hadoop2.8_hive_sqoop_spark_impala_cdh_centos7.3
参考：https://blog.csdn.net/jssg_tzw/article/details/70314184
#环境 Impala目前好像还不支持Hive2.0
centos7.3_x86_64
hadoop-2.8.0
hbase-1.2.6
zookeeper-3.4.10
mysql-community-server-5.7.22-1.el7 & client & common & libs
mysql-connector-java-5.1.41
apache-hive-2.1.1
sqoop-1.4.7.bin__hadoop-2.6.0
spark-2.1.1-bin-hadoop2.7
impala-2.6.0+cdh5.8.3 待配置
#web控制台
#hadoop overview控制台
http://192.168.92.241:50070/
#hadoop cluster控制台
http://192.168.92.241:8088/
#hbase控制台
http://192.168.92.241:16030/
#hive创建的库和表
http://192.168.92.241:50070/explorer.html#/user/hive/warehouse/db_hive_edu.db
#Spark集群控制台
http://192.168.92.241:8080/
#kudu控制台查看impala-shell创建的表
http://192.168.92.241:8051/
#一、配置hadoop
#1.配置主机节点环境
#修改主机名 节点2和3
vi /etc/hostname
hadoop2
#关闭防火墙
systemctl stop firewalld.service
systemctl disable firewalld.service
systemctl is-enabled firewalld.service
systemctl status firewalld.service
cat >> /etc/hosts <<EOF
192.168.92.241 node1
192.168.92.242 node2
192.168.92.243 node3
EOF
#给3个机器生成秘钥文件
ls /root/.ssh
#3个节点执行**************************
ssh-keygen -t rsa -P ''
#namenode执行
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
#cat ~/.ssh/id_rsa.pub|ssh hadoop1 'sh -c "cat - >>~/.ssh/authorized_keys"'
#cat ~/.ssh/id_rsa.pub|ssh hadoop2 'sh -c "cat - >>~/.ssh/authorized_keys"'
ssh node2 cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
ssh node3 cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
#复制到 datanode
scp ~/.ssh/authorized_keys root@node2:~/.ssh/authorized_keys
scp ~/.ssh/authorized_keys root@node3:~/.ssh/authorized_keys
#验证ssh
ssh node1 date
ssh node2 date
ssh node3 date
#2.3个节点安装java se&hadoop
#安装java se
mkdir -p /opt/software
mkdir -p /opt/java
cd /opt/software
#上传jdk-8u171-linux-x64.tar.gz到/opt/software
tar -zxvf jdk-8u171-linux-x64.tar.gz -C /opt/java/
scp -r /opt/java/ node2:/opt/
scp -r /opt/java/ node3:/opt/
#创建环境变量所需目录
mkdir -p /opt/hadoop/hadoop-2.8.0
mkdir -p /opt/hive/apache-hive-2.1.1-bin
mkdir -p /opt/sqoop/sqoop-1.4.7.bin__hadoop-2.6.0
mkdir -p /opt/hbase/hbase-1.2.6
mkdir -p /opt/zookeeper/zookeeper-3.4.10
cat >> /etc/profile << EOF
export JAVA_HOME=/opt/java/jdk1.8.0_171
export HADOOP_HOME=/opt/hadoop/hadoop-2.8.0
export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop
export HADOOP_COMMON_LIB_NATIVE_DIR=${HADOOP_HOME}/lib/native
export HADOOP_OPTS="-Djava.library.path=${HADOOP_HOME}/lib"
export HIVE_HOME=/opt/hive/apache-hive-2.1.1-bin
export HIVE_CONF_DIR=${HIVE_HOME}/conf
export SQOOP_HOME=/opt/sqoop/sqoop-1.4.7.bin__hadoop-2.6.0
export HBASE_HOME=/opt/hbase/hbase-1.2.6
export ZK_HOME=/opt/zookeeper/zookeeper-3.4.10
export CLASS_PATH=.:${JAVA_HOME}/lib:${HIVE_HOME}/lib:$CLASS_PATH
export PATH=.:${JAVA_HOME}/bin:${HADOOP_HOME}/bin:${HADOOP_HOME}/sbin:${SPARK_HOME}/bin:${ZOOKEEPER_HOME}/bin:${HIVE_HOME}/bin:${SQOOP_HOME}/bin:${HBASE_HOME}/bin:${ZK_HOME}/bin:$PATH
EOF
#生效java环境变量
source /etc/profile
mkdir -p /opt/hadoop
mkdir /root/hadoop
mkdir /root/hadoop/tmp
mkdir /root/hadoop/var
mkdir /root/hadoop/dfs
mkdir /root/hadoop/dfs/name
mkdir /root/hadoop/dfs/data
tar -zxvf hadoop-2.8.0.tar.gz -C /opt/hadoop
cd /opt/hadoop/hadoop-2.8.0/etc/hadoop
3.2.3.1 在<configuration>节点内加入配置:
vi /opt/hadoop/hadoop-2.8.0/etc/hadoop/core-site.xml
<property>
<name>hadoop.tmp.dir</name>
<value>/root/hadoop/tmp</value>
<description>Abase for other temporary directories.</description>
</property>
<property>
<name>fs.default.name</name>
<value>hdfs://node1:9000</value>
</property>
3.2.3.2 将export JAVA_HOME=${JAVA_HOME} 修改为：
vi /opt/hadoop/hadoop-2.8.0/etc/hadoop/hadoop-env.sh
export JAVA_HOME=/opt/java/jdk1.8.0_171
3.2.3.3 在<configuration>节点内加入配置:
