在spark streaming中实时更新mllib的ALS算法的模型遇到的问题!

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在spark streaming中使用ALS算法,实现模型的实时更新有人了解吗?

总是出ERROR [dag-scheduler-event-loop] scheduler.DAGSchedulerEventProcessLoop (Logging.scala:logError(96)) - DAGSchedulerEventProcessLoop failed; shutting down SparkContext
这个异常是什么意思?网上找了好久都没解决。。快疯了

大概就是上面几张图描述的那样子,求教育!

1个回答

问题已 解决。。。
allData 加上cache之后异常可以解决了,这是为什么呢?
其中又出现了一个错误:
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卡住n久之后,程序退出,hdfs和hbase的相关节点挂掉
一路查看了相应的日志一知半解可能是nn和jn之间的通信超时了
按照官网的文档 配置在hdfs-site.xml中加入

dfs.qjournal.write-txns.timeout.ms
600000000

再次测试,又抛新异常
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代码中allData.repartion(3).cache(只是抱着试一试的心态)
再次测试,运行过程中又出现了几次和zk连接中断之后自动重新连接
基本运行没问题了

虽然问题解决了,但是完全不知道是怎么个原理来解决的。。。
程序运行的时候总是会和zk通信中断之后在重新连接,虽然可以达到目的,但是重新连接过程要消耗很多时间,有什么好的解决方法吗

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scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:153) at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149) at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440) at java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189) at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289) at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056) at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692) at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:157) 那么这个错误怎么解决的呢,而且华为的安全组我没有权限修改,只能5000-5010的端口对外开方
spark 中rdd与dataframe的合并(join)
以下是我写的代码: ``` /* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ // scalastyle:off println package com.shine.ncc import org.apache.spark.SparkConf import org.apache.spark.storage.StorageLevel import org.apache.spark.streaming.{Seconds, StreamingContext} import org.apache.spark.mllib.classification.NaiveBayesModel import org.apache.spark.rdd.RDD import org.apache.spark.streaming.Time import org.apache.spark.sql.SQLContext import org.apache.spark.SparkContext import org.apache.spark.ml.feature.Tokenizer import org.ansj.splitWord.analysis.ToAnalysis import org.ansj.util.FilterModifWord import java.util.Arrays import org.apache.spark.mllib.feature.HashingTF import scala.collection.JavaConversions._ import org.apache.spark.mllib.feature.IDF import org.apache.spark.mllib.feature.IDFModel import org.apache.hadoop.hbase.HBaseConfiguration import org.apache.hadoop.hbase.client.HTable import org.apache.hadoop.hbase.client.Put import org.apache.hadoop.hbase.util.Bytes object NetworkNewsClassify1 { var sameModel = null /** Case class for converting RDD to DataFrame */ case class Record(content: String,time:String,title:String) /** Lazily instantiated singleton instance of SQLContext */ object SQLContextSingleton { @transient private var instance: SQLContext = _ def getInstance(sparkContext: SparkContext): SQLContext = { if (instance == null) { instance = new SQLContext(sparkContext) } instance } } def main(args: Array[String]) { // if (args.length < 2) { // System.err.println("Usage: NetworkWordCount <hostname> <port>") // System.exit(1) // } StreamingExamples.setStreamingLogLevels() // Create the context with a 1 second batch size val sparkConf = new SparkConf().setAppName("NetworkNewsClassify") sparkConf.setMaster("local[2]"); val ssc = new StreamingContext(sparkConf, Seconds(1)) // Create a socket stream on target ip:port and count the 获取json信息 val lines = ssc.socketTextStream("localhost", 9999, StorageLevel.MEMORY_AND_DISK_SER) val myNaiveBayesModel = NaiveBayesModel.load(ssc.sparkContext, "D:/myNaiveBayesModel") //将接送转换成rdd lines.foreachRDD((rdd: RDD[String], time: Time) => { // Get the singleton instance of SQLContext val sqlContext = SQLContextSingleton.getInstance(rdd.sparkContext) import sqlContext.implicits._ val newsDF = sqlContext.read.json(rdd) newsDF.count(); val featurizedData = newsDF.map{ line => val temp = ToAnalysis.parse(line.getAs("title")) //加入停用词 FilterModifWord.insertStopWords(Arrays.asList("r","n")) //加入停用词性???? FilterModifWord.insertStopNatures("w",null,"ns","r","u","e") val filter = FilterModifWord.modifResult(temp) //此步骤将会只取分词,不附带词性 val words = for(i<-Range(0,filter.size())) yield filter.get(i).getName //println(words.mkString(" ; ")); //计算每个词在文档中的词频 new HashingTF(500000).transform(words) }.cache() if(featurizedData.count()>0){ //计算每个词的TF-IDF val idf = new IDF() val idfModel = idf.fit(featurizedData) val tfidfData = idfModel.transform(featurizedData); //分类预测 val resultData = myNaiveBayesModel.predict(tfidfData) println(resultData) //将result结果与newsDF信息join在一起 //**??? 不会实现了。。。** //保存新闻到hbase中 } }) ssc.start() ssc.awaitTermination() } } ``` 其中newsDF是新闻信息,包含字段(title,body,date),resultData 是通过贝叶斯模型预测的新闻类型,我现在希望把result结果作为一个type字段与newsDF合并(join),保存到hbase中,这个合并的操作怎么做呢
六台机器集群,40M数据就报错,spark streaming运行例子程序wordcount
请大神帮忙解决一下:六台机器,SparkStreaming的例子程序,运行在yarn上四个计算节点(nodemanager),每台8G内存,i7处理器,想测测性能。 自己写了socket一直向一个端口发送数据,spark 接收并处理 运行十几分钟汇报错:WARN scheduler TaskSetManagerost task 0.1 in stage 265.0 :java.lang.Exception:Could not compute split ,block input-0-145887651600 not found![图片说明](https://img-ask.csdn.net/upload/201603/29/1459223107_940575.png)
spark 读取不到hive metastore 获取不到数据库
直接上异常 ``` Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/data01/hadoop/yarn/local/filecache/355/spark2-hdp-yarn-archive.tar.gz/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/usr/hdp/2.6.5.0-292/hadoop/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] 19/08/13 19:53:17 INFO SignalUtils: Registered signal handler for TERM 19/08/13 19:53:17 INFO SignalUtils: Registered signal handler for HUP 19/08/13 19:53:17 INFO SignalUtils: Registered signal handler for INT 19/08/13 19:53:17 INFO SecurityManager: Changing view acls to: yarn,hdfs 19/08/13 19:53:17 INFO SecurityManager: Changing modify acls to: yarn,hdfs 19/08/13 19:53:17 INFO SecurityManager: Changing view acls groups to: 19/08/13 19:53:17 INFO SecurityManager: Changing modify acls groups to: 19/08/13 19:53:17 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(yarn, hdfs); groups with view permissions: Set(); users with modify permissions: Set(yarn, hdfs); groups with modify permissions: Set() 19/08/13 19:53:18 INFO ApplicationMaster: Preparing Local resources 19/08/13 19:53:19 INFO ApplicationMaster: ApplicationAttemptId: appattempt_1565610088533_0087_000001 19/08/13 19:53:19 INFO ApplicationMaster: Starting the user application in a separate Thread 19/08/13 19:53:19 INFO ApplicationMaster: Waiting for spark context initialization... 