spark之scala程序开发(集群运行模式)：单词出现次数统计
准备工作：
将运行Scala-Eclipse的机器节点(CloudDeskTop)内存调整至4G，因为需要在该节点上跑本地(local)Spark程序，本地Spark程序会启动Worker进程耗用大量内存资源
其余准备工作可参考：scala程序开发之单词出现次数统计(本地运行模式)
1、启动Spark集群
[hadoop@master01 install]$ cat start-total.sh #!/bin/bash echo "请首先确认你已经切换到hadoop用户" #启动zookeeper集群 for node in hadoop@slave01 hadoop@slave02 hadoop@slave03;do ssh $node "source /etc/profile; cd /software/zookeeper-3.4.10/bin/; ./zkServer.sh start; jps";done #开启dfs集群 cd /software/ && start-dfs.sh && jps #开启spark集群 #启动master01的Master进程，slave节点的Worker进程 cd /software/spark-2.1.1/sbin/ && ./start-master.sh && ./start-slaves.sh && jps #启动master02的Master进程 ssh hadoop@master02 "cd /software/spark-2.1.1/sbin/; ./start-master.sh; jps" #spark集群的日志服务，一般不开，因为比较占资源 #cd /software/spark-2.1.1/sbin/ && ./start-history-server.sh && cd - && jps
查看master的状态：
[hadoop@master01 software]$ hdfs haadmin -getServiceState nn1
[hadoop@master01 software]$ hdfs haadmin -getServiceState nn2
需要有一个是active，否则使用如下语句进行转换：
[hadoop@master01 software]$ hdfs haadmin -transitionToActive --forceactive nn1
2、上传一个测试文件wordcount到HDFS集群
[hadoop@master02 install]$ hdfs dfs -ls /test/scala/input Found 2 items -rw-r--r-- 3 hadoop supergroup 156 2018-02-07 16:25 /test/scala/input/information -rw-r--r-- 3 hadoop supergroup 156 2018-02-07 16:25 /test/scala/input/information02 [hadoop@master02 install]$ hdfs dfs -cat /test/scala/input/information zhnag san shi yi ge hao ren jin tian shi yi ge hao tian qi wo zai zhe li zuo le yi ge ce shi yi ge guan yu scala de ce shi welcome to mmzs 欢迎 欢迎 [hadoop@master02 install]$ hdfs dfs -cat /test/scala/input/information02 zhnag san shi yi ge hao ren jin tian shi yi ge hao tian qi wo zai zhe li zuo le yi ge ce shi yi ge guan yu scala de ce shi welcome to mmzs 欢迎 欢迎
3、编写Spark的Job代码
1 package com.mmzs.bigdata.spark.rdd.cluster 2 3 import org.apache.spark.SparkConf 4 import org.apache.spark.SparkContext 5 import org.apache.spark.rdd.RDD 6 import org.apache.hadoop.fs.FileSystem 7 import org.apache.hadoop.conf.Configuration 8 import java.net.URI 9 import org.apache.hadoop.fs.Path 10 import org.apache.spark.rdd.RDD.rddToOrderedRDDFunctions 11 import org.apache.spark.rdd.RDD.rddToPairRDDFunctions 12 13 object WordCount { 14 /* 15 * scala中有private(本类中访问)、protected(本类和子类中访问)、默认(public工程内访问)三种访问权限 16 * scala类中属性的默认访问权限是private 17 * scala中类和方法的默认访问权限是public,但无需显式指定public,因为scala中没有这个关键字 18 */ 19 var fs:FileSystem=null; 20 21 //定义一个实例块 22 { 23 val hconf:Configuration=new Configuration(); 24 fs=FileSystem.get(new URI("hdfs://ns1/"), hconf, "hadoop"); 25 } 26 27 /** 28 * 主函数 29 * @param args 30 */ 31 def main(args: Array[String]): Unit = { 32 //读取spark配置文件 33 val conf:SparkConf = new SparkConf(); 34 //本地测试模式 35 //conf.setMaster("local"); 36 //集群测试模式 37 //conf.setMaster("spark://master01:7077"); 38 //设定应用名字 39 conf.setAppName("Hdfs Scala Spark RDD"); 40 41 //根据配置获取spark上下文对象 42 val sc:SparkContext = new SparkContext(conf); 43 44 //使用sparkContext读取文件到内存并生成RDD对象 45 //指定一个输入目录即可,目录中的所有文件都将作为输入文件 46 val lineRdd:RDD[String] = sc.textFile("/test/scala/input"); 47 //使用空格切分每一行的数据为单词数组，并将单词数组中的单词子串释放到外层的RDD集合中 48 val flatRdd:RDD[String] = lineRdd.flatMap { line => line.split(" "); } 49 //将RDD中的每一个单词字串转化为元组，以完成单词计数 50 val mapRDD:RDD[Tuple2[String, Integer]] = flatRdd.map(word=>(word,1)); 51 //按RDD集合中每一个元组的第一个元素(即单词字串)进行分组并完成单词计数 52 val reduceRDD:RDD[(String, Integer)] = mapRDD.reduceByKey((pre:Integer, next:Integer)=>pre+next); 53 //交换元素中的key和value的位置便于后续排序 54 val reduceRDD02:RDD[(Integer, String)] = reduceRDD.map(tuple=>(tuple._2,tuple._1)); 55 //根据key进行排序，第二个参数表示启动的Task数量，设置大了可能会抛出内存溢出的异常 56 val sortRDD:RDD[(Integer, String)] = reduceRDD02.sortByKey(false, 1); 57 //排好序之后将顺序换回来 58 val sortRDD02:RDD[(Integer, String)] = reduceRDD.map(tuple=>(tuple._2,tuple._1)); 59 60 //指定一个输出目录，如果输出目录已经事先存在则应该将它删除掉 61 val dst:Path=new Path("/test/scala/output/"); 62 if(fs.exists(dst)&&fs.isDirectory(dst))fs.delete(dst, true); 63 //将结果保存到指定路径下 64 reduceRDD.saveAsTextFile("/test/scala/output/"); 65 66 //停止使用spark上下文对象 67 sc.stop(); 68 } 69 }
4、打包并提交运行Job
4.1、打包Spark代码
#在Eclipse的工程目录SparkTest下创建打包目录jarTest [hadoop@CloudDeskTop software]$ mkdir -p /project/scala/SparkRDD/jarTest #将Eclipse中编译好的bin目录下的com文件夹打包到工程目录下的jarTest目录下 [hadoop@CloudDeskTop software]$ cd /project/scala/SparkTest/bin [hadoop@CloudDeskTop bin]$ pwd /project/scala/SparkTest/bin [hadoop@CloudDeskTop bin]$ jar -cvf /project/scala/SparkRDD/jarTest/wordcount.jar com/
4.2、提交Spark的Job
#切换到Spark安装目录下的bin目录下
[hadoop@CloudDeskTop bin]$ pwd
/software/spark-2.1.1/bin
#提交Job到Spark集群(注意：--master参数值spark://master01:7077不能以斜杠结尾)
[hadoop@CloudDeskTop bin]$ ./spark-submit --master spark://master01:7077 --class com.mmzs.bigdata.spark.rdd.cluster.WordCount /project/scala/SparkRDD/jarTest/wordcount.jar 1
