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2025-01-16 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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Editor to share with you what are the differences between scrapy and scrapy-redis in Python, I believe most people do not know much about it, so share this article for your reference, I hope you can learn a lot after reading this article, let's go to know it!
Scrapy is a Python crawler framework with high crawling efficiency and highly customized, but does not support distribution. Choose the redis database because redis supports master-slave synchronization, and the data is cached in memory.
The difference between scrapy and scrapy-redis
Scrapy is a Python crawler framework with high crawling efficiency and highly customized, but does not support distribution. Scrapy-redis, a set of components based on redis database and running on scrapy framework, enables scrapy to support distributed policies, and the server side shares item queues, request queues and request finger sets in the Master-side redis database.
Why choose redis database?
Redis database is selected because redis supports master-slave synchronization, and the data is cached in memory, so the redis-based distributed crawler is very efficient in reading requests and data at high frequency.
These are all the contents of this article entitled "what are the differences between scrapy and scrapy-redis in Python". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!
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