19/08/13 19:53:19 INFO SparkContext: Running Spark version 2.3.0.2.6.5.0-292 19/08/13 19:53:19 INFO SparkContext: Submitted application: voice_stream 19/08/13 19:53:19 INFO SecurityManager: Changing view acls to: yarn,hdfs 19/08/13 19:53:19 INFO SecurityManager: Changing modify acls to: yarn,hdfs 19/08/13 19:53:19 INFO SecurityManager: Changing view acls groups to: 19/08/13 19:53:19 INFO SecurityManager: Changing modify acls groups to: 19/08/13 19:53:19 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(yarn, hdfs); groups with view permissions: Set(); users with modify permissions: Set(yarn, hdfs); groups with modify permissions: Set() 19/08/13 19:53:19 INFO Utils: Successfully started service 'sparkDriver' on port 20410. 19/08/13 19:53:19 INFO SparkEnv: Registering MapOutputTracker 19/08/13 19:53:19 INFO SparkEnv: Registering BlockManagerMaster 19/08/13 19:53:19 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information 19/08/13 19:53:19 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up 19/08/13 19:53:19 INFO DiskBlockManager: Created local directory at /data01/hadoop/yarn/local/usercache/hdfs/appcache/application_1565610088533_0087/blockmgr-94d35b97-43b2-496e-a4cb-73ecd3ed186c 19/08/13 19:53:19 INFO MemoryStore: MemoryStore started with capacity 366.3 MB 19/08/13 19:53:19 INFO SparkEnv: Registering OutputCommitCoordinator 19/08/13 19:53:19 INFO JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 19/08/13 19:53:19 INFO Utils: Successfully started service 'SparkUI' on port 28852. 19/08/13 19:53:19 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://datanode02:28852 19/08/13 19:53:19 INFO YarnClusterScheduler: Created YarnClusterScheduler 19/08/13 19:53:20 INFO SchedulerExtensionServices: Starting Yarn extension services with app application_1565610088533_0087 and attemptId Some(appattempt_1565610088533_0087_000001) 19/08/13 19:53:20 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 31984. 19/08/13 19:53:20 INFO NettyBlockTransferService: Server created on datanode02:31984 19/08/13 19:53:20 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy 19/08/13 19:53:20 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, datanode02, 31984, None) 19/08/13 19:53:20 INFO BlockManagerMasterEndpoint: Registering block manager datanode02:31984 with 366.3 MB RAM, BlockManagerId(driver, datanode02, 31984, None) 19/08/13 19:53:20 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, datanode02, 31984, None) 19/08/13 19:53:20 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, datanode02, 31984, None) 19/08/13 19:53:20 INFO EventLoggingListener: Logging events to hdfs:/spark2-history/application_1565610088533_0087_1 19/08/13 19:53:20 INFO ApplicationMaster: =============================================================================== YARN executor launch context: env: CLASSPATH -> {{PWD}}<CPS>{{PWD}}/__spark_conf__<CPS>{{PWD}}/__spark_libs__/*<CPS>/usr/hdp/2.6.5.0-292/hadoop/conf<CPS>/usr/hdp/2.6.5.0-292/hadoop/*<CPS>/usr/hdp/2.6.5.0-292/hadoop/lib/*<CPS>/usr/hdp/current/hadoop-hdfs-client/*<CPS>/usr/hdp/current/hadoop-hdfs-client/lib/*<CPS>/usr/hdp/current/hadoop-yarn-client/*<CPS>/usr/hdp/current/hadoop-yarn-client/lib/*<CPS>/usr/hdp/current/ext/hadoop/*<CPS>$PWD/mr-framework/hadoop/share/hadoop/mapreduce/*:$PWD/mr-framework/hadoop/share/hadoop/mapreduce/lib/*:$PWD/mr-framework/hadoop/share/hadoop/common/*:$PWD/mr-framework/hadoop/share/hadoop/common/lib/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/lib/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/lib/*:$PWD/mr-framework/hadoop/share/hadoop/tools/lib/*:/usr/hdp/2.6.5.0-292/hadoop/lib/hadoop-lzo-0.6.0.2.6.5.0-292.jar:/etc/hadoop/conf/secure:/usr/hdp/current/ext/hadoop/*<CPS>{{PWD}}/__spark_conf__/__hadoop_conf__ SPARK_YARN_STAGING_DIR -> *********(redacted) SPARK_USER -> *********(redacted) command: LD_LIBRARY_PATH="/usr/hdp/current/hadoop-client/lib/native:/usr/hdp/current/hadoop-client/lib/native/Linux-amd64-64:$LD_LIBRARY_PATH" \ {{JAVA_HOME}}/bin/java \ -server \ -Xmx5120m \ -Djava.io.tmpdir={{PWD}}/tmp \ '-Dspark.history.ui.port=18081' \ '-Dspark.rpc.message.maxSize=100' \ -Dspark.yarn.app.container.log.dir=<LOG_DIR> \ -XX:OnOutOfMemoryError='kill %p' \ org.apache.spark.executor.CoarseGrainedExecutorBackend \ --driver-url \ spark://CoarseGrainedScheduler@datanode02:20410 \ --executor-id \ <executorId> \ --hostname \ <hostname> \ --cores \ 2 \ --app-id \ application_1565610088533_0087 \ --user-class-path \ file:$PWD/__app__.jar \ --user-class-path \ file:$PWD/hadoop-common-2.7.3.jar \ --user-class-path \ file:$PWD/guava-12.0.1.jar \ --user-class-path \ file:$PWD/hbase-server-1.2.8.jar \ --user-class-path \ file:$PWD/hbase-protocol-1.2.8.jar \ --user-class-path \ file:$PWD/hbase-client-1.2.8.jar \ --user-class-path \ file:$PWD/hbase-common-1.2.8.jar \ --user-class-path \ file:$PWD/mysql-connector-java-5.1.44-bin.jar \ --user-class-path \ file:$PWD/spark-streaming-kafka-0-8-assembly_2.11-2.3.2.jar \ --user-class-path \ file:$PWD/spark-examples_2.11-1.6.0-typesafe-001.jar \ --user-class-path \ file:$PWD/fastjson-1.2.7.jar \ 1><LOG_DIR>/stdout \ 2><LOG_DIR>/stderr resources: spark-streaming-kafka-0-8-assembly_2.11-2.3.2.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/spark-streaming-kafka-0-8-assembly_2.11-2.3.2.jar" } size: 12271027 timestamp: 1565697198603 type: FILE visibility: PRIVATE spark-examples_2.11-1.6.0-typesafe-001.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/spark-examples_2.11-1.6.0-typesafe-001.jar" } size: 1867746 timestamp: 1565697198751 type: FILE visibility: PRIVATE hbase-server-1.2.8.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/hbase-server-1.2.8.jar" } size: 4197896 timestamp: 1565697197770 type: FILE visibility: PRIVATE hbase-common-1.2.8.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/hbase-common-1.2.8.jar" } size: 570163 timestamp: 1565697198318 type: FILE visibility: PRIVATE __app__.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/spark_history_data2.jar" } size: 44924 timestamp: 1565697197260 type: FILE visibility: PRIVATE guava-12.0.1.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/guava-12.0.1.jar" } size: 1795932 timestamp: 1565697197614 type: FILE visibility: PRIVATE hbase-client-1.2.8.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/hbase-client-1.2.8.jar" } size: 1306401 timestamp: 1565697198180 type: FILE visibility: PRIVATE __spark_conf__ -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/__spark_conf__.zip" } size: 273513 timestamp: 1565697199131 type: ARCHIVE visibility: PRIVATE fastjson-1.2.7.