Redis 从入门到精通【应用篇】之SpringBoot Redis 多数据源集成支持哨兵模式Cluster集群模式、单机模式
文章目录
- [Redis 从入门到精通【应用篇】之SpringBoot Redis 多数据源集成支持哨兵模式Cluster集群模式、单机模式](#Redis 从入门到精通【应用篇】之SpringBoot Redis 多数据源集成支持哨兵模式Cluster集群模式、单机模式)
- 0.前言
- [1. 配置](#1. 配置)
-
-
- [1.1 通用配置()](#1.1 通用配置())
- 连接池相关配置
- [1.2 单例模式配置](#1.2 单例模式配置)
- [1.3 哨兵模式配置](#1.3 哨兵模式配置)
- [1.4 集群模式配置(集群模式不支持设置database)](#1.4 集群模式配置(集群模式不支持设置database))
-
- [2. 代码实例](#2. 代码实例)
-
- 2.1.CustomRedisConfig
-
- [CustomRedisConfig 源码](#CustomRedisConfig 源码)
- [2.2. CustomRedisConfigConstant](#2.2. CustomRedisConfigConstant)
- [2.3封装一个Redis操作类 CustomRedisService](#2.3封装一个Redis操作类 CustomRedisService)
- [2.4 将自动配置导入](#2.4 将自动配置导入)
- 解释
- [3. 使用方式](#3. 使用方式)
- [4. 源码地址](#4. 源码地址)
- [5. Redis从入门到精通系列文章](#5. Redis从入门到精通系列文章)
0.前言
说明
大家都知道Redis在6.0版本之前是单线程工作的,这导致在一个项目中有大量读写操作的情况下,Redis单实例的性能被其他业务长时间占据,导致部分业务出现延迟现象,为了解决这个问题,部分公司项目选择使用多个Redis实例分别存储不同的业务数据和使用场景,比如IoT网关写入的数据,可以单独拆分一个Redis实例去使用,其他业务使用一个Redis实例。用多个Redis实例 可以提高Redis的性能。Redis是一种基于内存的缓存数据库,内存容量是其性能的瓶颈。当项目中的数据量较大时,单个Redis实例可能无法承载所有数据,导致性能下降。而使用多个Redis实例可以将数据分散到多个实例中,从而提高Redis的整体性能。
这就导致在某些业务场景下,一个项目工程,同时要使用这两个Redis实例的数据,这就是本文要解决的问题。
本文通过写一个Redis 多数据源组件 Starter 来解决上面的问题,支持Redis 多数据源,可集成配置哨兵模式、Cluster集群模式、单机模式。如果单实例配置哨兵模式,请参阅我之前的博客 《SpringBoot Redis 使用Lettuce和Jedis配置哨兵模式》
项目结构
Pom 依赖
如下,可能有多余的,根据项目具体情况删减。再就是需要使用Springboot parent
<spring-boot-dependencies.version>2.7.12</spring-boot-dependencies.version>
xml
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-json</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-configuration-processor</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>transmittable-thread-local</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
</dependency>
1. 配置
1.1 通用配置()
设置主redis的标识
很关键
shell
# 示例
custom.primary.redis.key=user
连接池相关配置
此配置为通用配置所有类型的链接模式都可以配置,不配置走Springboot 默认配置。
shell
spring.redis.xxx.timeout = 3000
spring.redis.xxx.maxTotal = 50
spring.redis.xxx.maxIdle = 50
spring.redis.xxx.minIdle = 2
spring.redis.xxx.maxWaitMillis = 10000
spring.redis.xxx.testOnBorrow = False
1.2 单例模式配置
shell
# 第1个Redis 实例 用于用户体系,我们取标识为user
spring.redis.user.host = 127.0.0.1
spring.redis.user.port = 6380
spring.redis.user.password = 密码
spring.redis.user.database = 0
# 第2个Redis 实例用于IoT体系
spring.redis.iot.host = 127.0.0.1
spring.redis.iot.port = 6390
spring.redis.iot.password = 密码
spring.redis.iot.database = 0
# 第3个Redis 实例用于xxx
spring.redis.xxx.host = 127.0.0.1
spring.redis.xxx.port = 6390
spring.redis.xxx.password = 密码
spring.redis.xxx.database = 0
1.3 哨兵模式配置
多个Redis数据库实例的情况下,将下面配置项多配置几个。
shell
spring.redis.xxx1.sentinel.master=mymaster1
spring.redis.xxx1.sentinel.nodes=ip:端口,ip:端口
spring.redis.xxx1.password = bD945aAfeb422E22AbAdFb9D2a22bEDd
spring.redis.xxx1.database = 0
spring.redis.xxx1.timeout = 3000
#第二个
spring.redis.xxx2.sentinel.master=mymaster2
spring.redis.xxx2.sentinel.nodes=ip:端口,ip:端口
spring.redis.xxx2.password = bD945aAfeb422E22AbAdFb9D2a22bEDd
spring.redis.xxx2.database = 0
spring.redis.xxx2.timeout = 3000
1.4 集群模式配置(集群模式不支持设置database)
shell
spring.redis.xxx1.cluster.nodes=ip1:端口,ip2:端口,ip3:端口,ip4:端口,ip5:端口,ip6:端口
spring.redis.xxx1.cluster.max-redirects=5
spring.redis.xxx1.password = 密码
spring.redis.xxx1.timeout = 3000
2. 代码实例
2.1.CustomRedisConfig
根据配置文件配置项,创建Redis多个数据源的RedisTemplate
。
主要思想为,
- 在服务启动过程中读取多数据源配置文件,将多数据源的配置读取到
java
// 定义静态Map变量redis,用于存储Redis配置参数
protected static Map<String, Map<String, String>> redis = new HashMap<>();
- 根据多数据源配置创建不同类型的
Configuration
java
private RedisStandaloneConfiguration buildStandaloneConfig(Map<String, String> param){
//...省略
}
java
private RedisSentinelConfiguration buildSentinelConfig(Map<String, String> param){
//...省略
}
java
private RedisClusterConfiguration buildClusterConfig(Map<String, String> param){
//...省略
}
- 根据 不同类型的创建
RedisConnectionFactory
java
public RedisConnectionFactory buildLettuceConnectionFactory(String redisKey, Map<String, String> param,GenericObjectPoolConfig genericObjectPoolConfig){
...