#说明：dfs.permissions 配置为false后，可以允许不要检查权限就生成dfs上的文件，方便倒是方便了，但是你需要防止误删除，请将它设置为true，或者直接将该property节点删除，因为默认就是true。
vi /opt/hadoop/hadoop-2.8.0/etc/hadoop/hdfs-site.xml
<property>
<name>dfs.name.dir</name>
<value>/root/hadoop/dfs/name</value>
<description>Path on the local filesystem where theNameNode stores the namespace and transactions logs persistently.</description>
</property>
<property>
<name>dfs.data.dir</name>
<value>/root/hadoop/dfs/data</value>
<description>Comma separated list of paths on the localfilesystem of a DataNode where it should store its blocks.</description>
</property>
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
<description>need not permissions</description>
</property>
3.2.3.4 新建并且修改mapred-site.xml
cp /opt/hadoop/hadoop-2.8.0/etc/hadoop/mapred-site.xml.template /opt/hadoop/hadoop-2.8.0/etc/hadoop/mapred-site.xml
#在<configuration>节点内加入配置:
vi /opt/hadoop/hadoop-2.8.0/etc/hadoop/mapred-site.xml
<property>
<name>mapred.job.tracker</name>
<value>node1:49001</value>
</property>
<property>
<name>mapred.local.dir</name>
<value>/root/hadoop/var</value>
</property>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
3.2.3.5 修改slaves文件
#将里面的localhost删除，添加如下内容：
vi /opt/hadoop/hadoop-2.8.0/etc/hadoop/slaves
node2
node3
3.2.3.6 修改yarn-site.xml文件
#在<configuration>节点内加入配置(内存根据机器配置越大越好):
#说明：yarn.nodemanager.vmem-check-enabled这个的意思是忽略虚拟内存的检查，如果你是安装在虚拟机上，这个配置很有用，配上去之后后续操作不容易出问题。如果是实体机上，并且内存够多，可以将这个配置去掉。
vi /opt/hadoop/hadoop-2.8.0/etc/hadoop/yarn-site.xml
<property>
<name>yarn.resourcemanager.hostname</name>
<value>node1</value>
</property>
<property>
<description>The address of the applications manager interface in the RM.</description>
<name>yarn.resourcemanager.address</name>
<value>${yarn.resourcemanager.hostname}:8032</value>
</property>
<property>
<description>The address of the scheduler interface.</description>
<name>yarn.resourcemanager.scheduler.address</name>
<value>${yarn.resourcemanager.hostname}:8030</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>${yarn.resourcemanager.hostname}:8031</value>
</property>
<property>
<description>The address of the RM admin interface.</description>
<name>yarn.resourcemanager.admin.address</name>
<value>${yarn.resourcemanager.hostname}:8033</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.scheduler.maximum-allocation-mb</name>
<value>1024</value>
<discription>每个节点可用内存,单位MB,默认8182MB</discription>
</property>
<property>
<name>yarn.nodemanager.vmem-pmem-ratio</name>
<value>2.1</value>
</property>
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>1024</value>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
#在namenode上执行初始化
cd /opt/hadoop/hadoop-2.8.0/bin
/opt/hadoop/hadoop-2.8.0/bin/hadoop namenode -format
cd /opt/hadoop
scp -r /opt/hadoop root@node2:/opt
scp -r /opt/hadoop root@node3:/opt
#启动hadoop
/opt/hadoop/hadoop-2.8.0/sbin/start-all.sh
#输出如下：
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
21/01/18 22:56:53 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting namenodes on [node1]
node1: starting namenode, logging to /opt/hadoop/hadoop-2.8.0/logs/hadoop-root-namenode-node1.out
node2: starting datanode, logging to /opt/hadoop/hadoop-2.8.0/logs/hadoop-root-datanode-node2.out
node3: starting datanode, logging to /opt/hadoop/hadoop-2.8.0/logs/hadoop-root-datanode-node3.out
Starting secondary namenodes [0.0.0.0]
The authenticity of host '0.0.0.0 (0.0.0.0)' can't be established.
ECDSA key fingerprint is 27:e4:1d:35:19:f4:f8:58:57:07:4c:0b:97:42:19:25.
Are you sure you want to continue connecting (yes/no)? yes
0.0.0.0: Warning: Permanently added '0.0.0.0' (ECDSA) to the list of known hosts.
