java-[HIVE]中的insert into操作为什么非常慢—

[HIVE]中的insert into操作为什么非常慢

例如如下语句

 insert into table1 partition(xxx=xxx) select * from table2

即使数据只有两三条，也要2分钟，这是为什么？

编辑于：2018.06.22 05:54 发布于：2018.06.20 09:59

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: 你好杰米

声望： 82

3个回答

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你可以这样查看hive的执行计划：

     > explain insert into t2 select value from t;
OK
Plan optimized by CBO.

Stage-3
  Stats-Aggr Operator
    Stage-0
      Move Operator
        table:{"name:":"default.t2"}
        Stage-2
          Dependency Collection{}
            Stage-1
              Map 1
              File Output Operator [FS_2]
                table:{"name:":"default.t2"}
                Select Operator [SEL_1] (rows=3 width=1)
                  Output:["_col0"]
                  TableScan [TS_0] (rows=3 width=1)
                    default@t,t,Tbl:COMPLETE,Col:NONE,Output:["value"]

Hive的执行要转化成若干步map-reduce的过程，而且可能要在多个节点间通信，所以即便很少的数据可能也是费了半天劲才执行出来的。就是说hive是为了处理大数据的，对于小数据的处理并不是优势。

发布于：2018.06.21 01:54

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| 已采纳

: 书香门第

声望： 116

看下这个 https://blog.csdn.net/sysmedia/article/details/54948469

发布于：2018.06.20 15:07

评论 0 |

: 见了你女王大人喵姐还不跪下

声望： 109098

hive不支持用insert语句一条一条的进行插入操作，也不支持update操作。数据是以load的方式加载到建立好的表中，数据一旦导入就不可以修改

发布于：2018.06.20 14:11

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: 六月的星星

声望： 33

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There are 0 datanode(s) running and no node(s) are excluded in this operation. at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1814) at org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.chooseTargetForNewBlock(FSDirWriteFileOp.java:265) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2569) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:846) 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$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:503) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:989) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:871) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:817) 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:1893) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2606) at org.apache.hadoop.hive.ql.exec.Utilities.setBaseWork(Utilities.java:624) at org.apache.hadoop.hive.ql.exec.Utilities.setMapWork(Utilities.java:549) at org.apache.hadoop.hive.ql.exec.Utilities.setMapRedWork(Utilities.java:541) at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:350) at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:151) at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:199) at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:100) at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:2183) at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1839) at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1526) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1237) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1227) at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:233) at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:184) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:403) at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:821) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:759) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:686) 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.util.RunJar.run(RunJar.java:244) at org.apache.hadoop.util.RunJar.main(RunJar.java:158) Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /tmp/hive/root/998d79c6-e750-4680-a08d-efc1714952ef/hive_2019-04-13_23-02-14_924_6242126447268871177-1/-mr-10004/b7f8c78b-2559-4e30-b053-ae37b4f49a05/map.xml could only be replicated to 0 nodes instead of minReplication (=1). There are 0 datanode(s) running and no node(s) are excluded in this operation. at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1814) at org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.chooseTargetForNewBlock(FSDirWriteFileOp.java:265) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2569) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:846) 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$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:503) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:989) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:871) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:817) 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:1893) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2606) at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1507) at org.apache.hadoop.ipc.Client.call(Client.java:1453) at org.apache.hadoop.ipc.Client.call(Client.java:1363) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:227) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116) at com.sun.proxy.$Proxy29.addBlock(Unknown Source) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:444) 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:422) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359) at com.sun.proxy.$Proxy30.addBlock(Unknown Source) at org.apache.hadoop.hdfs.DataStreamer.locateFollowingBlock(DataStreamer.java:1845) at org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1645) at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:710) Job Submission failed with exception 'java.lang.RuntimeException(Error caching map.xml: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /tmp/hive/root/998d79c6-e750-4680-a08d-efc1714952ef/hive_2019-04-13_23-02-14_924_6242126447268871177-1/-mr-10004/b7f8c78b-2559-4e30-b053-ae37b4f49a05/map.xml could only be replicated to 0 nodes instead of minReplication (=1). There are 0 datanode(s) running and no node(s) are excluded in this operation. at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1814) at org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.chooseTargetForNewBlock(FSDirWriteFileOp.java:265) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2569) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:846) 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$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:503) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:989) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:871) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:817) 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:1893) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2606) )' FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask. Error caching map.xml: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /tmp/hive/root/998d79c6-e750-4680-a08d-efc1714952ef/hive_2019-04-13_23-02-14_924_6242126447268871177-1/-mr-10004/b7f8c78b-2559-4e30-b053-ae37b4f49a05/map.xml could only be replicated to 0 nodes instead of minReplication (=1). There are 0 datanode(s) running and no node(s) are excluded in this operation. at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1814) at org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.chooseTargetForNewBlock(FSDirWriteFileOp.java:265) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2569) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:846) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:510) at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:503) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:989) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:871) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:817) 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:1893) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2606)

