Send 10,000 requests containing sql commands to a certain URL almost simultaneously and let php update 10,000 pieces of data. Will php hang? Or will they be dealt with one by one?
Need to use a queue? How meaningful is it to use it?
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Send 10,000 requests containing sql commands to a certain URL almost simultaneously and let php update 10,000 pieces of data. Will php hang? Or will they be dealt with one by one?
Need to use a queue? How meaningful is it to use it?
How many servers are there
Concurrency
First of all, 1W requests will not generate 1W fpm. For details, you can check the fpm configuration. There is a limit on the maximum number of processes. Subsequent requests are discarded and error 502 is reported. This should be very common, right?
Even if you have the resources to accommodate 1,000 processes, PHP actually runs very fast. It’s just that each initialization takes time, and the logical processing ends quickly. Link to mysql. Can mysql accommodate 1,000 links at the same time? Report an error, sql error.
PHP and mysql are both supported, so there is nothing to say, and it will definitely not be paralyzed.
According to your server resources (1 server), it is recommended to use queue, preferably singleton mode, so that it will not affect other businesses too much.
If you use a queue, it can be optimized. The data requested for 10,000 times is taken out and merged. Can it be updated all at once? Can it be merged into several times (less than 1W)?

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PHP is suitable for web development, especially in rapid development and processing dynamic content, but is not good at data science and enterprise-level applications. Compared with Python, PHP has more advantages in web development, but is not as good as Python in the field of data science; compared with Java, PHP performs worse in enterprise-level applications, but is more flexible in web development; compared with JavaScript, PHP is more concise in back-end development, but is not as good as JavaScript in front-end development.

PHP and Python each have their own advantages and are suitable for different scenarios. 1.PHP is suitable for web development and provides built-in web servers and rich function libraries. 2. Python is suitable for data science and machine learning, with concise syntax and a powerful standard library. When choosing, it should be decided based on project requirements.

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PHP remains a powerful and widely used tool in modern programming, especially in the field of web development. 1) PHP is easy to use and seamlessly integrated with databases, and is the first choice for many developers. 2) It supports dynamic content generation and object-oriented programming, suitable for quickly creating and maintaining websites. 3) PHP's performance can be improved by caching and optimizing database queries, and its extensive community and rich ecosystem make it still important in today's technology stack.

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