# Linux系统准备
### *集群名称:hadoop01、hadoop02、hadoop03*
### *Linux系统版本:CentOS 7*
### *linux账户:persagy*
1. 安装虚拟机
2. 配置静态IP
3. 修改主机名
4. 修改/etc/hosts文件映射主机名与IP
192.168.xxx.xxx hadoop01
192.168.xxx.xxx hadoop02
192.168.xxx.xxx hadoop03
5. 创建用户
useradd persagy
passwd 自定义
在 /etc/sudoers文件中加入 persagy ALL=(ALL) NOPASSWD:ALL
6. 关闭防火墙服务以及开机自启动
7. root和persagy的SSH无密登录配置
1. 每个节点执行:ssh-keygen -t rsa
2. 将公钥拷贝到要免密登录的目标机器上
ssh-copy-id hadoop01
ssh-copy-id hadoop02
ssh-copy-id hadoop03
8. 集群时间同步
9. opt目录创建文件夹(*此目录可以自定义*)
1. mkdir /opt/software /opt/module
2. chown persagy:persagy /opt/software /opt/module
10. 安装JDK(*文档以 jdk1.8.0_121 为准,jdk版本可在兼容hadoop的情况下自行选择*)
1. tar -zxvf jdk-8u121-linux-x64.tar.gz -C /opt/module
2. /etc/profile 配置环境变量
```shell
#JAVA_HOME
export JAVA_HOME=/opt/module/jdk1.8.0_121
export PATH=$PATH:$JAVA_HOME/bin
```
# 集群部署计划及软件版本
## 集群部署计划
| | hadoop01 | hadoop02 | hadoop03 |
| ----------------------- | ---------------------- | -------------------------------- | ------------------------------- |
| Hadoop-hdfs | nameNode
dataNode | dataNode | dataNode
secondaryNameNode |
| Hadoop-yarn | nodeManager | nodeManager
resourceManager | nodeManager |
| zookeeper | ✅ | ✅ | ✅ |
| flume | 采集 | 采集 | 传输 |
| kafka | ✅ | ✅ | ✅ |
| hbase | ✅ | ✅ | ✅ |
| spark | ✅ | ✅ | ✅ |
| hive | ✅ | | |
| MySQL(保存hive元数据) | ✅ | | |
## 软件版本
| 软件 | 版本号 | 备注 |
| --------- | ------------------------------------------------------------ | ---------------------------------------------------- |
| Java | jdk-8u121-linux-x64.tar.gz | |
| Hadoop | hadoop-2.7.2.tar.gz | |
| Hive | apache-hive-1.2.1-bin.tar.gz | 可用DataGrip或者DBeaver连接,需要启动hiveserver2服务 |
| flume | apache-flume-1.7.0-bin.tar.gz | |
| kafka | kafka_2.11-0.11.0.0.tgz | |
| hbase | | |
| zookeeper | 3.5.7 | |
| spark | | |
| mysql | mysql-community-client-5.7.32-1.el7.x86_64.rpm
mysql-community-server-5.7.32-1.el7.x86_64.rpm
mysql-connector-java-5.1.49( <= 放入hive的lib文件) | |
| | | |
# Zookeeper安装
#### *persagy用户操作*
1. 解压
2. 创建 /opt/module/zookeeper-3.4.10/zkData 和 /opt/module/zookeeper-3.4.10/logs 目录
3. 修改配置文件
1. 在zkData文件下创建myid文件(集群的myid必须不同)
```xml
1(此数字与zoo.cfg的server.id对应,具体数值可以自定义)
```
2. 修改zookeeper中conf下的配置文件zoo.cfg
```shell
cp zoo_sample.cfg zoo.cfg
```
```xml
在zoo.cfg文件中添加如下配置:
dataDir=/opt/module/zookeeper-3.4.10/zkData
ZOO_LOG_DIR=/opt/module/zookeeper-3.4.10/logs
## 内容是本机的 serverId(与zkData目下创建的myid对应);以下配置1、2、3就是 serverId
server.1=hadoop01:2888:3888
server.2=hadoop02:2888:3888
server.3=hadoop03:2888:3888
```
# Hadoop集群安装
#### *persagy用户操作*
1. 解压
```shell
tar -zxvf hadoop-2.7.2.tar.gz -C /opt/module/
```
2. /etc/profile 配置环境变量
```shell
#HADOOP_HOME
export HADOOP_HOME=/opt/module/hadoop-2.7.2
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
```
3. 修改 Hadoop 配置文件(目录:/opt/module/hadoop-2.7.2/etc/hadoop)每个节点部署配置相同
1. core-site.xml
```xml
fs.defaultFS
hdfs://hadoop01:9000
hadoop.tmp.dir
/opt/module/hadoop-2.7.2/data/tmp
io.compression.codecs
org.apache.hadoop.io.compress.GzipCodec,
org.apache.hadoop.io.compress.DefaultCodec,
org.apache.hadoop.io.compress.BZip2Codec,
org.apache.hadoop.io.compress.SnappyCodec,
com.hadoop.compression.lzo.LzoCodec,
com.hadoop.compression.lzo.LzopCodec
io.compression.codec.lzo.class
com.hadoop.compression.lzo.LzoCodec
```
2. hdfs-site.xml
```xml
dfs.replication
3
dfs.namenode.secondary.http-address
hadoop03:50090
```
3. yarn-site.xml
```xml
yarn.nodemanager.aux-services
mapreduce_shuffle
yarn.resourcemanager.hostname
hadoop02
yarn.log-aggregation-enable
true
yarn.log-aggregation.retain-seconds
604800
```
4. mapred-site.xml(*需要 cp mapred-site.xml.template mapred-site.xml*)