}
4.最后遍历上面我们配置的配置文件调用buildCustomRedisService(k, redisTemplate, stringRedisTemplate);
将创建的不同的RedisTemplate Bean 然后注入到Spring容器中
CustomRedisConfig 源码
源码中涉及的Springboot 相关知识在此处就不做赘婿,需要了解,可以参考我的《SpringBoot 源码解析系列》
InitializingBean,
ApplicationContextAware
, BeanPostProcessor
java
package com.iceicepip.project.common.redis;
import com.iceicepip.project.common.redis.util.AddressUtils;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.MutablePropertyValues;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.beans.factory.config.BeanPostProcessor;
import org.springframework.beans.factory.config.ConstructorArgumentValues;
import org.springframework.beans.factory.support.DefaultListableBeanFactory;
import org.springframework.beans.factory.support.GenericBeanDefinition;
import org.springframework.boot.autoconfigure.AutoConfiguration;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.ApplicationContext;
import org.springframework.context.ApplicationContextAware;
import org.springframework.context.annotation.Bean;
import org.springframework.core.env.MapPropertySource;
import org.springframework.core.env.StandardEnvironment;
import org.springframework.data.redis.connection.*;
import org.springframework.data.redis.connection.lettuce.LettuceClientConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.time.Duration;
import java.util.*;
@AutoConfiguration
@ConfigurationProperties(prefix = "spring")
public class CustomRedisConfig implements InitializingBean, ApplicationContextAware, BeanPostProcessor {
// 定义静态Map变量redis,用于存储Redis配置参数
protected static Map<String, Map<String, String>> redis = new HashMap<>();
// 在代码中作为Redis的主数据源的标识
@Value("${customer.primary.redis.key}")
private String primaryKey;
@Override
// 实现InitializingBean接口的方法,用于在属性被注入后初始化Redis连接工厂和Redis模板
public void afterPropertiesSet() {
redis.forEach((k, v) -> {
// 如果当前的Redis主键等于注入的主键,则将Redis配置参数加入到属性源中
if(Objects.equals(k,primaryKey)){
Map<String, Object> paramMap = new HashMap<>(4);
v.forEach((k1,v1)-> paramMap.put("spring.redis."+k1,v1));
MapPropertySource mapPropertySource = new MapPropertySource("redisAutoConfigProperty", paramMap);
((StandardEnvironment)applicationContext.getEnvironment()).getPropertySources().addLast(mapPropertySource);
}
// 创建Redis连接池配置对象和连接工厂对象
GenericObjectPoolConfig genericObjectPoolConfig = buildGenericObjectPoolConfig(k, v);
RedisConnectionFactory lettuceConnectionFactory = buildLettuceConnectionFactory(k, v, genericObjectPoolConfig);
// 创建Redis模板对象和字符串模板对象,并调用方法创建自定义Redis服务对象
RedisTemplate redisTemplate = buildRedisTemplate(k, lettuceConnectionFactory);
StringRedisTemplate stringRedisTemplate = buildStringRedisTemplate(k, lettuceConnectionFactory);
buildCustomRedisService(k, redisTemplate, stringRedisTemplate);
});
}
// 创建Redis主数据源 RedisTemplate
@Bean
public RedisTemplate<Object, Object> redisTemplate() {
Map<String, String> redisParam = redis.get(primaryKey);
GenericObjectPoolConfig genericObjectPoolConfig = buildGenericObjectPoolConfig(primaryKey, redisParam);
RedisConnectionFactory lettuceConnectionFactory = buildLettuceConnectionFactory(primaryKey, redisParam, genericObjectPoolConfig);
RedisTemplate<Object, Object> template = new RedisTemplate();
template.setConnectionFactory(lettuceConnectionFactory);
return template;
}
// 创建Redis主数据源 StringRedisTemplate
@Bean
@ConditionalOnMissingBean
public StringRedisTemplate stringRedisTemplate() {
Map<String, String> redisParam = redis.get(primaryKey);
GenericObjectPoolConfig genericObjectPoolConfig = buildGenericObjectPoolConfig(primaryKey, redisParam);
RedisConnectionFactory lettuceConnectionFactory = buildLettuceConnectionFactory(primaryKey, redisParam, genericObjectPoolConfig);
StringRedisTemplate template = new StringRedisTemplate();
template.setConnectionFactory(lettuceConnectionFactory);
return template;
}
// 创建自定义Redis服务对象
private void buildCustomRedisService(String k, RedisTemplate redisTemplate, StringRedisTemplate stringRedisTemplate) {
ConstructorArgumentValues constructorArgumentValues = new ConstructorArgumentValues();
constructorArgumentValues.addIndexedArgumentValue(0, stringRedisTemplate);
constructorArgumentValues.addIndexedArgumentValue(1, redisTemplate);
// 将来使用的时候Redis对象的beanName,区分多个数据源
setCosBean(k + "Redis", CustomRedisService.class, constructorArgumentValues);
}
// 创建StringRedisTemplate
private StringRedisTemplate buildStringRedisTemplate(String k, RedisConnectionFactory lettuceConnectionFactory) {
ConstructorArgumentValues constructorArgumentValues = new ConstructorArgumentValues();
constructorArgumentValues.addIndexedArgumentValue(0, lettuceConnectionFactory);
setCosBean(k + "StringRedisTemplate", StringRedisTemplate.class, constructorArgumentValues);
return getBean(k + "StringRedisTemplate");
}
// 创建Redis模板对象
private RedisTemplate buildRedisTemplate(String k, RedisConnectionFactory lettuceConnectionFactory) {
// 如果已经存在Redis模板对象,则直接返回该对象
if(applicationContext.containsBean(k + "RedisTemplate")){
return getBean(k + "RedisTemplate");
}
// 创建Redis序列化器对象
Jackson2JsonRedisSerializer serializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper mapper = new ObjectMapper();
mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
mapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
serializer.setObjectMapper(mapper);
// 创建Redis模板对象,并设置连接池配置和序列化器等属性
Map original = new HashMap<>(2);
original.put("connectionFactory", lettuceConnectionFactory);
original.put("valueSerializer", serializer);
original.put("keySerializer", new StringRedisSerializer());
original.put("hashKeySerializer", new StringRedisSerializer());
original.put("hashValueSerializer", serializer);
// 将来使用RedisTemplate的地方只需要用注解制定beanName 即可获取到每个Redis实例的操作工具类
setBean(k + "RedisTemplate", RedisTemplate.class, original);
return getBean(k + "RedisTemplate");
}
}
public GenericObjectPoolConfig buildGenericObjectPoolConfig(String redisKey, Map<String, String> param) {
if(applicationContext.containsBean(redisKey + "GenericObjectPoolConfig")){
return getBean(redisKey + "GenericObjectPoolConfig");
