> For the complete documentation index, see [llms.txt](https://docs.stackai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.stackai.com/integrations/catalog/bigquery.md).

# BigQuery

Connect to Google BigQuery to run SQL queries against your datasets and write rows to tables from your AI workflows.

### Connectors

Choose the connector that matches your authentication method. The options below use the names shown in StackAI.

| Connector | Authentication |
| --------- | -------------- |
| BigQuery  | Credentials    |

#### BigQuery

Connect to BigQuery to analyze and manage large volumes of data. Supports SQL queries and data operations across multiple clouds.

**Set up in BigQuery**

1. In Google Cloud, enable BigQuery for the project that will run the queries.
2. Create or select a service account. Grant permission to run BigQuery jobs in that project and access the required datasets.
3. Create a JSON key for the service account and retain the complete downloaded document for StackAI.

**Set up in StackAI**

1. Open **Settings → Connections**, add a connection, and select **BigQuery**.
2. Enter the credentials and connection details in the fields below.
3. Save the connection and check its connection status. Select this saved connection when configuring an action or feature that uses it.

**Connection fields**

| StackAI field    | Required | What to enter                                                                                                                                                                                                                     |
| ---------------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Project ID       | Yes      | The Google Cloud project ID where your BigQuery datasets are located.                                                                                                                                                             |
| Credentials JSON | Yes      | JSON key for a service account scoped to read-only BigQuery access. Grant only `roles/bigquery.dataViewer` on the target datasets and `roles/bigquery.jobUser` on the project — do NOT grant dataEditor/dataOwner or admin roles. |

**Provider documentation:** [Setup reference 1](https://cloud.google.com/iam/docs/creating-managing-service-account-keys), [Setup reference 2](https://cloud.google.com/bigquery/docs/authentication).

#### Verify the connection

Check that the connection is healthy. Then run a read operation against a resource the connected account can access. A successful connection check confirms authentication; it does not guarantee permission for every action.

If access is denied, check the credential or OAuth permissions, the selected account or environment, and access to the specific resource. Update expired credentials or reconnect after permissions change.

#### Detailed setup guides

* [Connect BigQuery](/integrations/catalog/bigquery/connect-bigquery.md)

## Use an action

1. Add the required **BigQuery** action to the workflow.
2. Select a connection when the action requests one.
3. Complete the required fields. Use the reference picker when a value comes from another workflow step.
4. Run the workflow and inspect the action’s output. Check the result before using it in a later step.

### Actions

#### Query BigQuery

Query a Google BigQuery database with a plain english query or a SQL query

**Inputs**

| Field   | Type   | Required | Description                                                                                 |
| ------- | ------ | -------- | ------------------------------------------------------------------------------------------- |
| Schema  | string | No       | Database schema with tables, columns, and types (BigQuery format).                          |
| Dataset | string | No       | The dataset to query. If not provided, the default dataset will be used.                    |
| Query   | string | Yes      | Enter your query in plain English or SQL format to execute against the database. Default: . |

**Outputs**

| Field     | Type    | Description                                          |
| --------- | ------- | ---------------------------------------------------- |
| Query     | string  | The SQL query that was executed.                     |
| Results   | string  | The results of the query.                            |
| Truncated | boolean | True if the result set was truncated by the row cap. |

#### Write to BigQuery

Write a row to a Google BigQuery table from JSON data

**Inputs**

| Field       | Type            | Required | Description                                                                                                                  |
| ----------- | --------------- | -------- | ---------------------------------------------------------------------------------------------------------------------------- |
| Table       | select (string) | Yes      | The BigQuery table to write data to. Options load from the selected connection.                                              |
| Data        | string          | Yes      | The JSON data to write as a row to BigQuery. Default: .                                                                      |
| Insert Mode | select (string) | No       | The mode for inserting data (INSERT or INSERT\_IGNORE). Available values: Insert, Insert and Ignore Errors. Default: INSERT. |

**Outputs**

| Field   | Type          | Description                                                |
| ------- | ------------- | ---------------------------------------------------------- |
| Success | boolean       | Whether the write operation was successful.                |
| Message | string        | Success or error message from the write operation.         |
| Errors  | string\_array | List of errors if any occurred during the write operation. |

### Important behavior

Actions that create, update, send, or delete data can change the connected service. Review their inputs before running them. A retry can repeat an operation; consider this when configuring retries for actions that change data.

The catalog lists the fields and capabilities available in the supplied provider definition. Availability can also depend on your deployment and organization’s Feature Access settings.


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