microsoftgraph / microsoftgraph/msgraph-sdk-python

Improve execution time on Model deserialization

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enhancement
Dominant language
Python
Stars
630
Forks
96
Avg merge
15h 20m
Merged PRs (30d)
3

Description

So I tried to migrate our usage of raw API calls to Microsoft Graph to your new release 1.1.0.
And I measured execution time with the bare-bones method time.time() before method call, time.time() after method call.

I've tried performing get requests for the endpoints: me, users, domains.

The results were that the sdk is on average 3.5 times slower than the raw call to API which I think a great deal.

Furthermore, I was curios where this overhead came from and I searched through the code with debug.
And the most time spent in execution is after the call to the rest api, when the sdk is building a model by deserializing the json object got from the request in a sdk specific object.

This execution time difference lead me to decide that I should postpone the migration until this is improved or fixed.

Contributor guide

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First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by tracing the SDK's model deserialization after the REST response, which the issue identifies as the main source of overhead. Reproduce the reported comparison for the me, users, and domains endpoints; done means demonstrating a measurable reduction in execution time against raw API calls.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
api, performance
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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