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DataWorks:GetTable

Last Updated:Jul 01, 2026

Retrieves the details of a specified data table in DataWorks Data Map. You can specify whether to return business metadata.

Operation description

  1. You must purchase DataWorks Basic Edition or a higher edition to use this feature.

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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

dataworks:GetTable

get

*All Resource

*

None None

Request parameters

Parameter

Type

Required

Description

Example

Id

string

Yes

The ID. You can obtain this value from the response of the ListTables operation. For more information, see Metadata entity concepts.

The format is ${EntityType}:${InstanceID or encoded URL}:${DataCatalogIdentifier}:${DatabaseName}:${SchemaName}:${TableName}. Use an empty string as a placeholder for levels that do not exist.

Note

For MaxCompute and DLF types, use an empty string as a placeholder for the instance ID.

Note

For StarRocks, the data catalog identifier is the catalog name. For DLF, the data catalog identifier is the catalog ID. Other types do not support the catalog level. Use an empty string as a placeholder.

Note

For MaxCompute, the database name is the MaxCompute project name. Projects with the three-layer model enabled require a schema name. For projects without the three-layer model enabled, use an empty string as a placeholder for the schema name.

The following examples show the ID formats for common types:

maxcompute-table:::project_name:[schema_name]:table_name

dlf-table::catalog_id:database_name::table_name

hms-table:instance_id::database_name::table_name

holo-table:instance_id::database_name:schema_name:table_name

mysql-table:(instance_id|encoded_jdbc_url)::database_name::table_name

Note

Where
instance_id: The instance ID. This is required when the data source is registered in instance mode.
encoded_jdbc_url: The URL-encoded JDBC connection string. This is required when the data source is registered using a connection string.
catalog_id: The DLF catalog ID.
project_name: The MaxCompute project name.
database_name: The database name.
schema_name: The schema name. For MaxCompute, this is required only when the three-layer model is enabled for the project. Use an empty string as a placeholder if the three-layer model is not enabled.
table_name: The table name.

maxcompute-table:::project_name:[schema_name]:table_name

IncludeBusinessMetadata

boolean

No

Specifies whether to include business metadata. Default value: false.

true

Response elements

Element

Type

Description

Example

object

The response.

RequestId

string

The request ID.

7B3435F4-2D91-XXX

Success

boolean

Indicates whether the request was successful.

true

Table Table

The details of the data table.

Examples

Success response

JSON format

{
  "RequestId": "7B3435F4-2D91-XXX",
  "Success": true,
  "Table": {
    "Id": "dlf-table::catalog_id:database_name::table_name",
    "Name": "table_name",
    "Comment": "测试表",
    "TableType": "TABLE",
    "PartitionKeys": [
      "ds"
    ],
    "ParentMetaEntityId": "dlf-database::catalog_id:database_name",
    "CreateTime": 1736852168000,
    "ModifyTime": 1736852168000,
    "TechnicalMetadata": {
      "Owner": "test_user",
      "Location": "oss://test-bucket/test_tbl",
      "Compressed": false,
      "InputFormat": "org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat",
      "OutputFormat": "org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat",
      "SerializationLibrary": "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe",
      "Parameters": {
        "key": "value"
      }
    },
    "BusinessMetadata": {
      "Readme": "## 使用说明",
      "CustomAttributes": {
        "key": [
          "张三"
        ]
      },
      "Tags": [
        {
          "Key": "tag_key",
          "Value": "tag_value"
        }
      ],
      "Categories": [
        [
          {
            "Id": "CATEGORY.456",
            "Name": "测试类目",
            "ParentId": "CATEGORY.123"
          }
        ]
      ],
      "UpstreamTasks": [
        {
          "Id": 123456,
          "Name": "test_task"
        }
      ],
      "Extension": {
        "ProjectId": 234,
        "EnvType": "Dev",
        "ViewCount": 0,
        "ReadCount": 0,
        "FavorCount": 0
      }
    },
    "StatisticsInfos": {
      "key": ""
    }
  }
}

Error codes

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.