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/fastjson-1.2.7.jar" } size: 417221 timestamp: 1565697198865 type: FILE visibility: PRIVATE hbase-protocol-1.2.8.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/hbase-protocol-1.2.8.jar" } size: 4366252 timestamp: 1565697198023 type: FILE visibility: PRIVATE __spark_libs__ -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/hdp/apps/2.6.5.0-292/spark2/spark2-hdp-yarn-archive.tar.gz" } size: 227600110 timestamp: 1549953820247 type: ARCHIVE visibility: PUBLIC mysql-connector-java-5.1.44-bin.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/mysql-connector-java-5.1.44-bin.jar" } size: 999635 timestamp: 1565697198445 type: FILE visibility: PRIVATE hadoop-common-2.7.3.jar -> resource { scheme: "hdfs" host: "CID-042fb939-95b4-4b74-91b8-9f94b999bdf7" port: -1 file: "/user/hdfs/.sparkStaging/application_1565610088533_0087/hadoop-common-2.7.3.jar" } size: 3479293 timestamp: 1565697197476 type: FILE visibility: PRIVATE =============================================================================== 19/08/13 19:53:20 INFO RMProxy: Connecting to ResourceManager at namenode02/10.1.38.38:8030 19/08/13 19:53:20 INFO YarnRMClient: Registering the ApplicationMaster 19/08/13 19:53:20 INFO YarnAllocator: Will request 3 executor container(s), each with 2 core(s) and 5632 MB memory (including 512 MB of overhead) 19/08/13 19:53:20 INFO YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(spark://YarnAM@datanode02:20410) 19/08/13 19:53:20 INFO YarnAllocator: Submitted 3 unlocalized container requests. 19/08/13 19:53:20 INFO ApplicationMaster: Started progress reporter thread with (heartbeat : 3000, initial allocation : 200) intervals 19/08/13 19:53:20 INFO AMRMClientImpl: Received new token for : datanode03:45454 19/08/13 19:53:21 INFO YarnAllocator: Launching container container_e20_1565610088533_0087_01_000002 on host datanode03 for executor with ID 1 19/08/13 19:53:21 INFO YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them. 19/08/13 19:53:21 INFO ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0 19/08/13 19:53:21 INFO ContainerManagementProtocolProxy: Opening proxy : datanode03:45454 19/08/13 19:53:21 INFO AMRMClientImpl: Received new token for : datanode01:45454 19/08/13 19:53:21 INFO YarnAllocator: Launching container container_e20_1565610088533_0087_01_000003 on host datanode01 for executor with ID 2 19/08/13 19:53:21 INFO YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them. 19/08/13 19:53:21 INFO ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0 19/08/13 19:53:21 INFO ContainerManagementProtocolProxy: Opening proxy : datanode01:45454 19/08/13 19:53:22 INFO AMRMClientImpl: Received new token for : datanode02:45454 19/08/13 19:53:22 INFO YarnAllocator: Launching container container_e20_1565610088533_0087_01_000004 on host datanode02 for executor with ID 3 19/08/13 19:53:22 INFO YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them. 19/08/13 19:53:22 INFO ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0 19/08/13 19:53:22 INFO ContainerManagementProtocolProxy: Opening proxy : datanode02:45454 19/08/13 19:53:24 INFO YarnSchedulerBackend$YarnDriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (10.1.198.144:41122) with ID 1 19/08/13 19:53:25 INFO YarnSchedulerBackend$YarnDriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (10.1.229.163:24656) with ID 3 19/08/13 19:53:25 INFO BlockManagerMasterEndpoint: Registering block manager datanode03:3328 with 2.5 GB RAM, BlockManagerId(1, datanode03, 3328, None) 19/08/13 19:53:25 INFO BlockManagerMasterEndpoint: Registering block manager datanode02:28863 with 2.5 GB RAM, BlockManagerId(3, datanode02, 28863, None) 19/08/13 19:53:25 INFO YarnSchedulerBackend$YarnDriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (10.1.229.158:64276) with ID 2 19/08/13 19:53:25 INFO YarnClusterSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.8 19/08/13 19:53:25 INFO YarnClusterScheduler: YarnClusterScheduler.postStartHook done 19/08/13 19:53:25 INFO BlockManagerMasterEndpoint: Registering block manager datanode01:20487 with 2.5 GB RAM, BlockManagerId(2, datanode01, 20487, None) 19/08/13 19:53:25 WARN SparkContext: Using an existing SparkContext; some configuration may not take effect. 19/08/13 19:53:25 INFO SparkContext: Starting job: start at VoiceApplication2.java:128 19/08/13 19:53:25 INFO DAGScheduler: Registering RDD 1 (start at VoiceApplication2.java:128) 19/08/13 19:53:25 INFO DAGScheduler: Got job 0 (start at VoiceApplication2.java:128) with 20 output partitions 19/08/13 19:53:25 INFO DAGScheduler: Final stage: ResultStage 1 (start at VoiceApplication2.java:128) 19/08/13 19:53:25 INFO DAGScheduler: Parents of final stage: List(ShuffleMapStage 0) 19/08/13 19:53:25 INFO DAGScheduler: Missing parents: List(ShuffleMapStage 0) 19/08/13 19:53:26 INFO DAGScheduler: Submitting ShuffleMapStage 0 (MapPartitionsRDD[1] at start at VoiceApplication2.java:128), which has no missing parents 19/08/13 19:53:26 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 3.1 KB, free 366.3 MB) 19/08/13 19:53:26 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 2011.0 B, free 366.3 MB) 19/08/13 19:53:26 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on datanode02:31984 (size: 2011.0 B, free: 366.3 MB) 19/08/13 19:53:26 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1039 19/08/13 19:53:26 INFO DAGScheduler: Submitting 50 missing tasks from ShuffleMapStage 0 (MapPartitionsRDD[1] at start at VoiceApplication2.java:128) (first 15 tasks are for partitions Vector(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)) 19/08/13 19:53:26 INFO YarnClusterScheduler: Adding task set 0.0 with 50 tasks 19/08/13 19:53:26 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, datanode02, executor 3, partition 0, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, datanode03, executor 1, partition 1, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 2.0 in stage 0.0 (TID 2, datanode01, executor 2, partition 2, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 3.0 in stage 0.0 (TID 3, datanode02, executor 3, partition 3, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 4.0 in stage 0.0 (TID 4, datanode03, executor 1, partition 4, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 5.0 in stage 0.0 (TID 5, datanode01, executor 2, partition 5, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on datanode02:28863 (size: 2011.0 B, free: 