标签为 Oozie 的文章

分享一个Oozie Job Debug脚本

由 mcsrainbow 发表在 Linux&Unix 分类，时间 2016/05/24

参考资料：
https://oozie.apache.org/docs/4.0.0/WebServicesAPI.html

背景介绍：
在我们的线上Hadoop集群中，采用了Oozie来作为Workflow的管理，而平时有不少Workflow在执行过程中会因为各种问题而失败。
于是，我们通常都会通过Oozie Web Console去Troubleshooting，但是整个过程并不方便，在研究了Oozie API之后，我写了一个脚本来自动化的帮我们完成绝大部分的Troubleshooting步骤。

具体配置：
整个脚本需要模拟的Troubleshooting思路如下：
1. 获取整个Workflow所有步骤的信息，通常的状态有：OK,RUNNING,FAILED,KILLED,ERROR
2. 对FAILED,KILLED,ERROR状态的步骤，首先获取其consoleUrl，然后进一步获取更有价值的logsLinks，同时打印相关的调试信息，并导出该步骤的相关XML配置文件

脚本地址：https://github.com/mcsrainbow/python-demos/blob/master/demos/debug_oozie_job.py

执行示例：

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Hadoop运维笔记 之 CDH5.0.0升级到CDH5.3.0

由 mcsrainbow 发表在 Corporation, Linux&Unix 分类，时间 2015/05/08

参考资料：
Hadoop: http://www.cloudera.com/content/cloudera/en/documentation/core/v5-3-x/topics/cdh_ig_earlier_cdh5_upgrade.html?scroll=topic_8
Oozie: http://www.cloudera.com/content/cloudera/en/documentation/core/v5-3-x/topics/cdh_ig_oozie_upgrade.html
Hive: http://www.cloudera.com/content/cloudera/en/documentation/core/v5-3-x/topics/cdh_ig_hive_upgrade.html
Pig: http://www.cloudera.com/content/cloudera/en/documentation/core/v5-3-x/topics/cdh_ig_pig_upgrade.html

1. 在所有Hadoop服务器上停止Monit(我们线上使用了Monit来监听进程)
登录idc2-admin1(我们线上使用了idc2-admin1作为管理机以及Yum repo服务器)
# mkdir /root/cdh530_upgrade_from_500
# cd /root/cdh530_upgrade_from_500
# pssh -i -h idc2-hnn-rm-hive ‘service monit stop’
# pssh -i -h idc2-hmr.active ‘service monit stop’

2. 确认本地的CDH5.3.0的Yum repo服务器已经就绪
http://idc2-admin1/repo/cdh/5.3.0/
http://idc2-admin1/repo/cloudera-gplextras5.3.0/

3. 在Ansible中更新相应的repo模板(我们线上使用了Ansible作为配置管理工具)

{% if "idc2" in group_names %}

...

{% if "cdh5-all" in group_names %}
[heylinux.el6.cloudera-cdh5.3.0]
name= el6 yum cloudera cdh5.3.0
baseurl=http://idc2-admin1/repo/cdh/5.3.0
enabled=1
gpgcheck=0

[heylinux.el6.cloudera-gplextras5.3.0]
name= el6 yum cloudera gplextras5.3.0
baseurl=http://idc2-admin1/repo/cloudera-gplextras5.3.0
enabled=1
gpgcheck=0
{% else %}

...

{% endif %}

4. 更新所有Hadoop服务器的repo文件(/etc/yum.repos.d/heylinux.repo)
# ansible-playbook –private-key /path/to/key_root -u root –vault-password-file=/path/to/vault_passwd.file base.yml -i hosts.idc2 –tags localrepos –limit cdh5-all

5. 升级HDFS相关内容
5.1. 获取当前的Activie Namenode(我们在线上的DNS服务器中创建了一个始终检查并指向Active Namenode的CNAME)
# host active-idc2-hnn
active-idc2-hnn.heylinux.com is an alias for idc2-hnn2.heylinux.com
idc2-hnn2.heylinux.com has address 172.16.2.12

5.2. 在Active NameNode上进入safe mode并生成新的fsimage，并等待整个过程结束。
# sudo -u hdfs hdfs dfsadmin -safemode enter
# sudo -u hdfs hdfs dfsadmin -saveNamespace

