spring boot 2.0.3使用Lettuce Redis并配置 pool

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依赖的jar包：

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-pool2</artifactId>
            <version>2.6.0</version>
        </dependency>

RedisTemplate默认提供的序列化器

RedisSerializer redis序列化的接口类

OxmSerializer xml到object的序列化/反序列化

StringRedisSerializer string字符串的序列化/反序列化

JacksonJsonRedisSerializer json到object的序列化/反序列化

Jackson2JsonRedisSerializer json到object的序列化/反序列化

JdkSerializationRedisSerializer java对象的序列化/反序列化

JAVA code:
配置文件：存放位置properties/redis.properties

# Redis settings
spring.redis.database=0
spring.redis.host=127.0.0.1
spring.redis.port=6379
spring.redis.password=
spring.redis.ssl=false
#客户端超时时间单位是毫秒 默认是2000
spring.redis.connTimeout=10000
spring.redis.CachingTime=900
#spring.redis.url=spring.redis://[email protected]:6379/2

#最大空闲数
spring.redis.maxIdle=300
#最小空闲数
spring.redis.minIdle=1
#连接池的最大数据库连接数。设为0表示无限制,如果是jedis 2.4以后用spring.redis.maxTotal
spring.redis.maxActive=600
spring.redis.maxWait=2
#控制一个pool可分配多少个jedis实例,用来替换上面的spring.redis.maxActive,如果是jedis 2.4以后用该属性
spring.redis.maxTotal=1000
#最大建立连接等待时间。如果超过此时间将接到异常。设为-1表示无限制。
spring.redis.maxWaitMillis=3000
#连接的最小空闲时间 默认1800000毫秒(30分钟)
spring.redis.minEvictableIdleTimeMillis=300000
#每次释放连接的最大数目,默认3
spring.redis.numTestsPerEvictionRun=1024
#逐出扫描的时间间隔(毫秒) 如果为负数,则不运行逐出线程, 默认-1
spring.redis.timeBetweenEvictionRunsMillis=30000
#是否在从池中取出连接前进行检验,如果检验失败,则从池中去除连接并尝试取出另一个
spring.redis.testOnBorrow=true
#返回性校验
spring.redis.testOnReturn=true
#在空闲时检查有效性, 默认false
spring.redis.testWhileIdle=true

RedisProperties配置类：

import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.PropertySource;
import org.springframework.stereotype.Component;


@Component
@Data
@PropertySource(value= {"classpath:properties/redis.properties"})
@ConfigurationProperties(prefix = "spring.redis")
public class RedisProperties {

    private static final String PROPERTIES_FILE = "application.properties";

    /**
     * spring.redis.database=0
     * spring.redis.host=192.168.33.200
     * spring.redis.port=6379
     * spring.redis.ssl=false
     * spring.redis.password=123456
     * spring.redis.connTimeout=5000ms
     * spring.redis.maxActive=500
     * spring.redis.maxIdle=10
     * spring.redis.minIdle=0
     * spring.redis.maxWait=5000ms
     * */
    private Integer database;
    private String host;
    private Integer port;
    private Boolean ssl;
    private String password;
    private Long connTimeout;
    private Integer maxActive;
    private Integer maxIdle;
    private Integer minIdle;
    private Integer maxWait;
}

RedisConfig配置类：

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.myself.platform.properties.RedisProperties;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisPassword;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
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.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

import java.time.Duration;

/**
 * Created by qxr4383 on 2018/12/27.
 */
@Configuration
@EnableCaching
public class RedisConfig {

    @Autowired
    private RedisProperties redisProperties;

