sqoop安装与使用
sqoop简介
sqoop名字是怎么来的?Sqoop: SQL-to-Hadoop
连接传统数据库和hadoop的桥梁,把关系型数据库的数据导入到hadoop系统(如HDFS,HBASE和hive中),把数据从hadoop系统里抽取并导出到关系型数据库里。利用MapReduce加快数据传输速度,批量处理方式进行数据传输。
特点
- 高效、可控地利用资源
任务并行度,超市时间等
- 数据类型映射与转换
可自动进行,用户也可自定义
- 支持多种数据库
mysql,oracle,PostgreSQL
1.环境准备
- 准备sqoop安装包。
- 需要确认在sqoop上的主机上能访问mysql的主机。
- 修改hosts文件,检查防火墙,解压安装文件。
2.设计安装目录
- 安装目录:/home/biedong/
3.修改配置文件
1.修改环境变量
#添加环境变量 /etc/profile,添加如下信息
export SQOOP_HOME=/home/biedong/sqoop-1.4.6.bin__hadoop-0.23
export PATH=$SQOOP_HOME/bin:$PATH
export LOGDIR=$SQOOP_HOME/logs
#立即生效
source /etc/profile
2.修改配置文件
#在${SQOOP_HOME}/conf中执行命令
mv sqoop-env-template.sh sqoop-env.sh
#在conf目录下,有两个文件sqoop-site.xml和sqoop-site-template.xml内容是完全一样的,不必在意,我们只关心sqoop-site.xml即可。
3.修改配置文件sqoop-env.sh
#Set path to where bin/hadoop is available
#hadoop安装路径,如果之前在/etc/profile可以不用配置
export HADOOP_COMMON_HOME=/home/biedong/hadoop-2.7.0 #Set path to where hadoop-*-core.jar is available
#如果之前在/etc/profile可以不用配置
export HADOOP_MAPRED_HOME=/home/biedong/hadoop-2.7.0 #set the path to where bin/hbase is available
#如果之前在/etc/profile可以不用配置,如果没有hbase也可以不用配置
#export HBASE_HOME= #Set the path to where bin/hive is available
#如果之前在/etc/profile可以不用配置,如果没有hive也可以不用配置
export HIVE_HOME=/home/biedong/apache-hive-1.2.1-bin #Set the path for where zookeper config dir is
#如果之前在/etc/profile可以不用配置,如果没有zk也可以不用配置
#export ZOOCFGDIR=
4.上传mysql的驱动包
#在${SQOOP_HOME}/lib中上传mysql的jdbc
文件名称:mysql-connector-java-5.1.26-bin.jar,网上可以下载
4.安装测试
执行命令检查一下,如果没明显报错证明安装成功
sqoop list-databases --connect jdbc:mysql://192.168.14.88:3306 --username root --password 123456
执行结果:
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