5.3 关闭所有的Hadoop服务
回到idc2-admin1上的工作目录
# cd /root/cdh530_upgrade_from_500

首先通过pssh批量关闭Namenode，ResourceManager以及Hive服务器上的Hadoop相关进程(将对应的服务器地址或主机名列表写入到idc2-hnn-rm-hive与idc2-hmr.active)
# pssh -i -h idc2-hnn-rm-hive ‘for x in `cd /etc/init.d ; ls hadoop-*` ; do sudo service $x status ; done’
# pssh -i -h idc2-hmr.active ‘for x in `cd /etc/init.d ; ls hadoop-*` ; do sudo service $x status ; done’

# pssh -i -h idc2-hnn-rm-hive ‘for x in `cd /etc/init.d ; ls hadoop-*` ; do sudo service $x stop ; done’
# pssh -i -h idc2-hmr.active ‘for x in `cd /etc/init.d ; ls hadoop-*` ; do sudo service $x stop ; done’

# 检查如果存在与新版本相冲突的libhadoop.so文件，如果存在则删除(我们线上安装了Snappy，它会自己生成一个与CDH5.3.0自带的libhadoop.so相冲突的文件并放置到当前的JDK lib目录下面)。
# pssh -i -h idc2-hnn-rm-hive ‘rm -f /usr/java/jdk1.7.0_45/jre/lib/amd64/libhadoop.so’
# pssh -i -h idc2-hmr.active ‘rm -f /usr/java/jdk1.7.0_45/jre/lib/amd64/libhadoop.so’
Backup the HDFS metadata on the NameNodes

在Namenodes上备份metadata文件(我们线上有两个Namenode组成的HA，分别为idc2-hnn1与idc2-hnn2：
# mkdir /root/cdh530upgrade
# cd /root/cdh530upgrade
# tar -cf /root/nn_backup_data.data1.`date +%Y%m%d`.tar /data1/dfs/nn
# tar -cf /root/nn_backup_data.data2.`date +%Y%m%d`.tar /data2/dfs/nn

6. 升级Hadoop相关软件包
登录并升级Hive服务器idc2-hive1
# yum clean all; yum upgrade hadoop

登录并升级ResourceManager服务器idc2-rm1与idc2-rm2
# yum clean all; yum upgrade hadoop

回到idc2-admin1并升级所有的Datanode服务器idc2-hmr*
# pssh -i -h idc2-hmr.active ‘yum clean all; yum upgrade hadoop hadoop-lzo -y’

登录并升级idc2-hnn1(Standby Namenode,由之前的host active-idc2-hnn命令判断得来)
# yum clean all; yum upgrade hadoop hadoop-lzo

登录并升级idc2-hnn2(Active Namenode,由之前的host active-idc2-hnn命令判断得来)
# yum clean all; yum upgrade hadoop hadoop-lzo

回到idc2-admin1并升级所有的Hadoop Clients
# pssh -i -h idc2-client ‘yum clean all; yum upgrade hadoop -y’

7. 启动相关服务
登录并启动Journal Nodes服务(我们线上为idc2-hnn1, idc2-hnn2, idc2-rm1三台服务器)
# service hadoop-hdfs-journalnode start

登录所有的DataNode并启动服务(我们线上为idc2-hmr*服务器)
# service hadoop-hdfs-datanode start

登录Active NameNode并更新HDFS Metadata
# service hadoop-hdfs-namenode upgrade
# tailf /var/log/hadoop/hadoop-hdfs-namenode-`hostname -s`.heylinux.com.log

一直等待直到整个过程结束，例如在Log中出现如下类似内容:
/var/lib/hadoop-hdfs/cache/hadoop/dfs/<name> is complete.

等待直至NameNode退出Safe Mode，然后重启Standby NameNode

登录Standby NameNode并重启服务
# sudo -u hdfs hdfs namenode -bootstrapStandby
# service hadoop-hdfs-namenode start

登录所有的ResourceManager并启动服务
# service hadoop-yarn-resourcemanager start

登录所有的NodeManager并启动服务(我们线上为idc2-hmr*服务器)
# service hadoop-yarn-nodemanager start

在Active ResourceManager上启动HistoryServer(我们线上为idc2-rm1服务器)
# service hadoop-mapreduce-historyserver start

