perf: optimization of request instantiation
- Reuse fetch optimization logic in core.
- Avoid lowercasing.
Codecov Report
Attention: Patch coverage is 98.21429% with 1 lines in your changes are missing coverage. Please review.
Project coverage is 94.16%. Comparing base (
ad9b5bd) to head (4cf7be2).
| Files | Patch % | Lines |
|---|---|---|
| lib/web/fetch/util.js | 50.00% | 1 Missing :warning: |
Additional details and impacted files
@@ Coverage Diff @@
## main #3107 +/- ##
==========================================
- Coverage 94.17% 94.16% -0.02%
==========================================
Files 90 90
Lines 24320 24320
==========================================
- Hits 22904 22901 -3
- Misses 1416 1419 +3
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Is there a reason to combine method validation and normalization into a single method?
The reason for wanting to normalize and verify at the same time is that the case used in the verification can be reused.
This instantly breaks the second we need one and not the other.
Yes, it is. The function was not changed, but a new one was created.
Can you share the bench results?
import Request from "../../lib/core/request.js";
import DecoratorHandler from "../../lib/handler/decorator-handler.js";
import { bench, group, run } from 'mitata'
const handler = new DecoratorHandler({})
bench('new Request()', () => {
return new Request('https://localhost', { path: "/", method: "get", body: null }, handler);
})
await run()
- main
benchmark time (avg) (min … max) p75 p99 p999
----------------------------------------------------- -----------------------------
new Request() 114 ns/iter (89.75 ns … 2'124 ns) 124 ns 256 ns 1'619 ns```
- this patch
benchmark time (avg) (min … max) p75 p99 p999
----------------------------------------------------- -----------------------------
new Request() 90.41 ns/iter (70.85 ns … 1'729 ns) 106 ns 205 ns 717 ns
Thank you for the benchmark. Can you add it to the benchmark folder please?
This is just a comment from someone who doesn't know how this repo works, so feel free to ignore it:
I see optimization, and I just want to say that I found Map() to be more performant than plain objects. It could be a slight performance improvement to have normalizedMethodRecordsBase as Map() instead of a plain object.