手机参数对比的网站seo优化要做什么
实现原理
- 需要配置好两个数据源，创建两个RedisTemplate
- 在配置类中注入两个RedisConnectionFactory，分别创建对应的RedisTemplate进行操作
详解
配置数据源
我这里是在之前已有一个配置下面另外加了一个
spring：redis:# 地址host: localhost# 端口，默认为6379port: 6379# 数据库索引database: 0# 密码password: xxxx# 连接超时时间timeout: 10slettuce:pool:# 连接池中的最小空闲连接min-idle: 0# 连接池中的最大空闲连接max-idle: 8# 连接池的最大数据库连接数max-active: 8# #连接池最大阻塞等待时间（使用负值表示没有限制）max-wait: -1ms#第二数据源second:host: 127.0.0.1port: 6379password: xxx
创建配置文件
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
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.jedis.JedisConnectionFactory;@Configuration
public class RedisConfigs {@Value("${spring.redis.host}")private String host;@Value("${spring.redis.port}")private int port;@Value("${spring.redis.password}")private String password;@Value("${spring.redis.second.host}")private String secondHost;@Value("${spring.redis.second.port}")private int secondPort;@Value("${spring.redis.second.password}")private String secondPassword;@Bean(name = "redisConnectionFactory")@Primary //默认选择这个数据源进行执行@Qualifier("redisConnectionFactory")public RedisConnectionFactory redisConnectionFactory() {RedisStandaloneConfiguration config = new RedisStandaloneConfiguration();config.setHostName(host);config.setPort(port);config.setPassword(RedisPassword.of(password));return new JedisConnectionFactory(config);}@Bean(name = "secondRedisConnectionFactory")@Qualifier("secondRedisConnectionFactory")public RedisConnectionFactory secondRedisConnectionFactory() {RedisStandaloneConfiguration config = new RedisStandaloneConfiguration();config.setHostName(secondHost);config.setPort(port);config.setPassword(RedisPassword.of(secondPassword));return new JedisConnectionFactory(config);}}创建工具类
注入配置类中的RedisConnectionFactory分别生成对应的RedisTemplate，然后进行操作就可以啦
import com.bdtd.limit.common.config.FastJson2JsonRedisSerializer;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.stereotype.Component;import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;@Component
public class RedisUtil {private final RedisConnectionFactory redisConnectionFactory;private final RedisConnectionFactory secondRedisConnectionFactory;@Autowiredpublic RedisUtil(RedisConnectionFactory redisConnectionFactory,@Qualifier("secondRedisConnectionFactory")RedisConnectionFactory secondRedisConnectionFactory) {this.redisConnectionFactory = redisConnectionFactory;this.secondRedisConnectionFactory = secondRedisConnectionFactory;}public RedisTemplate<String, Object> getRedisTemplate() {RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();redisTemplate.setConnectionFactory(redisConnectionFactory);FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);// 使用StringRedisSerializer来序列化和反序列化redis的key值redisTemplate.setKeySerializer(new StringRedisSerializer());redisTemplate.setValueSerializer(serializer);// Hash的key也采用StringRedisSerializer的序列化方式redisTemplate.setHashKeySerializer(new StringRedisSerializer());redisTemplate.setHashValueSerializer(serializer);redisTemplate.afterPropertiesSet();return redisTemplate;}public RedisTemplate<String, Object> getSecondRedisTemplate() {RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();redisTemplate.setConnectionFactory(secondRedisConnectionFactory);FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);// 使用StringRedisSerializer来序列化和反序列化redis的key值redisTemplate.setKeySerializer(new StringRedisSerializer());redisTemplate.setValueSerializer(serializer);// Hash的key也采用StringRedisSerializer的序列化方式redisTemplate.setHashKeySerializer(new StringRedisSerializer());redisTemplate.setHashValueSerializer(serializer);redisTemplate.afterPropertiesSet();return redisTemplate;}/*** 第一数据源* 缓存基本的对象，Integer、String、实体类等** @param key 缓存的键值* @param value 缓存的值*/public <T> void setCacheObject(final String key, final T value){getRedisTemplate().opsForValue().set(key, value);}/*** 第一数据源* 缓存基本的对象，Integer、String、实体类等** @param key 缓存的键值* @param value 缓存的值* @param timeout 时间* @param timeUnit 时间颗粒度*/public <T> void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit){getRedisTemplate().opsForValue().set(key, value, timeout, timeUnit);}/*** 第一数据源* 设置有效时间** @param key Redis键* @param timeout 超时时间* @param unit 时间单位* @return true=设置成功；false=设置失败*/public boolean expire(final String key, final long timeout, final TimeUnit unit){return getRedisTemplate().expire(key, timeout, unit);}/*** 第一数据源* 判断 key是否存在** @param key 键* @return true 存在 false不存在*/public Boolean hasKey(String key){return getRedisTemplate().hasKey(key);}/*** 第一数据源* 获得缓存的基本对象。