150 lines
5.2 KiB
Markdown
150 lines
5.2 KiB
Markdown
# Sqoop 简介与安装
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<nav>
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<a href="#一Sqoop-简介">一、Sqoop 简介</a><br/>
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<a href="#二安装">二、安装</a><br/>
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<a href="#21-下载并解压">2.1 下载并解压</a><br/>
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<a href="#22-配置环境变量">2.2 配置环境变量</a><br/>
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<a href="#23-修改配置">2.3 修改配置</a><br/>
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<a href="#24-拷贝数据库驱动">2.4 拷贝数据库驱动</a><br/>
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<a href="#25-验证">2.5 验证</a><br/>
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</nav>
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## 一、Sqoop 简介
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一言以蔽之，Sqoop就是一个数据迁移工具。主要就是实现数据的导入与导出。
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+ 导入数据：从MySQL，Oracle等关系型数据库中导入数据到HDFS、Hive、HBase等分布式文件存储系统中
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+ 导出数据：从 分布式文件系统中导出数据到关系数据库中。
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其原理就是将命令转化成 MapReduce 作业来实现数据的迁移。下图就很好的体现了Sqoop的功能和原理。
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<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/sqoop-tool.png"/> </div>
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## 二、安装
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这里先说一下版本的选择：
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目前Sqoop有Sqoop 1和Sqoop 2两个版本，但是截至到目前，官方并不推荐使用Sqoop 2，因为其与Sqoop 1并不兼容，且功能还没有完善，所以这里优先推荐使用Sqoop 1。
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<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/sqoop-version-selected.png"/> </div>
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### 2.1 下载并解压
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下载所需版本的Sqoop ，这里我下载的是`cdh5.15.2`版本，对应Sqoop版本为`1.4.6` 。下载地址为：http://archive.cloudera.com/cdh5/cdh/5/
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```shell
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# 下载后进行解压
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tar -zxvf sqoop-1.4.6-cdh5.15.2.tar.gz
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```
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### 2.2 配置环境变量
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```shell
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# vim /etc/profile
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```
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添加环境变量：
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```shell
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export SQOOP_HOME=/usr/app/sqoop-1.4.6-cdh5.15.2
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export PATH=$SQOOP_HOME/bin:$PATH
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```
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使得配置的环境变量立即生效：
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```shell
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# source /etc/profile
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```
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### 2.3 修改配置
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进入安装目录下的`conf/`目录，拷贝Sqoop的环境配置模板`sqoop-env.sh.template`
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```shell
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# cp sqoop-env-template.sh sqoop-env.sh
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```
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修改`sqoop-env.sh`,增加如下配置（以下配置中`HADOOP_COMMON_HOME`和`HADOOP_MAPRED_HOME`是必须的，其他都是可选的）：
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```shell
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# Set Hadoop-specific environment variables here.
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#Set path to where bin/hadoop is available
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export HADOOP_COMMON_HOME=/usr/app/hadoop-2.6.0-cdh5.15.2
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#Set path to where hadoop-*-core.jar is available
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export HADOOP_MAPRED_HOME=/usr/app/hadoop-2.6.0-cdh5.15.2
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#set the path to where bin/hbase is available
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export HBASE_HOME=/usr/app/hbase-1.2.0-cdh5.15.2
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#Set the path to where bin/hive is available
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export HIVE_HOME=/usr/app/hive-1.1.0-cdh5.15.2
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#Set the path for where zookeper config dir is
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export ZOOCFGDIR=/usr/app/zookeeper-3.4.13/conf
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```
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### 2.4 拷贝数据库驱动
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将MySQL驱动拷贝到Sqoop安装目录的`lib`目录下, MySQL驱动的下载地址为https://dev.mysql.com/downloads/connector/j/ , 在本仓库的[resources](https://github.com/heibaiying/BigData-Notes/tree/master/resources)目录下我也上传了一份，有需要的可以自行下载。
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<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/sqoop-mysql-jar.png"/> </div>
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### 2.5 验证
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由于已经将sqoop的bin目录配置到环境变量，直接使用以下命令验证是否配置成功
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```shell
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# sqoop version
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```
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出现对应的版本信息则代表配置成功
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<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/sqoop-version.png"/> </div>
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这里出现的两个`Warning`警告是因为我们本身就没有用到`HCatalog`,`Accumulo`等软件，忽略即可。默认会去检查在环境变量中是否有配置以上软件，这些都是在`bin/configure-sqoop`文件中配置的，如果想去除这些警告，注释掉不必要的检查即可。
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```shell
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# Check: If we can't find our dependencies, give up here.
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if [ ! -d "${HADOOP_COMMON_HOME}" ]; then
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echo "Error: $HADOOP_COMMON_HOME does not exist!"
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echo 'Please set $HADOOP_COMMON_HOME to the root of your Hadoop installation.'
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exit 1
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fi
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if [ ! -d "${HADOOP_MAPRED_HOME}" ]; then
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echo "Error: $HADOOP_MAPRED_HOME does not exist!"
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echo 'Please set $HADOOP_MAPRED_HOME to the root of your Hadoop MapReduce installation.'
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exit 1
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fi
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## Moved to be a runtime check in sqoop.
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if [ ! -d "${HBASE_HOME}" ]; then
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echo "Warning: $HBASE_HOME does not exist! HBase imports will fail."
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echo 'Please set $HBASE_HOME to the root of your HBase installation.'
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fi
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## Moved to be a runtime check in sqoop.
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if [ ! -d "${HCAT_HOME}" ]; then
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echo "Warning: $HCAT_HOME does not exist! HCatalog jobs will fail."
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echo 'Please set $HCAT_HOME to the root of your HCatalog installation.'
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fi
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if [ ! -d "${ACCUMULO_HOME}" ]; then
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echo "Warning: $ACCUMULO_HOME does not exist! Accumulo imports will fail."
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echo 'Please set $ACCUMULO_HOME to the root of your Accumulo installation.'
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fi
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if [ ! -d "${ZOOKEEPER_HOME}" ]; then
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echo "Warning: $ZOOKEEPER_HOME does not exist! Accumulo imports will fail."
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echo 'Please set $ZOOKEEPER_HOME to the root of your Zookeeper installation.'
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fi
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```
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