1、完全分布式 ./bin/run-example streaming.NetworkWordCount localhost 9999无法正常运行：
1 [hadoop@slaver1 spark-1.5.1-bin-hadoop2.4]$ ./bin/run-example streaming.NetworkWordCount slaver1 9999
2 18/04/23 04:11:20 INFO SparkContext: Running Spark version 1.5.1 3 18/04/23 04:11:20 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 4 18/04/23 04:11:21 WARN SparkConf: 5 SPARK_WORKER_INSTANCES was detected (set to '1'). 6 This is deprecated in Spark 1.0+. 7 8 Please instead use: 9 - ./spark-submit with --num-executors to specify the number of executors 10 - Or set SPARK_EXECUTOR_INSTANCES 11 - spark.executor.instances to configure the number of instances in the spark config. 12 13 18/04/23 04:11:21 INFO SecurityManager: Changing view acls to: hadoop 14 18/04/23 04:11:21 INFO SecurityManager: Changing modify acls to: hadoop 15 18/04/23 04:11:21 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop) 16 18/04/23 04:11:22 INFO Slf4jLogger: Slf4jLogger started 17 18/04/23 04:11:22 INFO Remoting: Starting remoting 18 18/04/23 04:11:23 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://[email protected]:48823] 19 18/04/23 04:11:23 INFO Utils: Successfully started service 'sparkDriver' on port 48823. 20 18/04/23 04:11:23 INFO SparkEnv: Registering MapOutputTracker 21 18/04/23 04:11:23 INFO SparkEnv: Registering BlockManagerMaster 22 18/04/23 04:11:23 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-a48ee060-c8e8-4089-92b5-180cd8081890 23 18/04/23 04:11:23 INFO MemoryStore: MemoryStore started with capacity 534.5 MB 24 18/04/23 04:11:23 INFO HttpFileServer: HTTP File server directory is /tmp/spark-b6aec1ea-9a70-4814-b1f8-e752c27b9cee/httpd-fed4eaa6-5aec-4656-8d38-984997030d43 25 18/04/23 04:11:23 INFO HttpServer: Starting HTTP Server 26 18/04/23 04:11:23 INFO Utils: Successfully started service 'HTTP file server' on port 55775. 27 18/04/23 04:11:23 INFO SparkEnv: Registering OutputCommitCoordinator 28 18/04/23 04:11:24 INFO Utils: Successfully started service 'SparkUI' on port 4040. 29 18/04/23 04:11:24 INFO SparkUI: Started SparkUI at http://192.168.19.131:4040 30 18/04/23 04:11:24 INFO SparkContext: Added JAR file:/home/hadoop/soft/spark-1.5.1-bin-hadoop2.4/lib/spark-examples-1.5.1-hadoop2.4.0.jar at http://192.168.19.131:55775/jars/spark-examples-1.5.1-hadoop2.4.0.jar with timestamp 1524471084606 31 18/04/23 04:11:24 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set. 32 18/04/23 04:11:24 INFO Executor: Starting executor ID driver on host localhost 33 18/04/23 04:11:25 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 36228. 34 18/04/23 04:11:25 INFO NettyBlockTransferService: Server created on 36228 35 18/04/23 04:11:25 INFO BlockManagerMaster: Trying to register BlockManager 36 18/04/23 04:11:25 INFO BlockManagerMasterEndpoint: Registering block manager localhost:36228 with 534.5 MB RAM, BlockManagerId(driver, localhost, 36228) 37 18/04/23 04:11:25 INFO BlockManagerMaster: Registered BlockManager 38 18/04/23 04:11:26 INFO EventLoggingListener: Logging events to hdfs://slaver1:9000/spark/history/local-1524471084719.snappy 39 18/04/23 04:11:28 INFO ReceiverTracker: Starting 1 receivers 40 18/04/23 04:11:28 INFO ReceiverTracker: ReceiverTracker started 41 18/04/23 04:11:28 INFO ForEachDStream: metadataCleanupDelay = -1 42 18/04/23 04:11:28 INFO ShuffledDStream: metadataCleanupDelay = -1 43 18/04/23 04:11:28 INFO MappedDStream: metadataCleanupDelay = -1 44 18/04/23 04:11:28 INFO FlatMappedDStream: metadataCleanupDelay = -1 45 18/04/23 04:11:28 INFO SocketInputDStream: metadataCleanupDelay = -1 46 18/04/23 04:11:28 INFO SocketInputDStream: Slide time = 1000 ms 47 18/04/23 04:11:28 INFO SocketInputDStream: Storage level = StorageLevel(false, false, false, false, 1) 48 18/04/23 04:11:28 INFO SocketInputDStream: Checkpoint interval = null 49 18/04/23 04:11:28 INFO SocketInputDStream: Remember duration = 1000 ms 50 18/04/23 04:11:28 INFO SocketInputDStream: Initialized and validated org.apache.spark.streaming.dstream.SocketInputDStream@29e21cd6 51 18/04/23 04:11:28 INFO FlatMappedDStream: Slide time = 1000 ms 52 18/04/23 04:11:28 INFO FlatMappedDStream: Storage level = StorageLevel(false, false, false, false, 1) 53 18/04/23 04:11:28 INFO FlatMappedDStream: Checkpoint interval = null 54 18/04/23 04:11:28 INFO FlatMappedDStream: Remember duration = 1000 ms 55 18/04/23 04:11:28 INFO FlatMappedDStream: Initialized and validated org.apache.spark.streaming.dstream.FlatMappedDStream@3bd33b15 56 18/04/23 04:11:28 INFO MappedDStream: Slide time = 1000 ms 57 18/04/23 04:11:28 INFO MappedDStream: Storage level = StorageLevel(false, false, false, false, 1) 58 18/04/23 04:11:28 INFO MappedDStream: Checkpoint interval = null 59 18/04/23 04:11:28 INFO MappedDStream: Remember duration = 1000 ms 60 18/04/23 04:11:28 INFO MappedDStream: Initialized and validated org.apache.spark.streaming.dstream.MappedDStream@28cbfe62 61 18/04/23 04:11:28 INFO ShuffledDStream: Slide time = 1000 ms 62 18/04/23 04:11:28 INFO ShuffledDStream: Storage level = StorageLevel(false, false, false, false, 1) 63 18/04/23 04:11:28 INFO ShuffledDStream: Checkpoint interval = null 64 18/04/23 04:11:28 INFO ShuffledDStream: Remember duration = 1000 ms 65 18/04/23 04:11:28 INFO ShuffledDStream: Initialized and validated org.apache.spark.streaming.dstream.ShuffledDStream@68a9e8da 66 18/04/23 04:11:28 INFO ForEachDStream: Slide time = 1000 ms 67 18/04/23 04:11:28 INFO ForEachDStream: Storage level = StorageLevel(false, false, false, false, 1) 68 18/04/23 04:11:28 INFO ForEachDStream: Checkpoint interval = null 69 18/04/23 04:11:28 INFO ForEachDStream: Remember duration = 1000 ms 70 18/04/23 04:11:28 INFO ForEachDStream: Initialized and validated org.apache.spark.streaming.dstream.ForEachDStream@6af675e4 71 18/04/23 04:11:28 INFO RecurringTimer: Started timer for JobGenerator at time 1524471089000 72 18/04/23 04:11:28 INFO JobGenerator: Started JobGenerator at 1524471089000 ms 73 18/04/23 04:11:28 INFO JobScheduler: Started JobScheduler 74 18/04/23 04:11:28 INFO StreamingContext: StreamingContext started 75 18/04/23 04:11:28 INFO ReceiverTracker: Receiver 0 started 76 18/04/23 04:11:29 INFO DAGScheduler: Got job 0 (start at NetworkWordCount.scala:57) with 1 output partitions 77 18/04/23 04:11:29 INFO DAGScheduler: Final stage: ResultStage 0(start at NetworkWordCount.scala:57) 78 18/04/23 04:11:29 INFO DAGScheduler: Parents of final stage: List() 79 18/04/23 04:11:29 INFO DAGScheduler: Missing parents: List() 80 18/04/23 04:11:29 INFO DAGScheduler: Submitting ResultStage 0 (Receiver 0 ParallelCollectionRDD[0] at makeRDD at ReceiverTracker.scala:554), which has no missing parents 81 18/04/23 04:11:29 INFO