```xml
mapreduce.framework.name
yarn
mapreduce.jobhistory.address
hadoop03:10020
mapreduce.jobhistory.webapp.address
hadoop03:19888
```
5. hadoop-env.sh
```shell
# The java implementation to use.
export JAVA_HOME=/opt/module/jdk1.8.0_121
```
6. yarn-env.sh
```shell
# some Java parameters
export JAVA_HOME=/opt/module/jdk1.8.0_121
```
7. mapred-env.sh
```shell
# limitations under the License.
export JAVA_HOME=/opt/module/jdk1.8.0_121
```
8. slaves
```xml
hadoop01
hadoop02
hadoop03
```
4. ***(重点)nameNode配置在hadoop01节点,第一次启动之前需要格式化:hdfs namenode -format***
5. 启动Hadoop
1. 在hadoop01节点/opt/module/hadoop-2.7.2/sbin/start-dfs.sh
2. 在hadoop02节点/opt/module/hadoop-2.7.2/sbin/start-yarn.sh
6. 可通过jps在三个节点查看启动情况
# Hive安装
## 安装Hive
1. 解压
```shell
tar -zxvf apache-hive-1.2.1-bin.tar.gz -C /opt/module/hive
```
2. 配置hive-env.xml文件
```shell
mv hive-env.sh.template hive-env.sh
```
```shell
export HADOOP_HOME=/opt/module/hadoop-2.7.2
export HIVE_CONF_DIR=/opt/module/hive/conf
```
3. Hadoop集群配置
1. *启动hdfs和yarn*
2. 在hdfs上创建 /tmp 和 /user/hive/warehouse 目录,同事修改组权限为可写
```shell
[persagy@$hostname hadoop-2.7.2]$ bin/hadoop fs -mkdir /tmp
[persagy@$hostname hadoop-2.7.2]$ bin/hadoop fs -mkdir -p /user/hive/warehouse
[persagy@$hostname hadoop-2.7.2]$ bin/hadoop fs -chmod g+w /tmp
[persagy@$hostname hadoop-2.7.2]$ bin/hadoop fs -chmod g+w /user/hive/warehouse
```
## 安装MySQL
#### 存放Hive元数据,*root用户操作*
1. 检查是否安装MySQL
1. rpm -qa|grep mysql
2. 卸载安装的版本 rpm -e --nodeps
2. 安装服务端
```shell
1. rpm -ivh mysql-community-server-5.7.32-1.el7.x86_64.rpm
2. 初始密码:grep 'temporary password' /var/log/mysqld.log
```
3. 安装客户端
```shell
rpm -ivh mysql-community-client-5.7.32-1.el7.x86_64.rpm
```
4. 修改user表,把Host表内容修改为%
```mysql
update user set host='%' where host='localhost';
flush privileges;
```
5. 配置Hive元数据到MySQL
1. copy驱动包 mysql-connector-java-5.1.49-bin.jar 到 /opt/module/hive/lib/
2. 修改 hive-site.xml
```xml
javax.jdo.option.ConnectionURL
jdbc:mysql://hadoop01:3306/metastore?createDatabaseIfNotExist=true
JDBC connect string for a JDBC metastore
javax.jdo.option.ConnectionDriverName
com.mysql.jdbc.Driver
Driver class name for a JDBC metastore
javax.jdo.option.ConnectionUserName
user
username to use against metastore database
javax.jdo.option.ConnectionPassword
passwd
password to use against metastore database
```
6. HiveJDBC访问
1. 启动 hiveserver2 服务
```shell
nohup bin/hiveserver2 > hiveserver2.out 2> hiveserver2.err &
```
2. 以 DataGrip 为例
1. 引入jar包,hive-jdbc-uber-2.6.5.0-292.jar(根据版本引入) hive-jdbc-uber-2.6.5.0-292.jar
2. 配置如图:
# Kafka安装
1. 解压
```shell
tar -zxvf kafka_2.11-0.11.0.0.tgz -C /opt/module/
```
2. 在kafka目录下创建logs文件
3. 修改配置文件:/config/server.properties
```xml
