Redis 是一个开源(BSD许可)的,内存中的数据结构存储系统,它可以用作高性能的key-value数据库、缓存和消息中间件,掌握它是程序员的必备技能,下面是一个springboot访问redis的demo。

新建一个springboot项目,这里取名spring-boot-demo

项目结构目录如下

pom.xml文件内容

 <?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion> <groupId>com.carry</groupId>
<artifactId>spring-boot-demo</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging> <name>spring-boot-demo</name>
<description>Demo project for Spring Boot</description> <parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.0.2.RELEASE</version>
<relativePath /> <!-- lookup parent from repository -->
</parent> <properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
<mybatis.version>1.3.2</mybatis.version>
</properties> <dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>${mybatis.version}</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies> <build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<configuration>
<fork>true</fork>
</configuration>
</plugin>
</plugins>
</build> </project>

下面我们来配置redis,因为需要用到mysql数据库,这里使用mybatis访问

application.yml文件内容

 #mybatis配置
mybatis:
mapper-locations: classpath:mapper/*Mapper.xml
type-aliases-package: com.carry.domain
#数据源
spring:
datasource:
url: jdbc:mysql://192.168.68.100:3306/test
driver-class-name: com.mysql.jdbc.Driver
username: root
password: 123456
#jackson时间格式化
jackson:
time-zone: GMT+8
date-format: yyyy-MM-dd HH:mm:ss
#redis配置
redis:
cluster:
nodes: 192.168.68.100:7000,192.168.68.100:7001,192.168.68.101:7000,192.168.68.101:7001,192.168.68.102:7000,192.168.68.102:7001
timeout: 6000ms
password: 123456
lettuce:
pool:
max-active: 8
max-wait: -1ms
max-idle: 8
min-idle: 0
database: 0

新建文件RedisConfig.java,内容如下

 package com.carry.config;

 import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.boot.autoconfigure.AutoConfigureAfter;
import org.springframework.boot.autoconfigure.data.redis.RedisAutoConfiguration;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer; @Configuration
@AutoConfigureAfter(RedisAutoConfiguration.class)
public class RedisConfig { @Bean
public RedisTemplate<String, Object> redisCacheTemplate(LettuceConnectionFactory redisConnectionFactory) {
//redis序列化器
Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<>(Object.class);
ObjectMapper om = new ObjectMapper();
om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(om);
RedisTemplate<String, Object> template = new RedisTemplate<>();
template.setConnectionFactory(redisConnectionFactory);
template.setKeySerializer(jackson2JsonRedisSerializer);
template.setValueSerializer(jackson2JsonRedisSerializer);
template.setHashKeySerializer(jackson2JsonRedisSerializer);
template.setHashValueSerializer(jackson2JsonRedisSerializer);
return template;
}
}

最后在项目启动类SpringBootDemoApplication上加上注解@EnableCaching开启缓存

配置至此结束,下面我们来通过代码来访问redis集群

先写一个访问mysql的mapper,其中只包含一个方法List<User> findAll();

对应SQL语句为select * from user

User实体类跟user表字段一一对应

UserServiceImpl代码内容

 package com.carry.service.impl;

 import java.util.List;

 import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service; import com.carry.domain.User;
import com.carry.mapper.UserMapper;
import com.carry.service.UserService; @Service
public class UserServiceImpl implements UserService { @Autowired
private UserMapper userMapper; @Cacheable(value = "findAll", key = "'test'")
public List<User> findAll() {
System.out.println("如果没打印这句话,说明走了缓存!");
return userMapper.findAll();
}
}

UserController代码内容

 package com.carry.controller;

 import java.util.List;

 import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController; import com.carry.domain.User;
import com.carry.service.UserService; @RestController
public class UserController { @Autowired
private UserService userService; @GetMapping("/getUsers")
public List<User> getUsers(){
return userService.findAll();
} }

最后启动项目在浏览器中访问http://localhost:8080/getUsers

第一次访问控制台输出“如果没打印这句话,说明走了缓存!”

