Spark Streaming作业如何停止

RT，我用submit提交作业加了& 现在 在spark history上面看到还在运行 我现在想关闭这个作业 提交的方式为LOCAL

spark streaming实时分析去重问题

spark streaming实时分析处理时，处理的数据可能会出现重复，需要根据唯一的key进行处理，谁知道怎么处理

spark streaming如何更好的计算关系型数据库中数据？

各位大虾过来围观一下。 spark streaming在计算日志时通常会使用kafka+spark的架构， 目前很少看到有大虾讲spark streaming计算关系型数据库中的数据。 希望有大虾过来围观讨论，如何更好的把关系型数据库中的数据同步至spark中， 进行实时计算。有什么更好的架构或者开源软件的解决方案

Spark Streaming 交互式查询问题

假设我的通过Spark Streaming 来分析用户实时提交过来的数据，数据包含<uid, time,等其他信息>， 假设.对应 spark代码为 ssc.socketTextStream("...",port) 然后，我想实现基于用户ID的查询 var qid = “u_123“//从控制台中读入待查询的uid ssc.filter(uid==qid) ssc.start（） ssc.awaitTermination() 好问题来了，该如何实现交互式的根据用户输入的查询uid，返回流上的查询结果（如何在不需修改太多代码的情况下实现呢？）

spark streaming 报错

Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.kafka.KafkaUtils

java 后台查询数据使用spark Streaming处理

哪位大神知道怎么使用spark Streaming处理从数据库查询出来的数据，然后传给前台吗

spark streaming监控hdfs的文件变化

spark streaming中有对hdfs中新增文件的监控，但是如何对具体的某个文件进行监控呢，比如文件a后面增加了一行，如何才能get到这个信息呢 

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

   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！

spark streaming运行一段时间报以下异常，怎么解决

Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 1568735.0 failed 4 times, most recent failure: Lost task 2.3 in stage 1568735.0 (TID 11808399, iZ94pshi327Z): java.lang.Exception: Could not compute split, block input-0-1438413230200 not found at org.apache.spark.rdd.BlockRDD.compute(BlockRDD.scala:51) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:64) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:744) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1204) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1193) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1192) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) 15/08/01 08:53:09 WARN AkkaUtils: Error sending message [message = Heartbeat(0,[Lscala.Tuple2;@544fc1ff,BlockManagerId(0, iZ94w2tczvjZ, 41595))] in 2 attempts java.util.concurrent.TimeoutException: Futures timed out after [30 seconds] at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) at scala.concurrent.Await$.result(package.scala:107) at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:195) at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:427) 15/08/01 08:53:28 WARN AkkaUtils: Error sending message [message = UpdateBlockInfo(BlockManagerId(0, iZ94w2tczvjZ, 41595),input-0-1438385673800,StorageLevel(false, false, false, false, 1),0,0,0)] in 1 attempts java.util.concurrent.TimeoutException: Futures timed out after [30 seconds] at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) at scala.concurrent.Await$.result(package.scala:107) at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:195) at org.apache.spark.storage.BlockManagerMaster.askDriverWithReply(BlockManagerMaster.scala:221) at org.apache.spark.storage.BlockManagerMaster.updateBlockInfo(BlockManagerMaster.scala:62) at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$tryToReportBlockStatus(BlockManager.scala:384) at org.apache.spark.storage.BlockManager.reportBlockStatus(BlockManager.scala:360) at org.apache.spark.storage.BlockManager.dropOldBlocks(BlockManager.scala:1138) at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$dropOldNonBroadcastBlocks(BlockManager.scala:1115) at org.apache.spark.storage.BlockManager$$anonfun$1.apply$mcVJ$sp(BlockManager.scala:149) at org.apache.spark.util.MetadataCleaner$$anon$1.run(MetadataCleaner.scala:43) at java.util.TimerThread.mainLoop(Timer.java:555) at java.util.TimerThread.run(Timer.java:505) 15/08/01 08:53:42 WARN AkkaUtils: Error sending message [message = Heartbeat(0,[Lscala.Tuple2;@544fc1ff,BlockManagerId(0, iZ94w2tczvjZ, 41595))] in 3 attempts java.util.concurrent.TimeoutException: Futures timed out after [30 seconds] at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) at scala.concurrent.Await$.result(package.scala:107) at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:195) at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:427) 15/08/01 08:53:45 WARN Executor: Issue communicating with driver in heartbeater org.apache.spark.SparkException: Error sending message [message = Heartbeat(0,[Lscala.Tuple2;@544fc1ff,BlockManagerId(0, iZ94w2tczvjZ, 41595))] at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:209) at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:427) Caused by: java.util.concurrent.TimeoutException: Futures timed out after [30 seconds] at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) at scala.concurrent.Await$.result(package.scala:107) at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:195) ... 1 more

