HA HADOOP集群和HIVE部署

HDFS HA HADOOP集群部署

1.集群环境节点分布

JournalNode： bigdatasvr01 , bigdatasvr02，bigdatasvr03
namenode: bigdatasvr02(active)，bigdatasvr03(standby)
datanode: bigdatasvr01, bigdatasvr03

nodemanager: bigdatasvr01, bigdatasvr03

ResourceManager: bigdatasvr02

2.修改主机名

3.设置免密码登录

每台机器上都执行命令:

ssh-keygen -t rsa -P ''

将bigdatasvr02的公钥拷贝到bigdatasvr01 ,bigdatasvr03上

ssh-copy-id hadoop@bigdatasvr01

ssh-copy-id hadoop@bigdatasvr03

至少要保证bigdatasvr02免密码登录到bigdatasvr01 ,bigdatasvr03上

4.设置环境变量

1.设置JDK环境变量

2.设置hadoop环境变量，在/etc/profile.d下新建一个hadoop.sh:

export HADOOP_HOME=/home/hadoop/hadoop

export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native

export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop

export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"

export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH

使其生效：

source hadoop.sh

5.搭建hadoop集群

用的hadoop是apache原生包hadoop-2.7.1.tar.gz

5.1 修改配置文件

把下面6个文件修改好，然后拷贝到所有节点。

hadoop-env.sh，core-stie.xml，hdfs-site.xml，yarn-site.xml，mapred-site.xml，slaves

5.1.1修改core-stie.xml

 <property><name>fs.defaultFS</name><value>hdfs://bigdatasvr02:9000</value></property><property><name>io.file.buffer.size</name><value>131072</value></property><property><name>hadoop.tmp.dir</name><value>file:/home/hadoop/hadoop/tmp</value><description>Abasefor other temporary directories.</description></property>

5.1.2修改hdfs-site.xml

    <property><name>dfs.nameservices</name><value>hadoopcluster</value></property><property><name>dfs.ha.namenodes.hadoopcluster</name><value>nn1,nn2</value></property><property><name>dfs.namenode.rpc-address.hadoopcluster.nn1</name><value>bigdatasvr02:9000</value></property><property><name>dfs.namenode.rpc-address.hadoopcluster.nn2</name><value>bigdatasvr03:9000</value></property><property><name>dfs.namenode.http-address.hadoopcluster.nn1</name><value>bigdatasvr02:50070</value></property><property><name>dfs.namenode.http-address.hadoopcluster.nn2</name><value>bigdatasvr03:50070</value></property><property><name>dfs.namenode.name.dir</name><value>file:/home/hadoop/hadoop/ha/hdfs/name</value><description>allow multiple directory split by ,</description></property><property><name>dfs.namenode.shared.edits.dir</name><value>qjournal://bigdatasvr01:8485;bigdatasvr02:8485;bigdatasvr03:8485/hadoopcluster</value></property><property><name>dfs.datanode.data.dir</name><value>file:/home/hadoop/hadoop/ha/hdfs/data</value><description>allow multiple directory split by ,</description></property><property><name>dfs.ha.automatic-failover.enabled</name><value>false</value><description>Whether automatic failover is enabled. See the HDFS High
Availability documentation for details on automatic HA configuration.</description></property><property><name>dfs.journalnode.edits.dir</name><value>/home/hadoop/hadoop/ha/hdfs/journal</value></property><property><name>dfs.replication</name><value>2</value></property><property><name>dfs.webhdfs.enabled</name><value>true</value></property>

5.1.3修改mapred-site.xml

 <property><name>mapreduce.framework.name</name><value>yarn</value></property><property><name>mapreduce.jobhistory.address</name><value>bigdatasvr03:10020</value></property><property><name>mapreduce.jobhistory.webapp.address</name><value>bigdatasvr03:19888</value></property>