    @Bean
    public RedisTemplate<String, Object> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {
        //设置序列化
        //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值（默认使用JDK的序列化方式）
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        //指定要序列化的域，field,get和set,以及修饰符范围，ANY是都有包括private和public
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        //配置redisTemplate
        RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
        // 配置连接工厂
        redisTemplate.setConnectionFactory(lettuceConnectionFactory);
        RedisSerializer stringSerializer = new StringRedisSerializer();
        redisTemplate.setKeySerializer(stringSerializer);//key序列化
        redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);//value序列化
        redisTemplate.setHashKeySerializer(stringSerializer);//Hash key序列化
        redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);//Hash value序列化
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }
    @Bean
    public LettuceConnectionFactory lettuceConnectionFactory(GenericObjectPoolConfig genericObjectPoolConfig) {
        // 单机版配置
        RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration();
        redisStandaloneConfiguration.setDatabase(redisProperties.getDatabase()==null ? 0 : redisProperties.getDatabase());
        redisStandaloneConfiguration.setHostName(redisProperties.getHost());
        redisStandaloneConfiguration.setPort(redisProperties.getPort());
        redisStandaloneConfiguration.setPassword(RedisPassword.of(redisProperties.getPassword()));
       // 集群版配置
//        RedisClusterConfiguration redisClusterConfiguration = new RedisClusterConfiguration();
//        String[] serverArray = clusterNodes.split(",");
//        Set<RedisNode> nodes = new HashSet<RedisNode>();
//        for (String ipPort : serverArray) {
//            String[] ipAndPort = ipPort.split(":");
//            nodes.add(new RedisNode(ipAndPort[0].trim(), Integer.valueOf(ipAndPort[1])));
//        }
//        redisClusterConfiguration.setPassword(RedisPassword.of(password));
//        redisClusterConfiguration.setClusterNodes(nodes);
//        redisClusterConfiguration.setMaxRedirects(maxRedirects);
        LettuceClientConfiguration clientConfig = LettucePoolingClientConfiguration.builder()
                .commandTimeout(Duration.ofMillis(redisProperties.getConnTimeout()))
                .poolConfig(genericObjectPoolConfig)
                .build();
        if (redisProperties.getSsl()){
            clientConfig.isUseSsl();
        }
        LettuceConnectionFactory factory = new LettuceConnectionFactory(redisStandaloneConfiguration,clientConfig);
        return factory;
    }

    /**
     * GenericObjectPoolConfig 连接池配置
     *
     * @return
     */
    @Bean
    public GenericObjectPoolConfig genericObjectPoolConfig() {
        GenericObjectPoolConfig genericObjectPoolConfig = new GenericObjectPoolConfig();
        genericObjectPoolConfig.setMaxIdle(redisProperties.getMaxIdle());
        genericObjectPoolConfig.setMinIdle(redisProperties.getMinIdle());
        genericObjectPoolConfig.setMaxTotal(redisProperties.getMaxActive());
        genericObjectPoolConfig.setMaxWaitMillis(redisProperties.getMaxWait());
        return genericObjectPoolConfig;
    }

    @Bean
    public CacheManager cacheManager(LettuceConnectionFactory lettuceConnectionFactory) {
        RedisCacheManager.RedisCacheManagerBuilder builder = RedisCacheManager
                .RedisCacheManagerBuilder
                .fromConnectionFactory(lettuceConnectionFactory);
        return builder.build();
    }
}

redis工具接口类：

import java.util.List;
import java.util.Set;

public interface RedisService {

    boolean set(String key, Object value);

    boolean set(String key, Object value, Long expireTime);

    void remove(String... keys);

    /**
     * 批量删除key
     * @param pattern
     */
    void removePattern(String pattern);

    /**
     * 删除对应的value
     * @param key
     */
    void remove(String key);
    /**
     * 判断缓存中是否有对应的value
     * @param key
     * @return
     */
    boolean exists(String key);

    /**
     * 读取缓存
     * @param key
     * @return
     */
    Object get(String key);
    /**
     * 哈希 添加
     * @param key
     * @param hashKey
     * @param value
     */
    void hmSet(String key, Object hashKey, Object value);

    /**
     * 哈希获取数据
     * @param key
     * @param hashKey
     * @return
     */
    Object hmGet(String key, Object hashKey);

    /**
     * 列表添加
     * @param k
     * @param v
     */
    void lPush(String k, Object v);