}
Integer maxIdle = StringUtils.isEmpty(param.get(CustomRedisConfigConstant.REDIS_MAXIDLE)) ? GenericObjectPoolConfig.DEFAULT_MAX_IDLE : Integer.valueOf(param.get(CustomRedisConfigConstant.REDIS_MAXIDLE));
Integer minIdle = StringUtils.isEmpty(param.get(CustomRedisConfigConstant.REDIS_MINIDLE)) ? GenericObjectPoolConfig.DEFAULT_MIN_IDLE : Integer.valueOf(param.get(CustomRedisConfigConstant.REDIS_MINIDLE));
Integer maxTotal = StringUtils.isEmpty(param.get(CustomRedisConfigConstant.REDIS_MAXTOTAL)) ? GenericObjectPoolConfig.DEFAULT_MAX_TOTAL : Integer.valueOf(param.get(CustomRedisConfigConstant.REDIS_MAXTOTAL));
Long maxWaitMillis = StringUtils.isEmpty(param.get(CustomRedisConfigConstant.REDIS_MAXWAITMILLIS)) ? -1L:Long.valueOf(param.get(CustomRedisConfigConstant.REDIS_MAXWAITMILLIS));
Boolean testOnBorrow = StringUtils.isEmpty(param.get(CustomRedisConfigConstant.REDIS_TESTONBORROW)) ? Boolean.FALSE :Boolean.valueOf(param.get(CustomRedisConfigConstant.REDIS_TESTONBORROW));
Map original = new HashMap<>(8);
original.put("maxTotal", maxTotal);
original.put("maxIdle", maxIdle);
original.put("minIdle", minIdle);
original.put("maxWaitMillis",maxWaitMillis);
original.put("testOnBorrow",testOnBorrow);
setBean(redisKey + "GenericObjectPoolConfig", GenericObjectPoolConfig.class, original);
return getBean(redisKey + "GenericObjectPoolConfig");
}
public RedisConnectionFactory buildLettuceConnectionFactory(String redisKey, Map<String, String> param,GenericObjectPoolConfig genericObjectPoolConfig){
if(applicationContext.containsBean(redisKey + "redisConnectionFactory")){
return getBean(redisKey + "redisConnectionFactory");
}
String timeout = StringUtils.defaultIfEmpty(param.get(CustomRedisConfigConstant.REDIS_TIMEOUT), "3000");
LettuceClientConfiguration clientConfig = LettucePoolingClientConfiguration.builder()
.commandTimeout(Duration.ofMillis(Long.valueOf(timeout)))
.poolConfig(genericObjectPoolConfig)
.build();
Object firstArgument = null;
if(this.isCluster(param)){
RedisClusterConfiguration clusterConfiguration = buildClusterConfig(param);
firstArgument = clusterConfiguration;
}
else if(this.isSentinel(param)){
RedisSentinelConfiguration sentinelConfiguration = buildSentinelConfig(param);
firstArgument = sentinelConfiguration;
}
else{
RedisStandaloneConfiguration standaloneConfiguration = buildStandaloneConfig(param);
firstArgument = standaloneConfiguration;
}
ConstructorArgumentValues constructorArgumentValues = new ConstructorArgumentValues();
constructorArgumentValues.addIndexedArgumentValue(0, firstArgument);
constructorArgumentValues.addIndexedArgumentValue(1, clientConfig);
setCosBean(redisKey + "redisConnectionFactory", LettuceConnectionFactory.class, constructorArgumentValues);
return getBean(redisKey +"redisConnectionFactory");
}
/**
* 如果配置的是哨兵模式
* @return
*/
private boolean isSentinel(Map<String, String> param){
String sentinelMaster = param.get(CustomRedisConfigConstant.REDIS_SENTINEL_MASTER);
String sentinelNodes = param.get(CustomRedisConfigConstant.REDIS_SENTINEL_NODES);
return StringUtils.isNotEmpty(sentinelMaster) && StringUtils.isNotEmpty(sentinelNodes);
}
/**
* 如果配置的是集群模式
* @return
*/
private boolean isCluster(Map<String, String> param){
String clusterNodes = param.get(CustomRedisConfigConstant.REDIS_CLUSTER_NODES);
return StringUtils.isNotEmpty(clusterNodes);
}
private RedisStandaloneConfiguration buildStandaloneConfig(Map<String, String> param){
String host = param.get(CustomRedisConfigConstant.REDIS_HOST);
String port = param.get(CustomRedisConfigConstant.REDIS_PORT);
String database = param.get(CustomRedisConfigConstant.REDIS_DATABASE);
String password = param.get(CustomRedisConfigConstant.REDIS_PASSWORD);
RedisStandaloneConfiguration standaloneConfig = new RedisStandaloneConfiguration();
standaloneConfig.setHostName(host);
standaloneConfig.setDatabase(Integer.valueOf(database));
standaloneConfig.setPort(Integer.valueOf(port));
standaloneConfig.setPassword(RedisPassword.of(password));
return standaloneConfig;
}
private RedisSentinelConfiguration buildSentinelConfig(Map<String, String> param){
String sentinelMaster = param.get(CustomRedisConfigConstant.REDIS_SENTINEL_MASTER);
String sentinelNodes = param.get(CustomRedisConfigConstant.REDIS_SENTINEL_NODES);
String database = param.get(CustomRedisConfigConstant.REDIS_DATABASE);
String password = param.get(CustomRedisConfigConstant.REDIS_PASSWORD);
RedisSentinelConfiguration config = new RedisSentinelConfiguration();
config.setMaster(sentinelMaster);
Iterable<AddressUtils.Address> addressIterable = AddressUtils.parseAddresses(sentinelNodes);
Iterable<RedisNode> redisNodes = transform(addressIterable);
config.setDatabase(Integer.valueOf(database));
config.setPassword(RedisPassword.of(password));
config.setSentinels(redisNodes);
return config;
}
private RedisClusterConfiguration buildClusterConfig(Map<String, String> param){
String clusterNodes = param.get(CustomRedisConfigConstant.REDIS_CLUSTER_NODES);
String clusterMaxRedirects = param.get(CustomRedisConfigConstant.REDIS_CLUSTER_MAX_REDIRECTS);
String password = param.get(CustomRedisConfigConstant.REDIS_PASSWORD);
RedisClusterConfiguration config = new RedisClusterConfiguration();
Iterable<AddressUtils.Address> addressIterable = AddressUtils.parseAddresses(clusterNodes);
Iterable<RedisNode> redisNodes = transform(addressIterable);
config.setClusterNodes(redisNodes);
config.setMaxRedirects(StringUtils.isEmpty(clusterMaxRedirects) ? 5 : Integer.valueOf(clusterMaxRedirects));
config.setPassword(RedisPassword.of(password));
return config;
}
private Iterable<RedisNode> transform(Iterable<AddressUtils.Address> addresses){
List<RedisNode> redisNodes = new ArrayList<>();
addresses.forEach( address -> redisNodes.add(new RedisServer(address.getHost(), address.getPort())));
return redisNodes;
}
private static ApplicationContext applicationContext;
public Map<String, Map<String, String>> getRedis() {
return redis;
}
/**
* 实现ApplicationContextAware接口的context注入函数, 将其存入静态变量.
