Use the Scala Redis Client framework to achieve efficient data cache in the Java class library

Use the Scala Redis Client framework to achieve efficient data cache in the Java class library Overview: Data cache is a very important part of the development of Internet applications in recent years.It can help us store data in memory, thereby improving the performance of the application and reducing frequent access to the underlying database.In this article, we will introduce how to use the SCALA Redis Client framework to achieve efficient data cache in the Java library. Step 1: Introduce Redis and Scala Redis Client dependencies Before starting, we need to introduce Redis and Scala Redis Client to use them in our Java project.We can achieve it by adding the following dependencies to the construction document of the project: <dependencies> <!-- Redis --> <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> <version>3.6.0</version> </dependency> <!-- Scala Redis Client --> <dependency> <groupId>net.debasishg</groupId> <artifactId>redisclient_2.13</artifactId> <version>3.41</version> </dependency> </dependencies> Step 2: Create a redis connection instance To use Scala Redis Client, we first need to create a Redis connection instance.We can perform this operation in the initial stage of the application.The following is a sample code fragment that shows how to create a Redis connection instance: import com.redis.RedisClient // Create a Redis client RedisClient redisClient = new RedisClient("localhost", 6379); Step 3: Storage data to Redis Once we have a Redis connection instance, we can use the method provided by Scala Redis Client to store data in Redis.The following is an example code that stores the key value to the Redis: // Set the cache redisClient.set("key", "value"); Step 4: Focus data from Redis When you need to search the cache data, we can use the GET method provided by the Scala Redis Client.The following is an example of reading the cache data from Redis: // Get the cache String value = redisClient.get("key"); Step 5: Set the data expiration time To improve the effectiveness of the cache, we can set the expiration time of the data.Once the expiration time is exceeded, Redis will automatically remove the data.The following is an example of how to set the expiration time for the cache data: // Set up a cache with expired time Rediscient.setex ("key", 60, "value"); // The expiration time is 60 seconds Step 6: Delete the cache data If we want to manually delete the cache data, we can use the DEL method provided by the Scala Redis Client.The following is an example of deleting cache data: // Delete the cache redisClient.del("key"); Step 7: Close the redis connection Finally, when our application is completed, we should close the connection with Redis.This can be implemented by calling the Quit method provided by the Scala Redis Client, as shown below: // Turn off the redis connection redisClient.quit(); Summarize: By using the Scala Redis Client framework, we can easily achieve efficient data cache in the Java library.In this article, we introduced how to introduce Redis and Scala Redis Client dependencies, and provide a complete example code and related configuration so that readers can easily understand and realize the data cache function.By using this technology, we can improve the performance of the application and reduce frequent access to the underlying database.