-bash: ./spark-submit: 没有那个文件或目录 [hadoop@CloudDeskTop bin]$ cd /software/spark-2.1.1/bin/ [hadoop@CloudDeskTop bin]$ ./spark-submit --master spark://master01:7077 --class com.mmzs.bigdata.spark.rdd.cluster.WordCount /project/scala/SparkRDD/jarTest/wordcount.jar 1 18/02/08 15:21:49 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 18/02/08 15:21:50 INFO spark.SparkContext: Running Spark version 2.1.1 18/02/08 15:21:50 WARN spark.SparkContext: Support for Java 7 is deprecated as of Spark 2.0.0 18/02/08 15:21:50 INFO spark.SecurityManager: Changing view acls to: hadoop 18/02/08 15:21:50 INFO spark.SecurityManager: Changing modify acls to: hadoop 18/02/08 15:21:50 INFO spark.SecurityManager: Changing view acls groups to: 18/02/08 15:21:50 INFO spark.SecurityManager: Changing modify acls groups to: 18/02/08 15:21:50 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); groups with view permissions: Set(); users with modify permissions: Set(hadoop); groups with modify permissions: Set() 18/02/08 15:21:51 INFO util.Utils: Successfully started service 'sparkDriver' on port 36034. 18/02/08 15:21:51 INFO spark.SparkEnv: Registering MapOutputTracker 18/02/08 15:21:51 INFO spark.SparkEnv: Registering BlockManagerMaster 18/02/08 15:21:51 INFO storage.BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information 18/02/08 15:21:51 INFO storage.BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up 18/02/08 15:21:51 INFO storage.DiskBlockManager: Created local directory at /tmp/blockmgr-00930396-c78b-4931-8433-409ea44280ca 18/02/08 15:21:51 INFO memory.MemoryStore: MemoryStore started with capacity 366.3 MB 18/02/08 15:21:51 INFO spark.SparkEnv: Registering OutputCommitCoordinator 18/02/08 15:21:51 INFO util.log: Logging initialized @5920ms 18/02/08 15:21:52 INFO server.Server: jetty-9.2.z-SNAPSHOT 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7ff38263{/jobs,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4bf57335{/jobs/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5f5ec388{/jobs/job,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@467746a2{/jobs/job/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@40be59d2{/stages,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@10fb0b33{/stages/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@519c49fa{/stages/stage,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6bbce5f1{/stages/stage/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3e9c6879{/stages/pool,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@e8f000c{/stages/pool/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4e4c1b4b{/storage,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@66940115{/storage/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7ed33e4f{/storage/rdd,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5e9ff595{/storage/rdd/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@57b439bb{/environment,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@793a50f8{/environment/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@639a07f5{/executors,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@158098e9{/executors/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2db6f406{/executors/threadDump,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@464ecd5c{/executors/threadDump/json,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5f8c7713{/static,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7eddb166{/,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@ca9e09c{/api,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@64d92842{/jobs/job/kill,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6ce238c7{/stages/stage/kill,null,AVAILABLE,@Spark} 18/02/08 15:21:52 INFO server.ServerConnector: Started Spark@7f3e9c42{HTTP/1.1}{0.0.0.0:4040} 18/02/08 15:21:52 INFO server.Server: Started @6335ms 18/02/08 15:21:52 INFO util.Utils: Successfully started service 'SparkUI' on port 4040. 18/02/08 15:21:52 INFO ui.SparkUI: Bound SparkUI to 0.0.0.0, and started at http://192.168.154.134:4040 18/02/08 15:21:52 INFO spark.SparkContext: Added JAR file:/project/scala/SparkRDD/jarTest/wordcount.jar at spark://192.168.154.134:36034/jars/wordcount.jar with timestamp 1518074512324 18/02/08 15:21:52 INFO client.StandaloneAppClient$ClientEndpoint: Connecting to master spark://master01:7077... 18/02/08 15:21:52 INFO client.TransportClientFactory: Successfully created connection to master01/192.168.154.130:7077 after 74 ms (0 ms spent in bootstraps) 18/02/08 15:21:53 INFO cluster.StandaloneSchedulerBackend: Connected to Spark cluster with app ID app-20180208152153-0011 18/02/08 15:21:53 INFO client.StandaloneAppClient$ClientEndpoint: Executor added: app-20180208152153-0011/0 on worker-20180208121809-192.168.154.133-49922 (192.168.154.133:49922) with 4 cores 18/02/08 15:21:53 INFO cluster.StandaloneSchedulerBackend: Granted executor ID app-20180208152153-0011/0 on hostPort 192.168.154.133:49922 with 4 cores, 1024.0 MB RAM 18/02/08 15:21:53 INFO client.StandaloneAppClient$ClientEndpoint: Executor added: app-20180208152153-0011/1 on worker-20180208121818-192.168.154.132-43679 (192.168.154.132:43679) with 4 cores 18/02/08 15:21:53 INFO cluster.StandaloneSchedulerBackend: Granted executor ID app-20180208152153-0011/1 on hostPort 192.168.154.132:43679 with 4 cores, 1024.0 MB RAM 18/02/08 15:21:53 INFO client.StandaloneAppClient$ClientEndpoint: Executor added: app-20180208152153-0011/2 on worker-20180208121826-192.168.154.131-56071 (192.168.154.131:56071) with 4 cores 18/02/08 15:21:53 INFO cluster.StandaloneSchedulerBackend: Granted executor ID app-20180208152153-0011/2 on hostPort 192.168.154.131:56071 with 4 cores, 1024.0 MB RAM 18/02/08 15:21:53 INFO util.Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 35028. 