- 浏览: 141795 次
- 性别:
- 来自: 深圳
文章分类
- 全部博客 (43)
- web服务器 (1)
- Linux (6)
- MySQL (3)
- xen (1)
- SpringSide (2)
- Windows (1)
- WebService (1)
- Hadoop (12)
- hbase (0)
- sqoop (1)
- Java (1)
- SQL Server 存储过程 xml (0)
- hive mysql (1)
- Eclipse Hadoop 源码 编译 (1)
- Perl (2)
- Shell (1)
- Nutch (1)
- NFS (0)
- CHM (0)
- SVN (1)
- eclipse (1)
- NekoHTML (0)
- MapReduce (0)
- hive (2)
- spring hibernate (0)
- jsp (0)
- CYGWIN (0)
- maven (0)
- selenium server (0)
- CentOS (1)
- hibernate (1)
- spring mvc (0)
- Mahout (0)
- openvpn (0)
- vpn (0)
- kvm (0)
- git (1)
- CPU (1)
- thrift avro (0)
最新评论
-
rmn190:
不错, 多谢分享!
hdfs mount为linux本地文件系统 -
melburg:
请教一下,hadoop 1.0.3版本中,为什么无法启动bac ...
Hadoop SecondaryNameNode备份及恢复
注:Hadoop环境搭建请参考上一篇文档。
环境:
10.0.30.235 nn0001 NameNode/HBase HMaster
10.0.30.236 snn0001 SecondaryNameNode/HBase HMaster
10.0.30.237 dn0001 DataNode/Zookeeper/HBase HRegionServer
10.0.30.238 dn0002 DataNode/Zookeeper/HBase HRegionServer
10.0.30.239 dn0003 DataNode/Zookeeper/HBase HRegionServer
(生产环境需要把zookeeper单独安装)
集群的启动顺序:Hadoop-->Zookeeper-->HBase Master
下载zookeeper-3.3.4.tar.gz
[root@nn0001 conf]# tar zxvf zookeeper-3.3.4.tar.gz
[root@nn0001 conf]# cp zoo_sample.cfg zoo.cfg
Running ZooKeeper in standalone mode is convenient for evaluation, some development, and testing. But in production, you should run ZooKeeper in replicated mode.
[root@nn0001 conf]# vim zoo.cfg
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
dataDir=/hadoop/zookeeper
# the port at which the clients will connect
clientPort=2181
server.1=dn0001:2888:3888
server.2=dn0002:2888:3888
server.3=dn0003:2888:3888
注:server.A=B:C:D:其中 A 是一个数字,表示这个是第几号服务器;B 是这个服务器的 ip 地址;C 表示的是这个服务器与集群中的 Leader 服务器交换信息的端口;D 表示的是万一集群中的 Leader 服务器挂了,需要一个端口来重新进行选举,选出一个新的 Leader,而这个端口就是用来执行选举时服务器相互通信的端口。如果是伪集群的配置方式,由于 B 都是一样,所以不同的 Zookeeper 实例通信端口号不能一样,所以要给它们分配不同的端口号。
除了修改 zoo.cfg 配置文件,集群模式下还要配置一个文件 myid,这个文件在 dataDir 目录下,这个文件里面就有一个数据就是 A 的值,Zookeeper 启动时会读取这个文件,拿到里面的数据与 zoo.cfg 里面的配置信息比较从而判断到底是那个 server。
在dn0001/dn0002/dn0003三台服务器的dataDir下面新建myid
里面的值分别为1、2、3,对应上面的数字,而且一定是数字
把配置好的zookeeper-3.3.4拷贝到dn0001/dn0002/dn0003服务器
分别在三台服务器上执行
[root@nn0001 bin]# ./zkServer.sh start
JMX enabled by default
Using config: /download/zookeeper-3.3.4/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[root@nn0001 bin]# ./zkServer.sh status
JMX enabled by default
Using config: /download/zookeeper-3.3.4/bin/../conf/zoo.cfg
Error contacting service. It is probably not running.
