Bigquery.datasets.delete

Deletes the dataset specified by the datasetId value. Before you can delete a dataset, you must delete all its tables, either manually or by specifying deleteContents. Immediately after deletion, you can create another dataset with the same name.

DELETE/projects/{projectId}/datasets/{datasetId}

Use it in a workflow

Add a step and choose the BigQuery connector.
Pick the Bigquery.datasets.delete action (under datasets).
Fill in the fields below, then reference the result from later steps as {{bigqueryDatasetsDelete.response.data}}.

Request

Path parameters

projectIdstringrequired

Project ID of the dataset being deleted

datasetIdstringrequired

Dataset ID of dataset being deleted

Query parameters

altstring

Data format for the response.

One ofjson

fieldsstring

Selector specifying which fields to include in a partial response.

keystring

API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.

oauth_tokenstring

OAuth 2.0 token for the current user.

prettyPrintboolean

Returns response with indentations and line breaks.

quotaUserstring

An opaque string that represents a user for quota purposes. Must not exceed 40 characters.

userIpstring

Deprecated. Please use quotaUser instead.

deleteContentsboolean

If True, delete all the tables in the dataset. If False and the dataset contains tables, the request will fail. Default is False

Response

Returns 200 with a any. Read it in later steps with {{bigqueryDatasetsDelete.response.data.<field>}}.

Need more? See the BigQuery guide for connection setup and behaviour shared by every action.

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