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作者：烧鸡太子爷
起源：恒生 LIGHT 云社区
后面做了 DataX 介绍以及装置，上面咱们用一个实例来阐明下 DataX 的运行，也整顿了一些理论使用的过程中的留神点
DataX 运行
运行命令
（1）查看模板：python ${DATAX_HOME}\bin\datax.py -r 读插件类型 -w 写插件类型
举例: mysql 导入到 orcale 数据库 python ${DATAX_HOME}\bin\datax.py -r mysqlreader -w oraclewriter（2）执行工作（通过读 json 配置文件配置运行）：python ${DATAX_HOME}\bin\datax.py {json 配置文件}举例（从 pgsql 数据传输到 mysql）
（1）查看模板
python datax.py -r postgresqlreader -w mysqlwriter
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 postgresqlwriter document:
https://github.com/alibaba/DataX/blob/master/postgresqlwriter/doc/postgresqlwriter.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": { // 读入库配置
"name": "postgresqlreader", // 数据源名称
"parameter": { // 数据库配置信息
"column": [],
"connection": [
{"jdbcUrl": [],
"table": []}
],
"password": "","username":"",
"where": "" // 数据过滤条件
}
},
"writer": { // 写入库配置
"name": "mysqlwriter", // 数据库名称
"parameter": { // 数据库配置信息
"column": [],
"connection": [
{"jdbcUrl": "","table": []
}
],
"password": "","postSql": [], // 工作执行后操作"preSql": [], // 工作执行前操作"username":""
}
}
}
],
"setting": { // 根本配置
"speed": { // 流量管制
"channel": "" // 并发数, 提供了通道 (并发)、记录流、字节流三种流控模式
}
}
}// 还能够配置脏数据管制等配置
}（2）依据模板编辑配置
{
"job": {
"setting": {
"speed": {
"channel": 3,
"byte": 1048576
},
"errorLimit": {
"record": 0,
"percentage": 0.02
}
},
"content": [{
"reader": {
"name": "postgresqlreader",
"parameter": {
"username": "authenticator",
"password": "financegtn104",
"column": [
"\"id\"","\"name\"",
"\"content_type_id\"","\"codename\""
],
"splitPk": "","connection": [{"table": ["public.auth_permission"],"jdbcUrl": ["jdbc:postgresql://10.20.64.241:5433/finance"]
}]
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"username": "root",
"password": "hundsun1234",
"column": [
"`id`",
"`name`",
"`content_type_id`",
"`codename`"
],
"connection": [{
"table": ["auth_permission"],
"jdbcUrl": "jdbc:mysql://10.20.64.151:3306/datax_test"
}]
}
}
}]
}
}（3）执行 Job
python ./bin/datax.py ./job/mysql2pgsql.json
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
2020-08-05 13:01:22.518 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2020-08-05 13:01:22.524 [main] INFO Engine - the machine info =>
osInfo: Oracle Corporation 1.8 25.181-b13
jvmInfo: Linux amd64 3.10.0-862.11.6.el7.x86_64
cpu num: 8
totalPhysicalMemory: -0.00G
freePhysicalMemory: -0.00G
maxFileDescriptorCount: -1
currentOpenFileDescriptorCount: -1
GC Names [PS MarkSweep, PS Scavenge]
MEMORY_NAME | allocation_size | init_size
PS Eden Space | 256.00MB | 256.00MB
Code Cache | 240.00MB | 2.44MB
Compressed Class Space | 1,024.00MB | 0.00MB
PS Survivor Space | 42.50MB | 42.50MB
PS Old Gen | 683.00MB | 683.00MB
Metaspace | -0.00MB | 0.00MB
2020-08-05 13:01:22.541 [main] INFO Engine -
{
"content":[
{
"reader":{
"name":"postgresqlreader",
"parameter":{
"column":[
"\"id\"","\"name\"",
"\"content_type_id\"","\"codename\""
],
"connection":[
{
"jdbcUrl":["jdbc:postgresql://10.20.64.241:5433/finance"],
"table":["public.auth_permission"]
}
],
"password":"*************",
"splitPk":"","username":"authenticator"
}
},
"writer":{
"name":"mysqlwriter",
"parameter":{
"column":[
"`id`",
"`name`",
"`content_type_id`",
"`codename`"
],
"connection":[
{
"jdbcUrl":"jdbc:mysql://10.20.64.151:3306/datax_test",
"table":["auth_permission"]
}
],
"password":"***********",
"username":"root"
}
}
}
],
"setting":{
"errorLimit":{
"percentage":0.02,
"record":0
},
"speed":{
"byte":1048576,
"channel":3
}
}
}
2020-08-05 13:01:22.557 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2020-08-05 13:01:22.559 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2020-08-05 13:01:22.559 [main] INFO JobContainer - DataX jobContainer starts job.
