Datax下载地址：https://github.com/alibaba/DataX
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Datax MySQL读： https://github.com/alibaba/DataX/blob/master/mysqlreader/doc/mysqlreader.md
Datax MySQL写： https://github.com/alibaba/DataX/blob/master/mysqlwriter/doc/mysqlwriter.md
1.下载安装Datax软件(必须安装jdk 1.8版本以上)
[root@localhost ~]# tar xvf jdk-8u65-linux-x64.tar.gz
[root@localhost ~]# mv jdk1.8.0_151 /usr/local/jdk1.8.0_151
[root@localhost ~]# vim /etc/profile
export PATH=$PATH:/usr/local/jdk1.8.0_151/bin
[root@localhost ~]# vim /etc/ld.so.conf.d/mysql-x86_64.conf
/usr/local/jdk1.8.0_151/lib
[root@localhost ~]# tar xvf datax.tar.gz
[root@localhost ~]# cd datax/job/
2.编辑配置文件(首先用kettle将表结构同步过去)
[root@localhost job]# vim job1.json
{
"job": {
"setting": {
"speed": {
"channel": 5
}
},
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"username": "wangying",
"password": "wangying",
"column": ["*"],
"connection": [
{
"table": ["t3"],
"jdbcUrl": ["jdbc:mysql://172.16.8.93:3306/db_stktag"]
}
]
}
},
"writer": {
"name": "oraclewriter",
"parameter": {
"username": "upcenter",
"password": "upcenter",
"column": ["*"],
"connection": [
{
"jdbcUrl": "jdbc:oracle:thin:@192.168.7.7:1521:upqc",
"table": ["t3"]
}
]
}
}
}
]
}
}
[root@localhost job]#
3.数据抽取
[root@localhost job]# python2 /root/datax/bin/datax.py job1.json
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
2019-01-29 16:10:00.236 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2019-01-29 16:10:00.246 [main] INFO Engine - the machine info =>
osInfo:Oracle Corporation 1.8 25.151-b12
jvmInfo:Linux amd64 3.10.0-123.el7.x86_64
cpu num:8
totalPhysicalMemory:-0.00G
freePhysicalMemory:-0.00G
maxFileDescriptorCount:-1
currentOpenFileDescriptorCount:-1
。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。
。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。
2019-01-29 15:10:04.908 [job-0] INFO JobContainer -
2019-01-29 16:10:14.407 [job-0] INFO JobContainer -
任务启动时刻 : 2019-01-29 16:10:00
任务结束时刻 : 2019-01-29 16:10:14
任务总计耗时 : 14s
任务平均流量 : 176.48KB/s
记录写入速度 : 4047rec/s
读出记录总数 : 40475
读写失败总数 : 0
[root@localhost job]#