awesome-farm | automatic data-encapsulating background job system
kandi X-RAY | awesome-farm Summary
kandi X-RAY | awesome-farm Summary
awesome-farm is a C library. awesome-farm has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
I'm a C newbie from the Ruby land. When working with Ruby, I always feel that the language is trying to make developers happy, in exchange for a lot of abstractions, performance penalties, etc. There aren't much similarities between C and Ruby. One common pattern used in Ruby is to leverage background job system to offload heavy tasks out of latency-sensitive tasks. There are some major players in Ruby land supporting this pattern is Sidekiq. It is a multi-threaded background processing system that provides a lot of magic to simplify the interface and boilerplate. Just simple like this:. The data type encapsulation, message queuing, function call dispatching is faded from the developers so that they just need to focus in the processing logic. Besides, Sidekiq provides many advanced features, such as automatically retrying, advanced time scheduling, logging, etc. All of the above makes me wonder, what if I adopt (clone) sidekiq features and move it to C? That's why I create Awesome Farm, which is a multi-threaded, automatic data-encapsulating background job system for C.
I'm a C newbie from the Ruby land. When working with Ruby, I always feel that the language is trying to make developers happy, in exchange for a lot of abstractions, performance penalties, etc. There aren't much similarities between C and Ruby. One common pattern used in Ruby is to leverage background job system to offload heavy tasks out of latency-sensitive tasks. There are some major players in Ruby land supporting this pattern is Sidekiq. It is a multi-threaded background processing system that provides a lot of magic to simplify the interface and boilerplate. Just simple like this:. The data type encapsulation, message queuing, function call dispatching is faded from the developers so that they just need to focus in the processing logic. Besides, Sidekiq provides many advanced features, such as automatically retrying, advanced time scheduling, logging, etc. All of the above makes me wonder, what if I adopt (clone) sidekiq features and move it to C? That's why I create Awesome Farm, which is a multi-threaded, automatic data-encapsulating background job system for C.
Support
Quality
Security
License
Reuse
Support
awesome-farm has a low active ecosystem.
It has 8 star(s) with 0 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
awesome-farm has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of awesome-farm is current.
Quality
awesome-farm has no bugs reported.
Security
awesome-farm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
awesome-farm does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
awesome-farm releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of awesome-farm
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of awesome-farm
awesome-farm Key Features
No Key Features are available at this moment for awesome-farm.
awesome-farm Examples and Code Snippets
No Code Snippets are available at this moment for awesome-farm.
Community Discussions
No Community Discussions are available at this moment for awesome-farm.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install awesome-farm
A typical work flow involves 3 objects:. First, you'll need to declare the worker signature in a header file, and its definition in a source file.
Worker definition, shared between client and server.
Client, whatever web server, real time chat servers, etc. that needs to offload its heavy tasks.
Server, the main process to handle background jobs.
Worker definition, shared between client and server.
Client, whatever web server, real time chat servers, etc. that needs to offload its heavy tasks.
Server, the main process to handle background jobs.
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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page