通过tarball形式安装HBASE Cluster(CDH5.0.2)——Hadoop NameNode HA 切换引起的Hbase错误,以及Hbase如何基于NameNode的HA进行配置
通过tarball形式安装HBASE Cluster(CDH5.0.2)——Hadoop NameNode HA 切换引起的Hbase错误,以及Hbase如何基于NameNode的HA进行配置
配置HBASE的时候一开始按照cdh网站上的说明,hbase.rootdir的值设置使用的是基于Hadoop Namenode HA的nameservice
<property>
<name>hbase.rootdir</name>
<value>hdfs://hbasecluster/hbase</value>
</property>
配置后,使用start-hbase.sh启动,只有位于bakup-masters文件中的HMaster能启动,hbase配置的位于Hadoop DateNode上的RegionServer都启动失败,所报错误为连接hdfs:/hbasecluster:8020失败(),当时网上搜索未果,只好改成单机模式:
<property>
<name>hbase.rootdir</name>
<value>hdfs://nn1:8020/hbase</value>
</property>
此时,hbase可以启动成功,hbase shell测试,远程java程序测试皆通过。逐渐地我就忘记这个配置遗留问题了,结果昨天心血来潮又测试了一下Namenode的HA切换,这个倒是成功了没有问题。可是在测试java程序访问hbase发现失败了,到服务器上看主节点zk1上的HMaster进程没有了,zk2,zk3上的HMaster进程虽然有也不能链接,于zk1上重新启动hbase集群
stop-hbase.sh
start-hbase.sh jps
随后用jps查看,发现HMaster进程很快消失,查看log发现,报如下错误:
2014-07-24 08:51:47,023 FATAL [master:zk1:60000] master.HMaster: Unhandled exception. Starting shutdown.
org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.ipc.StandbyException): Operation category READ is not supported in state standby
at org.apache.hadoop.hdfs.server.namenode.ha.StandbyState.checkOperation(StandbyState.java:87)
at org.apache.hadoop.hdfs.server.namenode.NameNode$NameNodeHAContext.checkOperation(NameNode.java:1565)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkOperation(FSNamesystem.java:1183)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getFileInfo(FSNamesystem.java:3492)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getFileInfo(NameNodeRpcServer.java:764)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getFileInfo(ClientNamenodeProtocolServerSideTranslatorPB.java:764)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$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:1026)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1986)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1982)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1980) at org.apache.hadoop.ipc.Client.call(Client.java:1409)
at org.apache.hadoop.ipc.Client.call(Client.java:1362)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
at com.sun.proxy.$Proxy12.getFileInfo(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:186)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
at com.sun.proxy.$Proxy12.getFileInfo(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:699)
at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1757)
at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1124)
at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1120)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1120)
at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:1398)
at org.apache.hadoop.hbase.master.MasterFileSystem.checkRootDir(MasterFileSystem.java:438)
at org.apache.hadoop.hbase.master.MasterFileSystem.createInitialFileSystemLayout(MasterFileSystem.java:146)
at org.apache.hadoop.hbase.master.MasterFileSystem.<init>(MasterFileSystem.java:127)
at org.apache.hadoop.hbase.master.HMaster.finishInitialization(HMaster.java:789)
at org.apache.hadoop.hbase.master.HMaster.run(HMaster.java:606)
at java.lang.Thread.run(Thread.java:745)
2014-07-24 08:51:47,025 INFO [master:zk1:60000] master.HMaster: Aborting
2014-07-24 08:51:47,026 DEBUG [master:zk1:60000] master.HMaster: Stopping service threads
2014-07-24 08:51:47,026 INFO [master:zk1:60000] ipc.RpcServer: Stopping server on 60000