查看zookeeper状态,会出现以下错误,这是因为在CentOS 5.6上,nc版本不同,没有-q参数,更改脚本去掉-q 1即可
[root@nn0001 bin]# echo stat|nc -q 1 localhost
nc: invalid option -- q
usage: nc [-46DdhklnrStUuvzC] [-i interval] [-p source_port]
[-s source_ip_address] [-T ToS] [-w timeout] [-X proxy_version]
[-x proxy_address[:port]] [hostname] [port[s]]
-bash: echo: write error: Broken pipe
另外,可以通过echo stat|nc localhost 2181来查看状态
[root@nn0001 bin]# echo stat | nc localhost 2181
Zookeeper version: 3.3.3-1203054, built on 11/17/2011 05:47 GMT
Clients:
/127.0.0.1:34378[0](queued=0,recved=1,sent=0)
Latency min/avg/max: 0/0/0
Received: 1
Sent: 0
Outstanding: 0
Zxid: 0x100000000
Mode: follower
Node count: 4
配置HBase(所有服务器)
[root@nn0001 conf]# vim hbase-env.sh
export JAVA_HOME=/usr/java/jdk1.6.0_26
export HBASE_MANAGES_ZK=false
[root@nn0001 conf]# vim hbase-site.xml
<configuration>
<property>
<name>hbase.rootdir</name>
<value>hdfs://nn0001:9000/hbase</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<property>
<name>hbase.master</name>
<value>nn0001</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>dn0001,dn0002,dn0003</value>
</property>
<property>
<name>zookeeper.session.timeout</name>
<value>60000</value>
</property>
<!--<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
</property>
<property>
<name>dfs.datanode.max.xcievers</name>
<value>4096</value>
</property>-->
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/hadoop/zookeeper</value>
</property>
</configuration>
注意两个重要的配置参数:
第一个是由于在hadoop 0.20.205.x之前的版本没有持久的同步机制,导致hbase丢失数据
<property>
<name>dfs.support.append</name>
<value>true</value>
</property>
第二个是由于datanode每次接收服务的文件数量有一个上限值
<property>
<name>dfs.datanode.max.xcievers</name>
<value>4096</value>
</property>
具体说明详见:
http://hbase.apache.org/book/hadoop.html
[root@nn0001 conf]# vim regionservers
dn0001
dn0002
dn0003
在namenode上启动hbase
[root@nn0001 bin]# ./start-hbase.sh
java.io.IOException: Call to nn0001/10.0.30.235:9000 failed on local exception: java.io.EOFException
at org.apache.hadoop.ipc.Client.wrapException(Client.java:775)
at org.apache.hadoop.ipc.Client.call(Client.java:743)
at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:220)
at $Proxy5.getProtocolVersion(Unknown Source)
at org.apache.hadoop.ipc.RPC.getProxy(RPC.java:359)
at org.apache.hadoop.hdfs.DFSClient.createRPCNamenode(DFSClient.java:113)
at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:215)
at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:177)
at org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:82)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1378)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:66)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1390)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:196)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:175)
at org.apache.hadoop.hbase.util.FSUtils.getRootDir(FSUtils.java:363)
at org.apache.hadoop.hbase.master.MasterFileSystem.<init>(MasterFileSystem.java:81)
at org.apache.hadoop.hbase.master.HMaster.finishInitialization(HMaster.java:342)
at org.apache.hadoop.hbase.master.HMaster.run(HMaster.java:279)
Caused by: java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:375)
at org.apache.hadoop.ipc.Client$Connection.receiveResponse(Client.java:501)
at org.apache.hadoop.ipc.Client$Connection.run(Client.java:446)
官方说明:http://hbase.apache.org/book/hadoop.html
HBase 0.90.x does not ship with hadoop-0.20.205.x, etc. To make it run, you need to replace the hadoop jars that HBase shipped with in its lib
directory with those of the Hadoop you want to run HBase on. If even after replacing Hadoop jars you get the below exception:
sv4r6s38: Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/commons/configuration/Configuration sv4r6s38: at org.apache.hadoop.metrics2.lib.DefaultMetricsSystem.<init>(DefaultMetricsSystem.java:37) sv4r6s38: at org.apache.hadoop.metrics2.lib.DefaultMetricsSystem.<clinit>(DefaultMetricsSystem.java:34) sv4r6s38: at org.apache.hadoop.security.UgiInstrumentation.create(UgiInstrumentation.java:51) sv4r6s38: at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:209) sv4r6s38: at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:177) sv4r6s38: at org.apache.hadoop.security.UserGroupInformation.isSecurityEnabled(UserGroupInformation.java:229) sv4r6s38: at org.apache.hadoop.security.KerberosName.<clinit>(KerberosName.java:83) sv4r6s38: at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:202) sv4r6s38: at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:177)
you need to copy under hbase/lib
, the commons-configuration-X.jar
you find in your Hadoop's lib
directory. That should fix the above complaint.