0.0.0.0: starting secondarynamenode, logging to /opt/hadoop/hadoop-2.8.0/logs/hadoop-root-secondarynamenode-node1.out
21/01/18 22:57:22 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
starting yarn daemons
starting resourcemanager, logging to /opt/hadoop/hadoop-2.8.0/logs/yarn-root-resourcemanager-node1.out
node3: starting nodemanager, logging to /opt/hadoop/hadoop-2.8.0/logs/yarn-root-nodemanager-node3.out
node2: starting nodemanager, logging to /opt/hadoop/hadoop-2.8.0/logs/yarn-root-nodemanager-node2.out
#3228 -- main class information unavailable
jps
47520 Jps
47259 SecondaryNameNode
3228 -- main class information unavailable
47054 NameNode
#测试hadoop
#overview页面 未打开 *********************************************
http://192.168.92.241:50070/
#cluster页面
http://192.168.92.241:8088/
###########################################
#二、配置zookkeeper
cd /opt/software
mkdir -p /opt/zookeeper
tar -zxvf zookeeper-3.4.10.tar.gz -C /opt/zookeeper
cp /opt/zookeeper/zookeeper-3.4.10/conf/zoo_sample.cfg /opt/zookeeper/zookeeper-3.4.10/conf/zoo.cfg
mkdir /opt/zookeeper/data
mkdir /opt/zookeeper/dataLog
cat >> /opt/zookeeper/data/myid << EOF
1
EOF
cat >> /opt/zookeeper/zookeeper-3.4.10/conf/zoo.cfg << EOF
dataDir=/opt/zookeeper/data
dataLogDir=/opt/zookeeper/dataLog
server.1=node1:2888:3888
server.2=node2:2888:3888
server.3=node3:2888:3888
EOF
scp -r /opt/zookeeper node2:/opt
scp -r /opt/zookeeper node3:/opt
#在 node2 node3修改myid文件 内容人别为2 3
#启动zookeeper 每个节点
/opt/zookeeper/zookeeper-3.4.10/bin/zkServer.sh start
#查看zookeeper的状态
/opt/zookeeper/zookeeper-3.4.10/bin/zkServer.sh status
#将ZooKeeper设置为开机启动(可选) node1 node2 node3执行
cat >> /etc/rc.d/init.d/zookeeper << EOF
#!/bin/bash
#chkconfig: 2345 10 90
#description: service zookeeper
export JAVA_HOME=/opt/java/jdk1.8.0_171
export ZOO_LOG_DIR=/opt/zookeeper/log
ZOOKEEPER_HOME=/opt/zookeeper/zookeeper-3.4.10
case "$1" in
start) su root ${ZOOKEEPER_HOME}/bin/zkServer.sh start;;
start-foreground) su root ${ZOOKEEPER_HOME}/bin/zkServer.sh start-foreground;;
stop) su root ${ZOOKEEPER_HOME}/bin/zkServer.sh stop;;
status) su root ${ZOOKEEPER_HOME}/bin/zkServer.sh status;;
restart) su root ${ZOOKEEPER_HOME}/bin/zkServer.sh restart;;
upgrade)su root ${ZOOKEEPER_HOME}/bin/zkServer.sh upgrade;;
print-cmd)su root ${ZOOKEEPER_HOME}/bin/zkServer.sh print-cmd;;
*) echo "requirestart|start-foreground|stop|status|restart|print-cmd";;
esac
EOF
chmod +x /etc/rc.d/init.d/zookeeper
chkconfig --add zookeeper
chkconfig --list zookeeper
#datanode重启后，namenode需要再次重启所有hadoop进程以启动datanode对应进程
reboot
#执行测试看是否开机启动
service zookeeper status
lsof -i:2181
netstat -lntup
###########################################
#三、配置hbase
cd /opt/software
mkdir -p /opt/hbase
tar -zxvf hbase-1.2.6-bin.tar.gz -C /opt/hbase
cd /opt/hbase/hbase-1.2.6/conf
cat >> /opt/hbase/hbase-1.2.6/conf/hbase-env.sh << EOF
export JAVA_HOME=/opt/java/jdk1.8.0_171
export HADOOP_HOME=/opt/hadoop/hadoop-2.8.0
export HBASE_HOME=/opt/hbase/hbase-1.2.6
export HBASE_CLASSPATH=/opt/hadoop/hadoop-2.8.0/etc/hadoop
export HBASE_PID_DIR=/root/hbase/pids
export HBASE_MANAGES_ZK=false
EOF
#节点node2 node3未执行
mkdir /root/hbase
mkdir /root/hbase/tmp
mkdir /root/hbase/pids
#在<configuration>节点内增加以下配置：
vi /opt/hbase/hbase-1.2.6/conf/hbase-site.xml
<property>
<name>hbase.rootdir</name>
<value>hdfs://node1:9000/hbase</value>
<description>The directory shared byregion servers.</description>
</property>
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
<description>Property from ZooKeeper'sconfig zoo.cfg. The port at which the clients will connect.