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python3.6如何返回Hive HQL语句执行结果影响的行数？: 功能需求是cursor.execute（HQL）后获取Hive执行结果影响的数据行。 HQL语句类型主要为：1、INSERT INTO TABLE AS SELECT...FROM..；2、CREATE TABLE AS SELECT... FROM... 已知在Pyhon3.6+MySQL环境下，由cursor.execute(HQL）、cursor.rownumber、cursor.rowcount函数可以正确获取数据库语句的执行结果影响的行数，但在Hive上测试失败。寻求解决方案。使用过的测试伪码如下： ``` def exec_sql(cursor,SQL): try: print('cursor.execute(SQL) ==',cursor.execute(SQL)) for row in cursor: # == cursor.fetchall() print(row) print('cursor.rownumber ==',cursor.rownumber) print('cursor.rowcount ==',cursor.rowcount) except: cursor.close conn.close # 程序主体 SQL_select = 'select col,col2 from tb2_name limit 100' SQL_create = 'create table tb_name(column,colunm2) as '+ HQL_select SQL_insert = 'insert into table tb_name(colunm1,colunm2)'+ HQL_select import pymysql.cursors cursor = pymysql.Connect(host = '..',port=10010,user='..',password='..',database='..').cursor() exec_sql(cursor,SQL_select) # cursor.execute(SQL) == 100 # cursor.rownumber == 100 # cursor.rowcount == 100 exec_sql(cursor,SQL_insert) # cursor.execute(SQL) == 100 # cursor.rownumber == 100 # cursor.rowcount == 100 exec_sql(cursor,SQL_create) # cursor.execute(SQL) == 100 # cursor.rownumber == 100 # cursor.rowcount == 100 from pyhive import Hive cursor = hive.Connect(host='..', port=3306, user='..', password='..', database='..').cursor() exec_sql(cursor,SQL_select) # cursor.execute(SQL) == None # cursor.rownumber == 100 # cursor.rowcount == -1 exec_sql(cursor,SQL_insert) # cursor.execute(SQL) == None # cursor.rownumber == except # cursor.rowcount == -1 exec_sql(cursor,SQL_create) # cursor.execute(SQL) == None # cursor.rownumber == except # cursor.rowcount == -1 ```