起初以为是不支持hadoop-0.20.205.0,换成hadoop-0.20.203.0,仍然存在同样的问题。
最后发现是没有用hadoop的jar替换hbase/lib下面的jar,具体替换如下:
1、删除hbase/lib/hadoop-core-0.20-append-r1056497.jar
2、导入hadoop/hadoop-core-0.20.203.0.jar和hadoop/lib/commons-collections-3.2.1.jar
2012-01-25 12:09:31,554 ERROR org.apache.hadoop.hbase.master.HMasterCommandLine: Failed to start master
java.lang.RuntimeException: Failed construction of Master: class org.apache.hadoop.hbase.master.HMaster
at org.apache.hadoop.hbase.master.HMaster.constructMaster(HMaster.java:1065)
at org.apache.hadoop.hbase.master.HMasterCommandLine.startMaster(HMasterCommandLine.java:142)
at org.apache.hadoop.hbase.master.HMasterCommandLine.run(HMasterCommandLine.java:102)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.hbase.util.ServerCommandLine.doMain(ServerCommandLine.java:76)
at org.apache.hadoop.hbase.master.HMaster.main(HMaster.java:1079)
Caused by: java.lang.ClassNotFoundException: org.apache.commons.configuration.Configuration
at java.net.URLClassLoader$1.run(URLClassLoader.java:202)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
at org.apache.hadoop.metrics2.lib.DefaultMetricsSystem.<init>(DefaultMetricsSystem.java:37)
at org.apache.hadoop.metrics2.lib.DefaultMetricsSystem.<clinit>(DefaultMetricsSystem.java:34)
at org.apache.hadoop.security.UgiInstrumentation.create(UgiInstrumentation.java:51)
at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:196)
at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:159)
at org.apache.hadoop.security.UserGroupInformation.isSecurityEnabled(UserGroupInformation.java:216)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.hbase.util.Methods.call(Methods.java:37)
at org.apache.hadoop.hbase.security.User.call(User.java:457)
at org.apache.hadoop.hbase.security.User.callStatic(User.java:447)
at org.apache.hadoop.hbase.security.User.access$200(User.java:49)
at org.apache.hadoop.hbase.security.User$SecureHadoopUser.isSecurityEnabled(User.java:435)
at org.apache.hadoop.hbase.security.User$SecureHadoopUser.login(User.java:406)
at org.apache.hadoop.hbase.security.User.login(User.java:146)
at org.apache.hadoop.hbase.master.HMaster.<init>(HMaster.java:202)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:39)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27)
at java.lang.reflect.Constructor.newInstance(Constructor.java:513)
at org.apache.hadoop.hbase.master.HMaster.constructMaster(HMaster.java:1060)
... 5 more
这个是因为缺少hadoop/lib/commons-configuration-1.6.jar包,把这个包导入到hbase/lib下
WARN org.apache.zookeeper.ClientCnxn: Session 0x0 for server null, unexpected error, closing socket connection and attempting reconnect
java.net.ConnectException: Connection refused
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:567)
at org.apache.zookeeper.ClientCnxn$SendThread.run(ClientCnxn.java:1119)
这是因为没有先启动dn上面的zookeeper导致的,要先启动zookeeper,然后再启动hbase
WARN org.apache.hadoop.hbase.master.ServerManager: Server dn0001,60020,1327465650410 has been rejected; Reported time is too far out of sync with master. Time difference of 162817ms > max allowed of 30000ms
这是因为几台服务器时间没有同步。
org.apache.hadoop.ipc.RemoteException: org.apache.hadoop.hbase.ipc.ServerNotRunningException: Server is not running yet