2014-07-24 08:51:47,026 INFO [RpcServer.handler=0,port=60000] ipc.RpcServer: RpcServer.handler=0,port=60000: exiting
2014-07-24 08:51:47,027 INFO [RpcServer.handler=1,port=60000] ipc.RpcServer: RpcServer.handler=1,port=60000: exiting
2014-07-24 08:51:47,027 INFO [RpcServer.handler=3,port=60000] ipc.RpcServer: RpcServer.handler=3,port=60000: exiting
2014-07-24 08:51:47,027 INFO [RpcServer.handler=2,port=60000] ipc.RpcServer: RpcServer.handler=2,port=60000: exiting
2014-07-24 08:51:47,027 INFO [RpcServer.handler=4,port=60000] ipc.RpcServer: RpcServer.handler=4,port=60000: exiting
2014-07-24 08:51:47,027 INFO [RpcServer.handler=5,port=60000] ipc.RpcServer: RpcServer.handler=5,port=60000: exiting
2014-07-24 08:51:47,027 INFO [RpcServer.handler=6,port=60000] ipc.RpcServer: RpcServer.handler=6,port=60000: exiting
2014-07-24 08:51:47,027 INFO [RpcServer.handler=7,port=60000] ipc.RpcServer: RpcServer.handler=7,port=60000: exiting
2014-07-24 08:51:47,027 INFO [RpcServer.handler=8,port=60000] ipc.RpcServer: RpcServer.handler=8,port=60000: exiting
2014-07-24 08:51:47,028 INFO [RpcServer.handler=9,port=60000] ipc.RpcServer: RpcServer.handler=9,port=60000: exiting
2014-07-24 08:51:47,028 INFO [RpcServer.handler=10,port=60000] ipc.RpcServer: RpcServer.handler=10,port=60000: exiting
2014-07-24 08:51:47,028 INFO [RpcServer.handler=11,port=60000] ipc.RpcServer: RpcServer.handler=11,port=60000: exiting
2014-07-24 08:51:47,028 INFO [RpcServer.handler=12,port=60000] ipc.RpcServer: RpcServer.handler=12,port=60000: exiting
2014-07-24 08:51:47,028 INFO [RpcServer.handler=13,port=60000] ipc.RpcServer: RpcServer.handler=13,port=60000: exiting
2014-07-24 08:51:47,028 INFO [RpcServer.handler=14,port=60000] ipc.RpcServer: RpcServer.handler=14,port=60000: exiting
2014-07-24 08:51:47,028 INFO [RpcServer.handler=15,port=60000] ipc.RpcServer: RpcServer.handler=15,port=60000: exiting
2014-07-24 08:51:47,028 INFO [RpcServer.handler=16,port=60000] ipc.RpcServer: RpcServer.handler=16,port=60000: exiting
2014-07-24 08:51:47,029 INFO [RpcServer.handler=17,port=60000] ipc.RpcServer: RpcServer.handler=17,port=60000: exiting
2014-07-24 08:51:47,029 INFO [RpcServer.handler=19,port=60000] ipc.RpcServer: RpcServer.handler=19,port=60000: exiting
2014-07-24 08:51:47,029 INFO [RpcServer.handler=18,port=60000] ipc.RpcServer: RpcServer.handler=18,port=60000: exiting
2014-07-24 08:51:47,029 INFO [RpcServer.handler=20,port=60000] ipc.RpcServer: RpcServer.handler=20,port=60000: exiting
2014-07-24 08:51:47,029 INFO [RpcServer.handler=21,port=60000] ipc.RpcServer: RpcServer.handler=21,port=60000: exiting
2014-07-24 08:51:47,029 INFO [RpcServer.handler=22,port=60000] ipc.RpcServer: RpcServer.handler=22,port=60000: exiting
2014-07-24 08:51:47,029 INFO [RpcServer.handler=24,port=60000] ipc.RpcServer: RpcServer.handler=24,port=60000: exiting
2014-07-24 08:51:47,029 INFO [RpcServer.handler=23,port=60000] ipc.RpcServer: RpcServer.handler=23,port=60000: exiting
2014-07-24 08:51:47,030 INFO [RpcServer.handler=26,port=60000] ipc.RpcServer: RpcServer.handler=26,port=60000: exiting
2014-07-24 08:51:47,030 INFO [RpcServer.handler=27,port=60000] ipc.RpcServer: RpcServer.handler=27,port=60000: exiting
2014-07-24 08:51:47,030 INFO [RpcServer.handler=25,port=60000] ipc.RpcServer: RpcServer.handler=25,port=60000: exiting
2014-07-24 08:51:47,030 INFO [RpcServer.handler=28,port=60000] ipc.RpcServer: RpcServer.handler=28,port=60000: exiting
2014-07-24 08:51:47,030 INFO [RpcServer.handler=29,port=60000] ipc.RpcServer: RpcServer.handler=29,port=60000: exiting