#broker的全局唯一编号,不能重复,hadoop02的broker.id=2,hadoop03的broker.id=3
broker.id=1
#删除topic功能使能
delete.topic.enable=true
#处理网络请求的线程数量
num.network.threads=3
#用来处理磁盘IO的现成数量
num.io.threads=8
#发送套接字的缓冲区大小
socket.send.buffer.bytes=102400
#接收套接字的缓冲区大小
socket.receive.buffer.bytes=102400
#请求套接字的缓冲区大小
socket.request.max.bytes=104857600
#kafka运行日志存放的路径
log.dirs=/opt/module/kafka/logs
#topic在当前broker上的分区个数
num.partitions=1
#用来恢复和清理data下数据的线程数量
num.recovery.threads.per.data.dir=1
#segment文件保留的最长时间,超时将被删除
log.retention.hours=168
#配置连接Zookeeper集群地址
zookeeper.connect=hadoop01:2181,hadoop02:2181,hadoop03:2181
```
# Hbase安装
## 安装HBase
1. 解压
```shell
tar -zxvf HBase-1.3.1-bin.tar.gz -C /opt/module
```
2. 修改配置文件
1. HBase-env.sh
```xml
export JAVA_HOME=/opt/module/jdk1.6.0_144
export HBASE_MANAGES_ZK=false
```
2. HBase-site.xml
```xml
hbase.rootdir
hdfs://hadoop102:9000/HBase
hbase.cluster.distributed
true
hbase.master.port
16000
hbase.zookeeper.quorum
hadoop102:2181,hadoop103:2181,hadoop104:2181
hbase.zookeeper.property.dataDir
/opt/module/zookeeper-3.4.10/zkData
```
3. regionservers
```xml
hadoop01
hadoop02
hadoop03
```
4. 软连接hadoop配置文件到HBase
```shell
ln -s /opt/module/hadoop-2.7.2/etc/hadoop/core-site.xml /opt/module/hbase-1.3.1/conf/core-site.xml
ln -s /opt/module/hadoop-2.7.2/etc/hadoop/hdfs-site.xml /opt/module/hbase-1.3.1/conf/hdfs-site.xml
```
5. 分发 hbase 到其他节点
## Hive与Hbase映射
1. 拷贝 hive-HBase-handler-1.2.2.jar (此版本根据项目自行决定)到 Hive 的 lib 下
2. 建立软连接
```shell
export HBASE_HOME=/opt/module/HBase
export HIVE_HOME=/opt/module/hive
ln -s $HBASE_HOME/lib/HBase-common-1.3.1.jar $HIVE_HOME/lib/HBase-common-1.3.1.jar
ln -s $HBASE_HOME/lib/HBase-server-1.3.1.jar $HIVE_HOME/lib/HBase-server-1.3.1.jar
ln -s $HBASE_HOME/lib/HBase-client-1.3.1.jar $HIVE_HOME/lib/HBase-client-1.3.1.jar
ln -s $HBASE_HOME/lib/HBase-protocol-1.3.1.jar $HIVE_HOME/lib/HBase-protocol-1.3.1.jar
ln -s $HBASE_HOME/lib/HBase-it-1.3.1.jar $HIVE_HOME/lib/HBase-it-1.3.1.jar
ln -s $HBASE_HOME/lib/htrace-core-3.1.0-incubating.jar $HIVE_HOME/lib/htrace-core-3.1.0-incubating.jar
ln -s $HBASE_HOME/lib/HBase-hadoop2-compat-1.3.1.jar $HIVE_HOME/lib/HBase-hadoop2-compat-1.3.1.jar
ln -s $HBASE_HOME/lib/HBase-hadoop-compat-1.3.1.jar $HIVE_HOME/lib/HBase-hadoop-compat-1.3.1.jar
```
3. 修改配置文件hive-site.xml
```xml
hive.zookeeper.quorum
hadoop01,hadoop02,hadoop03
The list of ZooKeeper servers to talk to. This is only needed for read/write locks.
hive.zookeeper.client.port
2181
The port of ZooKeeper servers to talk to. This is only needed for read/write locks.
```
## flume安装
1. 解压
2. 修改配置文件
将flume / conf下的 flume-env.sh.template 复制为 flume-env.sh
```xml
export JAVA_HOME=/opt/module/jdk1.8.0_121
```