18/02/08 15:21:53 INFO netty.NettyBlockTransferService: Server created on 192.168.154.134:35028 18/02/08 15:21:53 INFO storage.BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy 18/02/08 15:21:53 INFO storage.BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 192.168.154.134, 35028, None) 18/02/08 15:21:53 INFO storage.BlockManagerMasterEndpoint: Registering block manager 192.168.154.134:35028 with 366.3 MB RAM, BlockManagerId(driver, 192.168.154.134, 35028, None) 18/02/08 15:21:53 INFO client.StandaloneAppClient$ClientEndpoint: Executor updated: app-20180208152153-0011/0 is now RUNNING 18/02/08 15:21:53 INFO client.StandaloneAppClient$ClientEndpoint: Executor updated: app-20180208152153-0011/2 is now RUNNING 18/02/08 15:21:53 INFO client.StandaloneAppClient$ClientEndpoint: Executor updated: app-20180208152153-0011/1 is now RUNNING 18/02/08 15:21:53 INFO storage.BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 192.168.154.134, 35028, None) 18/02/08 15:21:53 INFO storage.BlockManager: Initialized BlockManager: BlockManagerId(driver, 192.168.154.134, 35028, None) 18/02/08 15:21:53 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3589f0{/metrics/json,null,AVAILABLE,@Spark} 18/02/08 15:21:55 INFO scheduler.EventLoggingListener: Logging events to hdfs://ns1/sparkLog/app-20180208152153-0011 18/02/08 15:21:55 INFO cluster.StandaloneSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0 18/02/08 15:21:57 INFO memory.MemoryStore: Block broadcast_0 stored as values in memory (estimated size 202.4 KB, free 366.1 MB) 18/02/08 15:21:57 INFO memory.MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 23.8 KB, free 366.1 MB) 18/02/08 15:21:57 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.154.134:35028 (size: 23.8 KB, free: 366.3 MB) 18/02/08 15:21:57 INFO spark.SparkContext: Created broadcast 0 from textFile at WordCount.scala:46 18/02/08 15:21:58 INFO mapred.FileInputFormat: Total input paths to process : 2 18/02/08 15:21:58 INFO Configuration.deprecation: mapred.tip.id is deprecated. Instead, use mapreduce.task.id 18/02/08 15:21:58 INFO Configuration.deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id 18/02/08 15:21:58 INFO Configuration.deprecation: mapred.task.is.map is deprecated. Instead, use mapreduce.task.ismap 18/02/08 15:21:58 INFO Configuration.deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition 18/02/08 15:21:58 INFO Configuration.deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id 18/02/08 15:21:58 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 1 18/02/08 15:21:59 INFO spark.SparkContext: Starting job: saveAsTextFile at WordCount.scala:64 18/02/08 15:21:59 INFO scheduler.DAGScheduler: Registering RDD 3 (map at WordCount.scala:50) 18/02/08 15:21:59 INFO scheduler.DAGScheduler: Got job 0 (saveAsTextFile at WordCount.scala:64) with 2 output partitions 18/02/08 15:21:59 INFO scheduler.DAGScheduler: Final stage: ResultStage 1 (saveAsTextFile at WordCount.scala:64) 18/02/08 15:21:59 INFO scheduler.DAGScheduler: Parents of final stage: List(ShuffleMapStage 0) 18/02/08 15:21:59 INFO scheduler.DAGScheduler: Missing parents: List(ShuffleMapStage 0) 18/02/08 15:21:59 INFO scheduler.DAGScheduler: Submitting ShuffleMapStage 0 (MapPartitionsRDD[3] at map at WordCount.scala:50), which has no missing parents 18/02/08 15:21:59 INFO memory.MemoryStore: Block broadcast_1 stored as values in memory (estimated size 4.4 KB, free 366.1 MB) 18/02/08 15:21:59 INFO memory.MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 2.5 KB, free 366.1 MB) 18/02/08 15:21:59 INFO storage.BlockManagerInfo: Added broadcast_1_piece0 in memory on 192.168.154.134:35028 (size: 2.5 KB, free: 366.3 MB) 18/02/08 15:21:59 INFO spark.SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:996 18/02/08 15:21:59 INFO scheduler.DAGScheduler: Submitting 2 missing tasks from ShuffleMapStage 0 (MapPartitionsRDD[3] at map at WordCount.scala:50) 18/02/08 15:21:59 INFO scheduler.TaskSchedulerImpl: Adding task set 0.0 with 2 tasks 18/02/08 15:22:07 INFO cluster.CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.154.133:42992) with ID 0 18/02/08 15:22:07 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, 192.168.154.133, executor 0, partition 0, ANY, 6045 bytes) 18/02/08 15:22:07 INFO scheduler.TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, 192.168.154.133, executor 0, partition 1, ANY, 6047 bytes) 18/02/08 15:22:08 INFO cluster.CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.154.131:43045) with ID 2 18/02/08 15:22:08 INFO storage.BlockManagerMasterEndpoint: Registering block manager 192.168.154.133:36839 with 413.9 MB RAM, BlockManagerId(0, 192.168.154.133, 36839, None) 18/02/08 15:22:08 INFO storage.BlockManagerMasterEndpoint: Registering block manager 192.168.154.131:39804 with 413.9 MB RAM, BlockManagerId(2, 192.168.154.131, 39804, None) 18/02/08 15:22:09 INFO cluster.CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.154.132:50642) with ID 1 18/02/08 15:22:09 INFO storage.BlockManagerMasterEndpoint: Registering block manager 192.168.154.132:53076 with 413.9 MB RAM, BlockManagerId(1, 192.168.154.132, 53076, None) 18/02/08 15:22:10 INFO storage.BlockManagerInfo: Added broadcast_1_piece0 in memory on 192.168.154.133:36839 (size: 2.5 KB, free: 413.9 MB) 18/02/08 15:22:10 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.154.133:36839 (size: 23.8 KB, free: 413.9 MB) 18/02/08 15:22:19 INFO scheduler.TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 11109 ms on 192.168.154.133 (executor 0) (1/2) 18/02/08 15:22:19 INFO scheduler.TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 11280 ms on 192.168.154.133 (executor 0) (2/2) 18/02/08 15:22:19 INFO scheduler.DAGScheduler: ShuffleMapStage 0 (map at WordCount.scala:50) finished in 19.217 s 18/02/08 15:22:19 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 18/02/08 15:22:19 INFO scheduler.DAGScheduler: looking for newly runnable stages 18/02/08 15:22:19 INFO scheduler.DAGScheduler: running: Set() 18/02/08 15:22:19 INFO scheduler.DAGScheduler: waiting: Set(ResultStage 1) 18/02/08 15:22:19 INFO scheduler.DAGScheduler: failed: Set() 18/02/08 15:22:19 INFO scheduler.DAGScheduler: Submitting ResultStage 1 (MapPartitionsRDD[8] at saveAsTextFile at WordCount.scala:64), which has no missing parents 18/02/08 15:22:19 INFO memory.MemoryStore: Block broadcast_2 stored as values in memory (estimated size 74.2 KB, free 366.0 MB) 18/02/08 15:22:19 INFO memory.MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 27.0 KB, free 366.0 MB) 18/02/08 15:22:19 INFO storage.BlockManagerInfo: Added broadcast_2_piece0 in memory on 192.168.154.134:35028 (size: 27.0 KB, free: 366.2 MB) 18/02/08 15:22:19 INFO spark.SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:996 18/02/08 15:22:19 INFO scheduler.DAGScheduler: Submitting 2 missing tasks from ResultStage 1 (MapPartitionsRDD[8] at saveAsTextFile at WordCount.scala:64) 18/02/08 15:22:19 INFO scheduler.TaskSchedulerImpl: Adding task set 1.0 with 2 tasks 18/02/08 15:22:19 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 1.0 (TID 2, 192.168.154.133, executor 0, partition 0, NODE_LOCAL, 5819 bytes) 18/02/08 15:22:19 INFO scheduler.TaskSetManager: Starting task 1.0 in stage 1.0 (TID 3, 192.168.154.133, executor 0, partition 1, NODE_LOCAL, 5819 bytes) 18/02/08 15:22:19 INFO storage.BlockManagerInfo: Added broadcast_2_piece0 in memory on 192.168.154.133:36839 (size: 27.0 KB, free: 413.9 MB) 18/02/08 15:22:19 INFO spark.MapOutputTrackerMasterEndpoint: Asked to send map output locations for shuffle 0 to 192.168.154.133:42992 18/02/08 15:22:19 INFO spark.MapOutputTrackerMaster: Size of output statuses for shuffle 0 is 155 bytes 18/02/08 15:22:21 INFO scheduler.TaskSetManager: Finished task 1.0 in stage 1.0 (TID 3) in 1896 ms on 192.168.154.133 (executor 0) (1/2) 18/02/08 15:22:21 INFO scheduler.TaskSetManager: Finished task 0.0 in stage 1.0 (TID 2) in 1933 ms on 192.168.154.133 (executor 0) (2/2) 18/02/08 15:22:21 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool 18/02/08 15:22:21 INFO scheduler.DAGScheduler: ResultStage 1 (saveAsTextFile at WordCount.scala:64) finished in 1.938 s 18/02/08 15:22:21 INFO scheduler.DAGScheduler: Job 0 finished: saveAsTextFile at WordCount.scala:64, took 22.116753 s 18/02/08 15:22:21 INFO server.ServerConnector: Stopped Spark@7f3e9c42{HTTP/1.1}{0.0.0.0:4040} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@6ce238c7{/stages/stage/kill,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@64d92842{/jobs/job/kill,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@ca9e09c{/api,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@7eddb166{/,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@5f8c7713{/static,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@464ecd5c{/executors/threadDump/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@2db6f406{/executors/threadDump,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@158098e9{/executors/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@639a07f5{/executors,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@793a50f8{/environment/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@57b439bb{/environment,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@5e9ff595{/storage/rdd/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@7ed33e4f{/storage/rdd,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@66940115{/storage/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@4e4c1b4b{/storage,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@e8f000c{/stages/pool/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@3e9c6879{/stages/pool,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@6bbce5f1{/stages/stage/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@519c49fa{/stages/stage,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@10fb0b33{/stages/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@40be59d2{/stages,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@467746a2{/jobs/job/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@5f5ec388{/jobs/job,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@4bf57335{/jobs/json,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@7ff38263{/jobs,null,UNAVAILABLE,@Spark} 18/02/08 15:22:21 INFO ui.SparkUI: Stopped Spark web UI at http://192.168.154.134:4040 18/02/08 15:22:21 INFO cluster.StandaloneSchedulerBackend: Shutting down all executors 18/02/08 15:22:21 INFO cluster.CoarseGrainedSchedulerBackend$DriverEndpoint: Asking each executor to shut down 18/02/08 15:22:21 INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 18/02/08 15:22:21 INFO memory.MemoryStore: MemoryStore cleared 18/02/08 15:22:21 INFO storage.BlockManager: BlockManager stopped 18/02/08 15:22:21 INFO storage.BlockManagerMaster: BlockManagerMaster stopped 18/02/08 15:22:21 INFO scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 18/02/08 15:22:21 INFO spark.SparkContext: Successfully stopped SparkContext 18/02/08 15:22:21 INFO util.ShutdownHookManager: Shutdown hook called 18/02/08 15:22:21 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-b652f8de-76a7-467f-b64d-3e493dfb2195