2.5 GB) 19/08/13 19:53:26 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on datanode03:3328 (size: 2011.0 B, free: 2.5 GB) 19/08/13 19:53:26 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on datanode01:20487 (size: 2011.0 B, free: 2.5 GB) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 6.0 in stage 0.0 (TID 6, datanode02, executor 3, partition 6, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 7.0 in stage 0.0 (TID 7, datanode02, executor 3, partition 7, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 3.0 in stage 0.0 (TID 3) in 693 ms on datanode02 (executor 3) (1/50) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 712 ms on datanode02 (executor 3) (2/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 8.0 in stage 0.0 (TID 8, datanode02, executor 3, partition 8, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 7.0 in stage 0.0 (TID 7) in 21 ms on datanode02 (executor 3) (3/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 9.0 in stage 0.0 (TID 9, datanode02, executor 3, partition 9, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 6.0 in stage 0.0 (TID 6) in 26 ms on datanode02 (executor 3) (4/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 10.0 in stage 0.0 (TID 10, datanode02, executor 3, partition 10, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 8.0 in stage 0.0 (TID 8) in 23 ms on datanode02 (executor 3) (5/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 11.0 in stage 0.0 (TID 11, datanode02, executor 3, partition 11, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 9.0 in stage 0.0 (TID 9) in 25 ms on datanode02 (executor 3) (6/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 12.0 in stage 0.0 (TID 12, datanode02, executor 3, partition 12, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 10.0 in stage 0.0 (TID 10) in 18 ms on datanode02 (executor 3) (7/50) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 11.0 in stage 0.0 (TID 11) in 14 ms on datanode02 (executor 3) (8/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 13.0 in stage 0.0 (TID 13, datanode02, executor 3, partition 13, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 14.0 in stage 0.0 (TID 14, datanode02, executor 3, partition 14, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 12.0 in stage 0.0 (TID 12) in 16 ms on datanode02 (executor 3) (9/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 15.0 in stage 0.0 (TID 15, datanode02, executor 3, partition 15, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 13.0 in stage 0.0 (TID 13) in 22 ms on datanode02 (executor 3) (10/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 16.0 in stage 0.0 (TID 16, datanode02, executor 3, partition 16, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 14.0 in stage 0.0 (TID 14) in 16 ms on datanode02 (executor 3) (11/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 17.0 in stage 0.0 (TID 17, datanode02, executor 3, partition 17, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 15.0 in stage 0.0 (TID 15) in 13 ms on datanode02 (executor 3) (12/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 18.0 in stage 0.0 (TID 18, datanode01, executor 2, partition 18, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 19.0 in stage 0.0 (TID 19, datanode01, executor 2, partition 19, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 5.0 in stage 0.0 (TID 5) in 787 ms on datanode01 (executor 2) (13/50) 19/08/13 19:53:26 INFO TaskSetManager: Finished task 2.0 in stage 0.0 (TID 2) in 789 ms on datanode01 (executor 2) (14/50) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 20.0 in stage 0.0 (TID 20, datanode03, executor 1, partition 20, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:26 INFO TaskSetManager: Starting task 21.0 in stage 0.0 (TID 21, datanode03, executor 1, partition 21, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 4.0 in stage 0.0 (TID 4) in 905 ms on datanode03 (executor 1) (15/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 907 ms on datanode03 (executor 1) (16/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 22.0 in stage 0.0 (TID 22, datanode02, executor 3, partition 22, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 23.0 in stage 0.0 (TID 23, datanode02, executor 3, partition 23, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 24.0 in stage 0.0 (TID 24, datanode01, executor 2, partition 24, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 18.0 in stage 0.0 (TID 18) in 124 ms on datanode01 (executor 2) (17/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 16.0 in stage 0.0 (TID 16) in 134 ms on datanode02 (executor 3) (18/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 25.0 in stage 0.0 (TID 25, datanode01, executor 2, partition 25, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 26.0 in stage 0.0 (TID 26, datanode03, executor 1, partition 26, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 17.0 in stage 0.0 (TID 17) in 134 ms on datanode02 (executor 3) (19/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 20.0 in stage 0.0 (TID 20) in 122 ms on datanode03 (executor 1) (20/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 27.0 in stage 0.0 (TID 27, datanode03, executor 1, partition 27, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 19.0 in stage 0.0 (TID 19) in 127 ms on datanode01 (executor 2) (21/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 21.0 in stage 0.0 (TID 21) in 123 ms on datanode03 (executor 1) (22/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 28.0 in stage 0.0 (TID 28, datanode02, executor 3, partition 28, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 29.0 in stage 0.0 (TID 29, datanode02, executor 3, partition 29, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 22.0 in stage 0.0 (TID 22) in 19 ms on datanode02 (executor 3) (23/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 23.0 in stage 0.0 (TID 23) in 18 ms on datanode02 (executor 3) (24/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 30.0 in stage 0.0 (TID 30, datanode01, executor 2, partition 30, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 31.0 in stage 0.0 (TID 31, datanode01, executor 2, partition 31, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 25.0 in stage 0.0 (TID 25) in 27 ms on datanode01 (executor 2) (25/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 24.0 in stage 0.0 (TID 24) in 29 ms on datanode01 (executor 2) (26/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 32.0 in stage 