at org.apache.hadoop.hbase.ipc.HBaseServer$Handler.run(HBaseServer.java:1038)
at org.apache.hadoop.hbase.ipc.HBaseClient.call(HBaseClient.java:771)
at org.apache.hadoop.hbase.ipc.HBaseRPC$Invoker.invoke(HBaseRPC.java:257)
at $Proxy7.getProtocolVersion(Unknown Source)
at org.apache.hadoop.hbase.ipc.HBaseRPC.getProxy(HBaseRPC.java:419)
at org.apache.hadoop.hbase.ipc.HBaseRPC.getProxy(HBaseRPC.java:393)
at org.apache.hadoop.hbase.ipc.HBaseRPC.getProxy(HBaseRPC.java:444)
at org.apache.hadoop.hbase.ipc.HBaseRPC.waitForProxy(HBaseRPC.java:349)
at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.getHRegionConnection(HConnectionManager.java:1176)
at org.apache.hadoop.hbase.catalog.CatalogTracker.getCachedConnection(CatalogTracker.java:415)
at org.apache.hadoop.hbase.catalog.CatalogTracker.waitForRootServerConnection(CatalogTracker.java:240)
at org.apache.hadoop.hbase.catalog.CatalogTracker.verifyRootRegionLocation(CatalogTracker.java:487)
at org.apache.hadoop.hbase.master.HMaster.assignRootAndMeta(HMaster.java:425)
at org.apache.hadoop.hbase.master.HMaster.finishInitialization(HMaster.java:383)
at org.apache.hadoop.hbase.master.HMaster.run(HMaster.java:279)
org.apache.hadoop.hbase.catalog.RootLocationEditor: Unsetting ROOT region location in ZooKeeper
日志还出现上面两个问题,暂时没找到原因,系统可以正常启动!
nn0001上面master启动日志:
Wed Jan 25 11:45:42 CST 2012 Starting master on nn0001
ulimit -n 1024
2012-01-25 11:45:44,226 INFO org.apache.hadoop.hbase.ipc.HBaseRpcMetrics: Initializing RPC Metrics with hostName=HMaster, port=60000
2012-01-25 11:45:46,357 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server Responder: starting
2012-01-25 11:45:46,364 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server listener on 60000: starting
2012-01-25 11:45:46,364 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 0 on 60000: starting
2012-01-25 11:45:46,419 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 9 on 60000: starting
2012-01-25 11:45:46,419 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 4 on 60000: starting
2012-01-25 11:45:46,415 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 8 on 60000: starting
2012-01-25 11:45:46,415 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 7 on 60000: starting
2012-01-25 11:45:46,415 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 6 on 60000: starting
2012-01-25 11:45:46,414 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 5 on 60000: starting
2012-01-25 11:45:46,414 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 3 on 60000: starting
2012-01-25 11:45:46,365 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 2 on 60000: starting
2012-01-25 11:45:46,365 INFO org.apache.hadoop.ipc.HBaseServer: IPC Server handler 1 on 60000: starting
2012-01-25 11:45:46,628 INFO org.apache.zookeeper.ZooKeeper: Client environment:zookeeper.version=3.3.2-1031432, built on 11/05/2010 05:32 GMT
2012-01-25 11:45:46,628 INFO org.apache.zookeeper.ZooKeeper: Client environment:host.name=nn0001
2012-01-25 11:45:46,628 INFO org.apache.zookeeper.ZooKeeper: Client environment:java.version=1.6.0_26
2012-01-25 11:45:46,628 INFO org.apache.zookeeper.ZooKeeper: Client environment:java.vendor=Sun Microsystems Inc.
