Utilizing a message queue is a key strategy for creating distributed, high-throughput web services. A message queue allows 'work' to be placed in a queue. Separate processes, sometimes referred to as workers, grab messages from the queue and process them according to the needs of the application.
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An example of this could be a eCommerce site that sells widgets. Contoh Program Absensi Php. When a customer completes checkout, an order would be placed in the queue. At the same time, worker threads would be looking through the queue for new orders and when they find one, they would send out the email confirmation to the customer, decrement the items in stock database, and send a notice to the shipping center to ship out the widget to the customer. This separation of duties (and processes) allows many more order to be processed by adding a point of horizontal scaling to the application.
There are many message queue software packages available today across many platforms and languages, and several good ones available in PHP, such as. PHP natively provides message queue functions in its, and creating a working queue is a fairly easy process.
Below is an illustrative example of a native PHP message queue that you can use as a basis for a queue in your web application or service. You'll need PHP 4.3+ on Mac or Linux (this extension is not available on Windows) and access to the crontab if you want to make sure your workers process jobs forever. PHP's native message queue works by storing messages in shared memory, and is accessible to other processes on your machine. In PHP's words, 'They provide a simple and effective means of exchanging data between processes.' If I was developing a large, enterprise message queue, I would not use these functions, as they don't allow workers and job servers to be managed across multiple servers.
For smaller projects and tinkering around, PHP's functions are a great way to understand how message queues work and to process a small amount of requests. Message Queue Layout There are three main components to our queue.
I am working on a project that will have to scale. We're building a data migration tool so that we can lower the switching costs for new clients. Our migration software is going to have to interface with the main software over an API. With the volume we're looking at, we need to scale, which means we need a work queue.