Hi Dale Stewart,
When working with APIs, especially those involving large datasets or complex operations, it’s common to encounter timeouts. For instance, opening a large workbook can take an indeterminate amount of time, leading to potential timeouts. To address this, Microsoft Graph provides a long-running operation pattern, which helps manage these extended processes without hitting timeout limits.
Long-Running Operation Pattern
The session creation Excel API in Microsoft Graph supports the long-running operation pattern. Here’s how you can implement it:
- Add the
Prefer: respond-async
Header:- When creating a session, include the
Prefer: respond-async
header in your request. This indicates that the operation is long running.
- When creating a session, include the
- Receive a 202 Accepted Response:
- For long-running operations, the API returns a
202 Accepted
response along with aLocation
header. This header provides a URL to check the status of the operation. - If the session creation completes quickly, you’ll receive a regular create session response instead.
- For long-running operations, the API returns a
- Check Operation Status:
- Use the URL provided in the
Location
header to retrieve the operation status. The status values can benotStarted
,running
,succeeded
, orfailed
.
- Use the URL provided in the
- Retrieve the Result:
- Once the operation completes, you can get the session creation result through the specified URL in the
succeeded
response.
- Once the operation completes, you can get the session creation result through the specified URL in the
Error Handling
As mentioned in official document occasionally, you might receive a 504 Gateway Timeout
error. The recommended approach is to retry the request. Here’s a brief overview of the error handling process:
- Retry Logic: Implement a retry mechanism to handle transient errors like
504 Gateway Timeout
. This involves catching the error and retrying the request after a short delay.
For more detailed guidance, refer to the official documentation:
By following these best practices, you can effectively manage long-running operations and handle potential timeouts gracefully.
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