Hence name: WEB Quick RESPonse.
Install:
sudo apt-get install --yes gcc libevent-dev python-dev python-pip sudo pip install webqresp
Usage:
webqresp http://example.com/
webqresp --repeat=3 --start=5 --response-seconds=0.5 --header='X-Name: Value' --content='{"name": "value"}' --method=POST http://example.com/some/page
--repeat - Number of times to repeat the test, showing aggregated stats in the end. Default: 1.
--start - Number of concurrent requests to start with. Default: 1.
--response-seconds - Maximal response time in seconds for each request to pass the test. Default: 1.
--header - Additional headers, e.g. --header='Content-Type: application/json' --header='X-Name: Value'.
--content - Content for POST, etc. E.g. 'name1=value1&name2=value2' or '{"name1": "value1", "name2": "value2"}'.
--method - HTTP Method. Default: GET.
url - URL to test, e.g. http://example.com/some/page.
Criterion:
Maximal number of concurrent requests to the slowest URL while each request gets successful response within a second.
Why:
Popular criterion Requests Per Second (RPS, req/s) has a great flaw of being confusing when comparing measurement before and after optimization. Please see explanation.
- Another criterion - Milliseconds Per Request (ms/req) calculated as 1000/(req/s) as proposed in the article above also has flaws:
- It shows real response duration experienced by a user only when requests are sent sequentially, not concurrently:
Let’s take 100,000 requests and send them to a server in a sequence, waiting for each response before sending the next request. If server processes all this in 10 seconds, it is giving 10,000 req/s, and each request gets response in 0.1 ms - great!
Now let’s send 100,000 requests at the same time, not waiting for responses. If server processes all this in 10 seconds, it is giving the same 10,000 req/s, however while this criterion still shows false 0.1 ms, each request may get response in up to 10 seconds - that is not acceptable.
- It still keeps proportion ambiguity:
Let’s take 10,000 req/s == 0.1 ms/req == 10,000 concurrent requests with 1 second for each response - this is acceptable.
The same 10,000 req/s == 0.1 ms/req == 100,000 requests with 10 seconds for each response - this is not acceptable.
- Our criterion is constructed so that:
It cares about real response duration for each user in the worst concurrent case.
It is not a proportion. It is not ambiguous. Once 1 second is reached or failure occurs, it stops incrementing concurrent requests and returns the result.
Single slowest URL is chosen to save time configuring the tool, because anyway “A chain is only as strong as its weakest link”.
Metadata
Release files for webqresp 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| webqresp-0.1.1.tar.gz | 3.5 kB | Without provenance | Details for webqresp-0.1.1.tar.gz |
Release files / webqresp-0.1.1.tar.gz
| Download URL | webqresp-0.1.1.tar.gz |
|---|---|
| Size | 3.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9d7aa28badadc90dfc69853a984140f51022320b173530c382e0aa7615aaf683
|
|
BLAKE2b-256 checksum How to use checksums |
afa8930b5ce46136c59ecd2a87ce917f364bdcb853e622bfd5b5b97f0ded9054
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for webqresp 0.1.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.