Scrapy_Redis_Bloomfilter | 基于Redis的Bloomfilter去重，并将其扩展到Scrapy框架。

by LiuXingMing Python Version: Current License: No License

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

kandi X-RAY | Scrapy_Redis_Bloomfilter Summary

Scrapy_Redis_Bloomfilter is a Python library. Scrapy_Redis_Bloomfilter has no bugs, it has no vulnerabilities and it has low support. However Scrapy_Redis_Bloomfilter build file is not available. You can download it from GitHub.

##种子优化：## 在scrapyWithBloomfilter_demo中我对默认的种子作了一些修改，在settings.py中将 SCHEDULER_QUEUE_CLASS 改成 'scrapyWithBloomfilter_demo.scrapy_redis.queue.SpiderSimpleQueue' 即可。详细介绍见：《scrapy_redis种子优化》。.

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Quality

Security

License

Reuse

Support

Scrapy_Redis_Bloomfilter has a low active ecosystem.

It has 328 star(s) with 144 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 0 have been closed. On average issues are closed in 947 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Scrapy_Redis_Bloomfilter is current.

Quality

Scrapy_Redis_Bloomfilter has 0 bugs and 0 code smells.

Security

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

Scrapy_Redis_Bloomfilter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Scrapy_Redis_Bloomfilter 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

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

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

It has 599 lines of code, 83 functions and 18 files.

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

Top functions reviewed by kandi - BETA

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

Create a Scheduler instance from the given settings
Create a redis instance from settings
Creates a redis instance from the given settings
Marks spider idle
Get the next request from the server
Schedule next request
Remove the item from the queue
Decode a request
Close the stream
Clear the cache
Push an item to the queue
Encode a request object
Process an item
Return the key to use for the spider
Creates a DuplicateFilter from the given settings
Push a new request onto the queue
Create an instance from settings
Remove a request from the server
Remove the item from the server
Called when an item is popped

Get all kandi verified functions for this library.

Scrapy_Redis_Bloomfilter Key Features

No Key Features are available at this moment for Scrapy_Redis_Bloomfilter.

Scrapy_Redis_Bloomfilter Examples and Code Snippets

No Code Snippets are available at this moment for Scrapy_Redis_Bloomfilter.

Community Discussions

No Community Discussions are available at this moment for Scrapy_Redis_Bloomfilter.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Scrapy_Redis_Bloomfilter

You can download it from GitHub.
You can use Scrapy_Redis_Bloomfilter 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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