Yunqi (ClickZetta / Singdata Lakehouse) · Schema

RuleTaskQueryRequest

CompanyDataLakehouseAnalyticsSQLCloudData EngineeringArtificial IntelligenceApache IcebergDatabase

Properties

Name	Type	Description
ruleId	integer
level	integer	0=non-blocking, 1=blocking
triggerType	stringnull	规则触发方式枚举说明： - `TEST`: 手动触发，仅测试，不发送告警 - `TEST_ALERT`: 手动触发，测试并发送告警 - `REST`: 通过 REST 接口手动触发 - `SCHEDULE_TASK`: 由调度器定时触发 - `PLAN`: 由执行计划触发
datasourceType	string	数据源类型枚举说明： - `LakeHouse`: Clickzetta Lakehouse - `Databricks`: Databricks
objectName	string
objectType	string	DQC 规则作用的对象类型枚举说明： - `TABLE`: 表 - `PIPE`: pipe - `VIEW`: view - `VOLUME`: Volume - `DYNAMIC_TABLE`: Dynamic Table - `TABLE_STREAM`: Table Stream - `MATERIALIZED_VIEW`: materialized View
fuzzyObjectName	string
tagCode	string	DQC 规则标签类型（type=0 表级，type=1 字段级）枚举说明： - `defined_sql`: 表级 (type=0) - `table_count`: 表级 (type=0) - `avg`: 字段级 (type=1) - `count`: 字段级 (type=1) - `null_count`: 字段级 (type=1) - `max`: 字段级 (type=1) - `min
owner	integer
status	string	RUNNING, FAILED, TIMEOUT, CANCEL, SUCCESS
env	string
pageNum	integer
pageSize	integer
instanceName	string
workspaceName	string
startTime	string
endTime	string

View JSON Schema on GitHub

JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/yunqi/json-schema/yunqi-rule-task-query-request-schema.json",
  "title": "RuleTaskQueryRequest",
  "x-generated": "2026-11-06",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/yunqi-dqc-api-openapi.yml#/components/schemas/RuleTaskQueryRequest",
  "type": "object",
  "properties": {
    "ruleId": {
      "type": "integer",
      "format": "int64"
    },
    "level": {
      "type": "integer",
      "format": "int32",
      "description": "0=non-blocking, 1=blocking"
    },
    "triggerType": {
      "type": [
        "string",
        "null"
      ],
      "title": "TriggerEnum",
      "description": "规则触发方式\n\n枚举说明：\n- `TEST`: 手动触发，仅测试，不发送告警\n- `TEST_ALERT`: 手动触发，测试并发送告警\n- `REST`: 通过 REST 接口手动触发\n- `SCHEDULE_TASK`: 由调度器定时触发\n- `PLAN`: 由执行计划触发",
      "enum": [
        "TEST",
        "TEST_ALERT",
        "REST",
        "SCHEDULE_TASK",
        "PLAN",
        null
      ]
    },
    "datasourceType": {
      "type": "string",
      "title": "DatasourceEnum",
      "description": "数据源类型\n\n枚举说明：\n- `LakeHouse`: Clickzetta Lakehouse\n- `Databricks`: Databricks",
      "enum": [
        "LakeHouse",
        "Databricks"
      ]
    },
    "objectName": {
      "type": "string"
    },
    "objectType": {
      "type": "string",
      "title": "ObjectTypeEnum",
      "description": "DQC 规则作用的对象类型\n\n枚举说明：\n- `TABLE`: 表\n- `PIPE`: pipe\n- `VIEW`: view\n- `VOLUME`: Volume\n- `DYNAMIC_TABLE`: Dynamic Table\n- `TABLE_STREAM`: Table Stream\n- `MATERIALIZED_VIEW`: materialized View",
      "enum": [
        "TABLE",
        "PIPE",
        "VIEW",
        "VOLUME",
        "DYNAMIC_TABLE",
        "TABLE_STREAM",
        "MATERIALIZED_VIEW"
      ]
    },
    "fuzzyObjectName": {
      "type": "string"
    },
    "tagCode": {
      "type": "string",
      "title": "TagEnum",
      "description": "DQC 规则标签类型（type=0 表级，type=1 字段级）\n\n枚举说明：\n- `defined_sql`: 表级 (type=0)\n- `table_count`: 表级 (type=0)\n- `avg`: 字段级 (type=1)\n- `count`: 字段级 (type=1)\n- `null_count`: 字段级 (type=1)\n- `max`: 字段级 (type=1)\n- `min`: 字段级 (type=1)\n- `sum`: 字段级 (type=1)\n- `count_distinct`: 字段级 (type=1)\n- `count_repetition`: 字段级 (type=1)\n- `pipe_kafka_latency`: 表级 (type=0)\n- `table_stream_kafka_latency`: 表级 (type=0)\n- `volume_file_count`: 表级 (type=0)",
      "enum": [
        "defined_sql",
        "table_count",
        "avg",
        "count",
        "null_count",
        "max",
        "min",
        "sum",
        "count_distinct",
        "count_repetition",
        "pipe_kafka_latency",
        "table_stream_kafka_latency",
        "volume_file_count"
      ]
    },
    "owner": {
      "type": "integer",
      "format": "int64"
    },
    "status": {
      "type": "string",
      "description": "RUNNING, FAILED, TIMEOUT, CANCEL, SUCCESS"
    },
    "env": {
      "type": "string"
    },
    "pageNum": {
      "type": "integer"
    },
    "pageSize": {
      "type": "integer"
    },
    "instanceName": {
      "type": "string"
    },
    "workspaceName": {
      "type": "string"
    },
    "startTime": {
      "type": "string",
      "format": "date-time"
    },
    "endTime": {
      "type": "string",
      "format": "date-time"
    }
  },
  "required": [
    "pageNum",
    "pageSize"
  ]
}

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