    /**
     * 列表获取
     * @param k
     * @param l
     * @param l1
     * @return
     */
    List<Object> lRange(String k, long l, long l1);

    /**
     * 集合添加
     * @param key
     * @param value
     */
    void setArray(String key, Object value);

    /**
     * 集合获取
     * @param key
     * @return
     */
    Set<Object> getArray(String key);

    /**
     * 有序集合添加
     * @param key
     * @param value
     * @param scoure
     */
    void zAdd(String key, Object value, double scoure);

    /**
     * 有序集合获取
     * @param key
     * @param scoure
     * @param scoure1
     * @return
     */
    Set<Object> rangeByScore(String key, double scoure, double scoure1);

}

redis接口实现类：

import com.myself.platform.service.RedisService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Service;

import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;

@Service
public class RedisServiceImpl implements RedisService {

    @Autowired
    private RedisTemplate redisTemplate;

    /**
     * 写入缓存
     * @param key
     * @param value
     * @return boolean
     */
    @Override
    public boolean set(String key, Object value) {
        boolean result = false;
        try {
            ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
            operations.set(key, value);
            result = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 写入缓存设置时效时间
     * @param key
     * @param value
     * @return boolean
     */
    @Override
    public boolean set(String key, Object value, Long expireTime) {
        boolean result = false;
        try {
            ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
            operations.set(key, value);
            redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
            result = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 批量删除对应的value
     * @param keys
     */
    @Override
    public void remove(String... keys) {
        for (String key : keys) {
            remove(key);
        }
    }

    /**
     * 批量删除key
     * @param pattern
     */
    @Override
    public void removePattern(String pattern) {
        Set<Serializable> keys = redisTemplate.keys(pattern);
        if (keys.size() > 0)
            redisTemplate.delete(keys);
    }

    /**
     * 删除对应的value
     * @param key
     */
    @Override
    public void remove(String key) {
        if (exists(key)) {
            redisTemplate.delete(key);
        }
    }

    /**
     * 判断缓存中是否有对应的value
     * @param key
     * @return
     */
    @Override
    public boolean exists(String key) {
        return redisTemplate.hasKey(key);
    }

    /**
     * 读取缓存
     * @param key
     * @return
     */
    @Override
    public Object get(String key) {
        Object result = null;
        ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
        result = operations.get(key);
        return result;
    }
    /**
     * 哈希 添加
     * @param key
     * @param hashKey
     * @param value
     */
    @Override
    public void hmSet(String key, Object hashKey, Object value){
        HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
        hash.put(key,hashKey,value);
    }

    /**
     * 哈希获取数据
     * @param key
     * @param hashKey
     * @return
     */
    @Override
    public Object hmGet(String key, Object hashKey){
        HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
        return hash.get(key,hashKey);
    }

    /**
     * 列表添加
     * @param k
     * @param v
     */
    @Override
    public void lPush(String k,Object v){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        list.rightPush(k,v);
    }

    /**
     * 列表获取
     * @param k
     * @param l
     * @param l1
     * @return
     */
    @Override
    public List<Object> lRange(String k, long l, long l1){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        return list.range(k,l,l1);
    }

    /**
     * 集合添加
     * @param key
     * @param value
     */
    @Override
    public void setArray(String key,Object value){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        set.add(key,value);
    }

    /**
     * 集合获取
     * @param key
     * @return
     */
    @Override
    public Set<Object> getArray(String key){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        return set.members(key);
    }

    /**
     * 有序集合添加
     * @param key
     * @param value
     * @param scoure
     */
    @Override
    public void zAdd(String key,Object value,double scoure){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        zset.add(key,value,scoure);
    }

    /**
     * 有序集合获取
     * @param key
     * @param scoure
     * @param scoure1
     * @return
     */
    @Override
    public Set<Object> rangeByScore(String key,double scoure,double scoure1){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        return zset.rangeByScore(key, scoure, scoure1);
    }

}

测试类：

    @Autowired
    private RedisService redisService;
    
    public String getProperties(){
        redisService.set("3213", 1213,900l);
    }