标签:pig asi 不能 lse 基础 数据库 自己的 能力 重启
https://www.cnblogs.com/ejiyuan/p/5591613.html
HBase是Apache Hadoop中的一个子项目,是一个HBase是一个开源的、分布式的、多版本的、面向列的、非关系(NoSQL)的、可伸缩性分布式数据存储模型,Hbase依托于Hadoop的HDFS作为最基本存储基础单元。HBase的服务器体系结构遵从简单的主从服务器架构,它由HRegion Server群和HMaster Server构成。HMaster Server负责管理所有的HRegion Server,而HBase中的所有Server都是通过Zookeeper进行的分布式信息共享与任务协调的工作。HMaster Server本身并不存储HBase中的任何数据,HBase逻辑上的表可能会被划分成多个Region,然后存储到HRegionServer群中,HRegionServer响应用户I/O请求,向HDFS文件系统中读写数据。HBase Master Server中存储的是从数据到HRegion Server的映射。
下面一幅图是Hbase在Hadoop Ecosystem中的位置
上图描述了Hadoop EcoSystem中的各层系统,其中HBase位于结构化存储层,Hadoop HDFS为HBase提供了高可靠性的底层存储支持,Hadoop MapReduce为HBase提供了高性能的计算能力,Zookeeper为HBase提供了稳定服务和failover机制。 此外,Pig和Hive还为HBase提供了高层语言支持,使得在HBase上进行数据统计处理变的非常简单。 Sqoop则为HBase提供了方便的RDBMS数据导入功能,使得传统数据库数据向HBase中迁移变的非常方便。
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cd /usr/local tar -zxvf hbase-1.2.1-bin.tar.gz mv /home/hbase |
配置工作具体如下:
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export JAVA_HOME=/usr/local/jdk1. 8 export HBASE_PID_DIR=/home/hbase/pid #使用mkdir /home/hbase/pid命令先创建 export HBASE_MANAGES_ZK= false #不适用内置zookeeper,使用我们自己安装的(具体指定使用哪个zookeeper是通过/etc/profile中的ZK_HOME变量来指定的) |
<configuration> <property> <name>hbase.rootdir</name> <value>hdfs://master:9000/hbase</value> <description>设置 hbase 数据库存放数据的目录,这里是放在hadoop hdfs上,这里要与hadoop的core-site.xml文件中的fs.default.name中的值一致,然后在后面添加自己的子目录,我这里定义是hbase</description> </property> <property> <name>hbase.cluster.distributed</name> <value>true</value> <description>打开 hbase 分布模式</description> </property> <property> <name>hbase.master</name> <value>master</value> <description>指定 hbase 集群主控节点</description> </property> <property> <name>hbase.tmp.dir</name> <value>/home/user/tmp/hbase</value> <description>hbase的一些临时文件存放目录。</description> </property> <property> <name>hbase.zookeeper.quorum</name> <value>master,slave1,slave2</value> <description> 指定 zookeeper 集群节点名 , 因为是由 zookeeper 表决算法决定的</description> </property> <property> <name>hbase.zookeeper.property.clientPort</name> <value>2181</value> <description> 连接到zookeeper的端口,默认是2181</description> </property> </configuration>
msater slave1 slave2
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scp /home/hbase root @slave1 :/home/ scp /home/hbase root @slave2 :/home/ |
完成后使用vi /etc/profile 设置各自节点的环境变量
启动hbase前要确保,hadoop,zookeeper已经启动,进入$HBASE_HOME/bin目录下,输入命令start-hbase.sh
执行jps查看系统进程
其他节点
启动日志会输出到/home/hbase/logs/hbase-root-master-master.log中,可以查看排除异常
启动完成后,执行如下命令可以进入到hbase shell界面,使用命令status检查集群节点状态
这里可以使用 hbase shell命令执行数据库操作,具体参考 http://www.cnblogs.com/nexiyi/p/hbase_shell.html
另外也可以直接打开网址:http://192.168.137.122:16010/master-status,在web中查看集群状态,其中192.168.137.122是master所在节点的IP,16010为hbase默认端口(老版本中为60010)
本次安装测试中主要出现了一下几个错误:
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org.apache.hadoop.hbase.ClockOutOfSyncException: org.apache.hadoop.hbase.ClockOutOfSyncException: Server hadoopslave2, 60020 , 1372320861420 has been rejected; Reported time is too far out of sync with master. Time difference of 143732ms > max allowed of 30000ms at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java: 57 ) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java: 45 ) at java.lang.reflect.Constructor.newInstance(Constructor.java: 525 ) at org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java: 95 ) at org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java: 79 ) at org.apache.hadoop.hbase.regionserver.HRegionServer.reportForDuty(HRegionServer.java: 2093 ) at org.apache.hadoop.hbase.regionserver.HRegionServer.run(HRegionServer.java: 744 ) at java.lang.Thread.run(Thread.java: 722 ) Caused by: org.apache.hadoop.ipc.RemoteException: org.apache.hadoop.hbase.ClockOutOfSyncException: Server hadoopslave2, 60020 , 1372320861420 has been rejected; Reported time is too far out of sync with master. Time difference of 143732ms > max allowed of 30000ms |
在各节点的hbase-site.xml文件中加入下列代码
<property> <name>hbase.master.maxclockskew</name> <value>200000</value> </property>
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org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.fs.PathIsNotEmptyDirectoryException): `/hbase/WALs/slave1, 16000 , 1446046595488 -splitting is non empty‘: Directory is not empty at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.deleteInternal(FSNamesystem.java: 3524 ) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.deleteInt(FSNamesystem.java: 3479 ) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.delete(FSNamesystem.java: 3463 ) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.delete(NameNodeRpcServer.java: 751 ) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.delete(ClientNamenodeProtocolServerSideTranslatorPB.java: 562 ) at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$ 2 .callBlockingMethod(ClientNamenodeProtocolProtos.java) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java: 585 ) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java: 928 ) at org.apache.hadoop.ipc.Server$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: 1614 ) 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.