Jedis framework for high concurrent processing in Java libraries

Jedis framework for high concurrent processing in Java libraries Overview: In today's Internet era, Gao Mengfa's treatment has become an important issue for developers' attention.As a popular programming language, Java provides many class libraries and tools for processing concurrent problems.Jedis is a Redis client based on Java. It provides high -performance data access and operating interfaces, which is especially suitable for high -parallel scenes.This article will introduce the support of JEDIS framework for high concurrent processing of Java libraries. 1. Jedis framework introduction Jedis is an open source, a Redis client framework written in Java language.It manages the connection of the Redis server by connecting the pool, providing a simple API, which is convenient for developers to access and operate Redis.At the same time, Jedis also supports high -composite processing in Java applications, and provides some powerful functions and characteristics. 2. Jedis's high concurrent processing ability 2.1 Connection pool management In the high -concurrency scene, the creation and destruction of connection have a greater impact on performance.Jedis can manage the REDIS server connection by connecting the pool, which can efficiently maintain and reuse the connection, reduce the creation and destruction overhead of the connection, thereby improving the concurrent processing capacity.The following is a sample code created and obtained by the JEDIS connection pool: JedisPoolConfig jedisPoolConfig = new JedisPoolConfig(); jedispoolconfig.setmaxTotal (100); // Set the maximum number of connections jedispoolconfig.setmaxidle (10); // Set the maximum free connection number JedisPool jedisPool = new JedisPool(jedisPoolConfig, "localhost", 6379); Jedis jedis = jedisPool.getResource(); // Use Jedis for data access and operation // ... jedis.close (); // Release the connection jedispool.close (); // Close the connection pool 2.2 Pipeline batch operation Jedis provides the Pipeline mechanism that can execute the Redis operation command in batches to reduce the network delay and communication overhead of each operation.This is particularly useful for data reading and writing operations in high concurrent scenes.The following is a sample code using pipeline for batch operations: Jedis jedis = new Jedis("localhost", 6379); Pipeline pipeline = jedis.pipelined(); pipeline.set("key1", "value1"); pipeline.incr("counter"); pipeline.zadd("sortedset", 1, "member1"); // ... Response<String> result1 = pipeline.get("key1"); Response<Long> result2 = pipeline.get("counter"); // ... pipeline.sync (); // Perform batch operations String value1 = result1.get(); Long counter = result2.get(); // ... jedis.close(); 2.3 Distributed lock support In high concurrency scenes, distributed locks are important means to solve data competition and concurrency access problems.Jedis provides support for distributed locks through Redis's atomic operation and characteristics.Developers can use the SETNX commands and Expire commands provided by Jedis to achieve distributed locks.Here are a simple distributed lock example code: Jedis jedis = new Jedis("localhost", 6379); String lockKey = "lock"; String requestId = UUID.randomUUID().toString(); int Expiretime = 60; // The expiration time of setting lock is 60 seconds boolean locked = jedis.setnx(lockKey, requestId) == 1; if (locked) { jedis.expire (Lockkey, Expiretime); // Set the expiration time of the lock // Execute the critical area code // ... jedis.del (lockkey); // Release the lock } else { // Get the lock failure, make a review or other processes // ... } jedis.close(); in conclusion: As a high -performance Redis Java client, the Jedis framework provides rich features and functions, making data access and operation of Redis in high concurrency scenes more efficient and convenient.By connecting pool management, PIPELINE batch operation and distributed lock support, Jedis realizes good support for high concurrent processing of Java libraries.In development, we can make full use of the advantages of the JEDIS framework to improve the system's concurrent processing capabilities and optimize the user experience.