Exadata Database - PITR
Learn how to perform a point-in-time restore for your Exadata Database.
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- Container Database (CDB) Point-in-Time Restores
- From the OCI console, select Exadata VM Clusters that you are using.
- Select Exadata Database (CDB), and select the database that you are using.
- Select the More actions button, and then select the Restore.
- From the Restore page, select Restore to a timestamp as your Restore type.
- Specify your Restore date and Restore timestamp.
- Select the Restore button.
- Return to the Exadata Database (CDB) to view the State of your restore process.

Pluggable Database (PDB) Point-in-Time Restores
- From the OCI console, select Exadata VM Clusters that you are using.
- Select Exadata Database (PDB), and select the database that you are using.
- Select the More actions button, and then select the Restore.
- From the Restore page, select Restore to a timestamp as your Restore type.
- Specify your date and time.
- Select the Restore button.
- Return to the Exadata Database (PDB) to view the State of your restore process.

There is currently no content for this page. Oracle AI Database@Google Cloud team intends to add content here, and this placeholder text is provided until that text is added. The Oracle AI Database@Google Cloud team is excited about future new features, enhancements, and fixes to this product and this accompanying documentation. We strongly recommend you watch this page for those updates.
There is currently no content for this page. Oracle AI Database@Google Cloud team intends to add content here, and this placeholder text is provided until that text is added. The Oracle AI Database@Google Cloud team is excited about future new features, enhancements, and fixes to this product and this accompanying documentation. We strongly recommend you watch this page for those updates.
There is currently no content for this page. Oracle AI Database@Google Cloud team intends to add content here, and this placeholder text is provided until that text is added. The Oracle AI Database@Google Cloud team is excited about future new features, enhancements, and fixes to this product and this accompanying documentation. We strongly recommend you watch this page for those updates.