目录结构 Hadoop集群(CDH4)实践之 (0) 前言 Hadoop集群(CDH4)实践之 (1) Hadoop(HDFS)搭建 Hadoop集群(CDH4)实践之 (2) HBaseZookeeper搭建 Hadoop集群(CDH4)实践之 (3) Hive搭建 Hadoop集群(CHD4)实践之 (4) Oozie搭建 Hadoop集群(CHD4)实践之 (5) Sqoop安
目录结构
Hadoop集群(CDH4)实践之 (0) 前言
Hadoop集群(CDH4)实践之 (1) Hadoop(HDFS)搭建
Hadoop集群(CDH4)实践之 (2) HBase&Zookeeper搭建
Hadoop集群(CDH4)实践之 (3) Hive搭建
Hadoop集群(CHD4)实践之 (4) Oozie搭建
Hadoop集群(CHD4)实践之 (5) Sqoop安装
本文内容
Hadoop集群(CHD4)实践之 (4) Oozie搭建
参考资料
http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH4/latest/CDH4-Installation-Guide/CDH4-Installation-Guide.html
环境准备
OS: CentOS 6.4 x86_64
Servers:
hadoop-master: 172.17.20.230 内存10G
- namenode
- hbase-master
hadoop-secondary: 172.17.20.234 内存10G
- secondarybackupnamenode,jobtracker
- hive-server,hive-metastore
- oozie
hadoop-node-1: 172.17.20.231 内存10G sudo yum install hbase-regionserver
- datanode,tasktracker
- hbase-regionserver,zookeeper-server
hadoop-node-2: 172.17.20.232 内存10G
- datanode,tasktracker
- hbase-regionserver,zookeeper-server
hadoop-node-3: 172.17.20.233 内存10G
- datanode,tasktracker
- hbase-regionserver,zookeeper-server
对以上角色做一些简单的介绍：
namenode - 整个HDFS的命名空间管理服务
secondarynamenode - 可以看做是namenode的冗余服务
jobtracker - 并行计算的job管理服务
datanode - HDFS的节点服务
tasktracker - 并行计算的job执行服务
hbase-master - Hbase的管理服务
hbase-regionServer - 对Client端插入，删除，查询数据等提供服务
zookeeper-server - Zookeeper协作与配置管理服务
hive-server - Hive的管理服务
hive-metastore - Hive的元存储，用于对元数据进行类型检查与语法分析
oozie - Oozie是一种Java Web应用程序，用于工作流的定义和管理
本文定义的规范，避免在配置多台服务器上产生理解上的混乱：
以下操作都只需要在 Oozie 所在主机，即 hadoop-secondary 上执行。
1. 安装前的准备
Hadoop集群(CDH4)实践之 (3) Hive搭建
2. 安装Oozie
$ sudo yum install oozie oozie-client
3. 创建Oozie数据库
$ mysql -uroot -phiveserver
mysql> create database oozie; mysql> grant all privileges on oozie.* to 'oozie'@'localhost' identified by 'oozie'; mysql> grant all privileges on oozie.* to 'oozie'@'%' identified by 'oozie'; mysql> exit;
4.配置oozie-site.xml
$ sudo vim /etc/oozie/conf/oozie-site.xml
<?xml version="1.0"?>
oozie.service.ActionService.executor.ext.classes
org.apache.oozie.action.email.EmailActionExecutor,
org.apache.oozie.action.hadoop.HiveActionExecutor,
org.apache.oozie.action.hadoop.ShellActionExecutor,
org.apache.oozie.action.hadoop.SqoopActionExecutor,
org.apache.oozie.action.hadoop.DistcpActionExecutor
oozie.service.SchemaService.wf.ext.schemas
shell-action-0.1.xsd,shell-action-0.2.xsd,email-action-0.1.xsd,hive-action-0.2.xsd,hive-action-0.3.xsd,hive-action-0.4.xsd,hive-action-0.5.xsd,sqoop-action-0.2.xsd,sqoop-action-0.3.xsd,ssh-action-0.1.xsd,ssh-action-0.2.xsd,distcp-action-0.1.xsd
oozie.system.id
oozie-${user.name}
oozie.systemmode
NORMAL
oozie.service.AuthorizationService.security.enabled
false
oozie.service.PurgeService.older.than
30
oozie.service.PurgeService.purge.interval
3600
oozie.service.CallableQueueService.queue.size
10000
oozie.service.CallableQueueService.threads
10
