psycogreen | Integration of psycopg2 with coroutine libraries

by psycopg Python Version: 1.0.2 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | psycogreen Summary

psycogreen is a Python library. psycogreen has no bugs, it has no vulnerabilities, it has build file available and it has low support. However psycogreen has a Non-SPDX License. You can install using 'pip install psycogreen' or download it from GitHub, PyPI.

Integration of psycopg2 with coroutine libraries

Support

Quality

Security

License

Reuse

Support

psycogreen has a low active ecosystem.

It has 44 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of psycogreen is 1.0.2

Quality

psycogreen has 0 bugs and 0 code smells.

Security

psycogreen has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

psycogreen code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

psycogreen has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

psycogreen releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 151 lines of code, 9 functions and 7 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed psycogreen and discovered the below as its top functions. This is intended to give you an instant insight into psycogreen implemented functionality, and help decide if they suit your requirements.

Waits for an eventlet to finish .
Await callback for gevent .
Monkey - patch the psycopg2 .

Get all kandi verified functions for this library.

psycogreen Key Features

No Key Features are available at this moment for psycogreen.

psycogreen Examples and Code Snippets

No Code Snippets are available at this moment for psycogreen.

Community Discussions

Trending Discussions on psycogreen

Load-testing Asp.net Core SignalR using Locust

Slow performing postgresql commit statements

QUESTION

Load-testing Asp.net Core SignalR using Locust

Asked 2021-May-07 at 17:06

I would like to load-test a SignalR service using Locust. I found that the following library can send and receive SignalR requests: https://pypi.org/project/signalrcore/

Now, according to the Locust docs, the next step would be to write a custom client for Locust that can send SignalR requests. But there is the following warning:

Any protocol libraries that you use must be gevent-friendly (use the Python socket module or some other standard library function like subprocess), or your calls are likely to block the whole Locust/Python process.

Some C libraries cannot be monkey patched by gevent, but allow for other workarounds. For example, if you want to use psycopg2 to performance test PostgreSQL, you can use psycogreen

I am a beginner in Python so I don't understand exactly what it means. The library "signalrcore" I am using is 100% synchronous. Does it means I can't use it with Locust? I found an a fork of signalrcore that uses asyncio. Should I use that fork instead and just make sure all my signalr calls are non blocking?

Thanks!

...

ANSWER

Answered 2021-May-07 at 17:06

SignalRCore seems to use requests and websocket-client under the hood, both of which are gevent-friendly. I cant say for sure, but I’d give it 90% probability that it will work ”out of the box” :)

If you do use the asyncio one you’d need to do some magic yourself. At least I have never combined that with gevent.

Source https://stackoverflow.com/questions/67437961

QUESTION

Slow performing postgresql commit statements

Asked 2020-Feb-03 at 06:18

In a Django web app with a postgresql backend (and nginx reverse proxy with gunicorn application server), I'm seeing dozens of COMMIT messages in postgresql's slow log. Behold:

...

ANSWER

Answered 2020-Feb-02 at 14:13

There are two likely explanations for slow commits:

Overloaded storage. This can be caused by
- The high I/O volume.
- Lots of small transactions, where the WAL sync requests are just too many.
WITH HOLD cursors on larger queries.

On Linux, check the %iowait column in vmstat 1 to see if the I/O subsystem is overloaded.

About your measures:

Increasing max_connections or decreasing checkpoint_completion_target will have an adverse effect, if anything.
Increasing shared_buffers will help if the problem is the amount of read I/O.
If the problem are the many sync requests, and you can afford to lose a few committed transactions in the event of a crash, set synchronous_commit = off.

If that is not an option, you can play with commit_delay to get the I/O load down.

I have never heard of "gevent workers", so I cannot say anything about them.

Source https://stackoverflow.com/questions/60020180

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install psycogreen

You can install using 'pip install psycogreen' or download it from GitHub, PyPI.
You can use psycogreen like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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