How to evaluate and choose the right low GC Memory Queue framework

How to evaluate and choose the right low GC Memory Queue framework Introduction: In high throughput and low -delay applications, it is very important to use efficient memory queues.The memory queue can be used for temporary data between decoupled producers and consumers, and improves the performance of the entire system.When choosing a suitable low GC (garbage collection) memory queue framework, multiple factors need to be considered to ensure its performance and stability. This article introduces how to evaluate and select the suitable low GC memory queue framework, and provide some Java code examples as a reference. 1. Performance assessment factors: When evaluating the low GC memory queue framework, the following performance indicators need to be considered: -Plead: The number of messages per second.In the high throughput scenario, select the queue framework that can handle more news. -Dleep: That is, the time required to enter the team from the message to the message.In low delay scenarios, select a queue framework with lower latency. -Datalizing: The size of the frame used in memory.Choosing a queue frame with a small memory can better use limited resources. -The telescope: that is, the scalability of the frame when facing high concurrency loads.Choose a queue framework with good scalability to meet future business needs. 2. Select the suitable low GC memory queue framework: When choosing a suitable low GC memory queue framework, you can consider the following common frameworks: -Disruptor: Disruptor is a high -performance queue framework without locking and GC without GC.It uses a circular buffer to realize the communication between producers and consumers.DISRUPTOR has excellent throughput and delayed performance, performing excellent performance in high concurrency scenes. Example code: // Create DISRUPTOR queue RingBuffer<Event> ringBuffer = RingBuffer.createSingleProducer(Event::new, bufferSize); // The producer posted a message to the queue long sequence = ringBuffer.next(); Event event = ringBuffer.get(sequence); // Set message content event.setData("Hello, Disruptor!"); ringBuffer.publish(sequence); // Consumers get messages from the queue EventHandler<Event> eventHandler = (event, sequence, endOfBatch) -> { // Treat the message System.out.println(event.getData()); }; BatchEventProcessor<Event> batchEventProcessor = new BatchEventProcessor<>(ringBuffer, ringBuffer.newBarrier(), eventHandler); batchEventProcessor.run(); -LMAX-EXCHANGE: LMAX-EXCHANGE is a high-performance message transmission engine and an early version of DISRUPTOR.It uses the same ring buffer principle and provides scalable architecture.LMAX-EXCHANGE is very suitable for applications that have strict requirements for delay and throughput of financial transactions. Example code: Same code with DISRUPTOR. -JCTools: JCTools is a set of complicated data structures and algorithms for Java, including single producers and single consumer queues, multi -producer single consumer queues.It provides multiple lock -free queue implementations, has excellent performance and scalability, while reducing GC overhead. Example code: // Create MPSCARAYQUEUE queue MpscArrayQueue<String> queue = new MpscArrayQueue<>(bufferSize); // Add a message to the queue queue.offer("Hello, JCTools!"); // Consumers get messages from the queue String message = queue.poll(); System.out.println(message); Summarize: When evaluating and selecting suitable low GC memory queue frameworks, performance indicators need to be considered according to the requirements of the specific application scenarios, and the appropriate framework needs to be selected.DISRUPTOR, LMAX-EXCHANGE and JCTools are common memory queue frameworks, with excellent performance and stability.According to different needs, choosing a suitable framework can improve the performance and stability of the system.