Sqoop2从Mysql导入Hdfs的过程

这篇文章主要讲解了“Sqoop2从MySQL导入Hdfs的过程”，文中的讲解内容简单清晰，易于学习与理解，下面请大家跟着小编的思路慢慢深入，一起来研究和学习“Sqoop2从Mysql导入Hdfs的过程”吧！

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一、环境搭建

1.Hadoop

http://my.oschina.net/u/204498/blog/519789

2.Sqoop2.x

http://my.oschina.net/u/204498/blog/518941

3. mysql

二、从mysql导入hdfs

1.创建mysql数据库、表、以及测试数据

xxxxxxxx$  mysql -uroot -p
Enter password: 

mysql> show databases;
+--------------------+
| Database           |
+--------------------+
| information_schema |
| mysql              |
| performance_schema |
| test               |
+--------------------+
4 rows in set (0.00 sec)

test  => 是新建的数据库

mysql> use test;

mysql> show tables;
+----------------------+
| Tables_in_test       |
+----------------------+               |
| test                 |
+----------------------+
1 rows in set (0.00 sec)

test => 是新增的表

mysql> desc test;
+-------+-------------+------+-----+---------+----------------+
| Field | Type        | Null | Key | Default | Extra          |
+-------+-------------+------+-----+---------+----------------+
| id    | int(11)     | NO   | PRI | NULL    | auto_increment |
| name  | varchar(45) | YES  |     | NULL    |                |
| age   | int(11)     | YES  |     | NULL    |                |
+-------+-------------+------+-----+---------+----------------+
3 rows in set (0.00 sec)

mysql> select * from test;
+----+------+------+
| id | name | age  |
+----+------+------+
|  7 | a    |    1 |
|  8 | b    |    2 |
|  9 | c    |    3 |
+----+------+------+
3 rows in set (0.00 sec)

2. 为各个用户授权

注意：sqoop提交job后，各个节点在map阶段会访问数据库，所以需事先授权

mysql> grant [all | select | ...] on {db}.{table} to {user}@{host} identified by {passwd};
mysql> flush privileges;

#我给特定的hostname授权 username:root passwd:root 访问db:test 中任意table,权限是all
mysql> grant all on test.* to 'root'@{host} identified by 'root';

3.启动sqoop2-server

[hadoop@hftclclw0001 sqoop-1.99.6-bin-hadoop200]$ pwd
/home/hadoop/sqoop-1.99.6-bin-hadoop200

[hadoop@hftclclw0001 sqoop-1.99.6-bin-hadoop200]$ ./bin/sqoop2-server start
...
...

webui可以访问校验，也可以查看log

4.启动sqoop2-shell

[hadoop@hftclclw0001 sqoop-1.99.6-bin-hadoop200]$ pwd
/home/hadoop/sqoop-1.99.6-bin-hadoop200

[hadoop@hftclclw0001 sqoop-1.99.6-bin-hadoop200]$ ./bin/sqoop2-shell 
...
...

sqoop:000> show version
...
...

sqoop:000> show connector
+----+------------------------+---------+------------------------------------------------------+----------------------+
| Id |          Name          | Version |                        Class                         | Supported Directions |
+----+------------------------+---------+------------------------------------------------------+----------------------+
| 1  | generic-jdbc-connector | 1.99.6  | org.apache.sqoop.connector.jdbc.GenericJdbcConnector | FROM/TO              |
| 2  | kite-connector         | 1.99.6  | org.apache.sqoop.connector.kite.KiteConnector        | FROM/TO              |
| 3  | hdfs-connector         | 1.99.6  | org.apache.sqoop.connector.hdfs.HdfsConnector        | FROM/TO              |
| 4  | kafka-connector        | 1.99.6  | org.apache.sqoop.connector.kafka.KafkaConnector      | TO                   |
+----+------------------------+---------+------------------------------------------------------+----------------------+

根据你的connector创建connector
sqoop:000> create link -c 1      => 先创建jdbc
会填写name、jdbc-driver、url、username、passwd等等

sqoop:000> create link -c 3      => 创建hdfs
会填写name、hdfs url、等等

sqoop:000> show link
+----+-------------+--------------+------------------------+---------+
| Id |    Name     | Connector Id |     Connector Name     | Enabled |
+----+-------------+--------------+------------------------+---------+
| 3  | 10-21_jdbc1 | 1            | generic-jdbc-connector | true    |
| 4  | 10-21_hdfs1 | 3            | hdfs-connector         | true    |
+----+-------------+--------------+------------------------+---------+

创建job -f=> from  -t to 即从哪些导入到哪里
sqoop:000> create job -f 3 -t 4
会填写，相应的table信息。还有hdfs信息

sqoop:000> show job             
+----+---------------+----------------+--------------+---------+
| Id |     Name      | From Connector | To Connector | Enabled |
+----+---------------+----------------+--------------+---------+
| 1  | 10-20_sqoopy2 | 1              | 3            | true    |
+----+---------------+----------------+--------------+---------+

#启动job
sqoop:000> start job -j 2
...
...
...

可以再webui上访问到，查看进度，也可以使用
sqoop:000> status job -j 2

sqoop的guide

http://sqoop.apache.org/

5.troubleshooting

多看日志，慢慢的排查

感谢各位的阅读，以上就是“Sqoop2从Mysql导入Hdfs的过程”的内容了，经过本文的学习后，相信大家对Sqoop2从Mysql导入Hdfs的过程这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是创新互联，小编将为大家推送更多相关知识点的文章，欢迎关注！