写入分区表时为什么会显示“文件只能复制到0个节点”?

时间:2018-12-28 13:28:33

标签: sql hive hiveql partitioning hortonworks-sandbox

我在Hive中使用分区创建了一个外部表,然后尝试从现有表中填充它,但是,我遇到以下异常:

Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /apps/hive/warehouse/pavel.db/browserdatapart/.hive-staging_hive_2018-12-28_13-22-45_751_6056004898772238481-1/_task_tmp.-ext-10000/cityid=1/_tmp.000001_3 could only be replicated to 0 nodes instead of minReplication (=1).  There are 1 datanode(s) running and no node(s) are excluded in this operation.
    at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1719)
    at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNewBlockTargets(FSNamesystem.java:3372)
    at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3296)
    at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:850)
    at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:504)
    at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:640)
    at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:982)
    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2351)
    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2347)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1869)
    at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2347)

    at org.apache.hadoop.hive.ql.exec.FileSinkOperator.process(FileSinkOperator.java:814)
    at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:841)
    at org.apache.hadoop.hive.ql.exec.SelectOperator.process(SelectOperator.java:88)
    at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:841)
    at org.apache.hadoop.hive.ql.exec.TableScanOperator.process(TableScanOperator.java:133)
    at org.apache.hadoop.hive.ql.exec.MapOperator$MapOpCtx.forward(MapOperator.java:170)
    at org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:555)
    ... 18 more
Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /apps/hive/warehouse/pavel.db/browserdatapart/.hive-staging_hive_2018-12-28_13-22-45_751_6056004898772238481-1/_task_tmp.-ext-10000/cityid=1/_tmp.000001_3 could only be replicated to 0 nodes instead of minReplication (=1).  There are 1 datanode(s) running and no node(s) are excluded in this operation.
    at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1719)
    at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNewBlockTargets(FSNamesystem.java:3372)
    at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3296)
    at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:850)
    at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:504)
    at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:640)
    at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:982)
    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2351)
    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2347)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1869)
    at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2347)

    at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1554)
    at org.apache.hadoop.ipc.Client.call(Client.java:1498)
    at org.apache.hadoop.ipc.Client.call(Client.java:1398)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:233)
    at com.sun.proxy.$Proxy11.addBlock(Unknown Source)
    at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:459)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:290)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:202)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:184)
    at com.sun.proxy.$Proxy12.addBlock(Unknown Source)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:1580)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1375)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:

根据互联网,当datanode无法与namenode通信或内存不足时,会发生这些异常,但是在我看来,这一切都很好。我已经尝试过格式化我的namenode和datanode。还有什么问题?

https://wiki.apache.org/hadoop/CouldOnlyBeReplicatedTo我也读过这篇。而且对我没有帮助。

我正在tez上跑步。可行:

insert into table browserdatapart partition(cityid) select UserAgent,cityid from browserdata limit 100;

并且由于我提供的异常而失败:

insert into table browserdatapart partition(cityid) select UserAgent,cityid from browserdata;

1 个答案:

答案 0 :(得分:1)

SET hive.exec.max.dynamic.partitions=100000; 
SET hive.exec.max.dynamic.partitions.pernode=100000;

设置上面的参数对我来说解决了。我猜蜂巢无法将数据复制到异常中出现的那些分区,因为存在的数量超过了最大值(在我的数据集中为224)。