Hive中常出现的错误(不定时更新)

1.加载数据失败

html 复制代码
hive> load data local inpath '/home/user/hive.txt' into table studentl
    > ;
FAILED: SemanticException [Error 10001]: Line 1:56 Table not found 'studentl'
hive> load data local inpath '/home/user/hive.txt' into table student;
Loading data to table default.student
Failed with exception Unable to move source file:/home/user/hive.txt to destination hdfs://com.qiyu02:8020/user/hive/warehouse/student/hive.txt
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.MoveTask

在hive日志发现

html 复制代码
org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/hive/warehouse/student/hive.txt could only be replicated to 0 nodes instead of minReplication (=1).  There are 1 datanode(s) running and no node(s) are excluded in this operation.
	at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget(BlockManager.java:1503)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3124)
	at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:636)
	at org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.addBlock(AuthorizationProviderProxyClientProtocol.java:188)
	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:476)
	at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
	at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587)
	at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026)
	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013)
	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009)
	at java.security.AccessController.doPrivileged(Native Method)
	at javax.security.auth.Subject.doAs(Subject.java:415)
	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642)
	at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007)

	at org.apache.hadoop.ipc.Client.call(Client.java:1411)
	at org.apache.hadoop.ipc.Client.call(Client.java:1364)
	at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
	at com.sun.proxy.$Proxy19.addBlock(Unknown Source)
	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:391)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccesThere are 1 datanode(s) running and no node(s) are excluded in this operation.
	at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget(BlockManager.java:1503)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3124)
	at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:636)
	at org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.addBlock(AuthorizationProviderProxyClientProtocol.java:188)
	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:476)
	at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
	at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587)
	at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026)
	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013)
	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009)
	at java.security.AccessController.doPrivileged(Native Method)
	at javax.security.auth.Subject.doAs(Subject.java:415)
	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642)
	at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007)

	at org.apache.hadoop.ipc.Client.call(Client.java:1411)
	at org.apache.hadoop.ipc.Client.call(Client.java:1364)
	at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
	at com.sun.proxy.$Proxy19.addBlock(Unknown Source)
	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:391)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAcces
html 复制代码
<span style="color:#ff0000">There are 1 datanode(s) running and no node(s) are excluded in this operation.</span>

大概是datanode(s) 挂掉了 ,敲下jps验证一下,果真如此,不得不重启一下hadoop进程了

2.Hive中运行Mapredurce程序时:

错误:

Ended Job = job_1504575362948_0022 with errors Error during job, obtaining debugging information...

html 复制代码
hive (person)> select password from user1;
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_1504575362948_0022, Tracking URL = http://com.qiyu02:8088/proxy/application_1504575362948_0022/
Kill Command = /opt/modules/hadoop-2.5.0-cdh5.3.6/bin/hadoop job  -kill job_1504575362948_0022
Hadoop job information for Stage-1: number of mappers: 0; number of reducers: 0
2017-09-05 11:44:53,804 Stage-1 map = 0%,  reduce = 0%
Ended Job = job_1504575362948_0022 with errors
Error during job, obtaining debugging information...
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched: 
Stage-Stage-1:  HDFS Read: 0 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 0 msec

网上说法一大堆!说什么内存不够啊、ResourceManger没成功启动啊....等等全试了一遍,还是没解决。。。

后来猜测可能是内核的原因,改下内核,重新启动就好了

3. hive on tez ,yarn 任务一直都running 状态。

修改 tez :默认 tez.session.am.dag.submit.timeout.secs=600

改成 0

修改 hive : tez.session.am.dag.submit.timeout.secs = xxxx

改成 0

资源有限的话 改成 0,越早释放资源越好

相关推荐
BYSJMG1 天前
计算机毕业设计选题推荐|【基于大数据的城市噪音数据可视化分析】Spark+K-Means+FP-Growth实战
大数据·hadoop·信息可视化·spark·课程设计
牛奶咖啡133 天前
大数据Hadoop运维应用实践——Hadoop平台常见问题与故障汇总、系统调优、网络规划与硬件存储选型
大数据·hadoop·hadoop集群操作系统调优·hadoop集群运维问题汇总·hadoop集群硬件规划·大数据平台网络规划·大数据平台硬件存储选型
雨晨源码(同名B站)3 天前
基于Python的网易云音乐评论数据情感化分析系统 音乐爬虫信息可视化 |SnowNLP评论情感分析
开发语言·hadoop·爬虫·python·信息可视化·毕业设计
赤土 炙焱3 天前
hiveserver2启动失败,磁盘满了
hive·hadoop
Francek Chen4 天前
【大数据处理与分析】数据仓库Hive:02 数据湖
大数据·数据仓库·hive·hadoop·分布式·数据分析
Blossom i6 天前
Python+spark2.0+Hadoop机器学习与大数据实战第十一章:Python Spark的集成开发环境
大数据·hadoop·spark
我要用代码向我喜欢的女孩表白7 天前
hdfs获取所有路径大小的脚本
大数据·hadoop·hdfs
Waay7 天前
什么是HBase?它和Hive有什么区别?
大数据·数据库·hive·hadoop·hdfs·hbase
fastjson_8 天前
Hadoop之Yarn
大数据·hadoop·npm
fastjson_8 天前
Hive的介绍和使用
数据仓库·hive·hadoop