1.安装准备工作：
已经装好的hadoop环境是hadoop 2.2.0
下载的sqoop安装包（注意是hadoop200）
http://www.us.apache.org/dist/sqoop/1.99.3/sqoop-1.99.3-bin-hadoop200.tar.gz
2.解压文件到工作目录:
hadoop@hadoopMaster:$ sudo tar -xvf /opt/hn/hadoop_family/sqoop-1.99.3-bin-hadoop200.tar.gz
hadoop@hadoopMaster:mv /opt/hn/hadoop_family/sqoop-1.99.3-bin-hadoop200 /usr/local/sqoop
3.修改环境变量：
hadoop@hadoopMaster:~$ vim /etc/profile
添加如下内容：
#sqoop
export SQOOP_HOME=/usr/local/sqoop
export PATH=$SQOOP_HOME/bin:$PATH
export CATALINA_HOME=$SQOOP_HOME/server
export LOGDIR=$SQOOP_HOME/logs
保存退出即时生效：
source /etc/profile
4.修改sqoop配置：
hadoop@hadoopMaster:~$ vim /usr/local/sqoop/server/conf/sqoop.properties
#修改指向我的hadoop安装目录
org.apache.sqoop.submission.engine.mapreduce.configuration.directory=/usr/local/hadoop/
#把hadoop目录下的jar包都引进来
hadoop@hadoopMaster:~$ vim /usr/local/sqoop/server/conf/catalina.properties
common.loader=/usr/local/hadoop/share/hadoop/common/*.jar,/usr/local/hadoop/share/hadoop/common/lib/*.jar,/usr/local/hadoop/share/hadoop/hdfs/*.jar,/usr/local/hadoop/share/hadoop/hdfs/lib/*.jar,/usr/local/hadoop/share/hadoop/mapreduce/*.jar,/usr/local/hadoop/share/hadoop/mapreduce/lib/*.jar,/usr/local/hadoop/share/hadoop/tools/*.jar,/usr/local/hadoop/share/hadoop/tools/lib/*.jar,/usr/local/hadoop/share/hadoop/yarn/*.jar,/usr/local/hadoop/share/hadoop/yarn/lib/*.jar,/usr/local/hadoop/share/hadoop/httpfs/tomcat/lib/*.jar
5.下载mysql驱动包
mysql-connector-java-5.1.16-bin.jar
6.启动/停止sqoop200
hadoop@hadoopMaster:/usr/local/sqoop/bin$ ./sqoop.sh server start/stop
查看启动日志：
hadoop@hadoopMaster:/usr/local/sqoop/server/logs$ vim catalina.out
7.进入客户端交互目录
hadoop@hadoopMaster:/usr/local/sqoop/bin$ ./sqoop.sh client
+------------------------------------------+
|Sqoop home directory: /usr/local/sqoop |
|Sqoop Shell: Type 'help' or '\h' for help.|
|sqoop:000> |
+------------------------------------------+
为客户端配置服务器：
+---------------------------------------------------------------------+
|sqoop:000> set server --host hadoopMaster --port 12000 --webapp sqoop|
|Server is set successfully |
+---------------------------------------------------------------------+
查版本信息：
+-----------------------------------------------------------------+
|sqoop:000> show version --all |
|client version: |
| Sqoop 1.99.3 revision 2404393160301df16a94716a3034e31b03e27b0b |
| Compiled by mengweid on Fri Oct 18 14:15:53 EDT 2013 |
|server version: |
| Sqoop 1.99.3 revision 2404393160301df16a94716a3034e31b03e27b0b |
| Compiled by mengweid on Fri Oct 18 14:15:53 EDT 2013 |
|Protocol version: |
| [1] |
+-----------------------------------------------------------------+
显示连接器：
+---------------------------------------------------------------------------------------------+
|sqoop:000> show connector --all |
|1 connector(s) to show: |
|Connector with id 1: |
| Name: generic-jdbc-connector |
| Class: org.apache.sqoop.connector.jdbc.GenericJdbcConnector |
| Version: 1.99.3 |
| Supported job types: [IMPORT, EXPORT] |
| Connection form 1: |
| Name: connection |
| Label: Connection configuration |
| Help: You must supply the information requested in order to create a connection object.|
| Input 1: |
| . |
| . |
| . |
| 太长了，就拷贝这一点 |
+---------------------------------------------------------------------------------------------+
创建数据库连接：
+---------------------------------------------------------------------------------------------+
|sqoop:000> create connection --cid 1 |
|Creating connection for connector with id 1 |
|Please fill following values to create new connection object |
|Name: My first |
| |
|Connection configuration |
| |
|JDBC Driver Class: com.mysql.jdbc.Driver |
|JDBC Connection String: jdbc:mysql://localhost:3306/sqoop_stu |
