---
title: Google BigQuery
---
# Google BigQuery

Svix can deliver webhooks directly to a Google BigQuery table, without your customers having to set up any listener endpoint or write any glue code.

When **Advanced Endpoint Types** is [enabled](/advanced-endpoints#enabling-advanced-endpoint-types), your customers will see the option to use a BigQuery destination in the [App Portal](/app-portal).

![BigQuery Endpoint Create](/img/advanced-endpoints/bigquery-create.png)

They will be able to configure the connection right in the App Portal:

- `projectId` — the GCP project that owns the dataset.
- `datasetId` — the BigQuery dataset that contains the table.
- `tableId` — the table that receives the rows.
- `credentials` — a Google Cloud service account credentials JSON object, provided as a string.

Every batch of webhooks received by the endpoint is inserted into the configured BigQuery table.

## Destination table

Without a transformation, Svix inserts each webhook into the table identified by `projectId`, `datasetId`, and `tableId` using two columns: `id` and `payload`. Svix generates a unique `id` for each row and writes the raw payload to `payload`.

The table must already exist before you enable the endpoint. For the default behavior, create it with:

```sql
CREATE TABLE `my-gcp-project.my_dataset.events` (
  id STRING,
  payload STRING
);
```

If you use a transformation (below), you control the columns each row contains, so your table can use any schema you like — as long as it matches the rows your transformation returns.

# Transformations

Each webhook is inserted into BigQuery as a row. A transformation returns the `rows` to insert, where each row is an object whose keys match your table's columns.

```JavaScript
/**
 * @param input - The input object
 * @param input.events - The array of webhooks in the batch. The number of webhooks in the batch is capped by the endpoint's batch size.
 * @param input.events[].payload - The message payload (string or JSON)
 * @param input.events[].eventType - The message event type (string)
 *
 * @returns Object describing the rows to insert.
 * @returns returns.rows - The array of rows to insert. Each row is an object whose keys match the columns of your BigQuery table.
 */
function handler(input) {
    const rows = input.events.map((event) => ({
        id: crypto.randomUUID(),
        payload: JSON.stringify(event.payload)
    }));

    return { rows };
}
```

`input.events` is the list of webhooks received by the endpoint, processed in batches.

Each entry in the returned `rows` array is inserted as a separate row. The object keys must match the column names of your table. To write different columns, adjust the objects in `rows` and your table schema to match.

For example, if the endpoint receives the following messages:

```json
{
  "eventType": "user.created",
  "payload": "{\"email\": \"joe@enterprise.io\"}"
}
```

```json
{
  "eventType": "user.login",
  "payload": "{\"id\": 12, \"timestamp\": \"2025-07-21T14:23:17.861Z\"}"
}
```

The transformation above inserts two rows into your table.

| `id` | `payload` |
| --- | --- |
| `1f0a8c1e-...` | `{"email":"joe@enterprise.io"}` |
| `4b9d2e7a-...` | `{"id":12,"timestamp":"2025-07-21T14:23:17.861Z"}` |