Improve execution time on Model deserialization
还没有人认领这个 Issue。
评估
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 新手友好度
- 35/100
- Issue 类型
- 重构
- 描述清晰度
- 基本清楚
- 活跃度
- 停滞
- 技术栈
- python
- 领域
- api, performance
调研方向
首先跟踪 REST 响应之后 SDK 的模型反序列化过程，issue 将其确定为开销的主要来源。针对 me、users 和 domains 端点复现报告中的比较；当能够证明相对于直接 API 调用，执行时间有可测量的减少时，即视为完成。
由索引模型根据 Issue 内容生成。
描述
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.
- 主要语言
- Python
- 星标
- 630
- 派生
- 96
- 平均合并
- 15 小时 20 分钟
- 30 天内合并 PR
- 3
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microsoftgraph/msgraph-sdk-python 的其他 Issue
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status:waiting-for-triage type:bug
难度 1/5 1 小时以内 新手友好度 90/100
microsoftgraph/msgraph-sdk-python#1570 ·
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status:waiting-for-triage type:bug
难度 2/5 1-3 小时 新手友好度 75/100
microsoftgraph/msgraph-sdk-python#1563 ·
-
Needs: Attention :wave: type:bug
难度 2/5 1-3 小时 新手友好度 62/100
microsoftgraph/msgraph-sdk-python#1287 · 2 条评论 · 1 个 reaction ·
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status:waiting-for-triage type:bug
难度 3/5 1-2 天 新手友好度 52/100
microsoftgraph/msgraph-sdk-python#1578 ·
-
status:waiting-for-triage
难度 5/5 一周以上 新手友好度 25/100
microsoftgraph/msgraph-sdk-python#1557 ·
查看 microsoftgraph/msgraph-sdk-python 的全部 Issue
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