spring-boot使用lettuceredis客户端的方法
这篇文章主要介绍“spring-boot使用lettuce redis客户端的方法”,在日常操作中,相信很多人在spring-boot使用lettuce redis客户端的方法问题上存在疑惑,小编查阅了各式资料,整理出简单好用的操作方法,希望对大家解答”spring-boot使用lettuce redis客户端的方法”的疑惑有所帮助!接下来,请跟着小编一起来学习吧!
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config类:
package net.loyin.cloud.upms.config; import org.apache.commons.pool2.impl.GenericObjectPoolConfig; import org.springframework.beans.factory.annotation.Value; 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.*; 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.StringRedisSerializer; import java.time.Duration; import java.util.HashSet; import java.util.Set; @Configuration @AutoConfigureAfter(RedisAutoConfiguration.class) public class RedisConfig { @Value("${spring.redis.database:0}") private int database; @Value("${spring.redis.host:localhost}") private String host; @Value("${spring.redis.nodes:}") private String clusterNodes; @Value("${spring.redis.password:}") private String password; @Value("${spring.redis.port:6379}") private int port; @Value("${spring.redis.timeout:1000}") private long timeout; @Value("${spring.redis.lettuce.pool.max-idle:8}") private int maxIdle; @Value("${spring.redis.lettuce.pool.min-idle:8}") private int minIdle; @Value("${spring.redis.lettuce.pool.max-active:10}") private int maxActive; @Value("${spring.redis.lettuce.pool.max-wait:-1}") private long maxWait; /** * 配置自定义redisTemplate * * @return */ @Bean public RedisTemplateredisTemplate(RedisConnectionFactory redisConnectionFactory) { RedisTemplate template = new RedisTemplate<>(); template.setConnectionFactory(redisConnectionFactory); //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值 /*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);*/ //使用StringRedisSerializer来序列化和反序列化redis的key值 StringRedisSerializer stringRedisSerializer=new StringRedisSerializer(); template.setKeySerializer(stringRedisSerializer); template.setValueSerializer(stringRedisSerializer); template.setHashKeySerializer(stringRedisSerializer); template.setHashValueSerializer(stringRedisSerializer); template.afterPropertiesSet(); return template; } @Bean LettuceConnectionFactory redisConnectionFactory() { RedisConfiguration redisConfiguration = null; if (clusterNodes != null&&"".equals(clusterNodes)==false) { // 集群版配置 RedisClusterConfiguration redisClusterConfiguration = new RedisClusterConfiguration(); String[] serverArray = clusterNodes.split(","); Set nodes = new HashSet (); 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); redisConfiguration = redisClusterConfiguration; } else { // 单机版配置 RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration(); redisStandaloneConfiguration.setDatabase(database); redisStandaloneConfiguration.setHostName(host); redisStandaloneConfiguration.setPort(port); if (password != null && "".equals(password) == false) { redisStandaloneConfiguration.setPassword(RedisPassword.of(password)); } redisConfiguration = redisStandaloneConfiguration; } GenericObjectPoolConfig poolConfig = new GenericObjectPoolConfig(); poolConfig.setMaxIdle(maxIdle); poolConfig.setMinIdle(minIdle); poolConfig.setMaxTotal(maxActive); poolConfig.setMaxWaitMillis(maxWait); LettuceClientConfiguration clientConfig = LettucePoolingClientConfiguration.builder() .commandTimeout(Duration.ofMillis(timeout)) .poolConfig(poolConfig) .build(); LettuceConnectionFactory factory = new LettuceConnectionFactory(redisConfiguration, clientConfig); return factory; } }
yml文件:
spring: redis: database: 0 # Redis默认情况下有16个分片,这里配置具体使用的分片,默认是0 host: 192.168.86.130 port: 6379 lettuce: # netty 线程安全的reids客户端 pool: max-active: 8 # 连接池最大连接数(使用负值表示没有限制) 默认 8 max-idle: 8 # 连接池中的最大空闲连接 默认 8 max-wait: -1 # 连接池最大阻塞等待时间(使用负值表示没有限制) 默认 -1 min-idle: 0 # 连接池中的最小空闲连接 默认 0 timeout: 10000 # 连接超时(ms)
如上配置,使用了连接池。
pom.xml如下:
4.0.0 net.loyin.study redis 1.0-SNAPSHOT aliyun-repos https://maven.aliyun.com/repository/public false 1.8 2.1.7.RELEASE org.springframework.boot spring-boot-starter-parent 2.1.7.RELEASE org.projectlombok lombok 1.18.8 compile org.springframework.boot spring-boot-starter-web ${spring.boot.version} org.springframework.boot spring-boot-starter-tomcat org.springframework.boot spring-boot-starter-data-redis ${spring.boot.version} org.springframework.boot spring-boot-starter-test test org.apache.commons commons-pool2 org.apache.maven.plugins maven-deploy-plugin ${maven-deploy-plugin.version} true org.apache.maven.plugins maven-compiler-plugin ${java.version}
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