再次访问控制台则没有输出。

我们通过redis-cli连接redis会发现key值是一个很奇怪的值

其实就是我们在@Cacheable注解配的值拼起来的

需要注意的是key的值需要用单引号''引起来不然会报错

最后写了几个test case,读者自己去运行看看控制台会输出什么

 package com.carry;

 import java.util.Date;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.stream.IntStream; import org.junit.Test;
import org.junit.runner.RunWith;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.redis.core.Cursor;
import org.springframework.data.redis.core.DefaultTypedTuple;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ScanOptions;
import org.springframework.data.redis.core.SetOperations;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.data.redis.core.ZSetOperations;
import org.springframework.test.context.junit4.SpringRunner; import com.carry.domain.User; @RunWith(SpringRunner.class)
@SpringBootTest
public class SpringBootDemoApplicationTests { private static final Logger log = LoggerFactory.getLogger(SpringBootDemoApplicationTests.class); @Autowired
private StringRedisTemplate stringRedisTemplate; @Autowired
private RedisTemplate<String, Object> redisCacheTemplate; @Test
public void redisTest() {
ExecutorService executorService = Executors.newFixedThreadPool(1000);
IntStream.range(0, 1000).forEach(i ->
executorService.execute(() -> stringRedisTemplate.opsForValue().increment("kk", 1))
);
} @Test
public void redisTestString() {
stringRedisTemplate.opsForValue().set("carry", "chan");
final String v1 = stringRedisTemplate.opsForValue().get("carry");
log.info("[字符缓存结果] - [{}]", v1);
} @Test
public void redisTestObject() {
//以下只演示整合,具体Redis命令可以参考官方文档,Spring Data Redis 只是改了个名字而已,Redis支持的命令它都支持
String key = "carry:user:1";
ValueOperations<String, Object> valueOperations = redisCacheTemplate.opsForValue();
valueOperations.set(key, new User(1, "carry", new Date(), "longhua"));
//对应 String(字符串)
final User user = (User) valueOperations.get(key);
log.info("[对象缓存结果] - [{}]", user);
} @Test
public void redisTestList() {
ListOperations<String, Object> listOperations = redisCacheTemplate.opsForList();
listOperations.trim("key1", 1, 0);
List<Object> list = listOperations.range("key1", 0, -1);
log.info("[对象缓存结果] - {}", list);
listOperations.leftPush("key1", 1);
listOperations.leftPush("key1", 2);
listOperations.rightPush("key1", 3);
list = listOperations.range("key1", 0, -1);
log.info("[对象缓存结果] - {}", list);
} @Test
public void redisTestHash() {
HashOperations<String, Object, Object> hashOperations = redisCacheTemplate.opsForHash();
hashOperations.put("hkey", "k1", "v1");
hashOperations.put("hkey", "k2", "v2");
hashOperations.put("hkey", "k3", "v3");
Map<Object, Object> map = hashOperations.entries("hkey");
log.info("[对象缓存结果] - [{}]", map);
} @Test
public void redisTestSet() {
SetOperations<String, Object> setOperations = redisCacheTemplate.opsForSet();
setOperations.add("skey", "v1", "v2", "v3", "v4");
Cursor<Object> cursor = setOperations.scan("skey", ScanOptions.NONE);
while (cursor.hasNext()) {
System.out.println(cursor.next());
}
log.info("[对象缓存结果] - [{}]", cursor);
} @Test
public void redisTestZSet() {
ZSetOperations<String, Object> zSetOperations = redisCacheTemplate.opsForZSet();
ZSetOperations.TypedTuple<Object> tuple1 = new DefaultTypedTuple<>("v1", 9.6);
ZSetOperations.TypedTuple<Object> tuple2 = new DefaultTypedTuple<>("v2", 9.9);
Set<ZSetOperations.TypedTuple<Object>> tuples = new HashSet<>();
tuples.add(tuple1);
tuples.add(tuple2);
zSetOperations.add("zkey", tuples);
Set<Object> set = zSetOperations.range("zkey", 0, -1);
log.info("[对象缓存结果] - {}", set);
}
}

SpringBootDemoApplicationTests

Springboot2.0访问Redis集群的更多相关文章

  1. SpringBoot2.0 整合 Redis集群 ,实现消息队列场景

    本文源码:GitHub·点这里 || GitEE·点这里 一.Redis集群简介 1.RedisCluster概念 Redis的分布式解决方案,在3.0版本后推出的方案,有效地解决了Redis分布式的 ...

  2. 模拟安装redis5.0集群并通过Java代码访问redis集群

    在虚拟机上模拟redis5.0的集群,由于redis的投票机制,一个集群至少需要3个redis节点,如果每个节点设置一主一备,一共需要六台虚拟机来搭建集群,此处,在一台虚拟机上使用6个redis实例来 ...