0.0 (TID 32, datanode02, executor 3, partition 32, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 29.0 in stage 0.0 (TID 29) in 16 ms on datanode02 (executor 3) (27/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 33.0 in stage 0.0 (TID 33, datanode03, executor 1, partition 33, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 26.0 in stage 0.0 (TID 26) in 30 ms on datanode03 (executor 1) (28/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 34.0 in stage 0.0 (TID 34, datanode02, executor 3, partition 34, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 28.0 in stage 0.0 (TID 28) in 21 ms on datanode02 (executor 3) (29/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 35.0 in stage 0.0 (TID 35, datanode03, executor 1, partition 35, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 27.0 in stage 0.0 (TID 27) in 32 ms on datanode03 (executor 1) (30/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 36.0 in stage 0.0 (TID 36, datanode02, executor 3, partition 36, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 32.0 in stage 0.0 (TID 32) in 11 ms on datanode02 (executor 3) (31/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 37.0 in stage 0.0 (TID 37, datanode01, executor 2, partition 37, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 30.0 in stage 0.0 (TID 30) in 18 ms on datanode01 (executor 2) (32/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 38.0 in stage 0.0 (TID 38, datanode01, executor 2, partition 38, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 31.0 in stage 0.0 (TID 31) in 20 ms on datanode01 (executor 2) (33/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 39.0 in stage 0.0 (TID 39, datanode03, executor 1, partition 39, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 33.0 in stage 0.0 (TID 33) in 17 ms on datanode03 (executor 1) (34/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 34.0 in stage 0.0 (TID 34) in 17 ms on datanode02 (executor 3) (35/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 40.0 in stage 0.0 (TID 40, datanode02, executor 3, partition 40, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 41.0 in stage 0.0 (TID 41, datanode03, executor 1, partition 41, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 35.0 in stage 0.0 (TID 35) in 17 ms on datanode03 (executor 1) (36/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 42.0 in stage 0.0 (TID 42, datanode02, executor 3, partition 42, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 36.0 in stage 0.0 (TID 36) in 16 ms on datanode02 (executor 3) (37/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 43.0 in stage 0.0 (TID 43, datanode01, executor 2, partition 43, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 37.0 in stage 0.0 (TID 37) in 16 ms on datanode01 (executor 2) (38/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 44.0 in stage 0.0 (TID 44, datanode02, executor 3, partition 44, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 45.0 in stage 0.0 (TID 45, datanode02, executor 3, partition 45, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 40.0 in stage 0.0 (TID 40) in 14 ms on datanode02 (executor 3) (39/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 42.0 in stage 0.0 (TID 42) in 11 ms on datanode02 (executor 3) (40/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 46.0 in stage 0.0 (TID 46, datanode03, executor 1, partition 46, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 39.0 in stage 0.0 (TID 39) in 20 ms on datanode03 (executor 1) (41/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 47.0 in stage 0.0 (TID 47, datanode03, executor 1, partition 47, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 41.0 in stage 0.0 (TID 41) in 20 ms on datanode03 (executor 1) (42/50) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 48.0 in stage 0.0 (TID 48, datanode01, executor 2, partition 48, PROCESS_LOCAL, 7831 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 49.0 in stage 0.0 (TID 49, datanode01, executor 2, partition 49, PROCESS_LOCAL, 7888 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 43.0 in stage 0.0 (TID 43) in 18 ms on datanode01 (executor 2) (43/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 38.0 in stage 0.0 (TID 38) in 31 ms on datanode01 (executor 2) (44/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 45.0 in stage 0.0 (TID 45) in 11 ms on datanode02 (executor 3) (45/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 44.0 in stage 0.0 (TID 44) in 16 ms on datanode02 (executor 3) (46/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 46.0 in stage 0.0 (TID 46) in 18 ms on datanode03 (executor 1) (47/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 48.0 in stage 0.0 (TID 48) in 15 ms on datanode01 (executor 2) (48/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 47.0 in stage 0.0 (TID 47) in 15 ms on datanode03 (executor 1) (49/50) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 49.0 in stage 0.0 (TID 49) in 25 ms on datanode01 (executor 2) (50/50) 19/08/13 19:53:27 INFO YarnClusterScheduler: Removed TaskSet 0.0, whose tasks have all completed, from pool 19/08/13 19:53:27 INFO DAGScheduler: ShuffleMapStage 0 (start at VoiceApplication2.java:128) finished in 1.174 s 19/08/13 19:53:27 INFO DAGScheduler: looking for newly runnable stages 19/08/13 19:53:27 INFO DAGScheduler: running: Set() 19/08/13 19:53:27 INFO DAGScheduler: waiting: Set(ResultStage 1) 19/08/13 19:53:27 INFO DAGScheduler: failed: Set() 19/08/13 19:53:27 INFO DAGScheduler: Submitting ResultStage 1 (ShuffledRDD[2] at start at VoiceApplication2.java:128), which has no missing parents 19/08/13 19:53:27 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 3.2 KB, free 366.3 MB) 19/08/13 19:53:27 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 1979.0 B, free 366.3 MB) 19/08/13 19:53:27 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on datanode02:31984 (size: 1979.0 B, free: 366.3 MB) 19/08/13 19:53:27 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1039 19/08/13 19:53:27 INFO DAGScheduler: Submitting 20 missing tasks from ResultStage 1 (ShuffledRDD[2] at start at VoiceApplication2.java:128) (first 15 tasks are for partitions Vector(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)) 19/08/13 19:53:27 INFO YarnClusterScheduler: Adding task set 1.0 with 20 tasks 19/08/13 19:53:27 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 50, datanode03, executor 1, partition 0, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 1.0 