** @param key 缓存键值* @return 缓存键值对应的数据*/public Object getCacheObject(final String key){ValueOperations<String, Object> operation = getRedisTemplate().opsForValue();return operation.get(key);}/*** 第一数据源* 删除单个对象** @param key*/public boolean deleteObject(final String key){return getRedisTemplate().delete(key);}/*** 第一数据源* 删除集合对象** @param collection 多个对象* @return*/public boolean deleteObject(final Collection collection){return getRedisTemplate().delete(collection) > 0;}/*** 第一数据源* 缓存List数据** @param key 缓存的键值* @param dataList 待缓存的List数据* @return 缓存的对象*/public <T> long setCacheList(final String key, final List<T> dataList){Long count = getRedisTemplate().opsForList().rightPushAll(key, dataList);return count == null ? 0 : count;}/*** 第一数据源* 获得缓存的list对象** @param key 缓存的键值* @return 缓存键值对应的数据*/public <T> List<T> getCacheList(final String key){return (List<T>) getRedisTemplate().opsForList().range(key, 0, -1);}/*** 第一数据源* 缓存Map** @param key* @param dataMap*/public <T> void setCacheMap(final String key, final Map<String, T> dataMap){if (dataMap != null) {getRedisTemplate().opsForHash().putAll(key, dataMap);}}/*** 第一数据源* 获得缓存的Map** @param key* @return*/public <T> Map<Object, Object> getCacheMap(final String key){return getRedisTemplate().opsForHash().entries(key);}/*** 第二数据源* 缓存基本的对象，Integer、String、实体类等** @param key 缓存的键值* @param value 缓存的值*/public <T> void setSencondCacheObject(final String key, final T value){getSecondRedisTemplate().opsForValue().set(key, value);}/*** 第二数据源* 缓存基本的对象，Integer、String、实体类等** @param key 缓存的键值* @param value 缓存的值* @param timeout 时间* @param timeUnit 时间颗粒度*/public <T> void setSencondCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit){getSecondRedisTemplate().opsForValue().set(key, value, timeout, timeUnit);}/*** 第二数据源* 设置有效时间** @param key Redis键* @param timeout 超时时间* @param unit 时间单位* @return true=设置成功；false=设置失败*/public boolean sencondExpire(final String key, final long timeout, final TimeUnit unit){return getSecondRedisTemplate().expire(key, timeout, unit);}/*** 第二数据源* 判断 key是否存在** @param key 键* @return true 存在 false不存在*/public Boolean sencondHasKey(String key){return getSecondRedisTemplate().hasKey(key);}/*** 第二数据源* 获得缓存的基本对象。** @param key 缓存键值* @return 缓存键值对应的数据*/public Object getSencondCacheObject(final String key){ValueOperations<String, Object> operation = getSecondRedisTemplate().opsForValue();return operation.get(key);}/*** 第一数据源* 删除单个对象** @param key*/public boolean deleteSencondObject(final String key){return getSecondRedisTemplate().delete(key);}/*** 第二数据源* 删除集合对象** @param collection 多个对象* @return*/public boolean deleteSencondObject(final Collection collection){return getSecondRedisTemplate().delete(collection) > 0;}/*** 第二数据源* 缓存List数据** @param key 缓存的键值* @param dataList 待缓存的List数据* @return 缓存的对象*/public <T> long setSencondCacheList(final String key, final List<T> dataList){Long count = getSecondRedisTemplate().opsForList().rightPushAll(key, dataList);return count == null ? 0 : count;}/*** 第二数据源* 获得缓存的list对象** @param key 缓存的键值* @return 缓存键值对应的数据*/public <T> List<T> getSencondCacheList(final String key){return (List<T>) getSecondRedisTemplate().opsForList().range(key, 0, -1);}/*** 第二数据源* 缓存Map** @param key* @param dataMap*/public <T> void setSencondCacheMap(final String key, final Map<String, T> dataMap){if (dataMap != null) {getSecondRedisTemplate().opsForHash().putAll(key, dataMap);}}/*** 第二数据源* 获得缓存的Map** @param key* @return*/public <T> Map<Object, Object> getSencondCacheMap(final String key){return getSecondRedisTemplate().opsForHash().entries(key);}}
Redis使用FastJson序列化
import java.nio.charset.Charset;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONReader;
import com.alibaba.fastjson2.JSONWriter;/*** Redis使用FastJson序列化* */
public class FastJson2JsonRedisSerializer<T> implements RedisSerializer<T>
{public static final Charset DEFAULT_CHARSET = Charset.forName("UTF-8");private Class<T> clazz;public FastJson2JsonRedisSerializer(Class<T> clazz){super();this.clazz = clazz;}@Overridepublic byte[] serialize(T t) throws SerializationException{if (t == null){return new byte[0];}return JSON.toJSONString(t, JSONWriter.Feature.WriteClassName).getBytes(DEFAULT_CHARSET);}@Overridepublic T deserialize(byte[] bytes) throws SerializationException{if (bytes == null || bytes.length <= 0){return null;}String str = new String(bytes, DEFAULT_CHARSET);return JSON.parseObject(str, clazz, JSONReader.Feature.SupportAutoType);}
}