hive运行insert语句在on yarn的情况下报错，开启本地模式后就好了，报错如下：: ``` hive> insert into test values('B',2); Query ID = root_20191114105642_8cc05952-0497-4eff-893e-af6de8f05c6e Total jobs = 3 Launching Job 1 out of 3 Number of reduce tasks is set to 0 since there's no reduce operator 19/11/14 10:56:43 INFO client.RMProxy: Connecting to ResourceManager at cloudera/37.64.0.71:8032 19/11/14 10:56:43 INFO client.RMProxy: Connecting to ResourceManager at cloudera/37.64.0.71:8032 java.io.IOException: org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) 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:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:345) at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:251) at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1570) at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1567) 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:1875) at org.apache.hadoop.mapreduce.Job.submit(Job.java:1567) at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:576) at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:571) 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:1875) at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:571) at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:562) at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:444) at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:151) at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:199) at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:97) at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:2200) at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1843) at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1563) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1339) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1328) at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:239) at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:187) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:409) at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:836) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:772) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:699) 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.util.RunJar.run(RunJar.java:313) at org.apache.hadoop.util.RunJar.main(RunJar.java:227) Caused by: org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) 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:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) at org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53) at org.apache.hadoop.yarn.ipc.RPCUtil.instantiateYarnException(RPCUtil.java:75) at org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:116) at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.submitApplication(ApplicationClientProtocolPBClientImpl.java:284) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359) at com.sun.proxy.$Proxy43.submitApplication(Unknown Source) at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.submitApplication(YarnClientImpl.java:290) at org.apache.hadoop.mapred.ResourceMgrDelegate.submitApplication(ResourceMgrDelegate.java:297) at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:330) ... 35 more Caused by: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException): Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) 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:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1499) at org.apache.hadoop.ipc.Client.call(Client.java:1445) at org.apache.hadoop.ipc.Client.call(Client.java:1355) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:228) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116) at com.sun.proxy.$Proxy42.submitApplication(Unknown Source) at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.submitApplication(ApplicationClientProtocolPBClientImpl.java:281) ... 48 more Job Submission failed with exception 'java.io.IOException(org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) 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:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) )' FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask. org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) 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:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) ``` # 内存最大只有6G，他非要申请15G，这个问题该如何处理， # 求助各位大佬！！！

