Skip to content

Latest commit

 

History

History
305 lines (271 loc) · 6.62 KB

mysqlwriter.md

File metadata and controls

305 lines (271 loc) · 6.62 KB

MySQL Writer

一、插件名称

名称:mysqlwriter

二、支持的数据源版本

MySQL 5.X

三、参数说明

  • jdbcUrl

    • 描述:针对关系型数据库的jdbc连接字符串
    • 必选:是
    • 默认值:无
  • username

    • 描述:数据源的用户名
    • 必选:是
    • 默认值:无
  • password

    • 描述:数据源指定用户名的密码
    • 必选:是
    • 默认值:无
  • column

    • 描述:目的表需要写入数据的字段,字段之间用英文逗号分隔。例如: "column": ["id","name","age"]
    • 必选:是
    • 默认值:否
    • 默认值:无
  • preSql

    • 描述:写入数据到目的表前,会先执行这里的一组标准语句
    • 必选:否
    • 默认值:无
  • postSql

    • 描述:写入数据到目的表后,会执行这里的一组标准语句
    • 必选:否
    • 默认值:无
  • table

    • 描述:目的表的表名称。目前只支持配置单个表,后续会支持多表
    • 必选:是
    • 默认值:无
  • writeMode

    • 描述:控制写入数据到目标表采用 insert into 或者 replace into 或者 ON DUPLICATE KEY UPDATE 语句
    • 必选:是
    • 所有选项:insert/replace/update
    • 默认值:insert
  • batchSize

    • 描述:一次性批量提交的记录数大小,该值可以极大减少FlinkX与数据库的网络交互次数,并提升整体吞吐量。但是该值设置过大可能会造成FlinkX运行进程OOM情况
    • 必选:否
    • 默认值:1024
  • updateKey

    • 描述:当写入模式为update和replace时,需要指定此参数的值为唯一索引字段
    • 注意:
      • 如果此参数为空,并且写入模式为update和replace时,应用会自动获取数据库中的唯一索引;
      • 如果数据表没有唯一索引,但是写入模式配置为update和replace,应用会以insert的方式写入数据;
    • 必选:否
    • 默认值:无

四、配置示例

1、insert

{
  "job": {
    "content": [
      {
        "reader": {
          "name": "streamreader",
          "parameter": {
            "column": [
              {
                "name": "id",
                "type": "id"
              },
              {
                "name": "user_id",
                "type": "int"
              },
              {
                "name": "name",
                "type": "string"
              }
            ],
            "sliceRecordCount" : [ "100"]
          }
        },
        "writer": {
          "name": "mysqlwriter",
          "parameter": {
            "username": "dtstack",
            "password": "abc123",
            "connection": [
              {
                "jdbcUrl": "jdbc:mysql://kudu3:3306/tudou?useSSL=false",
                "table": ["kudu"]
              }
            ],
            "preSql": ["truncate table kudu;"],
            "postSql": ["update kudu set user_id = 1;"],
            "writeMode": "insert",
            "column": ["id","user_id","name"],
            "batchSize": 1024
          }
        }
      }
    ],
    "setting": {
      "speed": {
        "channel": 1,
        "bytes": 0
      },
      "errorLimit": {
        "record": 100
      },
      "restore": {
        "maxRowNumForCheckpoint": 0,
        "isRestore": false,
        "restoreColumnName": "",
        "restoreColumnIndex": 0
      },
      "log" : {
        "isLogger": false,
        "level" : "debug",
        "path" : "",
        "pattern":""
      }
    }
  }
}

2、update

{
  "job": {
    "content": [
      {
        "reader": {
          "name": "streamreader",
          "parameter": {
            "column": [
              {
                "name": "id",
                "type": "id"
              },
              {
                "name": "user_id",
                "type": "int"
              },
              {
                "name": "name",
                "type": "string"
              }
            ],
            "sliceRecordCount" : [ "100"]
          }
        },
        "writer": {
          "name": "mysqlwriter",
          "parameter": {
            "username": "dtstack",
            "password": "abc123",
            "connection": [
              {
                "jdbcUrl": "jdbc:mysql://kudu3:3306/tudou?useSSL=false",
                "table": ["kudu"]
              }
            ],
            "preSql": [],
            "postSql": [],
            "writeMode": "update",
            "updateKey": {"key": ["id"]},
            "column": ["id","user_id","name"],
            "batchSize": 1024
          }
        }
      }
    ],
    "setting": {
      "speed": {
        "channel": 1,
        "bytes": 0
      },
      "errorLimit": {
        "record": 1
      },
      "restore": {
        "maxRowNumForCheckpoint": 0,
        "isRestore": false,
        "restoreColumnName": "",
        "restoreColumnIndex": 0
      },
      "log" : {
        "isLogger": false,
        "level" : "debug",
        "path" : "",
        "pattern":""
      }
    }
  }
}

3、replace

{
  "job": {
    "content": [
      {
        "reader": {
          "name": "streamreader",
          "parameter": {
            "column": [
              {
                "name": "id",
                "type": "id"
              },
              {
                "name": "user_id",
                "type": "int"
              },
              {
                "name": "name",
                "type": "string"
              }
            ],
            "sliceRecordCount" : [ "100"]
          }
        },
        "writer": {
          "name": "mysqlwriter",
          "parameter": {
            "username": "dtstack",
            "password": "abc123",
            "connection": [
              {
                "jdbcUrl": "jdbc:mysql://kudu3:3306/tudou?useSSL=false",
                "table": ["kudu"]
              }
            ],
            "preSql": [],
            "postSql": [],
            "writeMode": "replace",
            "updateKey": {"key": ["id"]},
            "column": ["id","user_id","name"],
            "batchSize": 1024
          }
        }
      }
    ],
    "setting": {
      "speed": {
        "channel": 1,
        "bytes": 0
      },
      "errorLimit": {
        "record": 1
      },
      "restore": {
        "maxRowNumForCheckpoint": 0,
        "isRestore": false,
        "restoreColumnName": "",
        "restoreColumnIndex": 0
      },
      "log" : {
        "isLogger": false,
        "level" : "debug",
        "path" : "",
        "pattern":""
      }
    }
  }
}