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

Spark Streaming读取kafka数据解析后写入ES，处理效率太低太慢

环境： * Kafka 0.10+（不影响） * Spark 2.4.0 + Yarn * ES 6.5.4 问题： 从Kafka读取获取消息，然后进行简单过滤清晰操作后，将消息写入到ES中，发现处理效率很低， Kafka有三个partition maxRatePerPartition=2000 batchInterval=1s //这种情况下刚刚好，就是处理延迟在1s左右浮动，不会出现任务堆积的情况 //此时处理配置 //num_executor=3 //executor_core=8 然后将读数据的maxRatePerPartition增大到10000乃至20000，发现处理速度始终没有变化 期间将num_executor设置为8，executor_core设置为8，还是没啥用 还增加了设置： ```java conf.set("spark.streaming,concurrentJobs","20") conf.set("spark.local.wait","100ms") ``` 还是没啥变化，大佬们，到底要咋调啊

spark structured streaming实现每30秒计算前30分钟的用户增长率

spark structured streaming实现每30秒计算前30分钟的用户增长率，spark structured stream是否可以实现？如何实现

在使用Spark Streaming向HDFS中保存数据时，文件内容会被覆盖掉，怎么解决？

我的Spark Streaming代码如下所示： ``` val lines=FlumeUtils.createStream(ssc,"hdp2.domain",22222,StorageLevel.MEMORY_AND_DISK_SER_2) val words = lines.filter(examtep(_)) words.foreachRDD(exam(_)) //some other code def exam(rdd:RDD[SparkFlumeEvent]):Unit={ if(rdd.count()>0) { println("****Something*****") val newrdd=rdd.map(sfe=>{ val tmp=new String(sfe.event.getBody.array()) tmp }) newrdd.saveAsTextFile("/user/spark/appoutput/Temperaturetest") } } ``` 当words.foreachRDD(exam(_))中每次执行exam()方法的时候，都会执行newrdd.saveAsTextFile("/user/''''''")，但是HDFS上Temperaturetest文件夹里的内容每次都会被覆盖掉，只保存着最后一次saveAsTextFIle的内容，怎样才能让所有数据都存储到Temperaturetest中呢？？

能否用spark streaming和flume或kafka对实时网络数据进行检测

目前已经有一个训练好的机器学习分类模型，存在于HDFS上，可以对LibSVMFile格式的数据进行检测。它是对很多的一段时间内的流量数据（比如1s，很多个1s）提取特征训练之后得到的。 我们知道streaming是将输入流分成微切片，微切片能否可以是从pcap文件读取呢？因为提取特征包括训练模型的时候是需要对pcap文件操作的。 flume和kafka都是可以传输txt的，能不能传输pcap文件呢？要将输入的网络数据流像tcpdump一样可以存为pcap文件，又有像kafka一样的缓存功能可以用哪些技术呢？ 最后就是能否用spark streaming利用分类模型对网络数据流进行提特征并预测，而且与防火墙联动，这在技术上是否可行？

spark streaming直连kafka，手动更新offset，offset前面出现一段乱码

如题，我是通过 offsetsRanges.foreach(offsetRange => { val path = s"${zkPath}/${offsetRange.partition}" val offset = offsetRange.fromOffset.toString // 将该 partition 的 offset 保存到 zookeeper logger.warn(s"向zookeeper中topic:${offsetRange.topic}的${offsetRange.partition}分区写入offset:${offset}") ZkUtils.updatePersistentPath(zkClient, path, offset) } ) 手动更新offset的，但是我用zkClient查看的时候发现，在offset前面多了一段乱码，导致用kafka监控程序的时候，无法监控

sparkStreaming 接收ServerSocket程序写过来的字符串

spark Streaming 接收ServerSocket程序写过来的字符串 ServerSocket 怎么写呢？！！！！！本人新手请指教

socket producer scala

spark streaming 中如何使用socket做producer，求这个程序的scala版本

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 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