通过 Aident Loadout 使用 Google BigQuery Tools 的 Googlebigquery Create Dataset。执行前查看输入、输出、设置、价格和风险。
Tool to create a new BigQuery dataset with explicit location, labels, and description using the BigQuery Datasets API. Use when the workflow needs to set up a staging/warehouse dataset and correctness of region is critical to avoid downstream job location mismatches. Surfaces 40…
accessarrayAccess control list (ACL) for the dataset. If not specified, the dataset inherits project-level permissions.
labelsobjectLabels to organize and categorize the dataset. Labels are key-value pairs. Keys and values must be lowercase, max 63 characters.
location必填stringGeographic location where the dataset should reside. This is CRITICAL to avoid location-related query/job errors. Examples: 'US', 'EU', 'us-central1', 'europe-west1'.
dataset_id必填stringThe dataset ID. Must be unique within the project. Use alphanumeric characters, underscores, or hyphens.
project_id必填stringThe project ID where the dataset will be created. This is used in the URL path, not in the request body.
descriptionstringA description of the dataset. Use this to document the dataset's purpose and contents.
friendly_namestringA user-friendly name for the dataset. This is a descriptive label that appears in the BigQuery UI.
defaultTableExpirationMsintegerDefault lifetime of all tables in the dataset, in milliseconds. Tables will be deleted this many milliseconds after creation unless explicitly set otherwise.
defaultPartitionExpirationMsintegerDefault lifetime of all partitions in tables in the dataset, in milliseconds. Partitions will be deleted this many milliseconds after creation.
data必填Data from the action execution
errorstringError if any occurred during the execution of the action
successful必填booleanWhether or not the action execution was successful or not
OAuth 连接。风险等级 2/5。
免费操作
目前没有已发布技能明确引用此操作。