in stage 1.0 (TID 51, datanode02, executor 3, partition 1, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 3.0 in stage 1.0 (TID 52, datanode01, executor 2, partition 3, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 2.0 in stage 1.0 (TID 53, datanode03, executor 1, partition 2, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 4.0 in stage 1.0 (TID 54, datanode02, executor 3, partition 4, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 5.0 in stage 1.0 (TID 55, datanode01, executor 2, partition 5, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on datanode02:28863 (size: 1979.0 B, free: 2.5 GB) 19/08/13 19:53:27 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on datanode01:20487 (size: 1979.0 B, free: 2.5 GB) 19/08/13 19:53:27 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on datanode03:3328 (size: 1979.0 B, free: 2.5 GB) 19/08/13 19:53:27 INFO MapOutputTrackerMasterEndpoint: Asked to send map output locations for shuffle 0 to 10.1.229.163:24656 19/08/13 19:53:27 INFO MapOutputTrackerMasterEndpoint: Asked to send map output locations for shuffle 0 to 10.1.198.144:41122 19/08/13 19:53:27 INFO MapOutputTrackerMasterEndpoint: Asked to send map output locations for shuffle 0 to 10.1.229.158:64276 19/08/13 19:53:27 INFO TaskSetManager: Starting task 7.0 in stage 1.0 (TID 56, datanode03, executor 1, partition 7, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 2.0 in stage 1.0 (TID 53) in 192 ms on datanode03 (executor 1) (1/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 8.0 in stage 1.0 (TID 57, datanode03, executor 1, partition 8, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 7.0 in stage 1.0 (TID 56) in 25 ms on datanode03 (executor 1) (2/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 6.0 in stage 1.0 (TID 58, datanode02, executor 3, partition 6, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 1.0 in stage 1.0 (TID 51) in 220 ms on datanode02 (executor 3) (3/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 14.0 in stage 1.0 (TID 59, datanode03, executor 1, partition 14, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 8.0 in stage 1.0 (TID 57) in 17 ms on datanode03 (executor 1) (4/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 16.0 in stage 1.0 (TID 60, datanode03, executor 1, partition 16, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 14.0 in stage 1.0 (TID 59) in 15 ms on datanode03 (executor 1) (5/20) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 16.0 in stage 1.0 (TID 60) in 21 ms on datanode03 (executor 1) (6/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 9.0 in stage 1.0 (TID 61, datanode02, executor 3, partition 9, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 4.0 in stage 1.0 (TID 54) in 269 ms on datanode02 (executor 3) (7/20) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 50) in 339 ms on datanode03 (executor 1) (8/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 10.0 in stage 1.0 (TID 62, datanode02, executor 3, partition 10, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 6.0 in stage 1.0 (TID 58) in 56 ms on datanode02 (executor 3) (9/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 11.0 in stage 1.0 (TID 63, datanode01, executor 2, partition 11, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 5.0 in stage 1.0 (TID 55) in 284 ms on datanode01 (executor 2) (10/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 12.0 in stage 1.0 (TID 64, datanode01, executor 2, partition 12, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 3.0 in stage 1.0 (TID 52) in 287 ms on datanode01 (executor 2) (11/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 13.0 in stage 1.0 (TID 65, datanode02, executor 3, partition 13, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 15.0 in stage 1.0 (TID 66, datanode02, executor 3, partition 15, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 10.0 in stage 1.0 (TID 62) in 25 ms on datanode02 (executor 3) (12/20) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 9.0 in stage 1.0 (TID 61) in 29 ms on datanode02 (executor 3) (13/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 17.0 in stage 1.0 (TID 67, datanode02, executor 3, partition 17, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 15.0 in stage 1.0 (TID 66) in 13 ms on datanode02 (executor 3) (14/20) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 13.0 in stage 1.0 (TID 65) in 16 ms on datanode02 (executor 3) (15/20) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 18.0 in stage 1.0 (TID 68, datanode02, executor 3, partition 18, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Starting task 19.0 in stage 1.0 (TID 69, datanode01, executor 2, partition 19, NODE_LOCAL, 7638 bytes) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 11.0 in stage 1.0 (TID 63) in 30 ms on datanode01 (executor 2) (16/20) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 12.0 in stage 1.0 (TID 64) in 30 ms on datanode01 (executor 2) (17/20) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 17.0 in stage 1.0 (TID 67) in 17 ms on datanode02 (executor 3) (18/20) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 19.0 in stage 1.0 (TID 69) in 13 ms on datanode01 (executor 2) (19/20) 19/08/13 19:53:27 INFO TaskSetManager: Finished task 18.0 in stage 1.0 (TID 68) in 20 ms on datanode02 (executor 3) (20/20) 19/08/13 19:53:27 INFO YarnClusterScheduler: Removed TaskSet 1.0, whose tasks have all completed, from pool 19/08/13 19:53:27 INFO DAGScheduler: ResultStage 1 (start at VoiceApplication2.java:128) finished in 0.406 s 19/08/13 19:53:27 INFO DAGScheduler: Job 0 finished: start at VoiceApplication2.java:128, took 1.850883 s 19/08/13 19:53:27 INFO ReceiverTracker: Starting 1 receivers 19/08/13 19:53:27 INFO ReceiverTracker: ReceiverTracker started 19/08/13 19:53:27 INFO KafkaInputDStream: Slide time = 60000 ms 19/08/13 19:53:27 INFO KafkaInputDStream: Storage level = Serialized 1x Replicated 19/08/13 19:53:27 INFO KafkaInputDStream: Checkpoint interval = null 19/08/13 19:53:27 INFO KafkaInputDStream: Remember interval = 60000 ms 19/08/13 19:53:27 INFO KafkaInputDStream: Initialized and validated org.apache.spark.streaming.kafka.KafkaInputDStream@5fd3dc81 19/08/13 19:53:27 INFO ForEachDStream: Slide time = 60000 ms 19/08/13 19:53:27 INFO ForEachDStream: Storage level = Serialized 1x Replicated 19/08/13 19:53:27 INFO ForEachDStream: Checkpoint interval = null 19/08/13 19:53:27 INFO ForEachDStream: Remember interval = 60000 ms 19/08/13 19:53:27 