</description>
</property>
<property>
<name>zookeeper.session.timeout</name>
<value>120000</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>node1,node2,node3</value>
</property>
<property>
<name>hbase.tmp.dir</name>
<value>/root/hbase/tmp</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
cat > /opt/hbase/hbase-1.2.6/conf/regionservers << EOF
node1
node2
node3
EOF
#复制hbase到其他节点node2 node3
scp -r /opt/hbase node2:/opt/
scp -r /opt/hbase node3:/opt/
Hbase是基于hadoop，依赖于zookkeeper，上面的配置启用的是我们自己的zookeeper集群
Hbase可以只在hadoop的某个namenode节点上安装，也可以在所有的hadoop节点上安装，但是启动的时候只需要在一个节点上启动就行了
/opt/hbase/hbase-1.2.6/bin/start-hbase.sh
#web访问hbase
http://192.168.92.241:16030/
#进入hbase数据库
/opt/hbase/hbase-1.2.6/bin/hbase shell
status
exit
###########################################
#四、配置 hive
#mysql安装
cd /opt/software/
rpm -qa | grep mariadb
yum remove mariadb-libs -y
#或者rpm -e mariadb-libs-5.5.44-2.el7.centos.x86_64 --nodeps
2 到官网去下载最新的rpm包：mysql-5.7.18-1.el7.x86_64.rpm-bundle.tar
#-解压出rpm-bundle.tar,实际上只需要安装以下几个包
rpm -ivh mysql-community-common-5.7.22-1.el7.x86_64.rpm
rpm -ivh mysql-community-libs-5.7.22-1.el7.x86_64.rpm
rpm -ivh mysql-community-client-5.7.22-1.el7.x86_64.rpm
rpm -ivh mysql-community-server-5.7.22-1.el7.x86_64.rpm
使用rpm安装方式安装mysql，安装的路径如下：
#数据库目录
/var/lib/mysql/
#配置文件
/usr/share/mysql(mysql.server命令及配置文件)
#相关命令
/usr/bin(mysqladmin mysqldump等命令)
#启动脚本
/etc/rc.d/init.d/(启动脚本文件mysql的目录)
/etc/my.conf
/*为了保证数据库目录为与文件的所有者为 mysql 登陆用户，如果你是以 root 身份运行 mysql 服务，需要执行下面的命令初始化
如果是以 mysql 身份运行，则可以去掉 --user 选项。
另外 --initialize 选项默认以“安全”模式来初始化，则会为 root 用户生成一个密码并将该密码标记为过期，登陆后你需要设置一个新的密码，
而使用 --initialize-insecure 命令则不使用安全模式，则不会为 root 用户生成一个密码。
这里演示使用的 --initialize 初始化的，会生成一个 root 账户密码，密码在log文件里，红色区域的就是自动生成的密码
*/
mysqld --initialize --user=mysql
#在最后部分查看生成的mysql的临时密码：A temporary password is generated for root@localhost: %kWTz,Ml?3Zs
cat /var/log/mysqld.log
systemctl start mysqld.service
#对mysql进行停止，启动和重启：
#启动：
service mysqld start
/etc/inint.d/mysqld start
safe_mysqld &
#停止：
service mysqld stop
/etc/inint.d/mysqld stop
mysqladmin shutdown
#重启：
service mysqld restart
/etc/inint.d/mysqld restart
#连接数据库
mysql -u root -p
Enter password:
密码输入：%kWTz,Ml?3Zs
#修改密码：
ALTER USER 'root'@'localhost' IDENTIFIED BY 'mysql';
#更改mysql权限，让root用户以node1主机名方式可以登录mysql（hive初始化）
grant all privileges on *.* to root@'%' identified by 'mysql' with grant option;
flush privileges;
use mysql;
select host,user from user;
#新建test用户 仅允许本地（localhost）登录 新建用户test，并且只允许该用户在本地（localhost）登录
grant select,update,insert,delete on *.* to test@localhost identified by "mysql";
flush privileges;
#若要test用户可以远程登录mysql，则还需要如下命令（或grant方式）：
update user set host = '%' where user = 'test';
#现在我们再查看mysql的管理库：
select host,user from user;
#flush缓存 告诉服务器重载授权表 允许远程连接
flush privileges;
#当你使用GRANT和REVOKE语句时，表自动重载，而你直接修改授权表时不是。 所以更简便的方法是
grant select,update,insert,delete on mas.* to test@“%” identified by "mysql";
#########################
tar -zxvf apache-hive-2.1.1-bin.tar.gz -C /opt/hive
cd /opt/hive/apache-hive-2.1.1-bin/conf
cp hive-default.xml.template hive-site.xml
#创建hdfs目录
cat >> /etc/profile << EOF
export JAVA_LIBRARY_PATH=$HADOOP_HOME/lib/native
EOF
$HADOOP_HOME/bin/hadoop fs -mkdir -p /user/hive/warehouse
$HADOOP_HOME/bin/hadoop fs -ls /user/hive/warehouse
#报错：18/04/23 07:02:50 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
解决：
cat >> /etc/profile << EOF
export JAVA_LIBRARY_PATH=$HADOOP_HOME/lib/native
EOF
#若报错：Failed to connect to server: node1/192.168.92.241:9000: try once and fail.
