DataX 配置文件记录

最新推荐文章于 2024-02-15 20:53:17 发布

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最新推荐文章于 2024-02-15 20:53:17 发布

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文章标签： mysql sqlserver vm leetcode dst

本文链接：https://blog.youkuaiyun.com/zj735539703/article/details/115500602

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该内容描述了一个从SQL Server数据库到MySQL数据库的数据迁移过程，使用了特定的reader和writer配置，涉及数据转换和插入操作。主要涉及的技术包括SQL Server reader、MySQL writer、数据迁移、数据库连接和数据列选择。

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{
    "job": {
        "setting": {
            "speed": {
                "channel": 1
            }
        },
        "content": [
            {
                "reader": {
                    "name": "sqlserverreader",
                    "parameter": {
                        "username": "admin",
                        "password": "admin",
                        "column": [
                            "sn",
                            "isnull(inputer,0)",
                            "isnull(inpdate,convert(datetime, Getdate(),120) )"
                        ],
                        "where": "",
                        "connection": [
                            {
                                "jdbcUrl": [
                                    "jdbc:sqlserver://db.xxxx.com;databaseName=xxxx"
                                ],
                                "table": [
                                    "table1"
                                ]
                            }
                        ]
                    }
                },
                "writer": {
                    "name": "mysqlwriter",
                    "parameter": {
                        "writeMode": "insert",
                        "username": "admin",
                        "password": "admin",
                        "column": [
                            "id",
                            "contract_id",
                            "invoice_id"
                        ],
                        "connection": [
                            {
                                "jdbcUrl": "jdbc:mysql://xxxxxx/payment?serverTimezone=GMT%2B8&useUnicode=true&characterEncoding=utf8&useSSL=false",
                                "table": [
                                    "table2"
                                ]
                            }
                        ]
                    }
                }
            }
        ]
    }
}