前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >INFO JobScheduler: Added jobs for time 1524468752000 ms/INFO MemoryStore: Block input-0-152446914300

INFO JobScheduler: Added jobs for time 1524468752000 ms/INFO MemoryStore: Block input-0-152446914300

作者头像
别先生
发布2018-05-16 15:01:49
1.4K0
发布2018-05-16 15:01:49
举报
文章被收录于专栏:别先生别先生

1、完全分布式  ./bin/run-example streaming.NetworkWordCount localhost 9999无法正常运行:

代码语言:javascript
复制
  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://sparkDriver@192.168.19.131:48823]
 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:

代码语言:javascript
复制
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:

本文参与 腾讯云自媒体分享计划,分享自作者个人站点/博客。
原始发表:2018-04-23 ,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体分享计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档