救命,hive中使用insert into 不能插入数据,别的语句都行,求解(着急)

先简单叙述,最近有个项目需要使用hive,目前我的数据在一个map中,我使用jdbc连接hive,连接没有问题,创建表什么的也正常,但是一执行insert into 语句,就会卡住,就是一直转圈,不报错,然后我强行终止后会出现一张临时表,临时表中有我要插入的数据,但是并没有插入我指定的那张表,而且连接关闭重新连接后,临时表就消失了,救救我吧, 是在搞不定hive这个
我的问题类似于这个博主说的http://www.aboutyun.com/thread-20833-1-1.html

但是我不仅这样,我是一执行insert,还会卡主,不往下执行,我用idea的datasource也是这样,必须手动停止,然后就会出现临时表

hive的地址是公司给的地址

请问怎么办,拜托了各位学大数据的大神,已经折磨我一周了

图片说明

图片说明

2个回答

你有abc这张表吗,我看你的图片好像没有

u011856283
你好杰米 有的,在最上面,滚轮滚下去了
大约 2 年之前 回复

解决了,不管是idea的工具还是用java的jdbc都插不进去,后来同事给弄了下,也不知道弄了啥,弄了下服务器那边,我这啥也没改就能插进去了,我也不知道怎么回事,虽然能插进去了,但是非常慢,最后还是选择了load方式,放弃insert into

candy_rainbow
candy_rainbow 求方法,我与你一摸一样
8 个月之前 回复
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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!!!

oracle,表判断是否存在,不存在则先创建表,再执行语句,存在则执行语句

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execute immediate 使用同一条动态更新语句,绑定变量不同,只更新最新的一条

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package com.wangdonghui.dbcd; import java.sql.SQLException; import javax.sql.DataSource; import org.junit.Test; import org.springframework.context.ApplicationContext; import org.springframework.context.support.ClassPathXmlApplicationContext; import org.springframework.jdbc.core.JdbcTemplate; public class JDBCTest { private ApplicationContext ctx = null; private JdbcTemplate jdbcTemplate; { ctx = new ClassPathXmlApplicationContext("applicationContext.xml"); jdbcTemplate = (JdbcTemplate) ctx.getBean("jdbcTemplate"); System.out.println("fffffffff"); } @Test public void test() throws SQLException{ String sql = "insert into people(id,name) values ('5','6')"; int result = jdbcTemplate.update(sql); System.out.println(result); } } ``` ``` 没有空指针,但是到 int result = jdbcTemplate.update(sql);这行代码就不执行也不往下走了,求大神告知

mysql 错误:1146 ,Table "XXX" doesn;t exist

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