> For the complete documentation index, see [llms.txt](https://docs.expel.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.expel.io/more-features/expel-managed-phishing/setup-guides/enable-gmail-logs-in-bigquery.md).
# Enable Gmail Logs in BigQuery
{% hint style="warning" %}
Due to a change by Google, Workbench is no longer able to search for related emails across Google Workspace inboxes in bulk. We are actively working on a workaround and will update this guide as soon as possible. In the interim, please reach out to Google to request they reinstate the export functionality for emails from BiqQuery.
{% endhint %}
The following procedure guides you through enabling logs for Gmail in BigQuery to make the most use of Expel Managed Phishing. For example, you can then run an [Investigative Action](/workbench-reference/expel-terminology.md#investigative-action) that identifies recipients of malicious emails.
1. Sign in to the [Google Admin Console](https://admin.google.com/).
2. Navigate to **Apps > Google > Workspace > Gmail > Setup > Email Logs in BigQuery**.
3. Select the **Enable** checkbox and enter a **Description**, such as "Gmail logs".
4. Select the **project** to which the service account belongs.
5. Enter "gmail\_logs\_dataset" as the name for the new BigQuery dataset and select **SAVE**.
6. From the IAM console in the project where the service account was created, select the **pencil** icon, then search for and add the **BigQuery Job User** role to the service account.
7. Select **SAVE**.
8. Navigate to [BigQuery in the Google Cloud console](https://console.cloud.google.com/bigquery).
9. Find the `gmail_logs_dataset`, then open the menu on the right and select **Open**.
10. From the dataset details, select **EDIT DETAILS**.
11. Change the **Default maximum table age** to **30 days** (Expel's recommendation).
12. Select **SAVE**.
13. Select **SHARING > Permissions**.
14. Under **New principals**, add the service account.
15. Select the `BigQuery Data Viewer` role.
16. Select **SAVE** to close the panel.
---
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