sparkSql使用insert、create table tablename as select 。。。会报一个错，查了很久都没有查到原因。: 我在spark的bin下，使用spark-sql。可以查阅hive库。 show databases; show tables; select * from tablename; drop table tablename; 但是一旦使用insert、create就会报错。日志如下，有没有大牛答疑解惑呢？ ``` > > > create table bak as select * from dm_bi_org_cfg; 18/10/20 15:31:53 ERROR Utils: Aborting task org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249) at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:123) at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:305) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) Caused by: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at java.lang.Enum.valueOf(Enum.java:238) at org.apache.hadoop.io.SequenceFile$CompressionType.valueOf(SequenceFile.java:220) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:242) ... 16 more 18/10/20 15:31:53 WARN FileOutputCommitter: Could not delete hdfs://master.datavip.ezhiyang.com:8020/user/hive/warehouse/bi_dm.db/bak/.hive-staging_hive_2018-10-20_15-31-53_518_4175343188146321007-1/-ext-10000/_temporary/0/_temporary/attempt_20181020153153_0003_m_000000_0 18/10/20 15:31:53 ERROR FileFormatWriter: Job job_20181020153153_0003 aborted. 18/10/20 15:31:53 ERROR Executor: Exception in task 0.0 in stage 3.0 (TID 3) org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249) at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:123) at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:305) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) ... 8 more Caused by: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at java.lang.Enum.valueOf(Enum.java:238) at org.apache.hadoop.io.SequenceFile$CompressionType.valueOf(SequenceFile.java:220) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:242) ... 16 more 18/10/20 15:31:53 WARN TaskSetManager: Lost task 0.0 in stage 3.0 (TID 3, localhost, executor driver): org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) 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:748) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249) at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:123) at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:305) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) ... 8 more Caused by: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at java.lang.Enum.valueOf(Enum.java:238) at org.apache.hadoop.io.SequenceFile$CompressionType.valueOf(SequenceFile.java:220) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:242) ... 16 more 18/10/20 15:31:53 ERROR TaskSetManager: Task 0 in stage 3.0 failed 1 times; aborting job 18/10/20 15:31:53 ERROR FileFormatWriter: Aborting job null. org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 3, localhost, executor driver): org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249) at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:123) at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:305) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) ... 8 more Caused by: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at java.lang.Enum.valueOf(Enum.java:238) at org.apache.hadoop.io.SequenceFile$CompressionType.valueOf(SequenceFile.java:220) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:242) ... 16 more Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:188) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:173) at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.run(InsertIntoHiveTable.scala:317) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:138) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:92) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:92) at org.apache.spark.sql.hive.execution.CreateHiveTableAsSelectCommand.run(CreateHiveTableAsSelectCommand.scala:81) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:67) at org.apache.spark.sql.Dataset.<init>(Dataset.scala:182) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:67) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:623) at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:691) at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:340) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:248) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:755) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249) at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:123) at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:305) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) ... 8 more Caused by: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at java.lang.Enum.valueOf(Enum.java:238) at org.apache.hadoop.io.SequenceFile$CompressionType.valueOf(SequenceFile.java:220) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:242) ... 16 more 18/10/20 15:31:53 ERROR SparkSQLDriver: Failed in [create table bak as select * from dm_bi_org_cfg] org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:215) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:173) at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.run(InsertIntoHiveTable.scala:317) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:138) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:92) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:92) at org.apache.spark.sql.hive.execution.CreateHiveTableAsSelectCommand.run(CreateHiveTableAsSelectCommand.scala:81) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:67) at org.apache.spark.sql.Dataset.<init>(Dataset.scala:182) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:67) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:623) at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:691) at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:340) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:248) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:755) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 3, localhost, executor driver): org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249) at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:123) at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:305) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) ... 8 more Caused by: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at java.lang.Enum.valueOf(Enum.java:238) at org.apache.hadoop.io.SequenceFile$CompressionType.valueOf(SequenceFile.java:220) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:242) ... 16 more Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:188) ... 38 more Caused by: org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249) at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:123) at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:305) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) ... 8 more Caused by: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at java.lang.Enum.valueOf(Enum.java:238) at org.apache.hadoop.io.SequenceFile$CompressionType.valueOf(SequenceFile.java:220) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:242) ... 16 more org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:215) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:173) at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.run(InsertIntoHiveTable.scala:317) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:138) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:92) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:92) at org.apache.spark.sql.hive.execution.CreateHiveTableAsSelectCommand.run(CreateHiveTableAsSelectCommand.scala:81) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:67) at org.apache.spark.sql.Dataset.<init>(Dataset.scala:182) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:67) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:623) at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:691) at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:340) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:248) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:755) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 3, localhost, executor driver): org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249) at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:123) at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:305) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) ... 8 more Caused by: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at java.lang.Enum.valueOf(Enum.java:238) at org.apache.hadoop.io.SequenceFile$CompressionType.valueOf(SequenceFile.java:220) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:242) ... 16 more Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:188) ... 38 more Caused by: org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249) at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:123) at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:305) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:314) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261) ... 8 more Caused by: java.lang.IllegalArgumentException: No enum constant org.apache.hadoop.io.SequenceFile.CompressionType.block at java.lang.Enum.valueOf(Enum.java:238) at org.apache.hadoop.io.SequenceFile$CompressionType.valueOf(SequenceFile.java:220) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:242) ... 16 more spark-sql> ```

