\u975e\u963b\u585e\uff0c\u5c31\u662f\u5f53\u4e00\u4e2a\u4efb\u52a1\u6b63\u5728\u6267\u884c\u7684\u65f6\u5019\uff0c\u5141\u8bb8\u7a0b\u5e8f\u7ee7\u7eed\u6267\u884c\u5176\u4ed6\u4efb\u52a1\uff0c\u800c\u4e0d\u7528\u7b49\u5f85\u8fd9\u4e2a\u4efb\u52a1\u6267\u884c\u5b8c\u6bd5\u3002<\/p>\n\n\n\n
Non-blocking refers to the ability of a system, program, or piece of code to continue executing without being halted by certain operations or tasks. This concept is crucial in concurrent and parallel computing, where multiple tasks or threads need to run simultaneously without waiting for each other to complete. Here’s a breakdown of how to comprehend non-blocking:<\/p>\n\n\n\n
Basic Definition<\/strong>:<\/p>\n\n\n\n Examples in Different Contexts<\/strong>:<\/p>\n\n\n\n Benefits<\/strong>:<\/p>\n\n\n\n Common Techniques<\/strong>:<\/p>\n\n\n\n \u4e0b\u9762\u901a\u8fc7\u4e00\u4e2a\u4f8b\u5b50\u6765\u8bf4\u660e\uff0c\u4f60\u4e00\u4e0b\u5b50\u5c31\u660e\u767d\u4e86\uff1a<\/p>\n\n\n\n \u770b\u4e0a\u9762\u7a0b\u5e8f\uff0c\u4f60\u5148\u4e0d\u8981\u8003\u8651\u7ebf\u7a0b\u4ec0\u4e48\u7684\uff0cmain \u65b9\u6cd5\u91cc\u8c03\u7528\u4e86 In this example, Understanding non-blocking is essential for writing efficient and responsive applications, particularly in environments where tasks need to be performed concurrently.<\/p>\n\n\n\n The terms “non-blocking” and “asynchronous” are closely related but are not synonymous. They both deal with the handling of tasks that may take some time to complete, but they do so in slightly different ways. Here\u2019s a breakdown of their differences and relationship:<\/p>\n\n\n\n Definition<\/strong>:<\/p>\n\n\n\n Characteristics<\/strong>:<\/p>\n\n\n\n Examples<\/strong>:<\/p>\n\n\n\n Definition<\/strong>:<\/p>\n\n\n\n Characteristics<\/strong>:<\/p>\n\n\n\n Examples<\/strong>:<\/p>\n\n\n\n Here\u2019s how non-blocking and asynchronous concepts can be seen in Python:<\/p>\n\n\n\n Non-Blocking I\/O with Callbacks<\/strong>:<\/p>\n\n\n\n Asynchronous with Asyncio<\/strong>:<\/p>\n\n\n\n In the first example, non-blocking I\/O is achieved using selectors and callbacks<\/mark><\/strong>. In the second example, asynchronous programming with \u975e\u963b\u585e \u975e\u963b\u585e\uff0c\u5c31\u662f\u5f53\u4e00\u4e2a\u4efb\u52a1\u6b63\u5728\u6267\u884c\u7684\u65f6\u5019\uff0c\u5141\u8bb8\u7a0b\u5e8f\u7ee7\u7eed\u6267\u884c\u5176\u4ed6\u4efb\u52a1\uff0c\u800c\u4e0d\u7528\u7b49\u5f85\u8fd9\u4e2a\u4efb\u52a1\u6267\u884c\u5b8c\u6bd5\u3002 Non-…<\/p>\n","protected":false},"author":1,"featured_media":1354,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[56],"yoast_head":"\n\n
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import asyncio\n\nasync def non_blocking_task():\n print(\"Task started\")\n await asyncio.sleep(2) # Simulate a non-blocking delay\n print(\"Task completed\")\n\nasync def main():\n print(\"Main started\")\n task = asyncio.create_task(non_blocking_task())\n print(\"Main continues to run\")\n await task # Wait for the task to complete\n print(\"Main completed\")\n\nasyncio.run(main())\n<\/code><\/pre>\n\n\n\nnon_blocking_task()<\/code> \u90a3\u4e48\u7a0b\u5e8f\u5c31\u4f1a\u6267\u884c non_blocking_task()<\/code> \u65b9\u6cd5\uff0c\u6267\u884c\u5230 await asyncio.sleep(2)<\/code> \u65f6\u7a0b\u5e8f\u8fd4\u56de\uff0c\u7ee7\u7eed\u6267\u884c main \u65b9\u6cd5\u91cc\u5176\u4ed6\u4ee3\u7801\uff0c\u7b49 await asyncio.sleep(2)<\/code> \u6267\u884c\u5b8c\u6bd5\uff0c\u7a0b\u5e8f\u5728\u7ee7\u7eed\u6267\u884c print(\"Task completed\") <\/code>\uff0c\u8fd9\u4e2a\u4f8b\u5b50\u5c31\u6f14\u793a\u4e86\u4ec0\u4e48\u201c\u975e\u963b\u585e\u201d\u3002<\/p>\n\n\n\nasyncio.sleep(2)<\/code> is a non-blocking sleep operation. The main function continues to run while the task is sleeping, demonstrating non-blocking behavior.<\/p>\n\n\n\n\u5f02\u6b65<\/h1>\n\n\n\n
Non-Blocking<\/h3>\n\n\n\n
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Asynchronous<\/h3>\n\n\n\n
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async def<\/code> and await<\/code>), JavaScript (using async<\/code> and await<\/code>), and C#.<\/li>\n<\/ul>\n\n\n\nRelationship<\/h3>\n\n\n\n
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Example in Python<\/h3>\n\n\n\n
import socket\nimport selectors\n\nsel = selectors.DefaultSelector()\n\ndef read(conn, mask):\n data = conn.recv(1000) # Should be ready\n if data:\n print('Received', repr(data))\n else:\n print('Closing', conn)\n sel.unregister(conn)\n conn.close()\n\nsock = socket.socket()\nsock.connect(('example.com', 80))\nsock.setblocking(False)\nsel.register(sock, selectors.EVENT_READ, read)\n\n# Event loop\nwhile True:\n events = sel.select()\n for key, mask in events:\n callback = key.data\n callback(key.fileobj, mask)\n<\/code><\/pre>\n\n\n\nimport asyncio\n\nasync def fetch_data():\n print(\"Fetching started\")\n await asyncio.sleep(2) # Simulate I\/O operation\n print(\"Fetching completed\")\n\nasync def main():\n print(\"Main started\")\n await fetch_data()\n print(\"Main completed\")\n\nasyncio.run(main())\n<\/code><\/pre>\n\n\n\nasyncio<\/code> provides a higher-level abstraction<\/mark><\/strong> that simplifies the handling of asynchronous tasks.<\/p>\n","protected":false},"excerpt":{"rendered":"