아 처리하는 spark샘플소스(spark의 producer와 consumer를 sbt로 컴파일 하고 서버에서 spark-submit하는 방법) 총관리자 2016.07.13 628
34 spark-env.sh에서 사용할 수있는 항목. 총관리자 2016.05.24 561
33 spark-shell실행시 "A read-only user or a user in a read-only database is not permitted to disable read-only mode on a connection."오류가 발생하는 경우 해결방법 총관리자 2016.05.20 551
32 spark client프로그램 기동시 "Error initializing SparkContext"오류 발생할때 조치사항 총관리자 2016.05.27 538
» spark-submit 실행시 "java.lang.OutOfMemoryError: Java heap space"발생시 조치사항 총관리자 2018.02.01 514
30 java.lang.OutOfMemoryError: unable to create new native thread오류 발생지 조치사항 총관리자 2016.10.17 464
29 Spark 1.6.1 설치후 HA구성 총관리자 2016.05.24 454
28 spark-sql실행시 The specified datastore driver ("com.mysql.jdbc.Driver") was not found in the CLASSPATH오류 발생시 조치사항 총관리자 2016.06.09 403
27 Apache Spark와 Drools를 이용한 CEP구현 테스트 총관리자 2016.07.15 342
26 spark-submit으로 spark application실행하는 다양한 방법 총관리자 2016.05.25 303
25 Spark에서 KafkaUtils.createStream()를 이용하여 이용하여 kafka topic에 접근하여 객채로 저장된 값을 가져오고 처리하는 예제 소스 총관리자 2017.04.26 291
24 Caused by: java.lang.ClassNotFoundException: org.apache.spark.Logging 발생시 조치사항 총관리자 2017.04.19 284
23 Windows7 64bit 환경에서 Apache Spark 2.2.0 설치하기 총관리자 2017.07.26 259
22 Scala에서 countByWindow를 이용하기(예제) 총관리자 2018.03.08 235

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