|Username: root |
|Password: ********** |
|JDBC Connection Properties: |
|There are currently 0 values in the map: |
|entry# |
| |
|Security related configuration options |
| |
|Max connections: 100 |
|New connection was successfully created with validation status FINE and persistent id 1 |
+---------------------------------------------------------------------------------------------+
创建导入任务
+------------------------------------------------------------------------------------+
|sqoop:001> create job --xid 1 --type import |
|Creating job for connection with id 1 |
|Please fill following values to create new job object |
|Name: First job |
| |
|Database configuration |
| |
|Schema name: traceweb |
|Table name: trace_web_application |
|Table SQL statement: |
|Table column names: |
|Partition column name: |
|Nulls in partition column: |
|Boundary query: |
| |
|Output configuration |
| |
|Storage type: |
| 0 : HDFS |
|Choose: 0 |
|Output format: |
| 0 : TEXT_FILE |
| 1 : SEQUENCE_FILE |
|Choose: 1 |
|Compression format: |
| 0 : NONE |
| 1 : DEFAULT |
| 2 : DEFLATE |
| 3 : GZIP |
| 4 : BZIP2 |
| 5 : LZO |
| 6 : LZ4 |
| 7 : SNAPPY |
|Choose: 0 |
|Output directory: /opt/sqoop_output |
| |
|Throttling resources |
| |
|Extractors: |
|Loaders: |
|New job was successfully created with validation status FINE and persistent id 1 |
+------------------------------------------------------------------------------------+
启动job：
+------------------------------------------------
|sqoop:000> start job --jid 1
+------------------------------------------------
查看导入状态：
+------------------------------------------------
|sqoop:000> status job --jid 1
|Submission details
|Job ID: 1
|Server URL: http://hadoopMaster:12000/sqoop/
|Created by: hadoop
|Creation date: 2014-05-23 18:51:05 CST
|Lastly updated by: hadoop
|External ID: job_local1566994033_0001
| http://localhost:8080/
|2014-05-23 18:51:35 CST: UNKNOWN
+------------------------------------------------
查看输出目录：
+--------------------------------------------------------------------+
hadoop@hadoopMaster:~$ l /opt/sqoop_output/
总用量 92
drwxrwxr-x 2 hadoop hadoop 4096 5月 23 18:52 .
drwxr-xr-x 8 hadoop hadoop 4096 5月 23 18:51 ..
-rw-r--r-- 1 hadoop hadoop 209 5月 23 18:51 part-m-00000.seq
-rw-rw-r-- 1 hadoop hadoop 12 5月 23 18:51 .part-m-00000.seq.crc
-rw-r--r-- 1 hadoop hadoop 86 5月 23 18:51 part-m-00001.seq
-rw-rw-r-- 1 hadoop hadoop 12 5月 23 18:51 .part-m-00001.seq.crc
-rw-r--r-- 1 hadoop hadoop 86 5月 23 18:51 part-m-00002.seq
-rw-rw-r-- 1 hadoop hadoop 12 5月 23 18:51 .part-m-00002.seq.crc
-rw-r--r-- 1 hadoop hadoop 86 5月 23 18:51 part-m-00003.seq
-rw-rw-r-- 1 hadoop hadoop 12 5月 23 18:51 .part-m-00003.seq.crc
-rw-r--r-- 1 hadoop hadoop 86 5月 23 18:51 part-m-00004.seq
-rw-rw-r-- 1 hadoop hadoop 12 5月 23 18:51 .part-m-00004.seq.crc
-rw-r--r-- 1 hadoop hadoop 86 5月 23 18:51 part-m-00005.seq
-rw-rw-r-- 1 hadoop hadoop 12 5月 23 18:51 .part-m-00005.seq.crc
-rw-r--r-- 1 hadoop hadoop 207 5月 23 18:51 part-m-00006.seq
-rw-rw-r-- 1 hadoop hadoop 12 5月 23 18:51 .part-m-00006.seq.crc
-rw-r--r-- 1 hadoop hadoop 86 5月 23 18:51 part-m-00007.seq
-rw-rw-r-- 1 hadoop hadoop 12 5月 23 18:51 .part-m-00007.seq.crc
-rw-r--r-- 1 hadoop hadoop 206 5月 23 18:51 part-m-00008.seq
-rw-rw-r-- 1 hadoop hadoop 12 5月 23 18:51 .part-m-00008.seq.crc
-rw-r--r-- 1 hadoop hadoop 682 5月 23 18:51 part-m-00009.seq
-rw-rw-r-- 1 hadoop hadoop 16 5月 23 18:51 .part-m-00009.seq.crc
-rw-r--r-- 1 hadoop hadoop 0 5月 23 18:51 _SUCCESS
-rw-rw-r-- 1 hadoop hadoop 8 5月 23 18:51 ._SUCCESS.crc
+--------------------------------------------------------------------
sqoop:000> show job
+----+------------+--------+-----------+---------+
