QueryData

Calls a DataService Studio API to query data.

Operation description

Prerequisites

Create an API in DataService Studio before calling this operation.

Limits

Requires Quick BI Professional Edition.
API call timeout: 60s. QPS limit per API: 10.
Row-level permissions on the referenced dataset also apply to API calls.

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Test

RAM authorization

The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:

Action: The actions can be used in the Action element of RAM permission policy statements to grant permissions to perform the operation.
API: The API that you can call to perform the action.
Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.
Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.
- For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the Resource element of the policy.
- For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the Resource element of the policy.
Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.
Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.

Action

Access level

Resource type

Condition key

Dependent action

quickbi-public:QueryData

get

*All Resource

*

None

Request parameters

Parameter	Type	Required	Description	Example
ApiId	string	Yes	The API ID in DataService Studio.	f4cc43bc3***
UserId	string	No	The Quick BI user ID. Obtain this value from QueryUserInfoByAccount. Note Specifies the user identity for DataService Studio, used with row-level and column-level permission configurations. Important If omitted, empty, or null, defaults to the Quick BI organization owner's user ID.	b5d8fd9348cc4327****afb604
Conditions	string	No	Filter conditions as a JSON map string. Each key is a request parameter name, and each value is the parameter value. Note: If the operator of a request parameter is set to Enumeration Filter, the value can contain multiple values. In this case, the value must be in the format of a JSON list. For example: `area=["East China","North China","South China"]` For dates, use the following formats based on the date type: Year: 2019 Quarter: 2019Q1 Month: 201901 (with a leading zero) Week: 2019-52 Day: 20190101 Hour: 14:00:00 (minutes and seconds are 00) Minute: 14:12:00 (seconds are 00) Second: 14:34:34	{ "area": ["test", "test"], "shopping_date": "2019Q1", }
ReturnFields	string	No	A JSON array of field names to return.	["area", "city", "price", "date"]

Response elements

Element	Type	Description	Example
	object
Success	boolean	Whether the request succeeded. Valid values: true: The request was successful. false: The request failed.	true
RequestId	string	The request ID.	a4d1a221d-41za1-****
Result	object	The result of the API call. Valid values: true: The call was successful. false: The call failed.
Headers	array<object>	The column headers.
	object	Column headers.
Aggregator	string	The aggregate operator. Returned only for measure fields. SUM: The sum. MAX: The maximum value. MIN: The minimum value. AVG: The average value. COUNT: The count. COUNTD: The count of unique values. STDDEV_POP: The population standard deviation. STDDEV_SAMP: The sample standard deviation. VAR_POP: The population variance. VAR_SAMP: The sample variance.	SUM
Column	string	The physical table field name.	test
DataType	string	The field data type. Common types: number string date time datetime	string
Granularity	string	The dimension granularity. Returned only for date or geographic dimensions. Valid values: Date granularity: yearRegion (year), monthRegion (month), weekRegion (week), dayRegion (day), hourRegion (hour), minRegion (minute), secRegion (second) Geographic granularity: COUNTRY (country), PROVINCE (province), CITY (city), XIAN (county/district), REGION (region)	REGION
Label	string	The field alias. Used as the key in each Values map entry.	area
Type	string	Whether the field is a dimension or measure. Dimension Measure	Dimension
OriginalColumn	string	The original field name in the dataset.	area
Sql	string	The SQL statement for the query. Note The returned SQL includes both the filter conditions from this call and any row-level or column-level permission rules.	SELECT COMPANY_T_1_.`area` AS D_AREA_2_, COMPANY_T_1_.`city` AS D_CITY_3_, SUM(COMPANY_T_1_.`profit_amt`) AS D_PROFIT_4_ FROM `quickbi_test`.`company_sales_record_copy` AS COMPANY_T_1_ WHERE COMPANY_T_1_.`area` LIKE '%test%' GROUP BY COMPANY_T_1_.`area`, COMPANY_T_1_.`city` HAVING SUM(COMPANY_T_1_.`order_amt`) > 1 LIMIT 0, 10
Values	array<object>	The query results.
	object	The returned data rows. Each map represents one row, with keys corresponding to the `Headers#Label` field.	[{"area":"test","city":"test"},{"area":"test","city":"test"}]

Examples

Success response

JSON format

{
  "Success": true,
  "RequestId": "a4d1a221d-41za1-****",
  "Result": {
    "Headers": [
      {
        "Aggregator": "SUM",
        "Column": "test",
        "DataType": "string",
        "Granularity": "REGION",
        "Label": "area",
        "Type": "Dimension",
        "OriginalColumn": "area"
      }
    ],
    "Sql": "SELECT COMPANY_T_1_.`area` AS D_AREA_2_, COMPANY_T_1_.`city` AS D_CITY_3_, SUM(COMPANY_T_1_.`profit_amt`) AS D_PROFIT_4_ FROM `quickbi_test`.`company_sales_record_copy` AS COMPANY_T_1_ WHERE COMPANY_T_1_.`area` LIKE '%test%' GROUP BY COMPANY_T_1_.`area`, COMPANY_T_1_.`city` HAVING SUM(COMPANY_T_1_.`order_amt`) > 1 LIMIT 0, 10",
    "Values": [
      [
        {
          "area": "test",
          "city": "test"
        },
        {
          "area": "test",
          "city": "test"
        }
      ]
    ]
  }
}

Error codes

HTTP status code	Error code	Error message	Description
400	API.No.Permission	You are not authorized to call the data service API operation.	You are not authorized to call the data service API operation.
400	API.Not.Exist	The data service API operation does not exist.	The data service API operation does not exist.
400	Cube.Not.Exist	The Cube does not exist.	The Cube does not exist.
400	Invalid.Parameter.Conditions	The specified Conditions is invalid. %s is not defined.	The specified Conditions is invalid. %s is not defined.
400	Invalid.Parameter.ReturnFields	The specified returnFields is invalid. %s is not defined.	The specified returnFields is invalid. %s is not defined.
400	Missing.Conditions	The specified Conditions is invalid. You must specify %s.	The specified Conditions is invalid. You must specify %s.
400	Missing.Dimension.Measure	The dimension or measure %s does not exist in Cube.	The dimension or measure %s does not exist in Cube.
400	Rowlevel.Permission.Forbbiden	The request is denied by row level permission. The dataset is %s, %s %s.	Request forbidden by row level permission, dataset is %s, %s %s.
400	Datasource.Sql.ExecuteFailed	Failed to execute the SQL statement in the data source.
400	DataService.InputParam.Error	input parameter error: %s.	The parameters entered were incorrect: %s.

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.