2020-08-05 13:01:22.560 [main] INFO JobContainer - Set jobId = 0
2020-08-05 13:01:22.676 [job-0] INFO OriginalConfPretreatmentUtil - Available jdbcUrl:jdbc:postgresql://10.20.64.241:5433/finance.
2020-08-05 13:01:22.704 [job-0] INFO OriginalConfPretreatmentUtil - table:[public.auth_permission] has columns:[id,name,content_type_id,codename].
2020-08-05 13:01:22.917 [job-0] INFO OriginalConfPretreatmentUtil - table:[auth_permission] all columns:[id,name,content_type_id,codename].
2020-08-05 13:01:22.924 [job-0] INFO OriginalConfPretreatmentUtil - Write data [INSERT INTO %s (`id`,`name`,`content_type_id`,`codename`) VALUES(?,?,?,?)
], which jdbcUrl like:[jdbc:mysql://10.20.64.151:3306/datax_test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true]
2020-08-05 13:01:22.925 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2020-08-05 13:01:22.925 [job-0] INFO JobContainer - DataX Reader.Job [postgresqlreader] do prepare work .
2020-08-05 13:01:22.926 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do prepare work .
2020-08-05 13:01:22.926 [job-0] INFO JobContainer - jobContainer starts to do split ...
2020-08-05 13:01:22.927 [job-0] INFO JobContainer - Job set Max-Byte-Speed to 1048576 bytes.
2020-08-05 13:01:22.929 [job-0] INFO JobContainer - DataX Reader.Job [postgresqlreader] splits to [1] tasks.
2020-08-05 13:01:22.930 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] splits to [1] tasks.
2020-08-05 13:01:22.944 [job-0] INFO JobContainer - jobContainer starts to do schedule ...
2020-08-05 13:01:22.947 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups.
2020-08-05 13:01:22.948 [job-0] INFO JobContainer - Running by standalone Mode.
2020-08-05 13:01:22.955 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [1] channels for [1] tasks.
2020-08-05 13:01:22.958 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to -1, No bps activated.
2020-08-05 13:01:22.958 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated.
2020-08-05 13:01:22.964 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2020-08-05 13:01:22.967 [0-0-0-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select "id","name","content_type_id","codename" from public.auth_permission] jdbcUrl:[jdbc:postgresql://10.20.64.241:5433/finance].
2020-08-05 13:01:23.063 [0-0-0-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select "id","name","content_type_id","codename" from public.auth_permission] jdbcUrl:[jdbc:postgresql://10.20.64.241:5433/finance].
2020-08-05 13:01:23.365 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[402]ms
2020-08-05 13:01:23.366 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks.
2020-08-05 13:01:32.966 [job-0] INFO StandAloneJobContainerCommunicator - Total 24 records, 803 bytes | Speed 80B/s, 2 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2020-08-05 13:01:32.966 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2020-08-05 13:01:32.967 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do post work.
2020-08-05 13:01:32.967 [job-0] INFO JobContainer - DataX Reader.Job [postgresqlreader] do post work.
2020-08-05 13:01:32.967 [job-0] INFO JobContainer - DataX jobId [0] completed successfully.