4.3、查看运行结果
[hadoop@master02 install]$ hdfs dfs -ls /test/scala/ Found 2 items drwxr-xr-x - hadoop supergroup 0 2018-02-07 16:25 /test/scala/input drwxr-xr-x - hadoop supergroup 0 2018-02-08 15:22 /test/scala/output [hadoop@master02 install]$ hdfs dfs -ls /test/scala/output Found 3 items -rw-r--r-- 3 hadoop supergroup 0 2018-02-08 15:22 /test/scala/output/_SUCCESS -rw-r--r-- 3 hadoop supergroup 134 2018-02-08 15:22 /test/scala/output/part-00000 -rw-r--r-- 3 hadoop supergroup 70 2018-02-08 15:22 /test/scala/output/part-00001 [hadoop@master02 install]$ hdfs dfs -cat /test/scala/output/part-00000 (scala,2) (zuo,2) (tian,4) (shi,8) (ce,4) (zai,2) (欢迎,4) (wo,2) (zhnag,2) (san,2) (welcome,2) (yi,8) (ge,8) (hao,4) (qi,2) (yu,2) [hadoop@master02 install]$ hdfs dfs -cat /test/scala/output/part-00001 (guan,2) (jin,2) (ren,2) (de,2) (le,2) (to,2) (zhe,2) (li,2) (mmzs,2) [hadoop@master02 install]$
5、说明：
对于将Job提交到集群的情况，最好不要直接在Eclipse工程中测试，这种不可预测性太大，容易出现异常，如果需要直接在Eclipse中测试可以设置一下提交的master节点：
//读取spark配置文件 val conf:SparkConf = new SparkConf(); //集群测试模式 //conf.setMaster("spark://master01:7077"); //设定应用名字 conf.setAppName("Hdfs Scala Spark RDD"); //根据配置获取spark上下文对象 val sc:SparkContext = new SparkContext(conf);
同时因为Job中涉及到HDFS的文件件操作，这需要连接到HDFS来完成，所以需要将Hadoop的配置文件拷贝到工程的根目录下
[hadoop@CloudDeskTop software]$ cd hadoop-2.7.3/etc/hadoop/
[hadoop@CloudDeskTop hadoop]$ cp -a core-site.xml hdfs-site.xml /project/scala/SparkTest/src/
完成上述的操作之后就可以在Eclipse中直接测试了，但是经过实践操作发现这种在IDE环境中提交Job到集群的测试会抛出很多异常(比如mutable.List类型转换异常等)
1 log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory). 2 log4j:WARN Please initialize the log4j system properly. 3 log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info. 4 Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 5 18/02/08 13:23:13 INFO SparkContext: Running Spark version 2.1.1 6 18/02/08 13:23:13 WARN SparkContext: Support for Java 7 is deprecated as of Spark 2.0.0 7 18/02/08 13:23:13 INFO SecurityManager: Changing view acls to: hadoop 8 18/02/08 13:23:13 INFO SecurityManager: Changing modify acls to: hadoop 9 18/02/08 13:23:13 INFO SecurityManager: Changing view acls groups to: 10 18/02/08 13:23:13 INFO SecurityManager: Changing modify acls groups to: 11 18/02/08 13:23:13 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); groups with view permissions: Set(); users with modify permissions: Set(hadoop); groups with modify permissions: Set() 12 18/02/08 13:23:14 INFO Utils: Successfully started service 'sparkDriver' on port 33230. 13 18/02/08 13:23:14 INFO SparkEnv: Registering MapOutputTracker 14 18/02/08 13:23:14 INFO SparkEnv: Registering BlockManagerMaster 15 18/02/08 13:23:14 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information 16 18/02/08 13:23:14 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up 17 18/02/08 13:23:14 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-7fe67308-7d14-407b-ab2e-a45de1072134 18 18/02/08 13:23:14 INFO MemoryStore: MemoryStore started with capacity 348.0 MB 19 18/02/08 13:23:14 INFO SparkEnv: Registering OutputCommitCoordinator 20 18/02/08 13:23:15 INFO Utils: Successfully started service 'SparkUI' on port 4040. 21 18/02/08 13:23:15 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://192.168.154.134:4040 22 18/02/08 13:23:15 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://master01:7077... 23 18/02/08 13:23:15 INFO TransportClientFactory: Successfully created connection to master01/192.168.154.130:7077 after 55 ms (0 ms spent in bootstraps) 24 18/02/08 13:23:15 INFO StandaloneSchedulerBackend: Connected to Spark cluster with app ID app-20180208132316-0010 25 18/02/08 13:23:15 INFO StandaloneAppClient$ClientEndpoint: Executor added: app-20180208132316-0010/0 on worker-20180208121809-192.168.154.133-49922 (192.168.154.133:49922) with 4 cores 26 18/02/08 13:23:15 INFO StandaloneSchedulerBackend: Granted executor ID app-20180208132316-0010/0 on hostPort 192.168.154.133:49922 with 4 cores, 1024.0 MB RAM 27 18/02/08 13:23:15 INFO StandaloneAppClient$ClientEndpoint: Executor added: app-20180208132316-0010/1 on worker-20180208121818-192.168.154.132-43679 (192.168.154.132:43679) with 4 cores 28 18/02/08 13:23:15 INFO StandaloneSchedulerBackend: Granted executor ID app-20180208132316-0010/1 on hostPort 192.168.154.132:43679 with 4 cores, 1024.0 MB RAM 29 18/02/08 13:23:15 INFO StandaloneAppClient$ClientEndpoint: Executor added: app-20180208132316-0010/2 on worker-20180208121826-192.168.154.131-56071 (192.168.154.131:56071) with 4 cores 30 18/02/08 13:23:15 INFO StandaloneSchedulerBackend: Granted executor ID app-20180208132316-0010/2 on hostPort 192.168.154.131:56071 with 4 cores, 1024.0 MB RAM 31 18/02/08 13:23:15 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 49476. 