/opt/hadoop/hadoop-2.8.0/sbin/stop-all.sh
/opt/hadoop/hadoop-2.8.0/bin/hadoop namenode -format
/opt/hadoop/hadoop-2.8.0/sbin/start-all.sh
$HADOOP_HOME/bin/hadoop fs -mkdir -p /user/hive/warehouse
$HADOOP_HOME/bin/hadoop fs -chmod 777 /user/hive/warehouse
$HADOOP_HOME/bin/hadoop fs -mkdir -p /tmp/hive/
$HADOOP_HOME/bin/hadoop fs -chmod 777 /tmp/hive
#检查hdfs目录是否创建成功
$HADOOP_HOME/bin/hadoop fs -ls /user/hive/
#检查/tmp/hive是否创建成功
$HADOOP_HOME/bin/hadoop fs -ls /tmp/
#修改hive-site.xml中的临时目录
mkdir /opt/hive/tmp
vi hive-site.xml
#1.将hive-site.xml文件中的${system:java.io.tmpdir}替换为hive的临时目录，例如我替换为/opt/hive/tmp，该目录如果不存在则要自己手工创建，并且赋予读写权限
将${system:user.name}都替换为root
#2.修改hive-site.xml数据库相关的配置,若更改主机ip，则需要更改此配置和主机hosts文件
#搜索javax.jdo.option.ConnectionURL，将该name对应的value修改为MySQL的地址，例如我修改后是：
#加&useSSL=false后无法登陆hive##########################################################################
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://192.168.92.241:3306/hive?createDatabaseIfNotExist=true</value>
#3.搜索javax.jdo.option.ConnectionDriverName，将该name对应的value修改为MySQL驱动类路径，例如我的修改后是：
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
</property>
#4.搜索javax.jdo.option.ConnectionUserName，将对应的value修改为MySQL数据库登录名：
<name>javax.jdo.option.ConnectionUserName</name>
<value>root</value>
#5.搜索javax.jdo.option.ConnectionPassword，将对应的value修改为MySQL数据库的登录密码：
<name>javax.jdo.option.ConnectionPassword</name>
<value>mysql</value>
#6.搜索hive.metastore.schema.verification，将对应的value修改为false：
<name>hive.metastore.schema.verification</name>
<value>false</value>
#将MySQL驱动包上载到Hive的lib目录下，例如我是上载到/opt/hive/apache-hive-2.1.1-bin/lib
tar -zxvf /opt/software/mysql-connector-java-5.1.41.tar.gz -C /opt/software
cp /opt/software/mysql-connector-java-5.1.41/mysql-connector-java-5.1.41-bin.jar /opt/hive/apache-hive-2.1.1-bin/lib
cp hive-env.sh.template hive-env.sh
cat >> hive-env.sh << EOF
export HADOOP_HOME=/opt/hadoop/hadoop-2.8.0
export HIVE_CONF_DIR=/opt/hive/apache-hive-2.1.1-bin/conf
export HIVE_AUX_JARS_PATH=/opt/hive/apache-hive-2.1.1-bin/lib
EOF
cd /opt/hive/apache-hive-2.1.1-bin/bin
#对数据库进行初始化，执行命令：
schematool -initSchema -dbType mysql
./hive
#执行查看函数的命令：
show functions;
desc function sum;
#退出hive
create database db_hive_edu;
use db_hive_edu;
create table student(id int,name string) row format delimited fields terminated by '\t';
#或者quit;
exit;
touch /opt/hive/student.txt
#需要手工编辑 修改为字段之间用tab分割，unix格式
cat >> /opt/hive/student.txt << EOF
1 zhangsan
2 lisi
3 wangwu
4 zhaoliu
5 chenqi
EOF
#在hive命令行中执行加载数据的hive命令：
hive
load data local inpath '/opt/hive/student.txt' into table db_hive_edu.student;
#数据为NULL
use db_hive_edu;
select * from student;
#如果没有指定数据库，请把这个语句换成
select * from db_hive_edu.student;
#我的hadoop的namenode的IP地址是192.168.92.241，查看hive创建的库和表：
http://192.168.92.241:50070/explorer.html#/user/hive/warehouse/db_hive_edu.db
#在MySQL数据库中执行select语句，查看hive创建的表，SQL是：
SELECT * FROM hive.TBLS;
###########################################
#五、配置sqoop
#和hive一样，sqoop只需要在hadoop的namenode上安装即可
cd /opt/software/
mkdir -p /opt/sqoop
tar -zxvf sqoop-1.4.7.bin__hadoop-2.6.0.tar.gz -C /opt/sqoop
cd /opt/sqoop/sqoop-1.4.7.bin__hadoop-2.6.0/conf
cp sqoop-env-template.sh sqoop-env.sh
cat >> sqoop-env.sh << EOF
export HADOOP_COMMON_HOME=/opt/hadoop/hadoop-2.8.0
export HADOOP_MAPRED_HOME=/opt/hadoop/hadoop-2.8.0
export HIVE_HOME=/opt/hive/apache-hive-2.1.1-bin
EOF
scp /opt/software/mysql-connector-java-5.1.41/mysql-connector-java-5.1.41-bin.jar /opt/sqoop/sqoop-1.4.7.bin__hadoop-2.6.0/lib/
#sqoop是一个工具，安装完成后，如果操作的命令不涉及hive和hadoop的
sqoop help
#警告如下：
Warning: /opt/sqoop/sqoop-1.4.7.bin__hadoop-2.6.0/../hcatalog does not exist! HCatalog jobs will fail.