2014-07-24 08:51:47,036 INFO [Replication.RpcServer.handler=0,port=60000] ipc.RpcServer: Replication.RpcServer.handler=0,port=60000: exiting
2014-07-24 08:51:47,036 INFO [Replication.RpcServer.handler=1,port=60000] ipc.RpcServer: Replication.RpcServer.handler=1,port=60000: exiting
2014-07-24 08:51:47,037 INFO [Replication.RpcServer.handler=2,port=60000] ipc.RpcServer: Replication.RpcServer.handler=2,port=60000: exiting
2014-07-24 08:51:47,038 INFO [RpcServer.listener,port=60000] ipc.RpcServer: RpcServer.listener,port=60000: stopping
2014-07-24 08:51:47,039 INFO [master:zk1:60000] master.HMaster: Stopping infoServer
2014-07-24 08:51:47,043 INFO [RpcServer.responder] ipc.RpcServer: RpcServer.responder: stopped
2014-07-24 08:51:47,043 INFO [RpcServer.responder] ipc.RpcServer: RpcServer.responder: stopping
2014-07-24 08:51:47,055 INFO [master:zk1:60000] mortbay.log: Stopped SelectChannelConnector@0.0.0.0:60010
2014-07-24 08:51:47,190 INFO [master:zk1:60000] zookeeper.ZooKeeper: Session: 0x164756c65ba5008e closed
2014-07-24 08:51:47,191 INFO [master:zk1:60000] master.HMaster: HMaster main thread exiting
2014-07-24 08:51:47,191 ERROR [main] master.HMasterCommandLine: Master exiting
java.lang.RuntimeException: HMaster Aborted
at org.apache.hadoop.hbase.master.HMasterCommandLine.startMaster(HMasterCommandLine.java:192)
at org.apache.hadoop.hbase.master.HMasterCommandLine.run(HMasterCommandLine.java:134)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.hadoop.hbase.util.ServerCommandLine.doMain(ServerCommandLine.java:126)
at org.apache.hadoop.hbase.master.HMaster.main(HMaster.java:2789)
2014-07-24 08:51:47,191 INFO [main-EventThread] zookeeper.ClientCnxn: EventThread shut down
仔细看,发现是namenode报的错,检查nn1状态,发现此时nn1处于standby状态,nn2已经处于active状态,突然想起昨天的测试。这激起了我解决这个问题的决心,经过一翻goooooooooooooooogle,终于在hbase官网上的hbase文档中发现了如下几行内容:
2.2.2.2.3. HDFS Client Configuration
Of note, if you have made HDFS client configuration on your Hadoop cluster -- i.e. configuration you want HDFS clients to use as opposed to server-side configurations -- HBase will not see this configuration unless you do one of the following: Add a pointer to your HADOOP_CONF_DIR to the HBASE_CLASSPATH environment variable in hbase-env.sh. Add a copy of hdfs-site.xml (or hadoop-site.xml) or, better, symlinks, under ${HBASE_HOME}/conf, or if only a small set of HDFS client configurations, add them to hbase-site.xml. An example of such an HDFS client configuration is dfs.replication. If for example, you want to run with a replication factor of 5, hbase will create files with the default of 3 unless you do the above to make the configuration available to HBase.
我才用的是方法二,在所有的master节点和regionserver节点上都建立了hdfs-site.xml的符号链接(scp 分发符号连接不行,都变成真实文件了),hbase.rootdir配置为nameservice方式,再次测试hbase集群启动,成功!
然后测试hadoop namenode切换,hbase没问题了,至此困扰我多日的问题终于解决了。
通过tarball形式安装HBASE Cluster(CDH5.0.2)——Hadoop NameNode HA 切换引起的Hbase错误,以及Hbase如何基于NameNode的HA进行配置的更多相关文章
- 通过tarball形式安装HBASE Cluster(CDH5.0.2)——集群安装总览
1,手动下载压缩包.tar(下载地址),采用tarball形式手工安装集群. 2,共启用13台虚拟机,CentOS6.5 64bit,nn1,nn2,rm1,rm2,dn1,dn2,dn3,dn4,d ...
- 通过tarball形式安装HBASE Cluster(CDH5.0.2)——重新编译CDH5.0.2 HADOOP点滴
本文参考博文Hadoop2.2.0遇到64位操作系统平台报错,重新编译Hadoop 由于我采用的tarball方式安装hadoop,其lib/native下根本没有内容,启动hdfs时报这个经典的na ...
- 通过tarball形式安装HBASE Cluster(CDH5.0.2)——HBASE 真分布式集群配置
一.应该先配置好zookeeper并成功启动,否则hbase无法启动 二.配置HBASE集群 1,配置hbase-env.sh,下面是最少配置项目 [hadoop@zk1 conf]$ vim hba ...
