dataX json配置
1.mysql2mysql的例子
{
"job":{
"content":[
{
"reader":{
"name":"mysqlreader",
"parameter":{
"column":[
"id",
"name"
],
"connection":[
{
"jdbcUrl":[
"jdbc:mysql://127.0.0.1:3306/dq"
],
"table":[
"table1"
]
}
],
"password":"123456",
"username":"root"
}
},
"writer":{
"name":"mysqlwriter",
"parameter":{
"column":[
"id",
"name"
],
"connection":[
{
"jdbcUrl":"jdbc:mysql://ip地址:端口/test",
"table":[
"table2"
]
}
],
"password":"123456",
"username":"root"
}
}
}
],
"setting":{
"speed":{
"channel":"1"
}
}
}
}
2.mysql到本地:
{
"job":{
"content":[
{
"reader":{
"name":"mysqlreader",
"parameter":{
"username":"root",
"password":"root",
"column":[
"ID",
"VISIT_IP"
],
"connection":[
{
"table":[
"visit_log"
],
"jdbcUrl":[
"jdbc:mysql://192.168.0.197:3306/qyyx_test"
]
}
]
}
},
"writer":{
"name":"streamwriter",
"parameter":{
"print":false,
"encoding":"UTF-8"
}
}
}
]
}
}
3.HDFS打印到本地控制台
{
"job":{
"setting":{
"speed":{
"channel":3
}
},
"content":[
{
"reader":{
"name":"hdfsreader",
"parameter":{
"path":"/user/hive/warehouse/test.db/nnn/*",
"defaultFS":"hdfs://192.168.200.45:8020",
"column":[
"*"
],
"fileType":"orc",
"encoding":"UTF-8",
"fieldDelimiter":","
}
},
"writer":{
"name":"streamwriter",
"parameter":{
"print":true
}
}
}
]
}
}
4.orcle打印到Linux
{
"job":{
"setting":{
"speed":{
"channel":5
}
},
"content":[
{
"reader":{
"name":"oraclereader",
"parameter":{
"username":"edw_src",
"password":"123456",
"where":"",
"connection":[
{
"querySql":[
"select * from ORDER_DETAIL_BAK"
],
"jdbcUrl":[
"jdbc:oracle:thin:@192.168.0.197:1521:orcl"
]
}
]
}
},
"writer":{
"name":"streamwriter",
"parameter":{
"visible":true,
"encoding":"UTF-8"
}
}
}
]
}
}
5.sqlserver to mysql
{
"job": {
"content": [
{
"reader": { //读入库配置,比如说是sql server
"name": "", //数据源名称,别瞎写
"parameter": {} //数据库配置信息
},
"writer": { //写入库配置,比如说是mysql
"name": "", //数据源名称,别瞎写
"parameter": {} //数据库配置信息
}
}
],
"setting": { //基本设置
"speed": { //流量控制
"channel": 1, //同步时候的并发数
"byte": 104857600 //同步时候的字节大小,影响速度
},
"errorLimit": { //脏数据控制
"record": 10, //脏数据最大记录数阈值
"percentage": 0.05 //脏数据占比阈值
}
}
}
}
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· AI与.NET技术实操系列:向量存储与相似性搜索在 .NET 中的实现
· 基于Microsoft.Extensions.AI核心库实现RAG应用
· Linux系列:如何用heaptrack跟踪.NET程序的非托管内存泄露
· 开发者必知的日志记录最佳实践
· SQL Server 2025 AI相关能力初探
· 震惊!C++程序真的从main开始吗?99%的程序员都答错了
· winform 绘制太阳,地球,月球 运作规律
· 【硬核科普】Trae如何「偷看」你的代码?零基础破解AI编程运行原理
· 上周热点回顾(3.3-3.9)
· 超详细:普通电脑也行Windows部署deepseek R1训练数据并当服务器共享给他人