| Id | Name | Type | Connector | Enabled |
+----+------------+--------+-----------+---------+
| 1 | First job | IMPORT | 1 | true |
| 2 | importHDFS | IMPORT | 1 | true |
+----+------------+--------+-----------+---------+
sqoop:000> delete job --jid 1
sqoop:000> show job
+----+------------+--------+-----------+---------+
| Id | Name | Type | Connector | Enabled |
+----+------------+--------+-----------+---------+
| 2 | importHDFS | IMPORT | 1 | true |
+----+------------+--------+-----------+---------+
sqoop:000> delete job --jid 2
sqoop:000> show job
+----+------+------+-----------+---------+
| Id | Name | Type | Connector | Enabled |
+----+------+------+-----------+---------+
+----+------+------+-----------+---------+
sqoop:000> show connection
批处理模式：
sqoop.sh client /opt/sqoop/script.sqoop
hadoop@hadoopMaster:$ vim /opt/sqoop/script.sqoop
#指定服务器信息
set server --host hadoopMaster --port 12000 --webapp sqoop
#执行JOB
start job --jid 1
+--------------------------------------------------------------------+
hadoop@hadoopMaster:/usr/local/sqoop/bin$ ./sqoop.sh client /opt/hadoop/mysql/batchModel.sqoop
Sqoop home directory: /usr/local/sqoop
sqoop:000> set server --host hadoopMaster --port 12000 --webapp sqoop
Server is set successfully
sqoop:000> start job --jid 1
Submission details
Job ID: 1
Server URL: http://hadoopMaster:12000/sqoop/
Created by: hadoop
Creation date: 2014-05-30 10:55:10 CST
Lastly updated by: hadoop
External ID: job_local945860799_0003
http://localhost:8080/
2014-05-30 10:55:10 CST: BOOTING - Progress is not available
+--------------------------------------------------------------------+
https://cwiki.apache.org/confluence/display/SQOOP/Sqoop2+Quickstart#Sqoop2Quickstart-Fullimportdemo
================================MYSQL=======================================
hadoop@hadoopMaster:~$ mysql -uroot -pjava
mysql> create database sqoop_stu;
Query OK, 1 row affected (0.03 sec)
mysql> use sqoop_stu;
Database changed
mysql> create table student(id int(3) auto_increment not null primary key, name char(10) not null, address varchar(50));
Query OK, 0 rows affected (0.41 sec)
mysql> insert into student values(1, 'Tom','beijing'),(2, 'Joan','shanghai'), (3, 'Wang', 'shenzheng');
Query OK, 3 rows affected (0.07 sec)
Records: 3 Duplicates: 0 Warnings: 0
CREATE TABLE `demo_blog` (`id` int(11) NOT NULL AUTO_INCREMENT, `blog` varchar(100) NOT NULL, PRIMARY KEY (`id`)) ENGINE=MyISAM DEFAULT CHARSET=utf8;
CREATE TABLE `demo_log` (`operator` varchar(16) NOT NULL, `log` varchar(100) NOT NULL) ENGINE=MyISAM DEFAULT CHARSET=utf8;
https://hbase.apache.org/book/configuration.html#hadoop
http://www.tuicool.com/articles/NVfEVnn
分享到：
相关推荐
大数据技术基础实验报告-sqoop的安装配置与应用
hadoop中的sqoop安装与使用
sqoop的安装和基本操作.mp4
第9章 Sqoop组件安装配置.pdf
第9章 Sqoop组件安装配置.docx
sqoop2安装文档，这个很全面，每一步都有，希望对你有所帮助
Sqoop学习文档(1){Sqoop基本概念、Sqoop的安装配置}。记录我的学习之旅，每份文档倾心倾力，带我成我大牛，回头观望满脸笑意，望大家多多给予意见，有问题或错误，请联系 我将及时改正；借鉴文章标明出处，谢谢
sqoop安装详解以及sqoop内容介绍使用介绍 集群介绍 sqoop：是一个工具，主要用于导入导出，实现MySQL到Hadoop之间数据的转换 2、导入数据：从结构化数据（Mysql,oracle,db2,）导入到半结构化或非结构化hadoop中...
第十二节、sqoop的安装与使用第十二节、sqoop的安装与使用一、功能概述二、安装配置1. 解压缩文件2. 配置文件3. 拷贝jar包4. 环境变量三、常用功
Hadoop hbase hive sqoop集群环境安装配置及使用文档
大数据
大数据离线分析系统，基于hadoop的hive以及sqoop的安装和配置
Sqoop相关知识; 多数使用Hadoop技术处理大数据业务的企业，有大量的数据存储在关系型数据中。由于没有工具支持，Hadoop和关系型数据库之间的数据传输是很困难的事情。传统的应用程序管理系统，即应用程序与使用RDBMS...
包括数据导入，导出，[www.javaxxz.com]1.02_02_01_17 回顾复Sqoop的使用及布置作业（oracle与hadoop数据的import）
本文详细介绍了sqoop工具的安装以及怎么使用，可以快速上手
Sqoop即 SQL to Hadoop ，是一款方便的在传统型数据库与Hadoop之间进行数据迁移的工具，充分利用MapReduce并行特点以批处理的方式加快数据传输
sqoop安装与简单使用
sqoop及其安装文档
Sqoop(发音：skup)是一款开源的工具，主要用于在Hadoop(Hive)与传统的数据库(mysql、postgresql...)间进行数据的传递，可以将一个关系型数据库（例如 ： MySQL ,Oracle ,Postgres等）中的数据导进到Hadoop的HDFS中，...