hive導入動態分區：錯誤：could only be replicated to 0 nodes, instead of 1

insert overwrite table default.`table` partition(part)
select t.*,t.detailid AS part from default.`table` t limit 10 ;

這個表有4000多萬數據

異常：

Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/hadoop/dynamic/.hive-staging_hive_2021-04-28_10-54-00_523_4426014102702927767-1/_task_tmp.-ext-10000/part=96307/_tmp.000012_3 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:1731)
	at org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.chooseTargetForNewBlock(FSDirWriteFileOp.java:265)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2567)
	at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:829)
	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:510)
	at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
	at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:447)
	at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:989)
	at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:850)
	at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:793)
	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:1844)
	at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2489)

 

發現磁盤好像快滿了。

改成導入1000萬條成功

 

http://wenda.chinahadoop.cn/question/3964

https://blog.csdn.net/zhongxiayimeng/article/details/73188511?utm_medium=distribute.pc_relevant_download.none-task-blog-baidujs-1.nonecase&depth_1-utm_source=distribute.pc_relevant_download.none-task-blog-baidujs-1.nonecase