用yum安装cdh.x(updating)

环境

三台云主机 （cdh1, cdh2, cdh3）
OS：CentOS 6.5 64位
JDK：Oracle JDK 1.7.0_45

安装ZooKeeper（集群模式）

Node Type:
cdh1, cdh2, cdh3

1.所有节点安装zookeeper, zookeeper-server

yum install -y zookeeper zookeeper-server

2.所有节点修改zookeeper配置文件

vi /etc/zookeeper/conf/zoo.cfg
增加节点的配置

server.1=cdh1:2888:3888server.2=cdh2:2888:3888server.3=cdh3:2888:3888

3.所有节点初始化zookeeper-server

每个节点的myid唯一
cdh1:
service zookeeper-server init --myid=1
cdh2:
service zookeeper-server init --myid=2
cdh3:
service zookeeper-server init --myid=3

4.所有节点启动zookeeper

service zookeeper-server start

5.查看zookeeper状态

zookeeper-server status

安装CDH（集群模式，HDFS+YARN）

Node Type:
namenode: cdh1
datanode: cdh1, cdh2, cdh3
yarn-resourcemanager: cdh2
yarn-nodemanager: cdh1, cdh2, cdh3
mapreduce-historyserver: cdh3
yarn-proxyserver: cdh3

node1:
yum install hadoop-hdfs-namenode
node2:
yum install hadoop-yarn-resourcemanager
node3:
yum install hadoop-mapreduce-historyserver hadoop-yarn-proxyserver
所有节点:

yum install hadoop-clientyum install hadoop-yarn-nodemanager hadoop-hdfs-datanode hadoop-mapreduce

部署CDH

1.部署HDFS

(1) 配置文件

core-site.xml

  <property>    <name>fs.defaultFS</name>    <value>hdfs://cdh1:8020</value>  </property>  <property>    <name>fs.trash.interval</name>    <value>1440</value>  </property>

hdfs-site.xml

  <property>    <name>dfs.permissions.superusergroup</name>    <value>hadoop</value>  </property>  <property>    <name>dfs.namenode.name.dir</name>    <value>/hadoop/hdfs/namenode</value>  </property>  <property>    <name>dfs.datanode.data.dir</name>    <value>/hadoop/hdfs/datanode</value>  </property>  <property>    <name>dfs.webhdfs.enabled</name>    <value>true</value>  </property>

slaves

cdh1cdh2cdh3

(2)创建namenode和datanode文件夹

namenode:

mkdir -p /hadoop/hdfs/namenodechown -R hdfs:hdfs /hadoop/hdfs/namenodechmod 700 /hadoop/hdfs/namenode

datanode:

mkdir -p /hadoop/hdfs/datanodechown -R hdfs:hdfs /hadoop/hdfs/datanodechmod 700 /hadoop/hdfs/datanode

(3)格式化namenode

sudo -u hdfs hadoop namenode -format

(4)启动hdfs

namenode(cdh1):

service hadoop-hdfs-namenode startdatanode(cdh1, cdh2, cdh3):service hadoop-hdfs-datanode start(for x in `cd /etc/init.d ; ls hadoop-hdfs-*` ; do sudo service $x start ; done)

(5)查看hdfs状态

sudo -u hdfs hdfs dfsadmin -reportsudo -u hdfs hadoop fs -ls -R -h /

(6)创建HDFS临时文件夹

sudo -u hdfs hadoop fs -mkdir /tmpsudo -u hdfs hadoop fs -chmod -R 1777 /tmp

http://cdh:50070

2.部署YARN

(1)配置YARN

mapred-site.xml:

  <property>    <name>mapreduce.framework.name</name>    <value>yarn</value>  </property>  <property>    <name>mapreduce.jobhistory.address</name>    <value>cdh3:10020</value>  </property>  <property>    <name>mapreduce.jobhistory.webapp.address</name>    <value>cdh3:19888</value>  </property>