hive 设置开启事务功能，运行报错: 现在想实现hive的删除和修改功能，hive版本1.2。但是配置了好久总是报错，求大神们指点。按照网上帖子配置了hive-site.xml ``` <property> <name>hive.support.concurrency</name> <value>true</value> </property> <property> <name>hive.exec.dynamic.partition.mode</name> <value>nonstrict</value> </property> <property> <name>hive.txn.manager</name> <value>org.apache.hadoop.hive.ql.lockmgr.DbTxnManager</value> </property> <property> <name>hive.compactor.initiator.on</name> <value>true</value> </property> <property> <name>hive.compactor.worker.threads</name> <value>1</value> </property> ``` 也在元数据里面加入了以下表和数据 ``` INSERT INTO NEXT_LOCK_ID VALUES(1); INSERT INTO NEXT_COMPACTION_QUEUE_ID VALUES(1); INSERT INTO NEXT_TXN_ID VALUES(1); COMMIT; ``` 参考：https://blog.csdn.net/wzy0623/article/details/51483674 现在在做查询的时候直接报错 FAILED: Error in acquiring locks: Error communicating with the metastore 后台日志报错： ``` 2018-10-15 22:01:53,144 INFO [main]: log.PerfLogger (PerfLogger.java:PerfLogEnd(148)) - </PERFLOG method=compile start=1539655310604 end=1539655313144 duration=2540 from=org.apache.hadoop.hive.ql.Driver> 2018-10-15 22:01:53,144 INFO [main]: log.PerfLogger (PerfLogger.java:PerfLogBegin(121)) - <PERFLOG method=acquireReadWriteLocks from=org.apache.hadoop.hive.ql.Driver> 2018-10-15 22:01:53,410 ERROR [main]: metastore.RetryingHMSHandler (RetryingHMSHandler.java:invoke(159)) - MetaException(message:Unable to update transaction database com.mysql.jdbc.NotImplemented: Feature not implemented at com.mysql.jdbc.Connection.setSavepoint(Connection.java:841) at com.jolbox.bonecp.ConnectionHandle.setSavepoint(ConnectionHandle.java:1334) at org.apache.hadoop.hive.metastore.txn.TxnHandler.checkLock(TxnHandler.java:1456) at org.apache.hadoop.hive.metastore.txn.TxnHandler.lock(TxnHandler.java:1430) at org.apache.hadoop.hive.metastore.txn.TxnHandler.lock(TxnHandler.java:422) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.lock(HiveMetaStore.java:5527) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:107) at com.sun.proxy.$Proxy8.lock(Unknown Source) at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.lock(HiveMetaStoreClient.java:1863) 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.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:156) at com.sun.proxy.$Proxy9.lock(Unknown Source) at org.apache.hadoop.hive.ql.lockmgr.DbLockManager.lock(DbLockManager.java:83) at org.apache.hadoop.hive.ql.lockmgr.DbTxnManager.acquireLocks(DbTxnManager.java:226) at org.apache.hadoop.hive.ql.lockmgr.DbTxnManager.acquireLocks(DbTxnManager.java:91) at org.apache.hadoop.hive.ql.Driver.acquireLocksAndOpenTxn(Driver.java:994) at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1182) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1059) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1049) at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:213) at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:165) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:736) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:681) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:621) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.util.RunJar.run(RunJar.java:221) at org.apache.hadoop.util.RunJar.main(RunJar.java:136) ) at org.apache.hadoop.hive.metastore.txn.TxnHandler.lock(TxnHandler.java:427) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.lock(HiveMetaStore.java:5527) 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.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:107) at com.sun.proxy.$Proxy8.lock(Unknown Source) at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.lock(HiveMetaStoreClient.java:1863) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:156) at com.sun.proxy.