DataWorks MCP Server

Official

ListDIJobs

Retrieve and manage a list of data integration job configurations on DataWorks MCP Server. Filter by source and destination data types, migration types, and export task names for efficient resource management.

Instructions

获取数据集成同步任务配置列表

Input Schema

NameRequiredDescriptionDefault
DestinationDataSourceTypeNo目标端数据源类型,不填代表不限制,枚举值:Hologres,OSS-HDFS,OSS,MaxCompute,LogHub,StarRocks,DataHub,AnalyticDB_For_MySQL,Kafka,Hive
MigrationTypeNo同步类型,可选的枚举值有:- FullAndRealtimeIncremental(全量和实时增量)- RealtimeIncremental(实时增量)- Full(全量)- OfflineIncremental(离线增量)- FullAndOfflineIncremental(全量+离线增量)
NameNo导出任务的名称。名称必须唯一,即当前DataWorks工作空间中不能存在名称重复的导出任务
PageNumberNo页码,从1开始,默认值为1
PageSizeNo每页显示的数据条数,默认为10条,最大为100条
ProjectIdNo工作空间的ID
SourceDataSourceTypeNo源端数据源类型,不填代表不限制,枚举值:PolarDB,MySQL,Kafka,LogHub,Hologres,Oracle,OceanBase,MongoDB,RedShift,Hive,SQLServer,Doris,ClickHouse

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "DestinationDataSourceType": { "description": "目标端数据源类型,不填代表不限制,枚举值:Hologres,OSS-HDFS,OSS,MaxCompute,LogHub,StarRocks,DataHub,AnalyticDB_For_MySQL,Kafka,Hive", "type": "string" }, "MigrationType": { "description": "同步类型,可选的枚举值有:- FullAndRealtimeIncremental(全量和实时增量)- RealtimeIncremental(实时增量)- Full(全量)- OfflineIncremental(离线增量)- FullAndOfflineIncremental(全量+离线增量)", "type": "string" }, "Name": { "description": "导出任务的名称。名称必须唯一,即当前DataWorks工作空间中不能存在名称重复的导出任务", "type": "string" }, "PageNumber": { "description": "页码,从1开始,默认值为1" }, "PageSize": { "description": "每页显示的数据条数,默认为10条,最大为100条" }, "ProjectId": { "description": "工作空间的ID" }, "SourceDataSourceType": { "description": "源端数据源类型,不填代表不限制,枚举值:PolarDB,MySQL,Kafka,LogHub,Hologres,Oracle,OceanBase,MongoDB,RedShift,Hive,SQLServer,Doris,ClickHouse", "type": "string" } }, "type": "object" }

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