*/
@Override
public void setApplicationContext(ApplicationContext applicationContext) {
CustomRedisConfig.applicationContext = applicationContext;
}
private static void checkApplicationContext() {
if (applicationContext == null) {
throw new IllegalStateException("applicaitonContext未注入,请在applicationContext.xml中定义SpringContextUtil");
}
}
/**
* 从静态变量ApplicationContext中取得Bean, 自动转型为所赋值对象的类型.
*/
@SuppressWarnings("unchecked")
public static <T> T getBean(String name) {
checkApplicationContext();
if (applicationContext.containsBean(name)) {
return (T) applicationContext.getBean(name);
}
return null;
}
/**
* 删除spring中管理的bean
*
* @param beanName
*/
public static void removeBean(String beanName) {
DefaultListableBeanFactory acf = (DefaultListableBeanFactory) applicationContext.getAutowireCapableBeanFactory();
acf.removeBeanDefinition(beanName);
}
/**
* 同步方法注册bean到ApplicationContext中
*
* @param beanName
* @param clazz
* @param original bean的属性值
*/
public synchronized void setBean(String beanName, Class<?> clazz, Map<String, Object> original) {
checkApplicationContext();
DefaultListableBeanFactory beanFactory = (DefaultListableBeanFactory) applicationContext.getAutowireCapableBeanFactory();
if (beanFactory.containsBean(beanName)) {
return;
}
GenericBeanDefinition definition = new GenericBeanDefinition();
//类class
definition.setBeanClass(clazz);
if(beanName.startsWith(primaryKey)){
definition.setPrimary(true);
}
//属性赋值
definition.setPropertyValues(new MutablePropertyValues(original));
//注册到spring上下文
beanFactory.registerBeanDefinition(beanName, definition);
}
public synchronized void setCosBean(String beanName, Class<?> clazz, ConstructorArgumentValues original) {
checkApplicationContext();
DefaultListableBeanFactory beanFactory = (DefaultListableBeanFactory) applicationContext.getAutowireCapableBeanFactory();
//这里重要
if (beanFactory.containsBean(beanName)) {
return;
}
GenericBeanDefinition definition = new GenericBeanDefinition();
//类class
definition.setBeanClass(clazz);
if(beanName.startsWith(primaryKey)){
definition.setPrimary(true);
}
//属性赋值
definition.setConstructorArgumentValues(new ConstructorArgumentValues(original));
//注册到spring上下文
beanFactory.registerBeanDefinition(beanName, definition);
}
}
2.2. CustomRedisConfigConstant
定义常用配置项的键名
java
package com.iceicepip.project.common.redis;
public class CustomRedisConfigConstant {
private CustomRedisConfigConstant() {
}
public static final String REDIS_HOST = "host";
public static final String REDIS_PORT = "port";
public static final String REDIS_TIMEOUT = "timeout";
public static final String REDIS_DATABASE = "database";
public static final String REDIS_PASSWORD = "password";
public static final String REDIS_MAXWAITMILLIS = "maxWaitMillis";
public static final String REDIS_MAXIDLE = "maxIdle";
public static final String REDIS_MINIDLE = "minIdle";
public static final String REDIS_MAXTOTAL = "maxTotal";
public static final String REDIS_TESTONBORROW = "testOnBorrow";
public static final String REDIS_SENTINEL_MASTER = "sentinel.master";
public static final String REDIS_SENTINEL_NODES = "sentinel.nodes";
public static final String REDIS_CLUSTER_NODES = "cluster.nodes";
public static final String REDIS_CLUSTER_MAX_REDIRECTS = "cluster.max-redirects";
public static final String BEAN_NAME_SUFFIX = "Redis";
public static final String INIT_METHOD_NAME = "getInit";
}
2.3封装一个Redis操作类 CustomRedisService
java
package com.iceicepip.project.common.redis;
import com.alibaba.ttl.TransmittableThreadLocal;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.aop.framework.Advised;
import org.springframework.aop.support.AopUtils;
import org.springframework.beans.factory.NoSuchBeanDefinitionException;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.ApplicationContext;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.connection.RedisStringCommands;
import org.springframework.data.redis.connection.ReturnType;
import org.springframework.data.redis.connection.StringRedisConnection;
import org.springframework.data.redis.core.*;
import org.springframework.data.redis.core.types.Expiration;
import javax.annotation.Resource;
import java.nio.charset.StandardCharsets;
import java.util.*;
import java.util.concurrent.TimeUnit;
import java.util.function.Function;
import java.util.function.Supplier;
public class CustomRedisService {
private static final Logger logger = LoggerFactory.getLogger(CustomRedisService.class);
private StringRedisTemplate stringRedisTemplate;
private RedisTemplate redisTemplate;
@Value("${distribute.lock.MaxSeconds:100}")
private Integer lockMaxSeconds;
private static Long LOCK_WAIT_MAX_TIME = 120000L;
@Resource
private ApplicationContext applicationContext;
/**
* 保存锁的value
*/
private TransmittableThreadLocal<String> redisLockReentrant = new TransmittableThreadLocal<>();
/**
* 解锁lua脚本
*/
private static final String RELEASE_LOCK_SCRIPT = "if redis.call('get', KEYS[1]) == ARGV[1] then return redis.call('del', KEYS[1]) else return 0 end";
/**
* redis锁固定前缀
*/
private static final String REDIS_LOCK_KEY_PREFIX = "xxx:redisLock";
/**
* redis nameSpace
*/
