How to make the project more concurrency? Use ID auto-increment to ensure queuing order

The Spring framework manages concurrency through two mechanisms: thread pool and asynchronous processing: Thread pool: Use the ThreadPoolTaskExecutor class to configure the core and maximum number of threads and queue capacity. Asynchronous processing: Use the @Async annotation to mark methods so that the method can be executed asynchronously in a separate thread without the need to manually manage threads.

With the rapid development of information technology, programming languages ​​have become an indispensable part of today's world. Among many programming languages, Go language is very popular because of its unique advantages and characteristics. This article will deeply explore the advantages and characteristics of Go language, hoping to bring readers a clearer understanding. 1. Simple and easy-to-use syntax The syntax design of Go language is simple and clear, making the code easier to read and maintain. It abandons some cumbersome grammatical rules, focuses on simplicity and intuitiveness, and lowers the threshold for language learning. This makes the Go language more capable during the development process

In the Python world, the GIL (Global Interpreter Lock) has always been a barrier to limiting concurrency. It forces the Python interpreter to execute only one thread at a time, hindering utilization of multi-core processors and limiting program throughput. However, as the Python ecosystem has grown, several techniques have emerged to bypass the GIL and unlock the potential of Python's concurrency. Coroutines: Lightweight concurrent coroutines are a lightweight concurrency mechanism that allow multiple functions to execute simultaneously without creating separate threads. They do this by pausing and resuming during function execution. The benefits of coroutines include: Lightweight: Coroutines have less overhead than threads. Composability: Coroutines can be easily composed together to create complex concurrent applications

Nature of GIL GIL is a mutex used to serialize access to underlying CPython interpreter objects within the python interpreter. It ensures thread safety by preventing multiple threads from modifying shared data structures simultaneously. When a thread acquires the GIL, it has exclusive access to the interpreter, and other threads must wait until the GIL is released. Impact of the GIL The GIL has a significant impact on Python's concurrency. Since only one thread can execute bytecode at the same time, when one thread is running intensive calculations, other threads will be blocked and unable to execute concurrently. This is especially problematic on multi-core systems, since only one core can be utilized to execute Python code. Demonstration of the GIL The following code demonstrates the GIL pair

Go language (also known as Golang) is a programming language developed by Google. It is designed to be a concise, efficient and concurrency-rich programming language. In server-side development, Go language has many unique features and advantages. This article will explore the characteristics of Go language in server-side development and demonstrate its advantages through specific code examples. Features: 1. Strong concurrency: Go language has built-in lightweight goroutine and channel mechanisms, which makes concurrent programming more convenient.

As a statically typed, compiled programming language, Go language is widely used in the fields of network programming and distributed systems. It has many important features. This article will analyze the important features of the Go language and illustrate it with specific code examples. 1. Concurrent programming support Go language inherently supports concurrent programming, and the combination of goroutine and channel makes concurrent programming simpler and more efficient. Goroutine is a lightweight thread that can run functions or methods concurrently. Pass the pass

Java functions handle large amounts of data efficiently through lazy evaluation: data is evaluated only when needed, avoiding unnecessary loading and processing. Take full advantage of multi-core processors using multithreading and concurrency: Use ExecutorService and CompletableFuture to manage concurrency. With serverless platforms like Google Cloud Functions, challenges can be addressed without the need to manage servers.

Concurrency and Traditional Blocking Programming In traditional blocking programming, when a task waits for an I/O operation (such as reading a file or a network request), the entire program is blocked until the operation is completed. This can limit the efficiency of your application, especially when dealing with a large number of I/O-intensive operations. asyncio's event loop asyncio introduces the concept of an event loop that continuously monitors various I/O events. When an event is detected, the event loop places the appropriate callback function into the event queue. These callback functions are called coroutines, and they represent tasks that can be suspended. Coroutines and Asynchronous Programming Coroutines are the core concept of asyncio. They are lightweight, pauseable and resumeable tasks. Unlike threads, coroutines are in the same thread