$Proxy15.delete(Unknown Source) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.delete(ClientNamenodeProtocolTranslatorPB.java: 490 ) at sun.reflect.GeneratedMethodAccessor7.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java: 43 ) at java.lang.reflect.Method.invoke(Method.java: 606 ) at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java: 187 ) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java: 102 ) at com.sun.proxy.$Proxy16.delete(Unknown Source) at sun.reflect.GeneratedMethodAccessor7.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java: 43 ) at java.lang.reflect.Method.invoke(Method.java: 606 ) at org.apache.hadoop.hbase.fs.HFileSystem$ 1 .invoke(HFileSystem.java: 279 ) at com.sun.proxy.$Proxy17.delete(Unknown Source) at sun.reflect.GeneratedMethodAccessor7.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java: 43 ) at java.lang.reflect.Method.invoke(Method.java: 606 ) at org.apache.hadoop.hbase.fs.HFileSystem$ 1 .invoke(HFileSystem.java: 279 ) at com.sun.proxy.$Proxy17.delete(Unknown Source) at org.apache.hadoop.hdfs.DFSClient.delete(DFSClient.java: 1726 ) at org.apache.hadoop.hdfs.DistributedFileSystem$ 11 .doCall(DistributedFileSystem.java: 588 ) at org.apache.hadoop.hdfs.DistributedFileSystem$ 11 .doCall(DistributedFileSystem.java: 584 ) at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java: 81 ) at org.apache.hadoop.hdfs.DistributedFileSystem.delete(DistributedFileSystem.java: 584 ) at org.apache.hadoop.hbase.master.SplitLogManager.splitLogDistributed(SplitLogManager.java: 297 ) at org.apache.hadoop.hbase.master.MasterFileSystem.splitLog(MasterFileSystem.java: 400 ) at org.apache.hadoop.hbase.master.MasterFileSystem.splitLog(MasterFileSystem.java: 373 ) at org.apache.hadoop.hbase.master.MasterFileSystem.splitLog(MasterFileSystem.java: 295 ) at org.apache.hadoop.hbase.master.procedure.ServerCrashProcedure.splitLogs(ServerCrashProcedure.java: 388 ) at org.apache.hadoop.hbase.master.procedure.ServerCrashProcedure.executeFromState(ServerCrashProcedure.java: 228 ) at org.apache.hadoop.hbase.master.procedure.ServerCrashProcedure.executeFromState(ServerCrashProcedure.java: 72 ) at org.apache.hadoop.hbase.procedure2.StateMachineProcedure.execute(StateMachineProcedure.java: 119 ) at org.apache.hadoop.hbase.procedure2.Procedure.doExecute(Procedure.java: 452 ) at org.apache.hadoop.hbase.procedure2.ProcedureExecutor.execProcedure(ProcedureExecutor.java: 1050 ) at org.apache.hadoop.hbase.procedure2.ProcedureExecutor.execLoop(ProcedureExecutor.java: 841 ) at org.apache.hadoop.hbase.procedure2.ProcedureExecutor.execLoop(ProcedureExecutor.java: 794 ) at org.apache.hadoop.hbase.procedure2.ProcedureExecutor.access$ 400 (ProcedureExecutor.java: 75 ) at org.apache.hadoop.hbase.procedure2.ProcedureExecutor$ 2 .run(ProcedureExecutor.java: 479 ) |
参考https://issues.apache.org/jira/browse/HBASE-14729,进入hadoop文件系统,删除掉报错的目录或真个WALs
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zookeeper.MetaTableLocator: Failed verification of hbase:meta,, 1 at address=slave1, 16020 , 1428456823337 , exception=org.apache.hadoop.hbase.NotServingRegionException: Region hbase:meta,, 1 is not online on worker05, 16020 , 1428461295266 at org.apache.hadoop.hbase.regionserver.HRegionServer.getRegionByEncodedName(HRegionServer.Java: 2740 ) at org.apache.hadoop.hbase.regionserver.RSRpcServices.getRegion(RSRpcServices.java: 859 ) at org.apache.hadoop.hbase.regionserver.RSRpcServices.getRegionInfo(RSRpcServices.java: 1137 ) at org.apache.hadoop.hbase.protobuf.generated.AdminProtos$AdminService$ 2 .callBlockingMethod(AdminProtos.java: 20862 ) at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java: 2031 ) at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java: 107 ) at org.apache.hadoop.hbase.ipc.RpcExecutor.consumerLoop(RpcExecutor.java: 130 ) at org.apache.hadoop.hbase.ipc.RpcExecutor$ 1 .run(RpcExecutor.java: 107 ) at java.lang.Thread.run(Thread.java: 745 ) |
HMaster启动之后自动挂掉(或非正常重启),并且master的log里出现“TableExistsException: hbase:namespace”字样;
很可能是更换了Hbase的版本过后zookeeper还保留着上一次的Hbase设置,所以造成了冲突.
删除zookeeper信息,重启之后就没问题了
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# sh zkCli.sh -server slave1: 2181 [zk: slave1: 2181 (CONNECTED) 0 ] ls / [zk: slave1: 2181 (CONNECTED) 0 ] rmr /hbase [zk: slave1: 2181 (CONNECTED) 0 ] quit |
标签:pig asi 不能 lse 基础 数据库 自己的 能力 重启
原文地址:https://www.cnblogs.com/qqflying/p/9186381.html