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In Swoole, coroutines are widely used in high-concurrency network services, real-time data processing, distributed task scheduling, asynchronous I/O operations, concurrent crawlers and other scenarios, significantly improving server throughput and reducing Reduce task execution time and implement high-performance non-blocking I/O operations.
The application scenario of coroutine in Swoole
Coroutine is a lightweight thread. Allows multiple tasks to be executed in parallel within a single process. In Swoole, coroutines are widely used in the following scenarios:
1. High-concurrency network services
Swoole is a high-performance network framework that uses coroutine technology to Handle a large number of concurrent connections and significantly improve server throughput. For example, coroutines can enable a single server to handle tens or even hundreds of thousands of simultaneous connections.
2. Real-time data processing
Coroutines can efficiently process real-time data streams, such as data from message queues such as websocket or Kafka. By using coroutines, multiple data blocks can be processed in parallel at the same time, reducing latency and improving response time.
3. Distributed task scheduling
Coroutines can easily allocate tasks to different coroutines for execution to achieve parallel computing. It can significantly reduce task execution time, especially when the number of tasks is large or requires parallel processing.
4. Asynchronous I/O operations
Coroutines can be used with Swoole’s asynchronous I/O API to achieve high-performance non-blocking I/O operations. For example, a coroutine can make multiple file reads or network requests simultaneously without blocking the main thread.
5. Concurrent crawler
Coroutines are very suitable for writing high-concurrency crawler programs. It allows downloading and parsing multiple pages at the same time, greatly improving crawler efficiency.
6. Other scenarios
In addition to the above scenarios, coroutines have many other applications in Swoole, such as:
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