private static final String REDIS_NAMESPACE_PREFIX = ":";
@Value("${spring.application.name}")
private String appName;
public CustomRedisService() {
}
public CustomRedisService(StringRedisTemplate stringRedisTemplate, RedisTemplate redisTemplate) {
this.stringRedisTemplate = stringRedisTemplate;
this.redisTemplate = redisTemplate;
}
public StringRedisTemplate getStringRedisTemplate() {
return stringRedisTemplate;
}
public RedisTemplate getRedisTemplate() {
return redisTemplate;
}
//以下是操作
public void saveOrUpdate(HashMap<String, String> values) throws Exception {
ValueOperations<String, String> valueOps = stringRedisTemplate
.opsForValue();
valueOps.multiSet(values);
}
public void saveOrUpdate(String key, String value) throws Exception {
ValueOperations<String, String> valueOps = stringRedisTemplate
.opsForValue();
valueOps.set(key, value);
}
public String getValue(String key) throws Exception {
ValueOperations<String, String> valueOps = stringRedisTemplate
.opsForValue();
return valueOps.get(key);
}
public void setValue(String key, String value) throws Exception {
ValueOperations<String, String> valueOps = stringRedisTemplate
.opsForValue();
valueOps.set(key, value);
}
public void setValue(String key, String value, long timeout, TimeUnit unit) throws Exception {
ValueOperations<String, String> valueOps = stringRedisTemplate
.opsForValue();
valueOps.set(key, value, timeout, unit);
}
public List<String> getValues(Collection<String> keys) throws Exception {
ValueOperations<String, String> valueOps = stringRedisTemplate
.opsForValue();
return valueOps.multiGet(keys);
}
public void delete(String key) throws Exception {
stringRedisTemplate.delete(key);
}
public void delete(Collection<String> keys) throws Exception {
stringRedisTemplate.delete(keys);
}
public void addSetValues(String key, String... values) throws Exception {
SetOperations<String, String> setOps = stringRedisTemplate.opsForSet();
setOps.add(key, values);
}
public Set<String> getSetValues(String key) throws Exception {
SetOperations<String, String> setOps = stringRedisTemplate.opsForSet();
return setOps.members(key);
}
public String getSetRandomMember(String key) throws Exception {
SetOperations<String, String> setOps = stringRedisTemplate.opsForSet();
return setOps.randomMember(key);
}
public void delSetValues(String key, Object... values) throws Exception {
SetOperations<String, String> setOps = stringRedisTemplate.opsForSet();
setOps.remove(key, values);
}
public Long getZsetValuesCount(String key) throws Exception {
return stringRedisTemplate.opsForSet().size(key);
}
public void addHashSet(String key, HashMap<String, String> args)
throws Exception {
HashOperations<String, String, String> hashsetOps = stringRedisTemplate
.opsForHash();
hashsetOps.putAll(key, args);
}
public Map<String, String> getHashSet(String key) throws Exception {
HashOperations<String, String, String> hashsetOps = stringRedisTemplate
.opsForHash();
return hashsetOps.entries(key);
}
public Map<byte[], byte[]> getHashByteSet(String key) throws Exception {
RedisConnection connection = null;
try {
connection = redisTemplate.getConnectionFactory().getConnection();
return connection.hGetAll(key.getBytes());
} catch (Exception e) {
throw new Exception(e);
} finally {
if (Objects.nonNull(connection) && !connection.isClosed()) {
connection.close();
}
}
}
public List<byte[]> getHashMSet(byte[] key, byte[][] fields) throws Exception {
return stringRedisTemplate.getConnectionFactory().getConnection().hMGet(key, fields);
}
/**
* 设备hash中的值
*
* @param key
* @param field
* @param vaule
* @return
* @throws Exception
*/
public Boolean setHashMSet(byte[] key, byte[] field, byte[] vaule) throws Exception {
return stringRedisTemplate.getConnectionFactory().getConnection().hSet(key, field, vaule);
}
/**
* 采用Pipeline方式获取多个Key的数据
*
* @param keys Key数组
* @param fields Hash对象的二级Key
* @return 结果数组,每个Object对象为List<byte[]>,使用时需判断是否为null
* @throws Exception
*/
public List<Object> getHashMSet(byte[][] keys, byte[][] fields) throws Exception {
if (keys == null || keys.length == 0 || fields == null || fields.length == 0) {
return null;
}
RedisConnection connection = stringRedisTemplate.getConnectionFactory().getConnection();
try {
connection.openPipeline();
for (byte[] key : keys) {
connection.hMGet(key, fields);
}
return connection.closePipeline();
} finally {
if (!connection.isClosed()) {
connection.close();
}
}
}
/**
* 采用Pipeline方式获取多个Key的数据
*
* @param keys Key数组
* @param field Hash对象的二级Key
* @return 结果数组,每个Object对象为List<byte[]>,使用时需判断是否为null
* @throws Exception
*/
public List<Object> getHashMSet(byte[][] keys, byte[] field) throws Exception {
if (keys == null || keys.length == 0 || field == null) {
return null;
}
RedisConnection connection = stringRedisTemplate.getConnectionFactory().getConnection();
try {
connection.openPipeline();
for (byte[] key : keys) {
connection.hGet(key, field);
}
return connection.closePipeline();
} finally {
if (!connection.isClosed()) {
connection.close();
}
}
}
/**
* 采用Pipeline方式获取多个Key的数据
*
* @param keys Key数组
* @return 结果数组,每个Object对象为List<byte[]>,使用时需判断是否为null
* @throws Exception
*/