5.1.4修改yarn-site.xml

   <property><description>The hostname of the RM.</description><name>yarn.resourcemanager.hostname</name><value>bigdatasvr02</value></property>    <property><description>The address of the applications manager interface in the RM.</description><name>yarn.resourcemanager.address</name><value>${yarn.resourcemanager.hostname}:8032</value></property><property><description>The http address of the RM web application.</description><name>yarn.resourcemanager.webapp.address</name><value>${yarn.resourcemanager.hostname}:8088</value></property><property><description>The https adddress of the RM web application.</description><name>yarn.resourcemanager.webapp.https.address</name><value>${yarn.resourcemanager.hostname}:8090</value></property><property><name>yarn.resourcemanager.resource-tracker.address</name><value>${yarn.resourcemanager.hostname}:8031</value></property><property><name>yarn.resourcemanager.scheduler.address</name><value>${yarn.resourcemanager.hostname}:8030</value></property><property><description>The address of the RM admin interface.</description><name>yarn.resourcemanager.admin.address</name><value>${yarn.resourcemanager.hostname}:8033</value></property><property><description>List of directories to store localized files in. An application's localized file directory will be found in:
${yarn.nodemanager.local-dirs}/usercache/${user}/appcache/application_${appid}.
Individual containers' work directories, called container_${contid}, will
be subdirectories of this.</description><name>yarn.nodemanager.local-dirs</name><value>/home/hadoop/hadoop/ha/yarn/local</value></property><property><description>Whether to enable log aggregation</description><name>yarn.log-aggregation-enable</name><value>true</value></property><property><description>Where to aggregate logs to.</description><name>yarn.nodemanager.remote-app-log-dir</name><value>/home/hadoop/logs</value></property><property><description>Number of CPU cores that can be allocated for containers.</description><name>yarn.nodemanager.resource.cpu-vcores</name><value>4</value></property><property><description>the valid service name should only contain a-zA-Z0-9_ and can not start with numbers</description><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property>

5.1.5修改slaves

bigdatasvr01
bigdatasvr03

修改完配置文件后，将修改好的安装包分别拷贝到bigdatasvr01，bigdatasvr02，bigdatasvr03节点的/home/hadoop目录下.

5.2 启动journalnode(每个节点上都运行)

运行命令：sbin/hadoop-daemon.sh start journalnode

5.3 格式化namenode(nn1)

在 bigdatasvr02 上运行命令： bin/hdfs namenode -format

5.4 启动namenode (nn1)

只有当namenode格式化成功之后才能正常启动namenode

在bigdatasvr02 上运行命令：sbin/hadoop-daemon.sh start namenode

5.5格式化namenode(nn2)

在bigdatasvr03 上运行命令：bin/hdfs namenode -bootstrapStandby

5.6启动namenode (nn2)

在bigdatasvr03 上运行命令：sbin/hadoop-daemon.sh start namenode

在浏览器上访问http://bigdatasvr02:50070/当前是standby状态

在浏览器上访问http://bigdatasvr03:50070/当前是standby状态

5.7激活namenode

在bigdatasvr02 上运行命令：bin/hdfs haadmin -transitionToActive nn1

在浏览器上访问http://bigdatasvr02:50070

5.8启动datanode

在bigdatasvr02 上运行命令：sbin/hadoop-daemons.sh start datanode

5.9启动yarn

在bigdatasvr02 上运行命令：sbin/start-yarn.sh

在bigdatasvr02生成ResourceManager进程

在datanode节点上生成NodeManager进程

5.10执行一个MapReduce

hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar pi 2 10

5.11启动日志记录服务

在bigdatasvr03 上运行命令：sbin/mr-jobhistory-daemon.sh start historyserver

在浏览器中输入：http://bigdatasvr03:19888/

6.停止hadoop集群

sbin/stop-all.sh

查看集群状态：

bin/hdfs dfsadmin -report

7.Hive部署安装

7.1安装mysql

7.2创建hive数据库和用户

1.登录mysql 以root用户身份登录

mysql -uroot -p123123

2.创建hive用户,数据库

insert into user(Host,User,Password,ssl_cipher,x509_issuer,x509_subject) values("localhost","hive",password("hive"),"","","");

create database hive;

grant all on hive.* to hive@'%' identified by 'hive';

grant all on hive.* to hive@'localhost' identified by 'hive';

flush privileges;

7.3验证hive用户

7.4安装Hive

使用安装包为:hive-1.2.1-bin.tar.gz

1.下载解压安装包

2.配置hive环境变量：vi /etc/profile.d/hadoop.sh

使其生效：source /etc/profile.d/hadoop.sh

3.修改hive-site.xml

4.启动hive的metastore

nohup hive --service metastore >> metaserver_logs/nohup.out 2>&1 &

5.启动hive的jdbc等服务程序，提供jdbc、beeline远端连接服务

hive --service hiveserver2 >> hiveserver_logs/nohup.out 2>&1 &

6.启动测试hive

执行hive命令:hive

7.创建hive表

create table inter_table(id int,

name string,

age int,

tele string)

ROW FORMAT DELIMITED

FIELDS TERMINATED BY '\t'

STORED AS TEXTFILE;

如果在创建表的时候卡很久一段时间并报错则需要设置mysql中hive数据库的编码为latin1.