文章目录
- 一、Datax概述
- 1.概述
- 2.DataX插件体系
- 3.DataX核心架构
- 二、安装
- 2.1下载并解压
- 2.2运行自检脚本
- 三、基本使用
- 3.1从stream读取数据并打印到控制台
- 1. 查看官方json配置模板
- 2. 根据模板编写json文件
- 3. 运行Job
- 3.2 Mysql导入数据到HDFS
- 1. 查看官方json配置模板
- 2. 根据模板编写json文件
- 3. 运行Job
- 3.3 HDFS数据导出到Mysql
- 1. 将3.2中导入的文件重命名并在数据库创建表
- 2. 查看官方json配置模板
- 3. 根据模板编写json文件
- 4. 运行Job
- 3.4 mysql同步到mysql
- 3.5 mysql同步到hbase
- 3.6 hbase同步到hbase
- 3.7 hbase同步到mysql
- 四、辅助资料
一、Datax概述
1.概述
2.DataX插件体系
3.DataX核心架构
二、安装
2.1下载并解压
源码地址： https://github.com/alibaba/DataX 这里我下载的是最新版本的 DataX3.0 。下载地址为：
http://datax-opensource.oss-cn-hangzhou.aliyuncs.com/datax.tar.gz
# 下载后进行解压
[xiaokang@hadoop ~]$ tar -zxvf datax.tar.gz -C /opt/software/
2.2运行自检脚本
[xiaokang@hadoop ~]$ cd /opt/software/datax/
[xiaokang@hadoop datax]$ bin/datax.py job/job.json
出现以下界面说明DataX安装成功
三、基本使用
3.1从stream读取数据并打印到控制台
1. 查看官方json配置模板
[xiaokang@hadoop ~]$ python /opt/software/datax/bin/datax.py -r streamreader -w streamwriter
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
Please refer to the streamreader document:
https://github.com/alibaba/DataX/blob/master/streamreader/doc/streamreader.md
Please refer to the streamwriter document:
https://github.com/alibaba/DataX/blob/master/streamwriter/doc/streamwriter.md
Please save the following configuration as a json file and use
python {DATAX_HOME}/bin/datax.py {JSON_FILE_NAME}.json
to run the job.
{
"job": {
"content": [
{
"reader": {
"name": "streamreader",
"parameter": {
"column": [],
"sliceRecordCount": ""
}
},
"writer": {
"name": "streamwriter",
"parameter": {
"encoding": "",
"print": true
}
}
}
],
"setting": {
"speed": {
"channel": ""
}
}
}
}
2. 根据模板编写json文件
{
"job": {
"content": [
{
"reader": {
"name": "streamreader",
"parameter": {
"column": [
{
"type":"string",
"value":"xiaokang-微信公众号:小康新鲜事儿"
},
{
"type":"string",
"value":"你好，世界-DataX"
}
],
"sliceRecordCount": "10"
}
},
"writer": {
"name": "streamwriter",
"parameter": {
"encoding": "utf-8",
"print": true
}
}
}
],
"setting": {
"speed": {
"channel": "2"
}
}
}
}3. 运行Job
[xiaokang@hadoop json]$ /opt/software/datax/bin/datax.py ./stream2stream.json
3.2 Mysql导入数据到HDFS
示例：导出 MySQL 数据库中的 help_keyword 表到 HDFS 的 /datax目录下(此目录必须提前创建)。
1. 查看官方json配置模板
[xiaokang@hadoop json]$ python /opt/software/datax/bin/datax.py -r mysqlreader -w hdfswriter
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
Please refer to the mysqlreader document:
https://github.com/alibaba/DataX/blob/master/mysqlreader/doc/mysqlreader.md
Please refer to the hdfswriter document:
https://github.com/alibaba/DataX/blob/master/hdfswriter/doc/hdfswriter.md
Please save the following configuration as a json file and use
python {DATAX_HOME}/bin/datax.py {JSON_FILE_NAME}.json
to run the job.