oozie.service.CallableQueueService.callable.concurrency
3
oozie.service.coord.normal.default.timeout
120
oozie.db.schema.name
oozie
oozie.service.JPAService.create.db.schema
true
oozie.service.JPAService.jdbc.driver
com.mysql.jdbc.Driver
oozie.service.JPAService.jdbc.url
jdbc:mysql://localhost:3306/oozie
oozie.service.JPAService.jdbc.username
oozie
oozie.service.JPAService.jdbc.password
oozie
oozie.service.JPAService.pool.max.active.conn
10
oozie.service.HadoopAccessorService.kerberos.enabled
false
local.realm
LOCALHOST
oozie.service.HadoopAccessorService.keytab.file
${user.home}/oozie.keytab
oozie.service.HadoopAccessorService.kerberos.principal
${user.name}/localhost@${local.realm}
oozie.service.HadoopAccessorService.jobTracker.whitelist
oozie.service.HadoopAccessorService.nameNode.whitelist
oozie.service.HadoopAccessorService.hadoop.configurations
*=/etc/hadoop/conf
oozie.service.WorkflowAppService.system.libpath
/user/${user.name}/share/lib
use.system.libpath.for.mapreduce.and.pig.jobs
false
oozie.authentication.type
simple
oozie.authentication.token.validity
36000
oozie.authentication.signature.secret
oozie
oozie.authentication.cookie.domain
oozie.authentication.simple.anonymous.allowed
true
oozie.authentication.kerberos.principal
HTTP/localhost@${local.realm}
oozie.authentication.kerberos.keytab
${oozie.service.HadoopAccessorService.keytab.file}
oozie.authentication.kerberos.name.rules
DEFAULT
oozie.service.ProxyUserService.proxyuser.oozie.hosts
*
oozie.service.ProxyUserService.proxyuser.oozie.groups
*
oozie.service.ProxyUserService.proxyuser.hue.hosts
*
oozie.service.ProxyUserService.proxyuser.hue.groups
*
oozie.action.mapreduce.uber.jar.enable
true
oozie.service.HadoopAccessorService.supported.filesystems
hdfs,viewfs
5. 配置Oozie Web Console
$ cd /tmp/
$ wget http://archive.cloudera.com/gplextras/misc/ext-2.2.zip
$ cd /var/lib/oozie/
$ sudo unzip /tmp/ext-2.2.zip
$ cd ext-2.2/
$ sudo -u hdfs hadoop fs -mkdir /user/oozie
$ sudo -u hdfs hadoop fs -chown oozie:oozie /user/oozie
6. 配置Oozie ShareLib
$ mkdir /tmp/ooziesharelib
$ cd /tmp/ooziesharelib
$ tar xzf /usr/lib/oozie/oozie-sharelib.tar.gz
$ sudo -u oozie hadoop fs -put share /user/oozie/share
$ sudo -u oozie hadoop fs -ls /user/oozie/share
$ sudo -u oozie hadoop fs -ls /user/oozie/share/lib
$ sudo -u oozie hadoop fs -put /usr/lib/hive/lib/hbase.jar /user/oozie/share/lib/hive/
$ sudo -u oozie hadoop fs -put /usr/lib/hive/lib/zookeeper.jar /user/oozie/share/lib/hive/
$ sudo -u oozie hadoop fs -put /usr/lib/hive/lib/hive-hbase-handler-0.10.0-cdh4.5.0.jar /user/oozie/share/lib/hive/
$ sudo -u oozie hadoop fs -put /usr/lib/hive/lib/guava-11.0.2.jar /user/oozie/share/lib/hive/
7. 启动Oozie
$ sudo service oozie start
8. 访问Oozie Web Console
http://hadoop-secondary:11000/oozie
9. 至此，Oozie的搭建就已经完成。
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