Please set $HCAT_HOME to the root of your HCatalog installation.
Warning: /opt/sqoop/sqoop-1.4.7.bin__hadoop-2.6.0/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
Warning: /opt/sqoop/sqoop-1.4.7.bin__hadoop-2.6.0/../zookeeper does not exist! Accumulo imports will fail.
Please set $ZOOKEEPER_HOME to the root of your Zookeeper installation.
Try 'sqoop help' for usage.
#说明：因为我们没有基于hadoop安装HBase，所以HBase相关的命令不能用，但是操作hadoop分布式文件系统的命令是可以用的。
#查看MySQL数据库hive中的表
sqoop list-tables --username root --password 'mysql' --connect jdbc:mysql://192.168.92.241:3306/hive?characterEncoding=UTF-8
#导入mysql的表hive.test失败
sqoop create-hive-table --connect jdbc:mysql://192.168.92.241:3306/hive?characterEncoding=UTF-8 --table TYPES --username root -password 'mysql' --hive-database db_hive_edu
#报错：
21/01/19 18:17:34 ERROR hive.HiveConfig: Could not load org.apache.hadoop.hive.conf.HiveConf. Make sure HIVE_CONF_DIR is set correctly.
21/01/19 18:17:34 ERROR tool.CreateHiveTableTool: Encountered IOException running create table job: java.io.IOException: java.lang.ClassNotFoundException: org.apache.hadoop.hive.conf.HiveConf
at org.apache.sqoop.hive.HiveConfig.getHiveConf(HiveConfig.java:50)
at org.apache.sqoop.hive.HiveImport.getHiveArgs(HiveImport.java:392)
at org.apache.sqoop.hive.HiveImport.executeExternalHiveScript(HiveImport.java:379)
at org.apache.sqoop.hive.HiveImport.executeScript(HiveImport.java:337)
at org.apache.sqoop.hive.HiveImport.importTable(HiveImport.java:241)
at org.apache.sqoop.tool.CreateHiveTableTool.run(CreateHiveTableTool.java:57)
at org.apache.sqoop.Sqoop.run(Sqoop.java:147)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243)
at org.apache.sqoop.Sqoop.main(Sqoop.java:252)
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.hive.conf.HiveConf
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:264)
at org.apache.sqoop.hive.HiveConfig.getHiveConf(HiveConfig.java:44)
... 11 more
###########################################
#配置scala&spark
cd /opt/software/
mkdir /opt/scala
tar -zxvf scala-2.12.2.tgz -C /opt/scala
#所有节点配置spark
mkdir /opt/spark
tar -zxvf spark-2.1.1-bin-hadoop2.7.tgz -C /opt/spark
cd /opt/spark/spark-2.1.1-bin-hadoop2.7/conf
cp spark-env.sh.template spark-env.sh
cp slaves.template slaves
vi spark-env.sh
export SCALA_HOME=/opt/scala/scala-2.12.2
export JAVA_HOME=/opt/java/jdk1.8.0_171
export HADOOP_HOME=/opt/hadoop/hadoop-2.8.0
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export SPARK_HOME=/opt/spark/spark-2.1.1-bin-hadoop2.7
export SPARK_MASTER_IP=node1
export SPARK_EXECUTOR_MEMORY=1G
#编辑slaves文件，里面的内容为：
vi slaves
node2
node3
source /etc/profile
scp -r /opt/scala node2:/opt
scp -r /opt/scala node3:/opt
scp -r /opt/spark node2:/opt
scp -r /opt/spark node3:/opt
#执行启动脚本：
/opt/spark/spark-2.1.1-bin-hadoop2.7/sbin/start-all.sh
#查看scala版本
/opt/spark/spark-2.1.1-bin-hadoop2.7/scala -version
#把所有进程加入开机启动
vi /etc/profile
/opt/hadoop/hadoop-2.8.0/sbin/start-all.sh
/opt/zookeeper/zookeeper-3.4.10/bin/zkServer.sh start
/opt/hbase/hbase-1.2.6/bin/start-hbase.sh
/opt/spark/spark-2.1.1-bin-hadoop2.7/sbin/start-all.sh
#访问Spark集群提供的URL
http://192.168.92.241:8080/
#运行Spark提供的计算圆周率的示例程序 误差很大
cd /opt/spark/spark-2.1.1-bin-hadoop2.7
./bin/spark-submit --class org.apache.spark.examples.SparkPi --master local examples/jars/spark-examples_2.11-2.1.1.jar
##############################################################-
Apache impala集成apache kudu
CentOS7上Apache impala2.7集成apache kudu1.3
#环境准备
#服务器配置
ID IP_address Hostname Notes
1 192.168.92.241 node1 1.Hadoop Master 2.Spark Master 3.Kudu Master 4.Impala Master 5.JDK 6.Scala
2 192.168.92.242 node2 1.Hadoop Slave 2.Spark Slave 3.Kudu tserver 4.Impalad 5.JDK 6.Scala
3 192.168.92.243 node3 1.Hadoop Slave 2.Spark Slave 3.Kudu tserver 4.Impalad 5.JDK 6.Scala
#环境配置
1.有关CentOS7.0安装配置JDK请参考CentOS7安装配置JDK1.8
2.有关Hadoop2.7.3 集群配置请参考CentOS7上Hadoop集群的搭建
3.有关Spark 2.10 集群搭建请参考CentOS7上Spark集群拱建
4.有关Scala 安装配置请参考CentOS7上安装配置Scala
# impala 安装包下载
#下载impala安装包，下载地址：http://archive.cloudera.com/beta/impala-kudu/redhat/7/x86_64/impala-kudu/0/RPMS/x86_64/
impala-kudu-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