{
"job": {
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"column": [],
"connection": [
{
"jdbcUrl": [],
"table": []
}
],
"password": "",
"username": "",
"where": ""
}
},
"writer": {
"name": "hdfswriter",
"parameter": {
"column": [],
"compress": "",
"defaultFS": "",
"fieldDelimiter": "",
"fileName": "",
"fileType": "",
"path": "",
"writeMode": ""
}
}
}
],
"setting": {
"speed": {
"channel": ""
}
}
}
}
2. 根据模板编写json文件
{
"job": {
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"column": [
"help_keyword_id",
"name"
],
"connection": [
{
"jdbcUrl": [
"jdbc:mysql://192.168.1.106:3306/mysql"
],
"table": [
"help_keyword"
]
}
],
"password": "xiaokang",
"username": "root"
}
},
"writer": {
"name": "hdfswriter",
"parameter": {
"column": [
{
"name":"help_keyword_id",
"type":"int"
},
{
"name":"name",
"type":"string"
}
],
"defaultFS": "hdfs://hadoop:9000",
"fieldDelimiter": "|",
"fileName": "keyword.txt",
"fileType": "text",
"path": "/datax",
"writeMode": "append"
}
}
}
],
"setting": {
"speed": {
"channel": "3"
}
}
}
}3. 运行Job
[xiaokang@hadoop json]$ /opt/software/datax/bin/datax.py ./mysql2hdfs.json
3.3 HDFS数据导出到Mysql
1. 将3.2中导入的文件重命名并在数据库创建表
[xiaokang@hadoop ~]$ hdfs dfs -mv /datax/keyword.txt__4c0e0d04_e503_437a_a1e3_49db49cbaaed /datax/keyword.txt
表必须预先创建，建表语句如下：
CREATE TABLE help_keyword_from_hdfs_datax LIKE help_keyword;
2. 查看官方json配置模板
[xiaokang@hadoop json]$ python /opt/software/datax/bin/datax.py -r hdfsreader -w mysqlwriter
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
Please refer to the hdfsreader document:
https://github.com/alibaba/DataX/blob/master/hdfsreader/doc/hdfsreader.md
Please refer to the mysqlwriter document:
https://github.com/alibaba/DataX/blob/master/mysqlwriter/doc/mysqlwriter.md
Please save the following configuration as a json file and use
python {DATAX_HOME}/bin/datax.py {JSON_FILE_NAME}.json
to run the job.
{
"job": {
"content": [
{
"reader": {
"name": "hdfsreader",
"parameter": {
"column": [],
"defaultFS": "",
"encoding": "UTF-8",
"fieldDelimiter": ",",
"fileType": "orc",
"path": ""
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"column": [],
"connection": [
{
"jdbcUrl": "",
"table": []
}
],
"password": "",
"preSql": [],
"session": [],
"username": "",
"writeMode": ""
}
}
}
],
"setting": {
"speed": {
"channel": ""
}
}
}
}
3. 根据模板编写json文件
{
"job": {
"content": [
{
"reader": {
"name": "hdfsreader",
"parameter": {
"column": [
"*"
],
"defaultFS": "hdfs://hadoop:9000",
"encoding": "UTF-8",
"fieldDelimiter": "|",
"fileType": "text",
"path": "/datax/keyword.txt"
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"column": [
"help_keyword_id",
"name"
],
"connection": [
{
"jdbcUrl": "jdbc:mysql://192.168.1.106:3306/mysql",
"table": ["help_keyword_from_hdfs_datax"]
}
],
"password": "xiaokang",
"username": "root",
"writeMode": "insert"
}
}
}
],
"setting": {
"speed": {
"channel": "3"
}
}
}
}4. 运行Job
[xiaokang@hadoop json]$ /opt/software/datax/bin/datax.py ./hdfs2mysql.json
3.4 mysql同步到mysql
{
"job": {
"content": [{
"reader": {
"name": "mysqlreader",