至此，整个Hadoop相关的升级就结束了，下面，将对Hive,Oozie和Pig的升级做相应的介绍。

8. 升级Hive与Oozie服务器(我们线上统一安装到了一台机器idc2-hive1)
8.1 升级Hive服务器
备份Metastore数据库
# mkdir -p /root/backupfiles/hive
# cd /root/backupfiles/hive
# mysqldump -uoozie -pheylinux metastore > metastore.sql.bak.`date +%Y%m%d`

更新hive-site.xml

Confirm the following settings are present in hive-site.xml
<property>
  <name>datanucleus.autoCreateSchema</name>
  <value>false</value>
</property>
  <property>
  <name>datanucleus.fixedDatastore</name>
  <value>true</value>
</property>

停止Hive相关服务
# service hive-server2 stop
# service hive-metastore stop

升级Hive相关软件包
# yum upgrade hive hive-metastore hive-server2 hive-jdbc
# yum install hive-hbase hive-hcatalog hive-webhcat

升级Hive的Metastore
# sudo -u oozie /usr/lib/hive/bin/schematool -dbType mysql -upgradeSchemaFrom 0.12.0

启动Hive服务
# service hive-metastore start
# service hive-server2 start

8.2 升级Oozie服务器
备份Oozie数据库
# mkdir -p /root/backupfiles/hive
# cd /root/backupfiles/hive
# mysqldump -uoozie -pheylinux oozie > oozie.sql.bak.`date +%Y%m%d`

备份Oozie配置文件
# tar cf oozie.conf.bak.`date +%Y%m%d` /etc/oozie/conf

停止Oozie
# service oozie stop

升级Oozie软件包
# yum upgrade oozie oozie-client

仔细校对新的配置文件中与原有配置文件中的参数，并将原有配置文件中的参数更新到新的配置文件

备份Oozie lib目录
# tar cf oozie.lib.bak.`date +%Y%m%d` /var/lib/oozie

升级Oozie数据库
# sudo -u oozie /usr/lib/oozie/bin/ooziedb.sh upgrade -run

升级Oozie Shared Library
# sudo -u oozie hadoop fs -mv /user/oozie/share /user/oozie/share.orig.`date +%Y%m%d`
# sudo oozie-setup sharelib create -fs hdfs://idc1-hnn2:8020 -locallib /usr/lib/oozie/oozie-sharelib-yarn.tar.gz

将所有的library从目录/user/oozie/share/lib/lib_<new_date_string>移动到/user/oozie/share/lib(<new_date_string>为目录生成后上面的时间戳)
# sudo -u oozie mv /user/oozie/share/lib/lib_<new_date_string>/* /user/oozie/share/lib/

检查HDFS中/user/oozie/share目录下的所有文件，并与备份后的share.orig.`date +%Y%m%d`中的文件进行一一对比，除了带有”cdh5″版本字样的软件包仅保留更新的以外，其它的都复制到新的lib目录下。

启动Oozie服务器
# service oozie start

9. 升级Pig
杀掉所有正在运行的Pig进程
# pkill -kill -f pig

更新Pig软件包
# yum upgrade pig

10. 在所有的软件包都升级完毕，并且HDFS也能正常工作的情况下，执行finalizeUpgrade命令做最后的收尾
登录Active Namenode并执行以下命令
# sudo -u hdfs hdfs dfsadmin -finalizeUpgrade

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Hadoop集群(CHD4)实践之 (4) Oozie搭建

由 mcsrainbow 发表在 Corporation, Linux&Unix 分类，时间 2013/12/02

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"?>
<configuration>
    <property>
        <name>oozie.service.ActionService.executor.ext.classes</name>
        <value>
            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
        </value>
    </property>
    <property>
        <name>oozie.service.SchemaService.wf.ext.schemas</name>
        <value>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</value>
    </property>
    <property>
        <name>oozie.system.id</name>
        <value>oozie-${user.name}</value>
    </property>
    <property>
        <name>oozie.systemmode</name>
        <value>NORMAL</value>
    </property>
    <property>
        <name>oozie.service.AuthorizationService.security.enabled</name>
        <value>false</value>
    </property>
    <property>
        <name>oozie.service.PurgeService.older.than</name>
        <value>30</value>
    </property>
    <property>
        <name>oozie.service.PurgeService.purge.interval</name>
        <value>3600</value>
    </property>
    <property>
        <name>oozie.service.CallableQueueService.queue.size</name>
        <value>10000</value>
    </property>
    <property>
        <name>oozie.service.CallableQueueService.threads</name>
        <value>10</value>
    </property>
    <property>
        <name>oozie.service.CallableQueueService.callable.concurrency</name>
        <value>3</value>
    </property>
    <property>
        <name>oozie.service.coord.normal.default.timeout
	</name>
	<value>120</value>
    </property>