INFO ForEachDStream: Initialized and validated org.apache.spark.streaming.dstream.ForEachDStream@4044ec97 19/08/13 19:53:27 INFO KafkaInputDStream: Slide time = 60000 ms 19/08/13 19:53:27 INFO KafkaInputDStream: Storage level = Serialized 1x Replicated 19/08/13 19:53:27 INFO KafkaInputDStream: Checkpoint interval = null 19/08/13 19:53:27 INFO KafkaInputDStream: Remember interval = 60000 ms 19/08/13 19:53:27 INFO KafkaInputDStream: Initialized and validated org.apache.spark.streaming.kafka.KafkaInputDStream@5fd3dc81 19/08/13 19:53:27 INFO MappedDStream: Slide time = 60000 ms 19/08/13 19:53:27 INFO MappedDStream: Storage level = Serialized 1x Replicated 19/08/13 19:53:27 INFO MappedDStream: Checkpoint interval = null 19/08/13 19:53:27 INFO MappedDStream: Remember interval = 60000 ms 19/08/13 19:53:27 INFO MappedDStream: Initialized and validated org.apache.spark.streaming.dstream.MappedDStream@5dd4b960 19/08/13 19:53:27 INFO ForEachDStream: Slide time = 60000 ms 19/08/13 19:53:27 INFO ForEachDStream: Storage level = Serialized 1x Replicated 19/08/13 19:53:27 INFO ForEachDStream: Checkpoint interval = null 19/08/13 19:53:27 INFO ForEachDStream: Remember interval = 60000 ms 19/08/13 19:53:27 INFO ForEachDStream: Initialized and validated org.apache.spark.streaming.dstream.ForEachDStream@132d0c3c 19/08/13 19:53:27 INFO KafkaInputDStream: Slide time = 60000 ms 19/08/13 19:53:27 INFO KafkaInputDStream: Storage level = Serialized 1x Replicated 19/08/13 19:53:27 INFO KafkaInputDStream: Checkpoint interval = null 19/08/13 19:53:27 INFO KafkaInputDStream: Remember interval = 60000 ms 19/08/13 19:53:27 INFO KafkaInputDStream: Initialized and validated org.apache.spark.streaming.kafka.KafkaInputDStream@5fd3dc81 19/08/13 19:53:27 INFO MappedDStream: Slide time = 60000 ms 19/08/13 19:53:27 INFO MappedDStream: Storage level = Serialized 1x Replicated 19/08/13 19:53:27 INFO MappedDStream: Checkpoint interval = null 19/08/13 19:53:27 INFO MappedDStream: Remember interval = 60000 ms 19/08/13 19:53:27 INFO MappedDStream: Initialized and validated org.apache.spark.streaming.dstream.MappedDStream@5dd4b960 19/08/13 19:53:27 INFO ForEachDStream: Slide time = 60000 ms 19/08/13 19:53:27 INFO ForEachDStream: Storage level = Serialized 1x Replicated 19/08/13 19:53:27 INFO ForEachDStream: Checkpoint interval = null 19/08/13 19:53:27 INFO ForEachDStream: Remember interval = 60000 ms 19/08/13 19:53:27 INFO ForEachDStream: Initialized and validated org.apache.spark.streaming.dstream.ForEachDStream@525bed0c 19/08/13 19:53:27 INFO DAGScheduler: Got job 1 (start at VoiceApplication2.java:128) with 1 output partitions 19/08/13 19:53:27 INFO DAGScheduler: Final stage: ResultStage 2 (start at VoiceApplication2.java:128) 19/08/13 19:53:27 INFO DAGScheduler: Parents of final stage: List() 19/08/13 19:53:27 INFO DAGScheduler: Missing parents: List() 19/08/13 19:53:27 INFO DAGScheduler: Submitting ResultStage 2 (Receiver 0 ParallelCollectionRDD[3] at makeRDD at ReceiverTracker.scala:613), which has no missing parents 19/08/13 19:53:27 INFO ReceiverTracker: Receiver 0 started 19/08/13 19:53:27 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 133.5 KB, free 366.2 MB) 19/08/13 19:53:27 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 36.3 KB, free 366.1 MB) 19/08/13 19:53:27 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on datanode02:31984 (size: 36.3 KB, free: 366.3 MB) 19/08/13 19:53:27 INFO SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:1039 19/08/13 19:53:27 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 2 (Receiver 0 ParallelCollectionRDD[3] at makeRDD at ReceiverTracker.scala:613) (first 15 tasks are for partitions Vector(0)) 19/08/13 19:53:27 INFO YarnClusterScheduler: Adding task set 2.0 with 1 tasks 19/08/13 19:53:27 INFO TaskSetManager: Starting task 0.0 in stage 2.0 (TID 70, datanode01, executor 2, partition 0, PROCESS_LOCAL, 8757 bytes) 19/08/13 19:53:27 INFO RecurringTimer: Started timer for JobGenerator at time 1565697240000 19/08/13 19:53:27 INFO JobGenerator: Started JobGenerator at 1565697240000 ms 19/08/13 19:53:27 INFO JobScheduler: Started JobScheduler 19/08/13 19:53:27 INFO StreamingContext: StreamingContext started 19/08/13 19:53:27 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on datanode01:20487 (size: 36.3 KB, free: 2.5 GB) 19/08/13 19:53:27 INFO ReceiverTracker: Registered receiver for stream 0 from 10.1.229.158:64276 19/08/13 19:54:00 INFO JobScheduler: Added jobs for time 1565697240000 ms 19/08/13 19:54:00 INFO JobScheduler: Starting job streaming job 1565697240000 ms.0 from job set of time 1565697240000 ms 19/08/13 19:54:00 INFO JobScheduler: Starting job streaming job 1565697240000 ms.1 from job set of time 1565697240000 ms 19/08/13 19:54:00 INFO JobScheduler: Finished job streaming job 1565697240000 ms.1 from job set of time 1565697240000 ms 19/08/13 19:54:00 INFO JobScheduler: Finished job streaming job 1565697240000 ms.0 from job set of time 1565697240000 ms 19/08/13 19:54:00 INFO JobScheduler: Starting job streaming job 1565697240000 ms.2 from job set of time 1565697240000 ms 19/08/13 19:54:00 INFO SharedState: loading hive config file: file:/data01/hadoop/yarn/local/usercache/hdfs/filecache/85431/__spark_conf__.zip/__hadoop_conf__/hive-site.xml 19/08/13 19:54:00 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir ('hdfs://CID-042fb939-95b4-4b74-91b8-9f94b999bdf7/apps/hive/warehouse'). 19/08/13 19:54:00 INFO SharedState: Warehouse path is 'hdfs://CID-042fb939-95b4-4b74-91b8-9f94b999bdf7/apps/hive/warehouse'. 