impala-kudu-catalog-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
impala-kudu-debuginfo-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
impala-kudu-server-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
impala-kudu-shell-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
impala-kudu-state-store-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
impala-kudu-udf-devel-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
#下载 bigtop-utils，下载地址：http://archive.cloudera.com/cdh5/redhat/7/x86_64/cdh/5.9.0/RPMS/noarch/
bigtop-utils-0.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.30.el7.noarch.rpm
##########################-
#配置本地yum源
mkdir /media/CentOS
mount -t auto /dev/cdrom /media/CentOS
mount
cd /etc/yum.repos.d/
cp CentOS-Base.repo CentOS-Base.repo.bak
#修改CentOS-Base.repo的内容，注释文档中的所有mirrorlist属性，把baseurl属性打开注释，并设置baseurl的属性值为挂载点
vi /etc/yum.repos.d/CentOS-Base.repo
baseurl=file:///media/CentOS/
yum clean all
yum list
vi /etc/fstab
/dev/sr0 /media/CentOS iso9660 ro,relatime 0 0
##########################-
#下载安装依赖包
rpm -qa | grep cyrus-sasl-plain
rpm -qa | grep lsb
rpm -qa | grep ntp
yum -y install cyrus-sasl-plain lsb ntp
#安装impala
#安装 bigtop-utils (主从机都要安装)
rpm -ivh bigtop-utils-0.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.30.el7.noarch.rpm
#从节点
mkdir -p /opt/software
#复制到从节点
scp bigtop-utils-0.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.30.el7.noarch.rpm node2:/opt/software
scp bigtop-utils-0.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.30.el7.noarch.rpm node3:/opt/software
#从节点
cd /opt/software
rpm -ivh bigtop-utils-0.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.30.el7.noarch.rpm
#安装 impala-kudu-2.7.0 (主从机都要安装)
#要加上选项#nodeps否则安装会因为缺少依赖包无法通过
rpm -ivh impala-kudu-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm --nodeps
scp impala-kudu-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node2:/opt/software
scp impala-kudu-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node3:/opt/software
#从节点
rpm -ivh impala-kudu-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm --nodeps
#安装 impala-kudu-catalog (主机安装)
rpm -ivh impala-kudu-catalog-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
#scp impala-kudu-catalog-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node2:/opt/software
#scp impala-kudu-catalog-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node3:/opt/software
#从节点 安装多余了
#rpm -ivh impala-kudu-catalog-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
#安装 impala-kudu-state (主机安装)
rpm -ivh impala-kudu-state-store-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
#主机安装 impala-kudu-server (主从机都要安装)
rpm -ivh impala-kudu-server-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
scp impala-kudu-server-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node2:/opt/software
scp impala-kudu-server-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node3:/opt/software
#从节点
rpm -ivh impala-kudu-server-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
#安装impala-kudu-shell (主从机都要安装)
rpm -ivh impala-kudu-shell-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
scp impala-kudu-shell-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node2:/opt/software
scp impala-kudu-shell-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node3:/opt/software
#从节点
rpm -ivh impala-kudu-shell-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
#安装 impala-kudu-udf-devel(主从机都要安装)
rpm -ivh impala-kudu-udf-devel-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
scp impala-kudu-udf-devel-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node2:/opt/software
scp impala-kudu-udf-devel-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm node3:/opt/software
#从节点
rpm -ivh impala-kudu-udf-devel-2.7.0+cdh5.9.0+0-1.cdh5.9.0.p0.11.el7.x86_64.rpm
#配置impala (主从机都要配置)
#配置 vim /etc/default/bigtop-utils里的JDK
#所有节点
cat >> /etc/default/bigtop-utils << EOF
# export JAVA_HOME
export JAVA_HOME=/opt/java/jdk1.8.0_171
EOF
#配置vim /etc/default/impala (主从机都要配置)
#所有节点
vim /etc/default/impala
IMPALA_CATALOG_SERVICE_HOST=node1
IMPALA_STATE_STORE_HOST=node1
#配置三台机器时间同步（主从机都要配置)
#所有节点
systemctl restart ntpd
