---
title: 'Bulk Update'
description: 'Update multiple records in a table at once'
tags: ['Extensions', 'Bulk Update', 'Update', 'Data', 'Records']
keywords: ['Bulk Update', 'Update multiple records', 'Update data', 'Update records']
---
## Overview
The Bulk Update extension in NocoDB allows you to update multiple records in a view simultaneously. This feature is particularly useful when you need to make the same change across multiple records, saving you time and effort.
## Updating Records
Follow these steps to update multiple records in a table:
1. Select the table and associated view you wish to update.
2. Click the **New Action** button.
3. Choose the **Field** you want to update.
4. Select an **Update Type** :
- **Set Value**: Set a specific value for the field.
- **Clear Value**: Clear the field value.
5. If you selected **Set Value** , provide the **Value** to be applied.
6. Click the **Update Records** button to apply the changes.
7. A confirmation dialog will display the number of fields and records to be updated. Review the details and click **Confirm Update** to proceed.
You can add multiple actions to update different fields in the table.
## Managing Actions
The actions added are listed in the **Actions** section. You can:
- **Edit** an action by clicking on the action item in the list & making the necessary changes.
- **Delete** an action by clicking on the delete icon next to the action item.
- **Disable** an action by toggling the switch next to the action item. Disabling an action will prevent it from being applied to the records.
:::warning
- Bulk updates are irreversible. Ensure you review the changes before confirming the update.
:::
:::info
- Bulk updates are applied to all records in the view, including those not visible on the current page.
- Bulk updates are specific to the view and are not applied to the entire table.
:::
For any configured bulk update extension, you can reuse the **Update Records** button to repeat the batch update process. This is particularly useful when you need to apply the same changes across multiple records in the future.