2012-01-25 11:45:46,628 INFO org.apache.zookeeper.ZooKeeper: Client environment:java.home=/usr/java/jdk1.6.0_26/jre
待续!
- hadoop-config.rar (1.5 KB)
- 下载次数: 31
发表评论
-
升级hadoop
2013-10-09 10:21 1452在没有更换前先备份数据 [hadoop@Hadoop-1 ... -
hadoop的Avatar机制
2013-08-21 15:45 0http://www.wangyuxiong.com/arch ... -
hive
2013-07-31 14:12 0hive行号 select row_number() o ... -
Hadoop RACK ID Awareness Configuration
2013-01-25 17:21 0The configuration includes ... -
window hadoop
2012-12-28 14:31 0http://hayesdavis.net/2008/06/1 ... -
hadoop读写流程
2012-07-27 15:20 0客户端通过调用FileSystem ... -
hadoop三个配置文件的参数含义说明
2012-07-14 13:03 02 常用的端口配置 2.1 HDFS端 ... -
编译hadoop 1.0.3 eclipse plugin jar包
2012-09-13 10:32 2378环境:Win 7 32bit 1、修改hadoop- ... -
编译hadoop 1.0.3 eclipse plugin jar包
2012-07-07 23:21 3969环境:Win 7 32bit 1、修改hadoop-1. ... -
hadoop fsck使用
2012-05-08 15:05 0首先,执行fsck命令行的客户端必须在hdfs-site.xm ... -
hive使用
2012-05-03 17:33 0[root@cnn001 hive-0.8.1]# bin/h ... -
AvatarNode
2012-04-24 13:28 0http://blog.csdn.net/rzhzhz/art ... -
hdfs mount为linux本地文件系统
2012-03-21 00:08 45431、软件下载 hdfs-webdav.war http:/ ... -
扩展hadoop hdfs,实现WebDav协议,将hdfs mount为linux本地文件系统
2012-03-15 16:18 1556本文引自:http://badqiu.iteye.com/bl ... -
Hadoop MapReduce统计指定目录下所有文本文件中数字总和
2012-03-06 16:16 0package org.apache.hadoop.exa ... -
Hadoop NameNode NFS备份及恢复
2012-02-16 14:28 1517准备任意一台Linux服务器 [root@localhost ... -
Hadoop SecondaryNameNode备份及恢复
2012-02-15 17:22 68811、同步各个服务器时间 yum install ntp n ... -
Hadoop 0.20.205.0安装配置
2012-02-15 15:55 1281环境: 10.0.30.235 NameNode ... -
hadoop mapred-default.xml配置文件
2012-02-15 13:25 4200name value description ... -
hadoop hdfs-default.xml配置文件
2012-02-15 13:05 4177name value description d ...
相关推荐
提供的文档`hadoop_zookeeper_hbase集群配置.docx`应包含详细的步骤和配置示例,而`配置文件.rar`则可能包含了预设的配置模板,可以作为配置参考。在实际操作时,务必根据具体环境调整配置,确保所有节点之间的网络...
在搭建HBase集群时,我们需要配置HBase的主RegionServer(Master)、RegionServer实例以及与Zookeeper的连接。此外,还要设置表和列族的属性,如块大小、缓存设置等,以优化性能。 在实际搭建过程中,首先,你需要...
Hadoop HA高可用集群搭建(Hadoop+Zookeeper+HBase) 一、Hadoop HA高可用集群概述 在大数据处理中,高可用集群是非常重要的,Hadoop HA高可用集群可以提供高可靠性和高可用性,确保数据处理不中断。该集群由...
3. ZooKeeper:ZooKeeper是一个分布式协调服务,用于管理Hadoop和HBase集群。 二、机器集群结构分布 在本文中,我们将使用8台曙光服务器搭建集群,每台服务器的IP地址和主机名如下: | 主机名 | IP地址 | 安装的...