systemctl enable ntpd
#把hadoop配置文件core-site.xml和hdfs-site.xml拷到/etc/impala/conf.dist/目录下并作如下改动
#拷贝core-site.xml和hdfs-site.xml (主从机都要配置)
#所有节点
cp $HADOOP_HOME/etc/hadoop/core-site.xml /etc/impala/conf.dist/
cp $HADOOP_HOME/etc/hadoop/hdfs-site.xml /etc/impala/conf.dist/
6.2.具体配置（在hadoop原有内容上增加以下内容，在configuration中嵌入以下property）
cd /etc/impala/conf.dist/
vi core-site.xml
<property>
<name>dfs.client.read.shortcircuit</name>
<value>true</value>
</property>
<property>
<name>dfs.client.read.shortcircuit.skip.checksum</name>
<value>false</value>
</property>
<property>
<name>dfs.datanode.hdfs-blocks-metadata.enabled</name>
<value>true</value>
</property>
vi hdfs-site.xml
<!#impala configuration -->
<property>
<name>dfs.datanode.hdfs-blocks-metadata.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.block.local-path-access.user</name>
<value>impala</value>
</property>
<property>
<name>dfs.client.file-block-storage-locations.timeout.millis</name>
<value>60000</value>
</property>
#设置scoket path
在目录/var/run/目录下新建目录hadoop-hdfs (主从机都要配置)。
注意：该文件夹可能已经存在，应当确认用impala是否有权限进行读写。
如果已经存在，将用户impala加入该文件所属的组，并修改该文件组的权限即: chown -R 775 hadoop-hdfs/
#所有节点
cd /var/run/
mkdir hadoop-hdfs
chown -R 775 hadoop-hdfs
#权限配置（所有机器都应当配置）
如果想要 impala 和 YARN 合作，需要把 impala 用户加入 hdfs 组，相关的可以了解的是Llama项目.
impala 在执行 DROP TABLE 操作时，需要把文件移到到 hdfs 的回收站，所以你需要创建一个 hdfs 的目录 /user/impala，并将其设置为impala 用户可写。
同样的，impala 需要读取 hive 数据仓库下的数据，故需要把 impala 用户加入 hive 组。
#所有节点
groupadd hadoop
usermod -G hdfs,hadoop impala
groups impala
impala : impala hdfs hadoop
#Extension: 创建impala在hdfs上的目录并设置权限
hadoop fs -mkdir -p /user/impala
hadoop fs -chown impala /user/impala
hadoop fs -ls /user/
#从节点执行报错********************************************************
[root@node2 run]# hadoop fs -mkdir -p /user/impala
Exception in thread "main" java.lang.RuntimeException: core-site.xml not found
at org.apache.hadoop.conf.Configuration.loadResource(Configuration.java:2617)
at org.apache.hadoop.conf.Configuration.loadResources(Configuration.java:2543)
at org.apache.hadoop.conf.Configuration.getProps(Configuration.java:2426)
at org.apache.hadoop.conf.Configuration.set(Configuration.java:1151)
at org.apache.hadoop.conf.Configuration.set(Configuration.java:1123)
at org.apache.hadoop.conf.Configuration.setBoolean(Configuration.java:1459)
at org.apache.hadoop.util.GenericOptionsParser.processGeneralOptions(GenericOptionsParser.java:322)
at org.apache.hadoop.util.GenericOptionsParser.parseGeneralOptions(GenericOptionsParser.java:488)
at org.apache.hadoop.util.GenericOptionsParser.<init>(GenericOptionsParser.java:170)
at org.apache.hadoop.util.GenericOptionsParser.<init>(GenericOptionsParser.java:153)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:90)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:378)
#启动impala
#主机：node1
service impala-state-store restart --kudu_master_hosts=node1:7051
service impala-catalog restart --kudu_master_hosts=node1:7051
#主从机执行
service impala-server restart --kudu_master_hosts=node1:7051
#登录impala-shell
impala-shell
#node1执行（按照mysql语法写impala-shell），修改后
CREATE TABLE dept (
id BIGINT,
name STRING
) distribute by range(name) split rows(('it'),('op'),('hr'))
TBLPROPERTIES(
'storage_handler' = 'com.cloudera.kudu.hive.KuduStorageHandler',
'kudu.table_name' = 'dept',
'kudu.master_addresses' = 'node1:7051',
'kudu.key_columns' = 'id,name'
);
#报错：*******************************************************************
ERROR:
ImpalaRuntimeException: Error creating Kudu table
CAUSED BY: NonRecoverableException: RPC can not complete before timeout: KuduRpc(method=ListTables, tablet=null, attempt=25, DeadlineTracker(timeout=30000, elapsed=29214))
CAUSED BY: NoLeaderMasterFoundException: Master config (node1:7051) has no leader.. Exceptions received: org.kududb.client.RecoverableException: [Peer Kudu Master - node1:7051] Connection reset on [id: 0xf5a4934f]
CAUSED BY: RecoverableException: [Peer Kudu Master - node1:7051] Connection reset on [id: 0xf5a4934f]
#在kudu控制台查看impala-shell创建的表，有关更多的impala操作kudu的示例，后面会发文详细讲解!
#未打开
http://192.168.92.241:8051/
#若zookeeper和hbase进程未启动
#主从节点执行
sh /home/zk_start.sh
#主节点执行
sh /home/hbase_start.sh
