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Wed, 12 Apr 2017 09:10:41 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id A586724067 for ; Wed, 12 Apr 2017 09:10:41 +0000 (UTC) Date: Wed, 12 Apr 2017 09:10:41 +0000 (UTC) From: "Crabo Yang (JIRA)" To: issues@carbondata.incubator.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (CARBONDATA-906) Always OOM error when import large dataset (100milion rows) MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Wed, 12 Apr 2017 09:10:46 -0000 [ https://issues.apache.org/jira/browse/CARBONDATA-906?page=3Dcom.atlas= sian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=3D= 15965585#comment-15965585 ]=20 Crabo Yang commented on CARBONDATA-906: --------------------------------------- 1.oozie spark-opts --jars rds.importer-1.0-SNAPSHOT.jar,carbondata_2.10-1.0.0-incubating-shade= -hadoop2.6.0-cdh5.7.0.jar=20 --num-executors 12 --executor-cores 4 --executor-memory 13G --conf spark.yarn.executor.memoryOverhead=3D5120 --conf spark.executor.heartbeatInterval=3D10000000 --conf spark.network.timeout=3D10000000 2.create script=20 CREATE TABLE IF NOT EXISTS dmp_trade(id STRING,buyerNick STRING,buyerAlipay= NO STRING,clientType STRING,sellerNick STRING,receiverName STRING,receiverM= obile STRING,receiverPhone STRING,receiverCountry STRING,receiverState STRI= NG,receiverCity STRING,receiverDistrict STRING,receiverTown STRING,receiver= Address STRING,receiverZip STRING,status STRING,tradeFrom STRING,type STRIN= G,stepTradeStatus STRING,shippingType STRING,title STRING,buyerMessage STRI= NG,buyerMemo STRING,rxAuditStatus STRING,buyerEmail STRING,picPath STRING,s= hopPick STRING,creditCardFee STRING,markDesc STRING,sellerMemo STRING,invoi= ceName STRING,invoiceType STRING,tradeAttr STRING,esRange STRING,esDate STR= ING,osDate STRING,osRange STRING,o2oSnatchStatus STRING,market STRING,etTyp= e STRING,obs STRING,tradeOriginalJson STRING,point STRING,omniAttr STRING,o= mniParam STRING,identity STRING,omnichannelParam STRING,assembly STRING,tra= deId BIGINT,itemId BIGINT,platFormId INT,num INT,sellerFlag INT,naSource IN= T,etShopId INT,forbidConsign INT,buyerFlag INT,topHold INT,nvoiceKind INT,p= ayment STRING,price STRING,totalFee STRING,discountFee STRING,postFee STRIN= G,stepPaidFee STRING,adjustFee STRING,buyerCodFee STRING,orderTaxFee STRING= ,couponFee STRING,paidCouponFee STRING,sellerRate STRING,buyerRate STRING,p= ostGateDeclare STRING,crossBondedDeclare STRING,hasBuyerMessage STRING,hasP= ostFee STRING,isShShip STRING,created TIMESTAMP,payTime TIMESTAMP,modified = TIMESTAMP,endTime TIMESTAMP,consignTime TIMESTAMP,estConTime TIMESTAMP) STO= RED BY 'carbondata'; > Always OOM error when import large dataset (100milion rows) > ----------------------------------------------------------- > > Key: CARBONDATA-906 > URL: https://issues.apache.org/jira/browse/CARBONDATA-906 > Project: CarbonData > Issue Type: Bug > Components: data-load > Affects Versions: 1.0.0-incubating > Reporter: Crabo Yang > Attachments: carbon.properties > > > java.lang.OutOfMemoryError: GC overhead limit exceeded > =09at java.util.concurrent.ConcurrentHashMap$Segment.put(ConcurrentHashMa= p.java:457) > =09at java.util.concurrent.ConcurrentHashMap.put(ConcurrentHashMap.java:1= 130) > =09at org.apache.carbondata.core.cache.dictionary.ColumnReverseDictionary= Info.addDataToDictionaryMap(ColumnReverseDictionaryInfo.java:101) > =09at org.apache.carbondata.core.cache.dictionary.ColumnReverseDictionary= Info.addDictionaryChunk(ColumnReverseDictionaryInfo.java:88) > =09at org.apache.carbondata.core.cache.dictionary.DictionaryCacheLoaderIm= pl.fillDictionaryValuesAndAddToDictionaryChunks(DictionaryCacheLoaderImpl.j= ava:113) > =09at org.apache.carbondata.core.cache.dictionary.DictionaryCacheLoaderIm= pl.load(DictionaryCacheLoaderImpl.java:81) > =09at org.apache.carbondata.core.cache.dictionary.AbstractDictionaryCache= .loadDictionaryData(AbstractDictionaryCache.java:236) > =09at org.apache.carbondata.core.cache.dictionary.AbstractDictionaryCache= .checkAndLoadDictionaryData(AbstractDictionaryCache.java:186) > =09at org.apache.carbondata.core.cache.dictionary.ReverseDictionaryCache.= getDictionary(ReverseDictionaryCache.java:174) > =09at org.apache.carbondata.core.cache.dictionary.ReverseDictionaryCache.= get(ReverseDictionaryCache.java:67) > =09at org.apache.carbondata.core.cache.dictionary.ReverseDictionaryCache.= get(ReverseDictionaryCache.java:38) > =09at org.apache.carbondata.processing.newflow.converter.impl.DictionaryF= ieldConverterImpl.(DictionaryFieldConverterImpl.java:92) > =09at org.apache.carbondata.processing.newflow.converter.impl.FieldEncode= rFactory.createFieldEncoder(FieldEncoderFactory.java:77) > =09at org.apache.carbondata.processing.newflow.converter.impl.RowConverte= rImpl.initialize(RowConverterImpl.java:102) > =09at org.apache.carbondata.processing.newflow.steps.DataConverterProcess= orStepImpl.initialize(DataConverterProcessorStepImpl.java:69) > =09at org.apache.carbondata.processing.newflow.steps.SortProcessorStepImp= l.initialize(SortProcessorStepImpl.java:57) > =09at org.apache.carbondata.processing.newflow.steps.DataWriterProcessorS= tepImpl.initialize(DataWriterProcessorStepImpl.java:79) > =09at org.apache.carbondata.processing.newflow.DataLoadExecutor.execute(D= ataLoadExecutor.java:45) > =09at org.apache.carbondata.spark.rdd.NewDataFrameLoaderRDD$$anon$2.(NewCarbonDataLoadRDD.scala:425) > =09at org.apache.carbondata.spark.rdd.NewDataFrameLoaderRDD.compute(NewCa= rbonDataLoadRDD.scala:383) > =09at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > =09at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > =09at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > =09at org.apache.spark.scheduler.Task.run(Task.scala:89) > =09at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:21= 3) > =09at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecuto= r.java:1145) > =09at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecut= or.java:615) > =09at java.lang.Thread.run(Thread.java:745) -- This message was sent by Atlassian JIRA (v6.3.15#6346)