- 通过tarball形式安装HBASE Cluster(CDH5.0.2)——配置分布式集群中的YARN ResourceManager 的HA
<?xml version="1.0"?> <!-- Licensed under the Apache License, Version 2.0 (the &q ...
- 通过tarball形式安装HBASE Cluster(CDH5.0.2)——如何配置分布式集群中的zookeeper
集群安装总览参见这里 Zookeeper的配置 1,/etc/profile中加入zk的路径设置,见上面背景说明. 2,进入~/zk/conf目录,复制zoo_sample.cfg为zoo.cfg v ...
- 安装配置和使用HBASE Cluster(基于发行版CDH5.0.2)——系列随笔
本系列文章只是记录了笔者本人在学习实验安装和使用基于CDH5.0.2的HBASE集群过程中的一些经验教训和心得,绝不是详细的安装过程,因本人不过一初学者,很多方面不甚了了,如果能让不幸读到的人有所得则 ...
- Centos7.5安装分布式Hadoop2.6.0+Hbase+Hive(CDH5.14.2离线安装tar包)
Tags: Hadoop Centos7.5安装分布式Hadoop2.6.0+Hbase+Hive(CDH5.14.2离线安装tar包) Centos7.5安装分布式Hadoop2.6.0+Hbase ...
- Hbase的安装(hadoop-2.6.0,hbase1.0)
Hbase的安装相对很简单啊...只要你装了Hadoop 装Hbase就是分分钟的事 如果要装hadoop集群的话 hadoop分类的集群安装好了,如果已经装好单机版~ 那就再配置如下就好~ 一.vi ...
- CentOS7安装CDH 第五章:CDH的安装和部署-CDH5.7.0
相关文章链接 CentOS7安装CDH 第一章:CentOS7系统安装 CentOS7安装CDH 第二章:CentOS7各个软件安装和启动 CentOS7安装CDH 第三章:CDH中的问题和解决方法 ...
随机推荐
- 秒杀怎么样才可以防止超卖?基于mysql的事务和锁实现
Reference: http://blog.ruaby.com/?p=256 并发事务处理带来的问题? 相对于串行处理来说,并发事务处理能大大增加数据库资源的利用率,提高数据库系统的事务吞吐量,从 ...
- Java SWT编程基础
SWT常用组件列表及使用 https://blog.csdn.net/u013310025/article/details/52939452 SWT编程基础-控件和图形资源 https://blog. ...
- Kafka vs RocketMQ—— Topic数量对单机性能的影响
引言 上一期我们对比了三类消息产品(Kafka.RabbitMQ.RocketMQ)单纯发送小消息的性能,受到了程序猿们的广泛关注,其中大家对这种单纯的发送场景感到并不过瘾,因为没有任何一个网站的业务 ...
- java结合js获取验证码
框架springmvc 1.后台java代码: package com.fh.controller.system.secCode; import java.awt.Color; import java ...
- Struts标签判断当前用户是否存在
<%@ page language="java" contentType="text/html; charset=UTF-8" pageEncoding= ...
- Python- requests详解
Requests 是用Python语言编写,基于 urllib,采用 Apache2 Licensed 开源协议的 HTTP 库.它比 urllib 更加方便,可以节约我们大量的工作,完全满足 HTT ...
- Spring WebSocket初探2 (Spring WebSocket入门教程)<转>
See more: Spring WebSocket reference整个例子属于WiseMenuFrameWork的一部分,可以将整个项目Clone下来,如果朋友们有需求,我可以整理一个独立的de ...
- java你可能不知道的事(2)--堆和栈<转>
在java语言的学习和使用当中你可能已经了解或者知道堆和栈,但是你可能没有完全的理解它们.今天我们就一起来学习堆.栈的特点以及它们的区别.认识了这个之后,你可能对java有更深的理解. Java堆内存 ...
- 虚拟机安装以及PCL的配置(2)
那我们无论在虚拟机还是在双系统的Ubuntu环境下都是一样的安装过程 我们使用快捷键“ctrl+alt+T”,来打开一个命令窗口如下图 比如我们在命令窗口下输入ls 我们会看到在主目录下的所有文件 下 ...
- 最近玩Bootstrap , 一些小工具 记录在案。
最近玩Bootstrap , 一些小工具 记录在案. 1 定制Bootstrap ,所见即所得的修改Bootstrap的各种变量,即时查看样式的变化. http://bootswatchr.com/ ...