foreword
This article is the 44th article of this column, and I will continue to share the knowledge of python crawler dry goods later, remember to pay attention.
Distributed crawler refers to the simultaneous processing of crawler tasks by multiple servers or multiple working nodes, which can greatly improve collection efficiency and has good stability and scalability. The distribution in crawlers usually needs to be used with message queues. At present, it is more commonly used in combination with Redis database shared queues, or in combination with Celery distributed task queues, and rabbitMQ message queues.
In the crawler project, in the face of the demand for massive data, using a distributed architecture strategy to collect can greatly improve our work efficiency. Faced with the current blowout growth of big data in various industries, this is one of the reasons why distributed crawler systems are widely used in large crawler projects. Therefore, it is very necessary to master the idea of distributed crawler architecture.
For the distributed crawler architecture, the author will mainly introduce two commonly used distributed crawler architectures , and this article will introduce the first one in detail - master-slave distribution , combined with architecture design ideas to explain in detail. The second distributed crawler architecture will be introduced in detail in the next article . Interested students, remember to pay attention .
Not much nonsense, let's follow the author and read the text directly.
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It can be said that master-slave distribution is currently the most used