2020-08-05 13:01:32.968 [job-0] INFO HookInvoker - No hook invoked, because base dir not exists or is a file: /home/dataX/datax/hook
2020-08-05 13:01:32.968 [job-0] INFO JobContainer -
[total cpu info] =>
averageCpu | maxDeltaCpu | minDeltaCpu
-1.00% | -1.00% | -1.00%
[total gc info] =>
NAME | totalGCCount | maxDeltaGCCount | minDeltaGCCount | totalGCTime | maxDeltaGCTime | minDeltaGCTime
PS MarkSweep | 0 | 0 | 0 | 0.000s | 0.000s | 0.000s
PS Scavenge | 0 | 0 | 0 | 0.000s | 0.000s | 0.000s
2020-08-05 13:01:32.969 [job-0] INFO JobContainer - PerfTrace not enable!
2020-08-05 13:01:32.969 [job-0] INFO StandAloneJobContainerCommunicator - Total 24 records, 803 bytes | Speed 80B/s, 2 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2020-08-05 13:01:32.969 [job-0] INFO JobContainer -
工作启动时刻 : 2020-08-05 13:01:22
工作完结时刻 : 2020-08-05 13:01:32
工作总计耗时 : 10s
工作均匀流量 : 80B/s
记录写入速度 : 2rec/s
读出记录总数 : 24
读写失败总数 : 0 DataX-Web 运行
编辑操作太麻烦？是否有如 ketter 一样提供图形界面生产配置文件，是否有工作对立治理？
DataX Web 是 DataX 的集成可视化页面零碎，抉择数据源即可一键生成数据同步工作，反对批量创 建 RDBMS 数据同步工作，集成开源调度零碎，反对分布式、增量同步数据、实时查看运行日志、监控执行器资源、KILL 运行过程等 相较于 kettle，DataX-Web 间接通过页面一键生成工作，实时查看运行状况，同步效率更快等劣势
（1）环境筹备
*
MySQL (5.5+) 必选，对应客户端能够选装, Linux 服务上若装置 mysql 的客户端能够通过部署脚本疾速初始化数据库
*
JDK (1.8.0_xxx) 必选
*
DataX 必选
*
Python (2.x) (反对 Python3 须要批改替换 datax/bin 上面的三个 python 文件，替换文件在 doc/datax-web/datax-python3 下) 必选，次要用于调度执行底层 DataX 的启动脚本，默认的形式是以 Java 子过程形式执行 DataX，用户能够抉择以 Python 形式来做自定义的革新（2）装置
1、源码编译 2、官网编译好的包。解压包后，进入解压后的目录，找到 bin 目录上面的 install.sh 文件，如果抉择交互式的装置，则间接执行./bin/install.sh留神点：
官网的数据库脚本装置的 job_info 表短少 user_id 字段，界面点击的时候会报错找不到 user_id 字段谬误，手动减少 user_id 字段，类型为 int，长度为 11。Alert（ALTER TABLE job_info ADD user_id int(11)；）具体参考教程：https://github.com/WeiYe-Jing…
安装包阐明
最初在浏览器输出 IP：port 就能够看到 DataX-Web 的页面了
DataX 和 kettle 比照
1）Kettle 领有本人的治理控制台，能够间接在客户端进行 etl 工作制订，不过是 CS 架构，而不反对 BS 浏览器模式。DataX 并没有界面（DataX-Web 曾经扩大，反对 BS）
2）反对的数据库，都反对的比拟齐全，kettle 反对的应该更多，DataX 是阿里开发，能够更好地反对阿里本身的数据库系列，如 ODPS、ADS 等
3）Kettle 曾经退出 BI 组织 Pentaho，退出后 kettle 的开发粒度和被关注度更进一步晋升
4）DataX 开源的反对粒度不高，关注度远没有 kettle 高，代码提交次数更是少的很。
5）依据网上参考信息，网友测试 kettle 全量抽取较大数据量时，抽取工夫长，比照测试 datax 比 kettle 快。
其余
- DataX 插件开源还撑持其余扩大，能够下载源码本人编译：
Datax 反对 ElasticSearch Reader（官网曾经撑持 Writer，但不反对 Reader）
Datax 反对增量 postgresql writeMode update
Datax 反对 Redis Writer
扩大源码下载地址：https://github.com/WeiYe-Jing… -
PostgreSql 没有反对增量配置，针对有批改的增量数据能够采纳将增量数据放在长期表中（与指标表同库），通过表比对将批改的数据删除再插入，新增数据直接插入
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