$Proxy9.lock(Unknown Source) at org.apache.hadoop.hive.ql.lockmgr.DbLockManager.lock(DbLockManager.java:83) at org.apache.hadoop.hive.ql.lockmgr.DbTxnManager.acquireLocks(DbTxnManager.java:226) at org.apache.hadoop.hive.ql.lockmgr.DbTxnManager.acquireLocks(DbTxnManager.java:91) at org.apache.hadoop.hive.ql.Driver.acquireLocksAndOpenTxn(Driver.java:994) at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1182) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1059) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1049) at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:213) at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:165) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:736) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:681) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:621) 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.util.RunJar.run(RunJar.java:221) at org.apache.hadoop.util.RunJar.main(RunJar.java:136) 2018-10-15 22:01:53,425 ERROR [main]: ql.Driver (SessionState.java:printError(957)) - FAILED: Error in acquiring locks: Error communicating with the metastore org.apache.hadoop.hive.ql.lockmgr.LockException: Error communicating with the metastore at org.apache.hadoop.hive.ql.lockmgr.DbLockManager.lock(DbLockManager.java:110) at org.apache.hadoop.hive.ql.lockmgr.DbTxnManager.acquireLocks(DbTxnManager.java:226) at org.apache.hadoop.hive.ql.lockmgr.DbTxnManager.acquireLocks(DbTxnManager.java:91) at org.apache.hadoop.hive.ql.Driver.acquireLocksAndOpenTxn(Driver.java:994) at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1182) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1059) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1049) at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:213) at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:165) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:736) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:681) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:621) 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.util.RunJar.run(RunJar.java:221) at org.apache.hadoop.util.RunJar.main(RunJar.java:136) Caused by: MetaException(message:Unable to update transaction database com.mysql.jdbc.NotImplemented: Feature not implemented at com.mysql.jdbc.Connection.setSavepoint(Connection.java:841) at com.jolbox.bonecp.ConnectionHandle.setSavepoint(ConnectionHandle.java:1334) at org.apache.hadoop.hive.metastore.txn.TxnHandler.checkLock(TxnHandler.java:1456) at org.apache.hadoop.hive.metastore.txn.TxnHandler.lock(TxnHandler.java:1430) at org.apache.hadoop.hive.metastore.txn.TxnHandler.lock(TxnHandler.java:422) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.lock(HiveMetaStore.java:5527) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:107) at com.sun.proxy.$Proxy8.lock(Unknown Source) at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.lock(HiveMetaStoreClient.java:1863) 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.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:156) at com.sun.proxy.$Proxy9.lock(Unknown Source) at org.apache.hadoop.hive.ql.lockmgr.DbLockManager.lock(DbLockManager.java:83) at org.apache.hadoop.hive.ql.lockmgr.DbTxnManager.acquireLocks(DbTxnManager.java:226) at org.apache.hadoop.hive.ql.lockmgr.DbTxnManager.acquireLocks(DbTxnManager.java:91) at org.apache.hadoop.hive.ql.Driver.acquireLocksAndOpenTxn(Driver.java:994) at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1182) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1059) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1049) at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:213) at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:165) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:736) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:681) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:621) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.util.RunJar.run(RunJar.java:221) at org.apache.hadoop.util.RunJar.main(RunJar.java:136) ) at org.apache.hadoop.hive.metastore.txn.TxnHandler.lock(TxnHandler.java:427) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.lock(HiveMetaStore.java:5527) 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.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:107) at com.sun.proxy.$Proxy8.lock(Unknown Source) at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.lock(HiveMetaStoreClient.java:1863) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:156) at com.sun.proxy.$Proxy9.lock(Unknown Source) at org.apache.hadoop.hive.ql.lockmgr.DbLockManager.lock(DbLockManager.java:83) ... 18 more ```