"parameter": {
"password": "gee123456",
"username": "geespace",
"connection": [{
"jdbcUrl": ["jdbc:mysql://192.168.20.75:9950/geespace_bd_platform_dev"],
"querySql": ["SELECT id, name FROM test_test"]
}]
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"column": ["id", "name"],
"password": "gee123456",
"username": "geespace",
"writeMode": "insert",
"connection": [{
"table": ["test_test_1"],
"jdbcUrl": "jdbc:mysql://192.168.20.75:9950/geespace_bd_platform_dev"
}]
}
}
}],
"setting": {
"speed": {
"channel": 1
},
"errorLimit": {
"record": 0,
"percentage": 0.02
}
}
}
}3.5 mysql同步到hbase
{
"job": {
"content": [{
"reader": {
"name": "mysqlreader",
"parameter": {
"password": "gee123456",
"username": "geespace",
"connection": [{
"jdbcUrl": ["jdbc:mysql://192.168.20.75:9950/geespace_bd_platform_dev"],
"querySql": ["SELECT id, name FROM test_test"]
}]
}
},
"writer": {
"name": "hbase11xwriter",
"parameter": {
"mode": "normal",
"table": "test_test_1",
"column": [{
"name": "f:id",
"type": "string",
"index": 0
}, {
"name": "f:name",
"type": "string",
"index": 1
}],
"encoding": "utf-8",
"hbaseConfig": {
"hbase.zookeeper.quorum": "192.168.20.91:2181",
"zookeeper.znode.parent": "/hbase"
},
"rowkeyColumn": [{
"name": "f:id",
"type": "string",
"index": 0
}, {
"name": "f:name",
"type": "string",
"index": 1
}]
}
}
}],
"setting": {
"speed": {
"channel": 1
},
"errorLimit": {
"record": 0,
"percentage": 0.02
}
}
}
}3.6 hbase同步到hbase
{
"job": {
"content": [{
"reader": {
"name": "hbase11xreader",
"parameter": {
"mode": "normal",
"table": "test_test",
"column": [{
"name": "f:id",
"type": "string"
}, {
"name": "f:name",
"type": "string"
}],
"encoding": "utf-8",
"hbaseConfig": {
"hbase.zookeeper.quorum": "192.168.20.91:2181",
"zookeeper.znode.parent": "/hbase"
}
}
},
"writer": {
"name": "hbase11xwriter",
"parameter": {
"mode": "normal",
"table": "test_test_1",
"column": [{
"name": "f:id",
"type": "string",
"index": 0
}, {
"name": "f:name",
"type": "string",
"index": 1
}],
"encoding": "utf-8",
"hbaseConfig": {
"hbase.zookeeper.quorum": "192.168.20.91:2181",
"zookeeper.znode.parent": "/hbase"
},
"rowkeyColumn": [{
"name": "f:id",
"type": "string",
"index": 0
}, {
"name": "f:name",
"type": "string",
"index": 1
}]
}
}
}],
"setting": {
"speed": {
"channel": 1
},
"errorLimit": {
"record": 0,
"percentage": 0.02
}
}
}
}3.7 hbase同步到mysql
{
"job": {
"content": [{
"reader": {
"name": "hbase11xreader",
"parameter": {
"mode": "normal",
"table": "test_test_1",
"column": [{
"name": "f:id",
"type": "string"
}, {
"name": "f:name",
"type": "string"
}],
"encoding": "utf-8",
"hbaseConfig": {
"hbase.zookeeper.quorum": "192.168.20.91:2181",
"zookeeper.znode.parent": "/hbase"
}
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"column": ["id", "name"],
"password": "gee123456",
"username": "geespace",
"writeMode": "insert",
"connection": [{
"table": ["test_test"],
"jdbcUrl": "jdbc:mysql://192.168.20.75:9950/geespace_bd_platform_dev"
}]
}
}
}],
"setting": {
"speed": {
"channel": 1
},
"errorLimit": {
"record": 0,
"percentage": 0.02
}
}
}
}