yarn-site.xml

  <property>    <name>yarn.resourcemanager.address</name>    <value>cdh2:8032</value>  </property>  <property>    <name>yarn.resourcemanager.scheduler.address</name>    <value>cdh2:8030</value>  </property>  <property>    <name>yarn.resourcemanager.webapp.address</name>    <value>cdh2:8088</value>  </property>  <property>    <name>yarn.resourcemanager.resource-tracker.address</name>    <value>cdh2:8031</value>  </property>  <property>    <name>yarn.resourcemanager.admin.address</name>    <value>cdh2:8033</value>  </property>  <property>    <description>Classpath for typical applications.</description>     <name>yarn.application.classpath</name>     <value>        $HADOOP_CONF_DIR,        $HADOOP_COMMON_HOME/*,$HADOOP_COMMON_HOME/lib/*,        $HADOOP_HDFS_HOME/*,$HADOOP_HDFS_HOME/lib/*,        $HADOOP_MAPRED_HOME/*,$HADOOP_MAPRED_HOME/lib/*,        $HADOOP_YARN_HOME/*,$HADOOP_YARN_HOME/lib/*     </value>  </property>  <property>    <name>yarn.nodemanager.aux-services</name>    <value>mapreduce_shuffle</value>  </property>  <property>    <name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>    <value>org.apache.hadoop.mapred.ShuffleHandler</value>  </property>  <property>    <name>yarn.nodemanager.local-dirs</name>    <value>/hadoop/data/yarn/local</value>  </property>  <property>    <name>yarn.nodemanager.log-dirs</name>    <value>/hadoop/data/yarn/logs</value>  </property>  <property>    <name>yarn.aggregation.enable</name>    <value>true</value>  </property>  <property>    <description>Where to aggregate logs</description>    <name>yarn.nodemanager.remote-app-log-dir</name>    <value>/var/log/hadoop-yarn/apps</value>  </property>  <property>    <name>yarn.app.mapreduce.am.staging-dir</name>    <value>/user</value>  </property>

(2)所有nodemanager创建本地目录

sudo mkdir -p /hadoop/data/yarn/localsudo chown -R yarn:yarn /hadoop/data/yarn/localsudo mkdir -p /hadoop/data/yarn/logssudo chown -R yarn:yarn /hadoop/data/yarn/logs

(3)创建HDFS目录

sudo -u hdfs hadoop fs -mkdir -p /user/historysudo -u hdfs hadoop fs -chmod -R 1777 /user/historysudo -u hdfs hadoop fs -chown yarn /user/historysudo -u hdfs hadoop fs -mkdir -p /var/log/hadoop-yarnsudo -u hdfs hadoop fs -chown yarn:mapred /var/log/hadoop-yarn

(4)启动YARN

ResourceManager(cdh2):
sudo service hadoop-yarn-resourcemanager start
NodeManager(cdh1, cdh2, cdh3):
sudo service hadoop-yarn-nodemanager start
MapReduce JobHistory Server(cdh3):
sudo service hadoop-mapreduce-historyserver start

(5)创建YARN的HDFS用户目录

sudo -u hdfs hadoop fs -mkdir -p /user/$USERsudo -u hdfs hadoop fs -chown $USER /user/$USER

(6)测试

查看节点状态

yarn node -all -listhadoop jar /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar randomwriter input

(7)关闭

sudo service hadoop-yarn-resourcemanager stopsudo service hadoop-yarn-nodemanager stopsudo service hadoop-mapreduce-historyserver stop

http://cdh2:8088/

安装和部署HBase

Node Type:
hbase-master: cdh1, cdh2
hbase-regionserver: node1, cdh2, cdh3
hbase-thrift: cdh3
hbase-rest: node1, cdh2, cdh3

1.安装HBase

(1)修改配置

/etc/security/limits.conf，增加配置
hdfs - nofile 32768
hbase - nofile 32768

hdfs-site.xml，增加配置

  <property>    <name>dfs.datanode.max.xcievers</name>    <value>4096</value>  </property>

(2)安装HBase

hbase-master:

sudo yum install hbase hbase-master

hbase-regionserver:

sudo yum install hbase hbase-regionserver

hbase-thrift:

sudo yum install hbase-thrift

hbase-rest:

sudo yum install hbase-rest


(3)配置HBase

hbase-site.xml

  <property>    <name>hbase.rest.port</name>    <value>60050</value>  </property>  <property>    <name>hbase.zookeeper.quorum</name>    <value>cdh1, cdh2, cdh3</value>  </property>  <property>    <name>hbase.cluster.distributed</name>    <value>true</value>  </property>  <property>    <name>hbase.tmp.dir</name>    <value>/hadoop/hbase</value>  </property>  <property>    <name>hbase.rootdir</name>    <value>hdfs://cdh1:8020/hbase/</value>  </property>

(4)创建本地目录

mkdir -p /hadoop/hbasechown -R hbase:hbase /hadoop/hbase

(5)创建hbase的HDFS目录

sudo -u hdfs hadoop fs -mkdir /hbase/sudo -u hdfs hadoop fs -chown hbase /hbase

(6)启动HBase

hbase-master:
sudo service hbase-master start
hbase-regionserver:
sudo service hbase-regionserver start
hbase-thrift:
sudo service hbase-thrift start
hbase-rest:
sudo service hbase-rest start