Hi All, The variable I need to broadcast is just 468 MB. When broadcasting, it just “stop” at here:
* 15/05/20 11:36:14 INFO Configuration.deprecation: mapred.tip.id is deprecated. Instead, use mapreduce.task.id 15/05/20 11:36:14 INFO Configuration.deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id 15/05/20 11:36:14 INFO Configuration.deprecation: mapred.task.is.map is deprecated. Instead, use mapreduce.task.ismap 15/05/20 11:36:14 INFO Configuration.deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition 15/05/20 11:36:14 INFO Configuration.deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id 15/05/20 11:36:14 INFO mapred.FileInputFormat: Total input paths to process : 1 15/05/20 11:36:14 INFO spark.SparkContext: Starting job: saveAsTextFile at Test1.java:90 15/05/20 11:36:15 INFO scheduler.DAGScheduler: Got job 0 (saveAsTextFile at Test1.java:90) with 4 output partitions (allowLocal=false) 15/05/20 11:36:15 INFO scheduler.DAGScheduler: Final stage: Stage 0(saveAsTextFile at Test1.java:90) 15/05/20 11:36:15 INFO scheduler.DAGScheduler: Parents of final stage: List() 15/05/20 11:36:15 INFO scheduler.DAGScheduler: Missing parents: List() 15/05/20 11:36:15 INFO scheduler.DAGScheduler: Submitting Stage 0 (MapPartitionsRDD[3] at saveAsTextFile at Test1.java:90), which has no missing parents 15/05/20 11:36:15 INFO storage.MemoryStore: ensureFreeSpace(129264) called with curMem=988453294, maxMem=2061647216 15/05/20 11:36:15 INFO storage.MemoryStore: Block broadcast_2 stored as values in memory (estimated size 126.2 KB, free 1023.4 MB) 15/05/20 11:36:15 INFO storage.MemoryStore: ensureFreeSpace(78190) called with curMem=988582558, maxMem=2061647216 15/05/20 11:36:15 INFO storage.MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 76.4 KB, free 1023.3 MB) 15/05/20 11:36:15 INFO storage.BlockManagerInfo: Added broadcast_2_piece0 in memory on HadoopV26Master:44855 (size: 76.4 KB, free: 1492.4 MB) 15/05/20 11:36:15 INFO storage.BlockManagerMaster: Updated info of block broadcast_2_piece0 15/05/20 11:36:15 INFO spark.SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:839 15/05/20 11:36:15 INFO scheduler.DAGScheduler: Submitting 4 missing tasks from Stage 0 (MapPartitionsRDD[3] at saveAsTextFile at Test1.java:90) 15/05/20 11:36:15 INFO scheduler.TaskSchedulerImpl: Adding task set 0.0 with 4 tasks 15/05/20 11:36:15 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, HadoopV26Slave5, NODE_LOCAL, 1387 bytes) 15/05/20 11:36:15 INFO scheduler.TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, HadoopV26Slave3, NODE_LOCAL, 1387 bytes) 15/05/20 11:36:15 INFO scheduler.TaskSetManager: Starting task 2.0 in stage 0.0 (TID 2, HadoopV26Slave4, NODE_LOCAL, 1387 bytes) 15/05/20 11:36:15 INFO scheduler.TaskSetManager: Starting task 3.0 in stage 0.0 (TID 3, HadoopV26Slave1, NODE_LOCAL, 1387 bytes) 15/05/20 11:36:15 INFO storage.BlockManagerInfo: Added broadcast_2_piece0 in memory on HadoopV26Slave5:45357 (size: 76.4 KB, free: 2.1 GB) 15/05/20 11:36:15 INFO storage.BlockManagerInfo: Added broadcast_2_piece0 in memory on HadoopV26Slave3:57821 (size: 76.4 KB, free: 2.1 GB) ……. 15/05/20 11:36:28 INFO storage.BlockManagerInfo: Added broadcast_1_piece1 in memory on HadoopV26Slave5:45357 (size: 4.0 MB, free: 1646.3 MB) * And didn’t go forward as I still waiting, basically not stop, but more like stuck. I have 6 workers/VMs: each of them has 8GB memory and 12GB disk storage. After a few mins pass, the program stopped and showed something like this: 15/05/20 11:42:45 WARN scheduler.TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, HadoopV26Slave3): org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/output/_temporary/0/_temporary/attempt_201505201136_0000_m_000001_1/part-00001 could only be replicated to 0 nodes instead of minReplication (=1). There are 6 datanode(s) running and no node(s) are excluded in this operation. at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1549) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3200) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:641) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:482) at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:619) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:962) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2039) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2035) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2033) at org.apache.hadoop.ipc.Client.call(Client.java:1468) at org.apache.hadoop.ipc.Client.call(Client.java:1399) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:232) at com.sun.proxy.$Proxy13.addBlock(Unknown Source) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:399) at sun.reflect.GeneratedMethodAccessor7.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102) at com.sun.proxy.$Proxy14.addBlock(Unknown Source) at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:1532) at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1349) at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:588) And then I check the volume of each slave, seems that almost all the storage has been dominated. But the variable I broadcast is just 468MB. Originally it is saved in HDFS. And In java program I read it from hdfs and then broadcast that variable. Anyone can help? Really thanks. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/java-program-Get-Stuck-at-broadcasting-tp22953.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org