32 18/02/08 13:23:15 INFO NettyBlockTransferService: Server created on 192.168.154.134:49476 33 18/02/08 13:23:15 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy 34 18/02/08 13:23:15 INFO StandaloneAppClient$ClientEndpoint: Executor updated: app-20180208132316-0010/1 is now RUNNING 35 18/02/08 13:23:15 INFO StandaloneAppClient$ClientEndpoint: Executor updated: app-20180208132316-0010/0 is now RUNNING 36 18/02/08 13:23:15 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 192.168.154.134, 49476, None) 37 18/02/08 13:23:16 INFO StandaloneAppClient$ClientEndpoint: Executor updated: app-20180208132316-0010/2 is now RUNNING 38 18/02/08 13:23:16 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.154.134:49476 with 348.0 MB RAM, BlockManagerId(driver, 192.168.154.134, 49476, None) 39 18/02/08 13:23:16 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 192.168.154.134, 49476, None) 40 18/02/08 13:23:16 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, 192.168.154.134, 49476, None) 41 18/02/08 13:23:16 INFO StandaloneSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0 42 18/02/08 13:23:17 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 199.5 KB, free 347.8 MB) 43 18/02/08 13:23:18 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 23.5 KB, free 347.8 MB) 44 18/02/08 13:23:18 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.154.134:49476 (size: 23.5 KB, free: 348.0 MB) 45 18/02/08 13:23:18 INFO SparkContext: Created broadcast 0 from textFile at WordCount.scala:46 46 18/02/08 13:23:19 INFO FileInputFormat: Total input paths to process : 2 47 18/02/08 13:23:20 INFO deprecation: mapred.tip.id is deprecated. Instead, use mapreduce.task.id 48 18/02/08 13:23:20 INFO deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id 49 18/02/08 13:23:20 INFO deprecation: mapred.task.is.map is deprecated. Instead, use mapreduce.task.ismap 50 18/02/08 13:23:20 INFO deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition 51 18/02/08 13:23:20 INFO deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id 52 18/02/08 13:23:20 INFO FileOutputCommitter: File Output Committer Algorithm version is 1 53 18/02/08 13:23:21 INFO SparkContext: Starting job: saveAsTextFile at WordCount.scala:64 54 18/02/08 13:23:21 INFO DAGScheduler: Registering RDD 3 (map at WordCount.scala:50) 55 18/02/08 13:23:21 INFO DAGScheduler: Got job 0 (saveAsTextFile at WordCount.scala:64) with 2 output partitions 56 18/02/08 13:23:21 INFO DAGScheduler: Final stage: ResultStage 1 (saveAsTextFile at WordCount.scala:64) 57 18/02/08 13:23:21 INFO DAGScheduler: Parents of final stage: List(ShuffleMapStage 0) 58 18/02/08 13:23:21 INFO DAGScheduler: Missing parents: List(ShuffleMapStage 0) 59 18/02/08 13:23:21 INFO DAGScheduler: Submitting ShuffleMapStage 0 (MapPartitionsRDD[3] at map at WordCount.scala:50), which has no missing parents 60 18/02/08 13:23:21 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 4.4 KB, free 347.8 MB) 61 18/02/08 13:23:21 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 2.5 KB, free 347.8 MB) 62 18/02/08 13:23:21 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 192.168.154.134:49476 (size: 2.5 KB, free: 348.0 MB) 63 18/02/08 13:23:21 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:996 64 18/02/08 13:23:21 INFO DAGScheduler: Submitting 2 missing tasks from ShuffleMapStage 0 (MapPartitionsRDD[3] at map at WordCount.scala:50) 65 18/02/08 13:23:21 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks 66 18/02/08 13:23:33 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.154.131:58462) with ID 2 67 18/02/08 13:23:33 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, 192.168.154.131, executor 2, partition 0, ANY, 5987 bytes) 68 18/02/08 13:23:33 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, 192.168.154.131, executor 2, partition 1, ANY, 5989 bytes) 69 18/02/08 13:23:34 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.154.131:39801 with 413.9 MB RAM, BlockManagerId(2, 192.168.154.131, 39801, None) 70 18/02/08 13:23:34 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.154.133:50331) with ID 0 71 18/02/08 13:23:35 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.154.133:54974 with 413.9 MB RAM, BlockManagerId(0, 192.168.154.133, 54974, None) 72 18/02/08 13:23:36 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 192.168.154.131:39801 (size: 2.5 KB, free: 413.9 MB) 73 18/02/08 13:23:36 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.154.132:39248) with ID 1 74 18/02/08 13:23:37 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.154.132:51259 with 413.9 MB RAM, BlockManagerId(1, 192.168.154.132, 51259, None) 75 18/02/08 13:23:37 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, 192.168.154.131, executor 2): java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD 76 at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2083) 77 at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1261) 78 at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1996) 79 at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) 80 at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) 81 at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) 82 at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) 83 at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) 84 at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) 85 at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) 86 at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) 87 at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75) 88 at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114) 89 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85) 90 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) 91 at org.apache.spark.scheduler.Task.run(Task.scala:99) 92 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322) 93 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) 94 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) 95 at java.lang.Thread.run(Thread.java:745) 96 97 18/02/08 13:23:37 INFO TaskSetManager: Starting task 1.1 in