19/08/13 19:54:00 INFO StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint 19/08/13 19:54:00 INFO BlockManagerInfo: Removed broadcast_1_piece0 on datanode02:31984 in memory (size: 1979.0 B, free: 366.3 MB) 19/08/13 19:54:00 INFO BlockManagerInfo: Removed broadcast_1_piece0 on datanode02:28863 in memory (size: 1979.0 B, free: 2.5 GB) 19/08/13 19:54:00 INFO BlockManagerInfo: Removed broadcast_1_piece0 on datanode01:20487 in memory (size: 1979.0 B, free: 2.5 GB) 19/08/13 19:54:00 INFO BlockManagerInfo: Removed broadcast_1_piece0 on datanode03:3328 in memory (size: 1979.0 B, free: 2.5 GB) 19/08/13 19:54:02 INFO CodeGenerator: Code generated in 175.416957 ms 19/08/13 19:54:02 INFO JobScheduler: Finished job streaming job 1565697240000 ms.2 from job set of time 1565697240000 ms 19/08/13 19:54:02 ERROR JobScheduler: Error running job streaming job 1565697240000 ms.2 org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException: Database 'meta_voice' not found; at org.apache.spark.sql.catalyst.catalog.ExternalCatalog.requireDbExists(ExternalCatalog.scala:40) at org.apache.spark.sql.catalyst.catalog.InMemoryCatalog.tableExists(InMemoryCatalog.scala:331) at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:388) at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:398) at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:393) at com.stream.VoiceApplication2$2.call(VoiceApplication2.java:122) at com.stream.VoiceApplication2$2.call(VoiceApplication2.java:115) at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$2.apply(JavaDStreamLike.scala:280) at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$2.apply(JavaDStreamLike.scala:280) 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:416) 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$sp(JobScheduler.scala:257) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257) at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 19/08/13 19:54:02 ERROR ApplicationMaster: User class threw exception: org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException: Database 'meta_voice' not found; org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException: Database 'meta_voice' not found; at org.apache.spark.sql.catalyst.catalog.ExternalCatalog.requireDbExists(ExternalCatalog.scala:40) at org.apache.spark.sql.catalyst.catalog.InMemoryCatalog.tableExists(InMemoryCatalog.scala:331) at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:388) at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:398) at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:393) at com.stream.VoiceApplication2$2.call(VoiceApplication2.java:122) at com.stream.VoiceApplication2$2.call(VoiceApplication2.java:115) at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$2.apply(JavaDStreamLike.scala:280) at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$2.apply(JavaDStreamLike.scala:280) 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:416) 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$sp(JobScheduler.scala:257) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257) at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 19/08/13 19:54:02 INFO ApplicationMaster: Final app status: FAILED, exitCode: 15, (reason: User class threw exception: org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException: Database 'meta_voice' not found; at org.apache.spark.sql.catalyst.catalog.ExternalCatalog.requireDbExists(ExternalCatalog.scala:40) at org.apache.spark.sql.catalyst.catalog.InMemoryCatalog.tableExists(InMemoryCatalog.scala:331) at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:388) at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:398) at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:393) at com.stream.VoiceApplication2$2.call(VoiceApplication2.java:122) at com.stream.VoiceApplication2$2.call(VoiceApplication2.java:115) at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$2.apply(JavaDStreamLike.scala:280) at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$2.apply(JavaDStreamLike.scala:280) 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:416) 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$sp(JobScheduler.scala:257) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257) at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) ) 19/08/13 19:54:02 INFO StreamingContext: Invoking stop(stopGracefully=true) from shutdown hook 19/08/13 19:54:02 INFO ReceiverTracker: Sent stop signal to all 1 receivers 19/08/13 19:54:02 ERROR ReceiverTracker: Deregistered receiver for stream 0: Stopped by driver 19/08/13 19:54:02 INFO TaskSetManager: Finished task 0.0 in stage 2.0 (TID 70) in 35055 ms on datanode01 (executor 2) (1/1) 19/08/13 19:54:02 INFO YarnClusterScheduler: Removed TaskSet 2.0, whose tasks have all completed, from pool 19/08/13 19:54:02 INFO DAGScheduler: ResultStage 2 (start at VoiceApplication2.java:128) finished in 35.086 s 19/08/13 19:54:02 INFO ReceiverTracker: Waiting for receiver job to terminate gracefully 19/08/13 19:54:02 INFO ReceiverTracker: Waited for receiver job to terminate gracefully 19/08/13 19:54:02 INFO ReceiverTracker: All of the receivers have deregistered successfully 19/08/13 19:54:02 INFO ReceiverTracker: ReceiverTracker stopped 19/08/13 19:54:02 INFO JobGenerator: Stopping JobGenerator gracefully 19/08/13 19:54:02 INFO JobGenerator: Waiting for all received blocks to be consumed for job generation 19/08/13 19:54:02 INFO JobGenerator: Waited for all received blocks to be consumed for job generation 19/08/13 19:54:12 WARN ShutdownHookManager: ShutdownHook '$anon$2' timeout, java.util.concurrent.TimeoutException java.util.concurrent.TimeoutException at java.util.concurrent.FutureTask.get(FutureTask.java:205) at org.apache.hadoop.util.ShutdownHookManager$1.run(ShutdownHookManager.java:67) 19/08/13 19:54:12 ERROR Utils: Uncaught exception in thread pool-1-thread-1 java.lang.InterruptedException at java.lang.Object.wait(Native Method) at java.lang.Thread.join(Thread.java:1252) at java.lang.Thread.join(Thread.java:1326) at org.apache.spark.streaming.util.RecurringTimer.stop(RecurringTimer.scala:86) at org.apache.spark.streaming.scheduler.JobGenerator.stop(JobGenerator.scala:137) at org.apache.spark.streaming.scheduler.JobScheduler.stop(JobScheduler.scala:123) at org.apache.spark.streaming.StreamingContext$$anonfun$stop$1.apply$mcV$sp(StreamingContext.scala:681) at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1357) at org.apache.spark.streaming.StreamingContext.stop(StreamingContext.scala:680) at org.apache.spark.streaming.StreamingContext.org$apache$spark$streaming$StreamingContext$$stopOnShutdown(StreamingContext.scala:714) at org.apache.spark.streaming.StreamingContext$$anonfun$start$1.apply$mcV$sp(StreamingContext.scala:599) at org.apache.spark.util.SparkShutdownHook.run(ShutdownHookManager.scala:216) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(ShutdownHookManager.scala:188) at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1988) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply$mcV$sp(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(ShutdownHookManager.scala:188) at scala.util.Try$.apply(Try.scala:192) at org.apache.spark.util.SparkShutdownHookManager.runAll(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anon$2.run(ShutdownHookManager.scala:178) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) ```
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