public List<Object> getHashMSet(byte[][] keys) throws Exception {
if (keys == null || keys.length == 0) {
return null;
}
RedisConnection connection = stringRedisTemplate.getConnectionFactory().getConnection();
try {
connection.openPipeline();
for (byte[] key : keys) {
connection.hGetAll(key);
}
return connection.closePipeline();
} finally {
if (!connection.isClosed()) {
connection.close();
}
}
}
/**
* 删除批量string
*
* @param keys Key数组
*/
public void deleteAllStringValues(byte[][] keys) {
if (keys == null || keys.length == 0) {
return;
}
RedisConnection connection = stringRedisTemplate.getConnectionFactory().getConnection();
try {
connection.openPipeline();
for (byte[] key : keys) {
connection.del(key);
}
connection.closePipeline();
} finally {
if (!connection.isClosed()) {
connection.close();
}
}
}
public List<String> getHashMSet(String key, List<String> fields) throws Exception {
HashOperations<String, String, String> hashsetOps = stringRedisTemplate
.opsForHash();
return hashsetOps.multiGet(key, fields);
}
public List<byte[]> getHashByteMSet(String key, byte[]... fields) throws Exception {
// HashOperations<String, String, byte[]> hashsetOps = stringRedisTemplate
// .opsForHash();
// return hashsetOps.multiGet(key, fields);
RedisConnection connection = null;
try {
connection = redisTemplate.getConnectionFactory().getConnection();
return connection.hMGet(key.getBytes(), fields);
} catch (Exception e) {
throw new Exception(e);
} finally {
if (Objects.nonNull(connection) && !connection.isClosed()) {
connection.close();
}
}
}
public void delHashSetValues(String key, Object... values) throws Exception {
HashOperations<String, String, String> hashsetOps = stringRedisTemplate
.opsForHash();
hashsetOps.delete(key, values);
}
public void addZset(String key, String value, double score)
throws Exception {
ZSetOperations<String, String> zSetOps = stringRedisTemplate
.opsForZSet();
zSetOps.add(key, value, score);
}
public Set<String> getZsetValues(String key) throws Exception {
return null;
}
public void delZsetValues(String key, Object... values) throws Exception {
ZSetOperations<String, String> zSetOps = stringRedisTemplate
.opsForZSet();
zSetOps.remove(key, values);
}
public String getHashByKey(String redisKey, String mapKey) throws Exception {
HashOperations<String, String, String> hashsetOps = stringRedisTemplate.opsForHash();
return hashsetOps.get(redisKey, mapKey);
}
public byte[] getHashByteByKey(String redisKey, String mapKey) throws Exception {
RedisConnection connection = null;
try {
connection = redisTemplate.getConnectionFactory().getConnection();
return connection.hGet(redisKey.getBytes(), mapKey.getBytes());
} catch (Exception e) {
throw new Exception(e);
} finally {
if (Objects.nonNull(connection) && !connection.isClosed()) {
connection.close();
}
}
// HashOperations<String, String, byte[]> hashsetOps = stringRedisTemplate.opsForHash();
// return hashsetOps.get(redisKey, mapKey);
}
public Map<byte[], byte[]> getHashByte(String redisKey) throws Exception {
RedisConnection connection = null;
try {
connection = redisTemplate.getConnectionFactory().getConnection();
return connection.hGetAll(redisKey.getBytes());
} catch (Exception e) {
throw new Exception(e);
} finally {
if (Objects.nonNull(connection) && !connection.isClosed()) {
connection.close();
}
}
}
public void addHashSet(String redisKey, String mapKey, String mapValue)
throws Exception {
stringRedisTemplate.opsForHash().put(redisKey, mapKey, mapValue);
}
public Set<String> getSet(String key) throws Exception {
SetOperations<String, String> setOperations = stringRedisTemplate.opsForSet();
return setOperations.members(key);
}
public void addSetValuesPipelined(final String[] keys, final String value) throws Exception {
stringRedisTemplate.executePipelined(new RedisCallback<Object>() {
@Override
public Object doInRedis(RedisConnection connection) {
StringRedisConnection stringRedisConn = (StringRedisConnection) connection;
for (int i = 0; i < keys.length; i++) {
stringRedisConn.sAdd(keys[i], value);
}
//必须返回null
return null;
}
});
}
public void delSetValuesPipelined(final String[] keys, final String value) throws Exception {
stringRedisTemplate.executePipelined(new RedisCallback<Object>() {
@Override
public Object doInRedis(RedisConnection connection) {
StringRedisConnection stringRedisConn = (StringRedisConnection) connection;
for (int i = 0; i < keys.length; i++) {
stringRedisConn.sRem(keys[i], value);
}
//必须返回null
return null;
}
});
}
public void delHashByKey(String redisKey, String mapKey) throws Exception {
HashOperations<String, String, String> hashMapOps = stringRedisTemplate.opsForHash();
hashMapOps.delete(redisKey, mapKey);
}
public Boolean hasKey(String key) throws Exception {
return stringRedisTemplate.hasKey(key);
}
/**
* 设置用户其他类的缓存
*
* @param key
* @param field hash结构的field
* @param data 需要存的数据
* @param timeOut 超时时间
* @param unit 时间单位
*/
public void setHashOther(String key, String field, String data, long timeOut, TimeUnit unit) {
stringRedisTemplate.opsForHash().put(key, field, data);
stringRedisTemplate.expire(key, timeOut, unit);
}
/**
* 返回用户的其他缓存