    <property>
        <name>oozie.db.schema.name</name>
        <value>oozie</value>
    </property>
    <property>
        <name>oozie.service.JPAService.create.db.schema</name>
        <value>true</value>
    </property>

    <property>
        <name>oozie.service.JPAService.jdbc.driver</name>
        <value>com.mysql.jdbc.Driver</value>
    </property>
    <property>
        <name>oozie.service.JPAService.jdbc.url</name>
        <value>jdbc:mysql://localhost:3306/oozie</value>
    </property>
    <property>
        <name>oozie.service.JPAService.jdbc.username</name>
        <value>oozie</value>
    </property>
    <property>
        <name>oozie.service.JPAService.jdbc.password</name>
        <value>oozie</value>
    </property>

    <property>
        <name>oozie.service.JPAService.pool.max.active.conn</name>
        <value>10</value>
    </property>

    <property>
        <name>oozie.service.HadoopAccessorService.kerberos.enabled</name>
        <value>false</value>
    </property>
    <property>
        <name>local.realm</name>
        <value>LOCALHOST</value>
    </property>
    <property>
        <name>oozie.service.HadoopAccessorService.keytab.file</name>
        <value>${user.home}/oozie.keytab</value>
    </property>
    <property>
        <name>oozie.service.HadoopAccessorService.kerberos.principal</name>
        <value>${user.name}/localhost@${local.realm}</value>
    </property>
    <property>
        <name>oozie.service.HadoopAccessorService.jobTracker.whitelist</name>
        <value> </value>
    </property>
    <property>
        <name>oozie.service.HadoopAccessorService.nameNode.whitelist</name>
        <value> </value>
    </property>

    <property>
        <name>oozie.service.HadoopAccessorService.hadoop.configurations</name>
        <value>*=/etc/hadoop/conf</value>
    </property>
    <property>
        <name>oozie.service.WorkflowAppService.system.libpath</name>
        <value>/user/${user.name}/share/lib</value>
    </property>

    <property>
        <name>use.system.libpath.for.mapreduce.and.pig.jobs</name>
        <value>false</value>
    </property>

    <property>
        <name>oozie.authentication.type</name>
        <value>simple</value>
    </property>
    <property>
        <name>oozie.authentication.token.validity</name>
        <value>36000</value>
    </property>
    <property>
        <name>oozie.authentication.signature.secret</name>
        <value>oozie</value>
    </property>

    <property>
      <name>oozie.authentication.cookie.domain</name>
      <value></value>
    </property>

    <property>
        <name>oozie.authentication.simple.anonymous.allowed</name>
        <value>true</value>
    </property>

    <property>
        <name>oozie.authentication.kerberos.principal</name>
        <value>HTTP/localhost@${local.realm}</value>
    </property>

    <property>
        <name>oozie.authentication.kerberos.keytab</name>
        <value>${oozie.service.HadoopAccessorService.keytab.file}</value>
    </property>

    <property>
        <name>oozie.authentication.kerberos.name.rules</name>
        <value>DEFAULT</value>
    </property>

    <property>
        <name>oozie.service.ProxyUserService.proxyuser.oozie.hosts</name>
        <value>*</value>
    </property>

    <property>
        <name>oozie.service.ProxyUserService.proxyuser.oozie.groups</name>
        <value>*</value>
    </property>

    <property>
        <name>oozie.service.ProxyUserService.proxyuser.hue.hosts</name>
        <value>*</value>
    </property>
    <property>
        <name>oozie.service.ProxyUserService.proxyuser.hue.groups</name>
        <value>*</value>
    </property>

    <property>
        <name>oozie.action.mapreduce.uber.jar.enable</name>
        <value>true</value>
    </property>
    <property>
        <name>oozie.service.HadoopAccessorService.supported.filesystems</name>
        <value>hdfs,viewfs</value>
    </property>
</configuration>

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/
$ sudo ln -s /usr/share/java/mysql-connector-java.jar /var/lib/oozie/mysql-connector-java.jar

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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