  3. Springboot2.x集成Redis集群模式

    Springboot2.x集成Redis集群模式 说明 Redis集群模式是Redis高可用方案的一种实现方式,通过集群模式可以实现Redis数据多处存储,以及自动的故障转移.如果想了解更多集群模式的 ...

  4. centos7.0 安装redis集群

    生产环境下redis基本上都是用的集群,毕竟单机版随时都可能挂掉,风险太大.这里我就来搭建一个基本的redis集群,功能够用但是还需要完善,当然如果有钱可以去阿里云买云数据库Redis版的,那个还是很 ...

  5. 访问redis集群提示连接超时的问题

    上周在服务器通过docker部署了一个单机版redis集群,今天通过StackExchange.Redis访问的时候报了这个错: 提示我把超时时间设置一下,我去服务器上找到redis的配置文件,发现不 ...

  6. springboot2.x 整合redis集群的几种方式

    一.不指定redis连接池 #系统默认连接池 yml配置文件: spring: redis: cluster: nodes: - 192.168.1.236:7001 - 192.168.1.236: ...

  7. 使用Docker构建redis集群--最靠谱的版本

    1集群结构说明 集群中有三个主节点,三个从节点,一共六个结点.因此要构建六个redis的docker容器.在宿主机中将这六个独立的redis结点关联成一个redis集群.需要用到官方提供的ruby脚本 ...

  8. 如何创建redis集群

    1.下载redis源码包 wget http://download.redis.io/releases/redis-3.2.4.tar.gz 2.解压并安装 tar xvf redis-.tar.gz ...

  9. redis集群搭建及注意事项

    上一篇:redis的安装及注意事项 这里,在一个Linux虚拟机上搭建6个节点的redis伪集群,思路很简单,一台虚拟机上开启6个redis实例,每个redis实例有自己的端口.这样的话,相当于模拟出 ...

随机推荐

  1. HTML5的核心内容

    开发者可以放心地使用html5的理由 兼容性.HTML5在老版本的浏览器可以正常运行,同时支持HTML5的新浏览器也能正常运行HTML4,用HTML4创建出来的网站不是必须全部重建的. 实用性.HTM ...

  2. 学习参考《Python基础教程(第3版)》中文PDF+英文PDF+源代码

    python基础教程ed3: 基础知识 列表和元组 字符串 字典 流程控制 抽象(参数 作用域 递归) 异常 魔术方法/特性/迭代器 模块/标准库 文件 GUI DB 网络编程 测试 扩展python ...

  3. 137 - ZOJ Monthly, November 2014 - J Poker Face

    Poker Face Time Limit: 2 Seconds      Memory Limit: 65536 KB As is known to all, coders are lack of ...

  4. Java 学习(12):重写(Override)与重载(Overload) & 多态

    目录 --- 重写 --- 重载 --- 多态 重写(Override) 重写是子类对父类的允许访问的方法的实现过程进行重新编写, 返回值和形参都不能改变.即外壳不变,核心重写! 重写的好处在于子类可 ...

  5. [Poi] Customize Babel to Build a React App with Poi

    Developing React with Poi is as easy as adding the babel-preset-react-appto a .babelrc and installin ...

  6. 对spring默认的单列模式的理解

    我想大部分朋友对spring的单例模式都比較了解. 什么叫单例模式呢,顾名思义就是无论有多少个请求,都仅仅生成一个实例. 比方在spring中a,b请求都在调用同样的bean ,他们都是调用的同一个b ...

  7. 25.Detours劫持技术

    Detours可以用来实现劫持,他是微软亚洲研究院开发出来的工具,要实现它首先需要安装Detours. 安装地址链接:https://pan.baidu.com/s/1eTolVZs 密码:uy8x ...

  8. express随笔

    Express 是node 第三方框架,框架的意义就在于能大大简化程序地开发.看一下Express是怎么简化node程序开发的. 1,用Express写一个hello world 程序,我们来体验一下 ...

  9. layui图片懒加载-loading占位图

    前言 使用layui的图片懒加载,发现未加载的图片没有loading占位图,显示的是裂图,看着不是很好.找了一些解决方法我统一记录一下. layui图片懒加载使用方法 layui.use(’flow’ ...

  10. CMDB学习之八,完成所有资产采集信息的收集

    #!/usr/bin/env python # -*- coding:utf-8 -*- import traceback from .base import BasePlugin from lib. ...