*
* @param key
* @param field hash结构的field
* @return String
* @throws Exception
*/
public String getHashOther(String key, String field) throws Exception {
return this.getHashByKey(key, field);
}
/**
* 2019-2-20 changyandong 新增incr方法,设置过期时间
*
* @param key
* @param delta
* @param timeout
* @param unit
* @return
*/
public Long increment(final String key, final int delta, final long timeout,
final TimeUnit unit) {
if (timeout <= 0 || unit == null) {
return stringRedisTemplate.opsForValue().increment(key, delta);
}
List<Object> result = stringRedisTemplate
.executePipelined(new SessionCallback<Object>() {
@Override
public <K, V> Object execute(
RedisOperations<K, V> operations)
throws DataAccessException {
ValueOperations<K, V> ops = operations.opsForValue();
ops.increment((K) key, delta);
operations.expire((K) key, timeout, unit);
return null;
}
});
return (Long) result.get(0);
}
/**
* 管道增加hash结构
*/
public void addHashValuesPipelined(Map<String, Map<String, String>> keys) {
stringRedisTemplate.executePipelined((RedisCallback<Object>) connection -> {
StringRedisConnection stringRedisConn = (StringRedisConnection) connection;
keys.forEach(stringRedisConn::hMSet);
//必须返回null
return null;
});
}
/**
* 管道增加hash结构 删除老hash结构
*/
public void addHashValuesPipelinedRemoveOldHash(Map<String, Map<String, String>> keys) {
stringRedisTemplate.executePipelined((RedisCallback<Object>) connection -> {
StringRedisConnection stringRedisConn = (StringRedisConnection) connection;
stringRedisConn.del(keys.keySet().toArray(new String[0]));
keys.forEach(stringRedisConn::hMSet);
//必须返回null
return null;
});
}
/**
* 分布式锁模板方法
*
* @param businessKey 业务key
* @param callbackFunction 回调方法
* @param s 回调方法具体入参
* @param <S> 回调方法入参类型
* @param <T> 回调方法返回值类型
* @return 回调方法返回值
*/
public <S, T> T redisLockCallback(String businessKey, Function<S, T> callbackFunction, S s) {
try {
redisLock(businessKey);
return callbackFunction.apply(s);
} finally {
redisUnLock(businessKey);
}
}
public <T> T redisLockSupplier(String businessKey, Supplier<T> supplier) {
return redisLockSupplier(businessKey, supplier, lockMaxSeconds, LOCK_WAIT_MAX_TIME, TimeUnit.SECONDS);
}
public <T> T redisLockSupplier(String businessKey, Supplier<T> supplier, long lockMaxTime, long tryTimeout, TimeUnit timeUnit) {
try {
redisLock(businessKey, lockMaxTime, tryTimeout, timeUnit);
return supplier.get();
} finally {
redisUnLock(businessKey);
}
}
/**
* 获取锁(不等待,直接返回 是否获取到锁资源)
*
* @param businessKey 业务key
* @return 是否获取到锁资源
*/
public boolean redisLockSuspend(String businessKey) {
return redisLockSuspend(businessKey, lockMaxSeconds, TimeUnit.SECONDS);
}
/**
* 获取锁(不等待,直接返回 是否获取到锁资源)
* @param businessKey 业务key
* @param lockMaxTime 锁占用时长
* @param timeUnit 时间单位
* @return 是否获取锁资源
*/
public boolean redisLockSuspend(String businessKey, long lockMaxTime, TimeUnit timeUnit) {
String lockKey = generateLockKey(businessKey);
long finalLockMaxTime = timeUnit.toMillis(lockMaxTime);
//可重入锁判断
if (isReentrantLock(lockKey)) {
return Boolean.TRUE;
}
RedisCallback<Boolean> callback = (connection) -> connection.set(
lockKey.getBytes(StandardCharsets.UTF_8),
businessKey.getBytes(StandardCharsets.UTF_8),
Expiration.milliseconds(finalLockMaxTime),
RedisStringCommands.SetOption.SET_IF_ABSENT);
return stringRedisTemplate.execute(callback);
}
/**
* @param keyPrefix redis锁 key前缀
* @param key key
* @param tryTimeout 超时时间
* @param timeUnit 时间单位
* @return 是否获取到锁资源
*/
@Deprecated
public boolean redisLock(String keyPrefix, String key, long lockMaxTime, long tryTimeout, TimeUnit timeUnit) {
String businessKey = getLockKey(keyPrefix, key);
return redisLock(businessKey, lockMaxTime, tryTimeout, timeUnit);
}
public boolean redisLock(String businessKey, long lockMaxTime, long tryTimeout, TimeUnit timeUnit) {
tryTimeout = System.currentTimeMillis() + timeUnit.toMillis(tryTimeout);
lockMaxTime = timeUnit.toMillis(lockMaxTime);
return redisLock(businessKey, lockMaxTime, tryTimeout);
}
/**
* 获取redis分布式锁 (默认超时时间)
*
* @param keyPrefix redis锁 key前缀
* @param key key
* @return 是否获取到锁资源
*/
@Deprecated
public boolean redisLock(String keyPrefix, String key) {
String businessKey = getLockKey(keyPrefix, key);
return redisLock(businessKey);
}
public boolean redisLock(String businessKey) {
long endTime = System.currentTimeMillis() + LOCK_WAIT_MAX_TIME;
long lockMaxTime = TimeUnit.SECONDS.toMillis(this.lockMaxSeconds);
return redisLock(businessKey, lockMaxTime, endTime);
}
/**
* 获取redis分布式锁 (默认超时时间)
* @param businessKey 业务key
* @param lockMaxTime 锁占用时长
* @param endTime 结束时间
* @return 是否获取到锁资源
*/
private boolean redisLock(String businessKey, long lockMaxTime, long endTime) {
String lockKey = generateLockKey(businessKey);
logger.debug("redisLock businessKey:{}, lockKey:{}, lockMaxTime:{}, endTime:{}", businessKey, lockKey, lockMaxTime, endTime);
//可重入锁判断
if (isReentrantLock(lockKey)) {
logger.debug("redisLock lockKey:{}, threadName:{}, isReentrantLock true", lockKey, Thread.currentThread().getName());
return Boolean.TRUE;
}
RedisCallback<Boolean> callback = (connection) -> connection.set(
lockKey.getBytes(StandardCharsets.UTF_8),