JobScheduler: Added jobs for time 1524471089000 ms 82 18/04/23 04:11:29 INFO JobScheduler: Starting job streaming job 1524471089000 ms.0 from job set of time 1524471089000 ms 83 18/04/23 04:11:29 INFO SparkContext: Starting job: print at NetworkWordCount.scala:56 84 18/04/23 04:11:29 INFO MemoryStore: ensureFreeSpace(55336) called with curMem=0, maxMem=560497950 85 18/04/23 04:11:29 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 54.0 KB, free 534.5 MB) 86 18/04/23 04:11:29 INFO MemoryStore: ensureFreeSpace(18523) called with curMem=55336, maxMem=560497950 87 18/04/23 04:11:29 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 18.1 KB, free 534.5 MB) 88 18/04/23 04:11:29 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:36228 (size: 18.1 KB, free: 534.5 MB) 89 18/04/23 04:11:29 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:861 90 18/04/23 04:11:29 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (Receiver 0 ParallelCollectionRDD[0] at makeRDD at ReceiverTracker.scala:554) 91 18/04/23 04:11:29 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks 92 18/04/23 04:11:30 INFO JobScheduler: Added jobs for time 1524471090000 ms 93 18/04/23 04:11:30 INFO DAGScheduler: Registering RDD 3 (map at NetworkWordCount.scala:55) 94 18/04/23 04:11:30 INFO DAGScheduler: Got job 1 (print at NetworkWordCount.scala:56) with 1 output partitions 95 18/04/23 04:11:30 INFO DAGScheduler: Final stage: ResultStage 2(print at NetworkWordCount.scala:56) 96 18/04/23 04:11:30 INFO DAGScheduler: Parents of final stage: List(ShuffleMapStage 1) 97 18/04/23 04:11:30 INFO DAGScheduler: Missing parents: List() 98 18/04/23 04:11:30 INFO DAGScheduler: Submitting ResultStage 2 (ShuffledRDD[4] at reduceByKey at NetworkWordCount.scala:55), which has no missing parents 99 18/04/23 04:11:30 INFO MemoryStore: ensureFreeSpace(2360) called with curMem=73859, maxMem=560497950 100 18/04/23 04:11:30 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 2.3 KB, free 534.5 MB) 101 18/04/23 04:11:30 INFO MemoryStore: ensureFreeSpace(1440) called with curMem=76219, maxMem=560497950 102 18/04/23 04:11:30 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 1440.0 B, free 534.5 MB) 103 18/04/23 04:11:30 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on localhost:36228 (size: 1440.0 B, free: 534.5 MB) 104 18/04/23 04:11:30 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:861 105 18/04/23 04:11:30 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 2 (ShuffledRDD[4] at reduceByKey at NetworkWordCount.scala:55) 106 18/04/23 04:11:30 INFO TaskSchedulerImpl: Adding task set 2.0 with 1 tasks 107 18/04/23 04:11:30 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, ANY, 2721 bytes) 108 18/04/23 04:11:30 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) 109 18/04/23 04:11:30 INFO Executor: Fetching http://192.168.19.131:55775/jars/spark-examples-1.5.1-hadoop2.4.0.jar with timestamp 1524471084606 110 18/04/23 04:11:30 INFO Utils: Fetching http://192.168.19.131:55775/jars/spark-examples-1.5.1-hadoop2.4.0.jar to /tmp/spark-b6aec1ea-9a70-4814-b1f8-e752c27b9cee/userFiles-63aba9cd-16f7-4843-81b6-ec48b9b6df67/fetchFileTemp3110460484590096544.tmp 111 18/04/23 04:11:31 INFO JobScheduler: Added jobs for time 1524471091000 ms 112 18/04/23 04:11:31 INFO Executor: Adding