本配置文件集专注于利用 Docker 搭建一个 HBase 集群,其中涉及到的关键知识点包括 Docker 的基本操作、Hadoop 的分布式文件系统(HDFS)、Zookeeper 的协调服务以及 HBase 的数据存储模型。 首先,了解 Docker 是...
9. **Hbase集群配置**:Hbase依赖于Hadoop的HDFS服务,需要在Hadoop集群配置的基础上,进一步配置Hbase的`hbase-site.xml`,指定Zookeeper的地址,以及其他相关参数。 10. **Zookeeper配置**:Zookeeper是Hadoop...
大数据平台搭建之 Hadoop+Zookeeper+Hbase+Hive 部署指南 大数据平台搭建是指通过集成多种大数据处理技术,构建一个功能强大、可靠、高效的数据处理平台。本文档主要介绍如何部署 Hadoop、Zookeeper、Hbase、Hive ...
这个压缩包中的所有文件合在一起,构成了一个完整的Hadoop、Zookeeper和HBase集群的构建指南,对于学习和实践大数据处理的用户来说是一份宝贵的资源。通过遵循这些文档,用户不仅可以了解大数据组件的基本概念,还能...
Docker(Hadoop_3.3.1+HBase_2.4.16+Zookeeper_3.7.1+Hive_3.1.3 )配置文件 搭建集群环境
- 配置HBase的`hbase-site.xml`以指定Zookeeper地址和集群模式。 - 启动HBase服务,包括Master和RegionServer。 3. **Spark**:Spark是一个快速、通用且可扩展的大数据处理引擎,支持批处理、交互式查询、流处理...
Zookeeper是Hadoop和HBase集群环境中的核心组件,负责节点管理和配置管理。安装Zookeeper需要下载zookeeper-3.4.5.tar.gz安装包,然后解压缩并配置Zookeeper。 HBase0.96安装和部署 HBase是基于Hadoop的NoSQL...
4. **启动HBase**:启动Master和RegionServer,确保HBase集群运行。 5. **验证HBase**:创建表,插入数据,进行查询以验证安装。 **Zookeeper的安装部署**: 1. **下载Zookeeper**:获取最新稳定版。 2. **配置...
自己整理的Hadoop环境的一些安装,和一些简单的使用,其中包括Hadoop、hbase、hive、mysql、zookeeper、Kafka、flume。都是一些简单的安装步骤和使用,只在自己的虚拟机(Linux centOS7)上使用测试过。按照步骤一步...
根据提供的标题、描述、标签及部分内容链接,我们可以推断出这是一个关于大数据技术栈的培训课程,涉及的技术包括Hadoop、HBase、Zookeeper、Spark、Kafka、Scala以及Ambari。下面将针对这些技术进行详细的介绍和...
企业内部实际 hadoop zookeeper hbase搭建步骤明细
jdk1.8.0_131、apache-zookeeper-3.8.0、hadoop-3.3.2、hbase-2.4.12 mysql5.7.38、mysql jdbc驱动mysql-connector-java-8.0.8-dmr-bin.jar、 apache-hive-3.1.3 2.本文软件均安装在自建的目录/export/server/下 ...
【Hadoop与HBase部署文档】 ...完成上述步骤后,你就成功地部署了Hadoop和HBase集群,可以开始进行大数据的存储和处理任务。然而,部署只是第一步,后期的运维和优化同样重要,包括性能监控、故障排查和系统升级等。
下面将详细阐述在Hadoop 2.7.1版本和CentOS 6.5 64位操作系统环境下,如何进行Hadoop与HBase集群的安装和部署。 首先,我们需要准备硬件环境,包括多台配置相同的服务器,它们将作为集群的节点。确保所有机器之间...
- **配置HBase连接**:在`hbase-site.xml`配置文件中,你需要指定HBase的Zookeeper地址,这样MapReduce任务就能找到HBase集群。 - **编写Mapper和Reducer**:接着,编写MapReduce作业,Mapper类负责从HBase中读取...