businessKey.getBytes(StandardCharsets.UTF_8),
Expiration.milliseconds(lockMaxTime),
RedisStringCommands.SetOption.SET_IF_ABSENT);
//在timeout时间内仍未获取到锁,则获取失败
while (System.currentTimeMillis() < endTime) {
if (stringRedisTemplate.execute(callback)) {
redisLockReentrant.set(lockKey);
logger.debug("redisLock getKey lockKey:{}, ", lockKey);
return true;
}
try {
Thread.sleep(100);
} catch (InterruptedException e) {
logger.error("获取redis分布式锁出错", e);
Thread.currentThread().interrupt();
}
}
logger.debug("redisLock meiyoukey lockKey:{}, ", lockKey);
return false;
}
/**
* 释放分布式锁
*
* @param keyPrefix redis锁 key前缀
* @param key key
*/
@Deprecated
public Boolean redisUnLock(String keyPrefix, String key) {
String lockKey = getLockKey(keyPrefix, key);
return redisUnLock(lockKey);
}
public Boolean redisUnLock(String businessKey) {
String lockKey = generateLockKey(businessKey);
RedisCallback<Boolean> callback = (connection) -> connection.eval(
RELEASE_LOCK_SCRIPT.getBytes(),
ReturnType.BOOLEAN, 1,
lockKey.getBytes(StandardCharsets.UTF_8),
businessKey.getBytes(StandardCharsets.UTF_8));
//清空 ThreadLocal
redisLockReentrant.remove();
Boolean execute = stringRedisTemplate.execute(callback);
logger.debug("redisUnLock execute lockKey:{}, ", lockKey);
return execute;
}
private String getLockKey(String keyPrefix, String key) {
return keyPrefix + "-" + key;
}
/**
* 是否为重入锁
*/
private boolean isReentrantLock(String lockKey) {
String originValue = redisLockReentrant.get();
String redisValue = stringRedisTemplate.opsForValue().get(lockKey);
return StringUtils.isNotBlank(originValue) && originValue.equals(redisValue);
}
/**
* 生成规则要求的 key
* xxx:redisLock:${appName}:${classSimpleName}:${methodName}:${businessKey}
* @param businessKey 业务key
* @return key
*/
private String generateLockKey(String businessKey) {
StackTraceElement[] stackTrace = Thread.currentThread().getStackTrace();
String classSimpleName = StringUtils.EMPTY;
String methodName = StringUtils.EMPTY;
for (StackTraceElement traceElement : stackTrace) {
String itemClassName = traceElement.getClassName();
//如果是当前类或者stack类 continue;
if (itemClassName.equals(this.getClass().getName()) || itemClassName.equals(StackTraceElement.class.getName())) {
continue;
}
char[] cs=itemClassName.substring(itemClassName.lastIndexOf(".")+1).toCharArray();
cs[0]+=32;
//一直找,找到被spring管理的类。
Object target;
try {
target = applicationContext.getBean(String.valueOf(cs));
} catch (NoSuchBeanDefinitionException e) {
continue;
}
//如果是代理类,找到实际类
if (AopUtils.isAopProxy(target) && target instanceof Advised) {
Advised advised = (Advised) target;
try {
target = advised.getTargetSource().getTarget();
} catch (Exception e) {
continue;
}
}
if (Objects.nonNull(target)) {
classSimpleName = target.getClass().getSimpleName();
methodName = traceElement.getMethodName();
break;
}
}
return REDIS_LOCK_KEY_PREFIX.concat(REDIS_NAMESPACE_PREFIX).concat(appName.toLowerCase())
.concat(REDIS_NAMESPACE_PREFIX).concat(classSimpleName)
.concat(REDIS_NAMESPACE_PREFIX).concat(methodName)
.concat(REDIS_NAMESPACE_PREFIX).concat(businessKey);
}
}
2.4 将自动配置导入
在工程目录中创建 common-redis-lettuce/src/main/resources/META-INF/spring
创建文件名为
org.springframework.boot.autoconfigure.AutoConfiguration.imports
文件
文件内容:
bash
com.iceicepip.project.common.redis.CustomRedisConfig
解释
在工程目录中创建 common-redis-lettuce/src/main/resources/META-INF/spring
目录,并在该目录下创建一个名为 org.springframework.boot.autoconfigure.AutoConfiguration.imports
的文件。该文件的作用是指示 Spring Boot 在自动配置期间需要导入哪些额外的配置类。
在 org.springframework.boot.autoconfigure.AutoConfiguration.imports
文件中,可以添加需要导入的其他配置类的全限定类名。例如,如果我们需要在自动配置期间导入一个名为 CustomRedisConfig
的配置类,可以在该文件中添加以下内容:
shell
com.iceicepip.project.common.redis.CustomRedisConfig
这样,在应用程序启动时,Spring Boot 会自动加载 CustomRedisConfig
类,并将其与自动配置合并,以提供完整的应用程序配置。
3. 使用方式
其中xxx
为在Spring Boot 配置文件中配置的多数据源的标识.如'user'、"iot"
java
@Autowired
@Qualifier("xxxRedis")
private CustomRedisService xxxRedisService;
@Autowired
@Qualifier("userRedis")
private CustomRedisService userRedisService;
或者直接使用RedisTemplate 。
java
@Autowired
@Qualifier("userRedisTemplate")
private RedisTemplate userRedisTemplate;
@Autowired
@Qualifier("xxxStringRedisTemplate")
private StringRedisTemplate xxxStringRedisTemplate;
@Autowired
@Qualifier("xxxRedisTemplate")
private RedisTemplate xxxRedisTemplate;
4. 源码地址
https://github.com/wangshuai67/Redis-Tutorial-2023
5. Redis从入门到精通系列文章
- 《SpringBoot Redis 使用Lettuce和Jedis配置哨兵模式》
- 《Redis【应用篇】之RedisTemplate基本操作》
- 《Redis 从入门到精通【实践篇】之SpringBoot配置Redis多数据源》
- 《Redis 从入门到精通【进阶篇】之三分钟了解Redis HyperLogLog 数据结构》
- 《Redis 从入门到精通【进阶篇】之三分钟了解Redis地理位置数据结构GeoHash》
- 《Redis 从入门到精通【进阶篇】之高可用哨兵机制(Redis Sentinel)详解》
- 《Redis 从入门到精通【进阶篇】之redis主从复制详解》
- 《Redis 从入门到精通【进阶篇】之Redis事务详解》
- 《Redis从入门到精通【进阶篇】之对象机制详解》
- 《Redis从入门到精通【进阶篇】之消息传递发布订阅模式详解》
- 《Redis从入门到精通【进阶篇】之持久化 AOF详解》
- 《Redis从入门到精通【进阶篇】之持久化RDB详解》
- 《Redis从入门到精通【高阶篇】之底层数据结构字典(Dictionary)详解》
- 《Redis从入门到精通【高阶篇】之底层数据结构快表QuickList详解》
- 《Redis从入门到精通【高阶篇】之底层数据结构简单动态字符串(SDS)详解》
- 《Redis从入门到精通【高阶篇】之底层数据结构压缩列表(ZipList)详解》
- 《Redis从入门到精通【进阶篇】之数据类型Stream详解和使用示例》
大家好,我是冰点,今天的Redis【实践篇】之SpringBoot Redis 多数据源集成支持哨兵模式和Cluster集群模式,全部内容就是这些。如果你有疑问或见解可以在评论区留言。