file:/tmp/spark-b6aec1ea-9a70-4814-b1f8-e752c27b9cee/userFiles-63aba9cd-16f7-4843-81b6-ec48b9b6df67/spark-examples-1.5.1-hadoop2.4.0.jar to class loader 113 18/04/23 04:11:31 INFO RecurringTimer: Started timer for BlockGenerator at time 1524471091600 114 18/04/23 04:11:31 INFO BlockGenerator: Started BlockGenerator 115 18/04/23 04:11:31 INFO BlockGenerator: Started block pushing thread 116 18/04/23 04:11:31 INFO ReceiverTracker: Registered receiver for stream 0 from 192.168.19.131:48823 117 18/04/23 04:11:31 INFO ReceiverSupervisorImpl: Starting receiver 118 18/04/23 04:11:31 INFO ReceiverSupervisorImpl: Called receiver onStart 119 18/04/23 04:11:31 INFO ReceiverSupervisorImpl: Waiting for receiver to be stopped 120 18/04/23 04:11:31 INFO SocketReceiver: Connecting to slaver1:9999 121 18/04/23 04:11:31 INFO SocketReceiver: Connected to slaver1:9999 122 18/04/23 04:11:32 INFO JobScheduler: Added jobs for time 1524471092000 ms 123 18/04/23 04:11:33 INFO JobScheduler: Added jobs for time 1524471093000 ms 124 18/04/23 04:11:34 INFO JobScheduler: Added jobs for time 1524471094000 ms 125 18/04/23 04:11:35 INFO JobScheduler: Added jobs for time 1524471095000 ms 126 18/04/23 04:11:36 INFO JobScheduler: Added jobs for time 1524471096000 ms 127 18/04/23 04:11:37 INFO JobScheduler: Added jobs for time 1524471097000 ms 128 18/04/23 04:11:38 INFO JobScheduler: Added jobs for time 1524471098000 ms 129 18/04/23 04:11:39 INFO JobScheduler: Added jobs for time 1524471099000 ms 130 18/04/23 04:11:40 INFO JobScheduler: Added jobs for time 1524471100000 ms 131 18/04/23 04:11:41 INFO JobScheduler: Added jobs for time 1524471101000 ms 132 18/04/23 04:11:42 INFO JobScheduler: Added jobs for time 1524471102000 ms 133 18/04/23 04:11:43 INFO JobScheduler: Added jobs for time 1524471103000 ms 134 18/04/23 04:11:44 INFO JobScheduler: Added jobs for time 1524471104000 ms 135 18/04/23 04:11:45 INFO JobScheduler: Added jobs for time 1524471105000 ms 136 18/04/23 04:11:46 INFO JobScheduler: Added jobs for time 1524471106000 ms 137 18/04/23 04:11:47 INFO JobScheduler: Added jobs for time 1524471107000 ms 138 ^A18/04/23 04:11:48 INFO JobScheduler: Added jobs for time 1524471108000 ms 139 18/04/23 04:11:49 INFO JobScheduler: Added jobs for time 1524471109000 ms 140 18/04/23 04:11:50 INFO JobScheduler: Added jobs for time 1524471110000 ms 141 18/04/23 04:11:51 INFO JobScheduler: Added jobs for time 1524471111000 ms 142 18/04/23 04:11:52 INFO JobScheduler: Added jobs for time 1524471112000 ms 143 18/04/23 04:11:53 INFO JobScheduler: Added jobs for time 1524471113000 ms
2、启动过程如上所示，下面就是问题，当在nc -lk 9999命令窗口，输入例如hello world hello world hadoop world spark world flume world hello world的字符的时候，另一个窗口执行如下命令[hadoop@slaver1 spark-1.5.1-bin-hadoop2.4]$ ./bin/run-example streaming.NetworkWordCount 192.168.19.131 9999 ，以后出现这样的错误：
18/04/23 04:12:25 INFO MemoryStore: ensureFreeSpace(79) called with curMem=77659, maxMem=560497950 18/04/23 04:12:25 INFO MemoryStore: Block input-0-1524471145600 stored as bytes in memory (estimated size 79.0 B, free 534.5 MB) 18/04/23 04:12:25 INFO BlockManagerInfo: Added input-0-1524471145600 in memory on localhost:36228 (size: 79.0 B, free: 534.5 MB) 18/04/23 04:12:25 INFO BlockGenerator: Pushed block input-0-1524471145600
3、解决方法，将你的虚拟机核数修改位多核，再次执行，可以看到统计的数量：修改为2核执行速度已经很快了，开始我的内存是1G，后来添加到2G还是解决不了问题，把核数修改为2核，解决问题：
再次执行结果如下所示：