stage 0.0 (TID 2, 192.168.154.133, executor 0, partition 1, ANY, 5989 bytes) 98 18/02/08 13:23:37 INFO TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0) on 192.168.154.131, executor 2: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 1] 99 18/02/08 13:23:37 INFO TaskSetManager: Starting task 0.1 in stage 0.0 (TID 3, 192.168.154.133, executor 0, partition 0, ANY, 5987 bytes) 100 18/02/08 13:23:38 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 192.168.154.133:54974 (size: 2.5 KB, free: 413.9 MB) 101 18/02/08 13:23:38 INFO TaskSetManager: Lost task 0.1 in stage 0.0 (TID 3) on 192.168.154.133, executor 0: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 2] 102 18/02/08 13:23:38 INFO TaskSetManager: Starting task 0.2 in stage 0.0 (TID 4, 192.168.154.131, executor 2, partition 0, ANY, 5987 bytes) 103 18/02/08 13:23:38 INFO TaskSetManager: Lost task 1.1 in stage 0.0 (TID 2) on 192.168.154.133, executor 0: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 3] 104 18/02/08 13:23:38 INFO TaskSetManager: Starting task 1.2 in stage 0.0 (TID 5, 192.168.154.131, executor 2, partition 1, ANY, 5989 bytes) 105 18/02/08 13:23:38 INFO TaskSetManager: Lost task 0.2 in stage 0.0 (TID 4) on 192.168.154.131, executor 2: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 4] 106 18/02/08 13:23:38 INFO TaskSetManager: Starting task 0.3 in stage 0.0 (TID 6, 192.168.154.131, executor 2, partition 0, ANY, 5987 bytes) 107 18/02/08 13:23:38 INFO TaskSetManager: Lost task 1.2 in stage 0.0 (TID 5) on 192.168.154.131, executor 2: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 5] 108 18/02/08 13:23:38 INFO TaskSetManager: Starting task 1.3 in stage 0.0 (TID 7, 192.168.154.131, executor 2, partition 1, ANY, 5989 bytes) 109 18/02/08 13:23:38 INFO TaskSetManager: Lost task 0.3 in stage 0.0 (TID 6) on 192.168.154.131, executor 2: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 6] 110 18/02/08 13:23:38 ERROR TaskSetManager: Task 0 in stage 0.0 failed 4 times; aborting job 111 18/02/08 13:23:39 INFO TaskSchedulerImpl: Cancelling stage 0 112 18/02/08 13:23:39 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 113 18/02/08 13:23:39 INFO TaskSchedulerImpl: Stage 0 was cancelled 114 18/02/08 13:23:39 INFO TaskSetManager: Lost task 1.3 in stage 0.0 (TID 7) on 192.168.154.131, executor 2: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 7] 115 18/02/08 13:23:39 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 116 18/02/08 13:23:39 INFO DAGScheduler: ShuffleMapStage 0 (map at WordCount.scala:50) failed in 17.103 s due to Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 6, 192.168.154.131, executor 2): java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD 117 at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2083) 118 at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1261) 119 at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1996) 120 at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) 121 at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) 122 at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) 123 at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) 124 at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) 125 at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) 126 at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) 127 at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) 128 at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75) 129 at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114) 130 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85) 131 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) 132 at org.apache.spark.scheduler.Task.run(Task.scala:99) 133 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322) 134 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) 135 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) 136 at java.lang.Thread.run(Thread.java:745) 137 138 Driver stacktrace: 139 18/02/08 13:23:39 INFO DAGScheduler: Job 0 failed: saveAsTextFile at WordCount.scala:64, took 17.644346 s 140 Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 6, 192.168.154.131, executor 2): java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD 141 at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2083) 142 at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1261) 143 at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1996) 144 at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) 145 at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) 146 at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) 147 at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) 148 at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) 149 at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) 150 at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) 151 at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) 152 at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75) 153 at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114) 154 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85) 155 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) 156 at org.apache.spark.scheduler.Task.run(Task.scala:99) 157 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322) 158 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) 159 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) 160 at java.lang.Thread.run(Thread.java:745) 