无法在配置单元中创建分区

时间:2016-08-09 12:35:02

标签: hadoop hive hiveql apache-hive

我无法从hive中已经存在的表中将分区创建到新表中。

创建表后我在hive上运行的查询是

INSERT INTO TABLE ba_data.PNR_INFO1_partitioned PARTITION(pnr_create_dt) select * from pnr_info1_external;

我得到的错误是

    Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/hive/warehouse/ba_data.db/pnr_info1_partitioned/.hive-staging_hive_2016-08-09_17-47-47_508_8688474345886508021-1/_task_tmp.-ext-10002/pnr_create_dt=18%2F12%2F2013/_tmp.000000_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: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$Invoker.invoke(ProtobufRpcEngine.java:232)
        at com.sun.proxy.$Proxy12.addBlock(Unknown Source)
        at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:399)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        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.$Proxy13.addBlock(Unknown Source)
        at org.apache.hadoop.hdfs.DFSOutputStream$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)

在我浏览并发现namenode之后,需要删除datanode文件夹并且应该格式化namenode。我也做了那个卫生任务。但是我仍然遇到同样的错误。

此外,我已将复制因子设置为1,并且所有Hadoop进程都运行良好。

请建议我如何处理以摆脱这个问题。非常感谢您的建议。

2 个答案:

答案 0 :(得分:0)

perform partitioned in value首先需要创建 1.所有领域的表格 2.将数据加载到表中 3.使用分区列创建包含其类型的表 4.将数据从第一个表复制到分区表

this image show how to create table ,load ,create partitoned and copy data from  table to partitioned table

答案 1 :(得分:0)

我认为需要启用动态分区。以下作品。     设置hive.exec.dynamic.partition.mode = nonstrict;

create table parttable (id int) partitioned by (partcolumn string) 
row format delimited fields terminated by '\t'
lines terminated by '\n'
;

create table source_table (id int,partcolumn string)
row format delimited fields terminated by '\t'
lines terminated by '\n'
;

insert into source_table values (1,'Chicago');
insert into source_table values (2,'Chicago');
insert into source_table values (3,'Orlando');

设置hive.exec.dynamic.partition = true;    insert overwrite table parttable partition(partcolumn)    从source_table中选择id,partcolumn;