insert没有指定位置的时候是插入哪里的？: 下面是一段代码的运行结果，最后insert的0跑到前面去了，求大神解释一下![图片说明](https://img-ask.csdn.net/upload/201604/05/1459788226_317040.png) ![图片说明](https://img-ask.csdn.net/upload/201604/05/1459788246_446659.png)

急，求高手！！hive在向整合hbase的分区表插入数据时报错：Must specify table: hadoop版本：hadoop-2.7.12.7.1 hbase版本：hbase-1.1.2 hive版本：apache-hive-2.0.0-bin 本人是新手，在整合了hive和hbase之后，我在hive中创建了一张关联了hbase表的分区表，然后在向表插入数据的时候报错了，下面是插入语句和报错，求懂的人解答。 visited_in_hive是关联了hbase表，准备插入数据的表；hv_c_hb是hive中的另一张表（不是分区表），里面有数据，而且字段和visited_in_hive一样。插入语句：insert into table visited_in_hive partition (datetime='2016-03-05') select * from hv_c_hb; 报错：WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. Query ID = test2_20160308092429_26a93c7c-b945-4329-98ff-47a4067b579d Total jobs = 3 Launching Job 1 out of 3 Number of reduce tasks is set to 0 since there's no reduce operator java.io.IOException: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: Must specify table name at org.apache.hadoop.hive.ql.exec.FileSinkOperator.checkOutputSpecs(FileSinkOperator.java:1106) at org.apache.hadoop.hive.ql.io.HiveOutputFormatImpl.checkOutputSpecs(HiveOutputFormatImpl.java:67) at org.apache.hadoop.mapreduce.JobSubmitter.checkSpecs(JobSubmitter.java:268) at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:139) at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290) at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287) 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:1657) at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287) at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:575) at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:570) 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:1657) at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:570) at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:561) at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:432) at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:138) at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:158) at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:101) at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1840) at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1584) at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1361) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1184) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1172) at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:233) at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:184) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:400) at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:778) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:717) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:645) 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:497) at org.apache.hadoop.util.RunJar.run(RunJar.java:221) at org.apache.hadoop.util.RunJar.main(RunJar.java:136) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: Must specify table name at org.apache.hadoop.hive.ql.exec.FileSinkOperator.createHiveOutputFormat(FileSinkOperator.java:1128) at org.apache.hadoop.hive.ql.exec.FileSinkOperator.checkOutputSpecs(FileSinkOperator.java:1103) ... 37 more Caused by: java.lang.IllegalArgumentException: Must specify table name at org.apache.hadoop.hbase.mapreduce.TableOutputFormat.setConf(TableOutputFormat.java:188) at org.apache.hive.common.util.ReflectionUtil.setConf(ReflectionUtil.java:101) at org.apache.hive.common.util.ReflectionUtil.newInstance(ReflectionUtil.java:87) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveOutputFormat(HiveFileFormatUtils.java:300) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveOutputFormat(HiveFileFormatUtils.java:290) at org.apache.hadoop.hive.ql.exec.FileSinkOperator.createHiveOutputFormat(FileSinkOperator.java:1126) ... 38 more Job Submission failed with exception 'java.io.IOException(org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: Must specify table name)' FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask 它报的错是没有指定表名，但是语句里明明已经指定表名了啊。难道是版本问题？？？？求高手解答。

insert语句报java.sql.SQLException: ORA-00928: java.sql.SQLException: ORA-00928: 缺失 SELECT 关键字，请问哪里出错了？？ <insert id="addUser"> insert into app_user_ayth <dynamic open="(" close=")"> <isNotNull prepend="," property="userId"> userId </isNotNull> <isNotNull prepend="," property="userName"> userName </isNotNull> <isNotNull prepend="," property="deptementId"> deptementId </isNotNull> <isNotNull prepend="," property="oainfo"> oainfo </isNotNull> <isNotNull prepend="," property="power"> power </isNotNull> <isNotNull prepend="," property="depar"> depar </isNotNull> </dynamic> values <dynamic open="(" close=")"> <isNotNull prepend="," property="userId"> #userId:VARCHAR# </isNotNull> <isNotNull prepend="," property="userName"> #userName:VARCHAR# </isNotNull> <isNotNull prepend="," property="deptementId"> #deptementId:VARCHAR# </isNotNull> <isNotNull prepend="," property="oainfo"> #oainfo:VARCHAR# </isNotNull> <isNotNull prepend="," property="power"> #power:VARCHAR# </isNotNull> <isNotNull prepend="," property="depar"> #depar:VARCHAR# </isNotNull> ) </dynamic> </insert>

如何在hadoop配置单元中实现php代码插入: <div class="post-text" itemprop="text"> <p>I want to read the two corpus into hive , like php code blow</p> <pre><code><?php for (i=0;i<corpus1_size;i++){ for(j=0;j<corpus2_size;j++){ // execute the MySQL insert code : insert into table (copus1,corpus2)value(corpus1[i],corpus2[jj); } } ?> </code></pre> <p>Is any suggestion for me to implement php code to hive system ?</p> <h1>read the data store into hadoop system ?</h1> <p>this two corpus data is over 1TB , I want to quick store the data. suitable step ?</p> </div>

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一文带你入门Java Stream流，太强了: 两个星期以前，就有读者强烈要求我写一篇 Java Stream 流的文章，我说市面上不是已经有很多了吗，结果你猜他怎么说：“就想看你写的啊！”你看你看，多么苍白的喜欢啊。那就“勉为其难”写一篇吧，嘻嘻。单从“Stream”这个单词上来看，它似乎和 java.io 包下的 InputStream 和 OutputStream 有些关系。实际上呢，没毛关系。Java 8 新增的 Stream 是为...

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