aiomultiprocess | Take a modern Python codebase to the next level of performance | Reactive Programming library

by omnilib Python Version: 0.9.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | aiomultiprocess Summary

aiomultiprocess is a Python library typically used in Programming Style, Reactive Programming applications. aiomultiprocess has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However aiomultiprocess build file is not available. You can install using 'pip install aiomultiprocess' or download it from GitHub, PyPI.

Take a modern Python codebase to the next level of performance. [code style] On their own, AsyncIO and multiprocessing are useful, but limited: AsyncIO still can’t exceed the speed of GIL, and multiprocessing only works on one task at a time. But together, they can fully realize their true potential. aiomultiprocess presents a simple interface, while running a full AsyncIO event loop on each child process, enabling levels of concurrency never before seen in a Python application. Each child process can execute multiple coroutines at once, limited only by the workload and number of cores available.

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Quality

Security

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Support

aiomultiprocess has a medium active ecosystem.

It has 1568 star(s) with 94 fork(s). There are 29 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 27 open issues and 37 have been closed. On average issues are closed in 96 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of aiomultiprocess is 0.9.1

Quality

aiomultiprocess has 0 bugs and 0 code smells.

Security

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

aiomultiprocess code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

aiomultiprocess is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Deployable package is available in PyPI.

aiomultiprocess has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

It has 1005 lines of code, 109 functions and 17 files.

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

Top functions reviewed by kandi - BETA

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

Run the pool .
The main loop .
Sets the start method .
Schedule a task .
Wait for the process to finish .
Runs the process asynchronously .
Set the start method for the current context .
Get the multiprocessing manager .
Initialize the queue .
Get the global context .

Get all kandi verified functions for this library.

aiomultiprocess Key Features

No Key Features are available at this moment for aiomultiprocess.

aiomultiprocess Examples and Code Snippets

No Code Snippets are available at this moment for aiomultiprocess.

Community Discussions

Trending Discussions on aiomultiprocess

How to combine multiprocessing with asyncio

Downloading & extracting in parallel, maximizing performance?

How to use aiomultiprocess?

Mulitprocess management in Python with aiomultiprocess

QUESTION

How to combine multiprocessing with asyncio

Asked 2021-Jun-02 at 19:38

I have url checker code to check its response 200 or not but I want make it asynchronous along with multiprocessing but i stuck in the code plz help me build the code.

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ANSWER

Answered 2021-Jun-02 at 19:38

The easiest way would be to use Pool.starmap():

Source https://stackoverflow.com/questions/67482487

QUESTION

Downloading & extracting in parallel, maximizing performance?

Asked 2021-May-11 at 07:53

I want to download and extract 100 tar.gz files that are each 1GB in size. Currently, I've sped it up with multithreading and by avoiding disk IO via in-memory byte streams, but can anyone show me how to make this faster (just for curiosity's sake)?

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ANSWER

Answered 2021-May-11 at 07:53

Your computation is likely IO bound. Compression is generally a slow task, especially the gzip algorithm (new algorithms can be much faster). From the provided information, the average reading speed is about 70 Mo/s. This means that the storage throughput is at least roughly 140 Mo/s. It looks like totally normal and expected. This is especially true if you use a HDD or a slow SSD.

Besides this, it seems you iterate over the files twice due to the selection of members. Keep in mind that tar gz files are a big block of files packed together and then compressed with gzip. To iterate over the filenames the tar file need to be already partially decompressed. This may not be a problem regarding the implementation of tarfile (possible caching). If the size of all the discarded files is small, it may be better to simply decompress the whole archive in a raw and then remove the files to discard. Moreover, if you have a lot a memory and the size of all discarded files is not small, you can decompress the files in an in-memory virtual storage device first in order to write the discarded files. This can be natively done on Linux systems.

Source https://stackoverflow.com/questions/67478659

QUESTION

How to use aiomultiprocess?

Asked 2020-Oct-19 at 16:30

I found this package aiomultiprocess that seems like it can do both multiprocessing and asyncio.

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ANSWER

Answered 2020-Oct-19 at 16:30

The aiomultiprocess documentation example does not cover how to call the loop. The function needs to be called via asyncio.

Source https://stackoverflow.com/questions/64429359

QUESTION

Mulitprocess management in Python with aiomultiprocess

Asked 2020-Jul-10 at 14:43

I have a problem with the multiprocessing in Python. I need to create async processes, which run a undefined time and the number of processes is also undefined. As soon as a new request arrives, a new process must be created with the specifications from the request. We use ZeroMQ for messaging. There is also a Process which is started at the beginning and only ends if the whole script terminates.

Now I am searching for a solution how I can await all processes, while being able to add additional processes.

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ANSWER

Answered 2020-Jul-10 at 13:41

You need to create a list of tasks or a future object for the processes. Also you cannot add process to the event loop while awaiting other tasks

Source https://stackoverflow.com/questions/62835470

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

Vulnerabilities

No vulnerabilities reported

Install aiomultiprocess

aiomultiprocess requires Python 3.6 or newer. You can install it from PyPI:.

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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