161 162 Driver stacktrace: 163 at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435) 164 at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423) 165 at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422) 166 at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) 167 at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) 168 at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422) 169 at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802) 170 at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802) 171 at scala.Option.foreach(Option.scala:257) 172 at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802) 173 at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650) 174 at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605) 175 at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594) 176 at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) 177 at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628) 178 at org.apache.spark.SparkContext.runJob(SparkContext.scala:1925) 179 at org.apache.spark.SparkContext.runJob(SparkContext.scala:1938) 180 at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958) 181 at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1226) 182 at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1168) 183 at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1168) 184 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) 185 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) 186 at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) 187 at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1168) 188 at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply$mcV$sp(PairRDDFunctions.scala:1071) 189 at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1037) 190 at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1037) 191 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) 192 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) 193 at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) 194 at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:1037) 195 at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply$mcV$sp(PairRDDFunctions.scala:963) 196 at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:963) 197 at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:963) 198 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) 199 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) 200 at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) 201 at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:962) 202 at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply$mcV$sp(RDD.scala:1489) 203 at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1468) 204 at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1468) 205 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) 206 at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) 207 at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) 208 at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:1468) 209 at com.mmzs.bigdata.spark.rdd.cluster.WordCount$.main(WordCount.scala:64) 210 at com.mmzs.bigdata.spark.rdd.cluster.WordCount.main(WordCount.scala) 211 Caused by: java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD 212 at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2083) 213 at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1261) 214 at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1996) 215 at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) 216 at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) 217 at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) 218 at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) 219 at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) 220 at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) 221 at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) 222 at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) 223 at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75) 224 at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114) 225 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85) 226 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) 227 at org.apache.spark.scheduler.Task.run(Task.scala:99) 228 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322) 229 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) 230 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) 231 at java.lang.Thread.run(Thread.java:745) 232 18/02/08 13:23:39 INFO SparkContext: Invoking stop() from shutdown hook 233 18/02/08 13:23:39 INFO SparkUI: Stopped Spark web UI at http://192.168.154.134:4040 234 18/02/08 13:23:39 INFO StandaloneSchedulerBackend: Shutting down all executors 235 18/02/08 13:23:39 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Asking each executor to shut down 236 18/02/08 13:23:39 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 237 18/02/08 13:23:39 INFO MemoryStore: MemoryStore cleared 238 18/02/08 13:23:39 INFO BlockManager: BlockManager stopped 239 18/02/08 13:23:39 INFO BlockManagerMaster: BlockManagerMaster stopped 240 18/02/08 13:23:39 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 241 18/02/08 13:23:39 INFO SparkContext: Successfully stopped SparkContext 242 18/02/08 13:23:39 INFO ShutdownHookManager: Shutdown hook called 243 18/02/08 13:23:39 INFO ShutdownHookManager: Deleting directory /tmp/spark-0c6925cb-bf3e-4616-94fb-a588da99dee4
