Spark:将大文件写入HDFS时不允许自抑制

t9eec4r0  于 2023-01-13  发布在  Apache
关注(0)|答案(2)|浏览(125)

我正在使用spark将一个大文件写入HDFS。基本上我所做的是连接3个大文件,然后使用toJSON()将结果 Dataframe 转换为json,然后使用saveAsTextFile将其保存到HDFS。要写入的最后文件大约为4TB。应用程序运行非常慢(正如我所料?),6小时后抛出异常java.lang.IllegalArgumentException:不允许自抑制。详细的失败原因已从监视页复制到下面:

Job aborted due to stage failure: Task 37 in stage 6.0 failed 4 times, most recent failure: Lost task 37.3 in stage 6.0 (TID 361, 192.168.10.149): java.lang.IllegalArgumentException: Self-suppression not permitted
at java.lang.Throwable.addSuppressed(Throwable.java:1043)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1219)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1116)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1095)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/dawei/upid_json_all/_temporary/0/_temporary/attempt_201512210857_0006_m_000037_361/part-00037 could only be replicated to 0 nodes instead of minReplication (=1).  There are 5 datanode(s) running and no node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1562)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3245)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:663)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:482)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$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$1.run(Server.java:2040)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2036)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1656)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2034)

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$Invoker.invoke(ProtobufRpcEngine.java:232)
at com.sun.proxy.$Proxy14.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:399)
at sun.reflect.GeneratedMethodAccessor119.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
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.$Proxy15.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.DFSOutputStream$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)

Driver stacktrace:

谁能告诉我是什么原因造成这个问题,我怎样才能解决它?

pw9qyyiw

pw9qyyiw1#

从此错误中:

Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File 
/user/dawei/upid_json_all/_temporary/0/_temporary/attempt_201512210857_0006_m_000037_361/
part-00037 could only be replicated to 0 nodes instead of minReplication (=1).
There are 5 datanode(s) running and no node(s) are excluded in this operation.

似乎没有发生复制。如果您修复此错误,事情可能会恢复正常。
可能是由于以下问题:
1.* 数据节点不一致 :重新启动Hadoop群集,看看这是否能解决问题
1.
数据节点和名称节点之间的通信 网络连接问题 * 以及与端口可访问性相关的权限/防火墙访问问题。
1.* datanode上的磁盘空间可能已满 *
1.* 数据阳极可能忙碌或无响应 *
1.* 无效配置 * 如负数据块大小配置
请看一下与此主题相关的SE问题。
HDFS error: could only be replicated to 0 nodes, instead of 1

13z8s7eq

13z8s7eq2#

实际的错误可能隐藏在这个奇怪的“自我抑制”错误后面。
当你在Yarn日志中看不到任何线索时,检查一次Spark UI。你会在那里看到一些阶段故障的线索。
它更可能是一些内存溢出或类似的东西。

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