SpringBoot整合缓存 ~ 整合Redis缓存和序列化

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前言

$授人以鱼不如授人以渔，核心在于思想$
$网上每个人都是讲整合步骤1/2/3列出来，没有教大家如何去找这个方法以及配置，$
$这里把方法分享给大家，希望对大家有帮助$

整合redis缓存 ~ 版本：1.5.12

1. 搭建redis服务器
   $如何搭建redis不在这里展开，不是重点$
   

2、引入pom依赖，如何找这个依赖呢？

https://docs.spring.io/spring-boot/docs/2.1.18.RELEASE/reference/html/
改为
https://docs.spring.io/spring-boot/docs/1.5.12.RELEASE/reference/html/

方法有点low，不过是真的找不到1.5.12的版本文档入口呀

找到：13.5. Starters

     <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>

$上面啰嗦了那么多，就是引入了该依赖，重要的是学习该思想ok$

3. 使用@EnableCaching注解

@SpringBootApplication
@EnableCaching
@MapperScan("csdn.xiaozheng.springbootcachexiaozheng.mapper")
public class SpringBootCacheXiaozhengApplication {
    
    

	public static void main(String[] args) {
    
    
		SpringApplication.run(SpringBootCacheXiaozhengApplication.class, args);
	}

}

4. 配置redis，redis支持哪些配置呢

Common application properties

或者搜搜

spring.redis.host

# REDIS (RedisProperties)
spring.redis.cluster.max-redirects= # Maximum number of redirects to follow when executing commands across the cluster.
spring.redis.cluster.nodes= # Comma-separated list of "host:port" pairs to bootstrap from.
spring.redis.database=0 # Database index used by the connection factory.
spring.redis.url= # Connection URL, will override host, port and password (user will be ignored), e.g. redis://user:password@example.com:6379
spring.redis.host=localhost # Redis server host.
spring.redis.password= # Login password of the redis server.
spring.redis.ssl=false # Enable SSL support.
spring.redis.pool.max-active=8 # Max number of connections that can be allocated by the pool at a given time. Use a negative value for no limit.
spring.redis.pool.max-idle=8 # Max number of "idle" connections in the pool. Use a negative value to indicate an unlimited number of idle connections.
spring.redis.pool.max-wait=-1 # Maximum amount of time (in milliseconds) a connection allocation should block before throwing an exception when the pool is exhausted. Use a negative value to block indefinitely.
spring.redis.pool.min-idle=0 # Target for the minimum number of idle connections to maintain in the pool. This setting only has an effect if it is positive.
spring.redis.port=6379 # Redis server port.
spring.redis.sentinel.master= # Name of Redis server.
spring.redis.sentinel.nodes= # Comma-separated list of host:port pairs.
spring.redis.timeout=0 # Connection timeout in milliseconds.

这样你就知道支持哪些配置了

spring.redis.host=127.0.0.1

整合完毕，测试

package csdn.xiaozheng.springbootcachexiaozheng;

import csdn.xiaozheng.springbootcachexiaozheng.domain.Department;
import csdn.xiaozheng.springbootcachexiaozheng.service.DepartmentService;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.test.context.junit4.SpringRunner;

@SpringBootTest
@EnableCaching
@RunWith(SpringRunner.class)
public class SpringBootCacheXiaozhengApplicationTests{
    
    
	@Autowired 
	private DepartmentService departmentService;

	@Autowired
	private RedisTemplate redisTemplate;

	@Autowired
	private StringRedisTemplate stringRedisTemplate;
	
	@Test
	public void test1(){
    
    
		Department department = departmentService.get(1);
		System.out.println(department.toString());
	}

	@Test
	public void test001(){
    
    
		redisTemplate.opsForValue().set("name", "xiaozheng");
		Object name = redisTemplate.opsForValue().get("name");
		System.out.println(name.toString());
	}

}

工具查看：

$整个过程是不是很简单，个人建议最重要的是掌握学习方法，$
$例如整合docket需要引入哪些依赖，有哪些配置，全部都可以在API文档中看出，上面把所有的截图都给大家了$

存在的序列化问题

从上图我们可以看出，存入redis的内容xiaozheng变成了\xAC\xED\x00\x05t\x00\x09xiaozheng

@Test
	public void test002(){
    
    
		Employee employee = employeeService.get(1);
		redisTemplate.opsForValue().set("emp-01", employee);

	}

在默认情况下呢，它使用的是jdk的序列化机机制

自定义序列化机制

package csdn.xiaozheng.springbootcachexiaozheng.config;


import csdn.xiaozheng.springbootcachexiaozheng.domain.Department;
import csdn.xiaozheng.springbootcachexiaozheng.domain.Employee;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;

import java.net.UnknownHostException;

@Configuration
public class MyRedisConfig {
    
    

    @Bean
    public RedisTemplate<Object, Employee> empRedisTemplate(
            RedisConnectionFactory redisConnectionFactory)
            throws UnknownHostException {
    
    
        RedisTemplate<Object, Employee> template = new RedisTemplate<Object, Employee>();
        template.setConnectionFactory(redisConnectionFactory);
        Jackson2JsonRedisSerializer<Employee> ser = new Jackson2JsonRedisSerializer<Employee>(Employee.class);
        template.setDefaultSerializer(ser);
        return template;
    }
    @Bean
    public RedisTemplate<Object, Department> deptRedisTemplate(
            RedisConnectionFactory redisConnectionFactory)
            throws UnknownHostException {
    
    
        RedisTemplate<Object, Department> template = new RedisTemplate<Object, Department>();
        template.setConnectionFactory(redisConnectionFactory);
        Jackson2JsonRedisSerializer<Department> ser = new Jackson2JsonRedisSerializer<Department>(Department.class);
        template.setDefaultSerializer(ser);
        return template;
    }



}

package csdn.xiaozheng.springbootcachexiaozheng;

import csdn.xiaozheng.springbootcachexiaozheng.domain.Department;
import csdn.xiaozheng.springbootcachexiaozheng.domain.Employee;
import csdn.xiaozheng.springbootcachexiaozheng.service.DepartmentService;
import csdn.xiaozheng.springbootcachexiaozheng.service.EmployeeService;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.test.context.junit4.SpringRunner;

@SpringBootTest
@EnableCaching
@RunWith(SpringRunner.class)
public class SpringBootCacheXiaozhengApplicationTests{
    
    
	@Autowired 
	private DepartmentService departmentService;
	@Autowired
	private EmployeeService employeeService;

	@Autowired
	private RedisTemplate redisTemplate;

	@Autowired
	private StringRedisTemplate stringRedisTemplate;
	@Autowired
	private RedisTemplate<Object, Employee> empRedisTemplate;
	
	@Test
	public void test1(){
    
    
		Department department = departmentService.get(1);
		System.out.println(department.toString());
	}

	@Test
	public void test001(){
    
    
		redisTemplate.opsForValue().set("name", "xiaozheng");
		Object name = redisTemplate.opsForValue().get("name");
		System.out.println(name.toString());
	}
	
	@Test
	public void test002(){
    
    
		Employee employee = employeeService.get(1);
		redisTemplate.opsForValue().set("emp-01", employee);

	}

	@Test
	public void test004(){
    
    
		Employee employee = employeeService.get(1);
		empRedisTemplate.opsForValue().set("emp-004", employee);

	}

}

总结

这里并不展开讲redisTemplate如何使用，重点在于整合
$你知道的越多，不知道的越多，希望对大家有帮助，谢谢！$