Redis 操作多個數(shù)據(jù)庫的配置的方法實現(xiàn)
前言
redis 默認有 0-16 號數(shù)據(jù)庫,一般我們操作redis時,用的是 0號數(shù)據(jù)庫,但是有時我們的項目想同時操作多個數(shù)據(jù)庫,又不想每次訪問其它庫數(shù)據(jù)時 select 切換數(shù)據(jù)庫,這樣太繁瑣。
因此我們需要配置多個Jedis Client,但是jedis是容易阻塞,效率不太好,所以我這邊采用了 Lettuce Client,它是 Reactive 的連接方式,效率比較高。但是怎么使用到 Lettuce Client,其實一般我們添加 spring-boot-starter-data-redis 依賴,通過RedisTemplate 去使用Redis的功能時,當版本很高的時候默認RedisTemplate底層用的就是通過Lettuce Client 去建立連接和操作數(shù)據(jù)。
以下是自己實際正在使用的多數(shù)據(jù)源配置,且能正常運行。
一、添加pom 依賴
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
<version>2.0.5.RELEASE</version>
</dependency>
二、多數(shù)據(jù)源的配置和添加到spring容器中
下面我的截圖使用了四個數(shù)據(jù)源,分別是1,2,3,4號庫。
1)新建一個configuration 配置類
2)new RedisStandaloneConfiguration(host, port); 初始化一個Redis配置,并接下來選擇好庫號。
3)初始化一個 LettuceConnectionFactory 。
4)實例化一個 RedisTemplate ,并設置鍵值序列化的方式,這里key和value都是字符串的,所以序列化器選擇 StringRedisSerializer。
5)給 RedisTemplate 設置第三步創(chuàng)建的 LettuceConnectionFactory,并以@Bean注解注入到spring容器中,使用時直接通過方法名字在spring容器中查找,裝配到引用它的實例中。
import io.lettuce.core.resource.ClientResources;
import io.lettuce.core.resource.DefaultClientResources;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
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.StringRedisSerializer;
import org.springframework.util.ObjectUtils;
import java.time.Duration;
/**
* reactive redis
* @Author:wangqipeng
* @Date:14:38 2019-07-03
*/
@Configuration
public class RedisDatasourceConfiguration {
@Value("${redis.isCleanRedisCache:false}")
private String cleanRedisCache;
@Value("${redis.host:127.0.0.1}")
public String host;
@Value("${redis.port:6379}")
public Integer port;
private String password;
@Value("${redis.timeout:2000}")
public Integer timeout;
public Integer maxIdle = 16;
public Integer minIdle = 5;
public Integer maxTotal = 30;
@Bean
public RedisTemplate<String, String> stringRedisTemplate1() {
RedisStandaloneConfiguration configuration = new RedisStandaloneConfiguration(host, port);
configuration.setDatabase(1);
if (!ObjectUtils.isEmpty(password)) {
RedisPassword redisPassword = RedisPassword.of(password);
configuration.setPassword(redisPassword);
}
return createRedisTemplate(creatFactory(configuration));
}
@Bean
public RedisTemplate<String, String> stringRedisTemplate2() {
RedisStandaloneConfiguration configuration = new RedisStandaloneConfiguration(host, port);
configuration.setDatabase(2);
if (!ObjectUtils.isEmpty(password)) {
RedisPassword redisPassword = RedisPassword.of(password);
configuration.setPassword(redisPassword);
}
return createRedisTemplate(creatFactory(configuration));
}
@Bean
public RedisTemplate<String, String> stringRedisTemplate3() {
RedisStandaloneConfiguration configuration = new RedisStandaloneConfiguration(host, port);
configuration.setDatabase(3);
if (!ObjectUtils.isEmpty(password)) {
RedisPassword redisPassword = RedisPassword.of(password);
configuration.setPassword(redisPassword);
}
return createRedisTemplate(creatFactory(configuration));
}
@Bean
public RedisTemplate<String, String> stringRedisTemplate4() {
RedisStandaloneConfiguration configuration = new RedisStandaloneConfiguration(host, port);
configuration.setDatabase(4);
if (!ObjectUtils.isEmpty(password)) {
RedisPassword redisPassword = RedisPassword.of(password);
configuration.setPassword(redisPassword);
}
return createRedisTemplate(creatFactory(configuration));
}
@Bean
public RedisTemplate<String, String> stringRedisTemplate5() {
RedisStandaloneConfiguration configuration = new RedisStandaloneConfiguration(host, port);
configuration.setDatabase(5);
if (!ObjectUtils.isEmpty(password)) {
RedisPassword redisPassword = RedisPassword.of(password);
configuration.setPassword(redisPassword);
}
return createRedisTemplate(creatFactory(configuration));
}
private RedisTemplate<String, String> getSerializerRedisTemplate(){
RedisTemplate<String, String> redisTemplate = new RedisTemplate<>();
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(new StringRedisSerializer());
return redisTemplate;
}
private RedisTemplate createRedisTemplate(RedisConnectionFactory redisConnectionFactory) {
RedisTemplate<String, String> redisTemplate = getSerializerRedisTemplate();
redisTemplate.setConnectionFactory(redisConnectionFactory);
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
private GenericObjectPoolConfig getGenericObjectPoolConfig(){
GenericObjectPoolConfig genericObjectPoolConfig = new GenericObjectPoolConfig();
genericObjectPoolConfig.setMaxTotal(maxTotal);
genericObjectPoolConfig.setMinIdle(minIdle);
genericObjectPoolConfig.setMaxIdle(maxIdle);
genericObjectPoolConfig.setMaxWaitMillis(timeout);
return genericObjectPoolConfig;
}
private LettuceConnectionFactory creatFactory(RedisStandaloneConfiguration configuration){
LettucePoolingClientConfiguration.LettucePoolingClientConfigurationBuilder builder = LettucePoolingClientConfiguration.builder();
builder.poolConfig(getGenericObjectPoolConfig());
// LettuceClientConfiguration.LettuceClientConfigurationBuilder builder = LettuceClientConfiguration.builder();
// builder.clientResources(clientResources());
// builder.commandTimeout(Duration.ofSeconds(3000));
LettuceConnectionFactory connectionFactory = new LettuceConnectionFactory(configuration, builder.build());
connectionFactory.afterPropertiesSet();
return connectionFactory;
}
}
三、使用方式

這里引用是2號庫,即上面通過@Bean 加載到spring容器中的。
結語:
通過看源碼知道怎么配置多數(shù)據(jù)源,積累了一些經(jīng)驗。
到此這篇關于Redis 操作多個數(shù)據(jù)庫的配置的方法實現(xiàn)的文章就介紹到這了,更多相關Redis 操作多數(shù)據(jù)庫內容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關文章希望大家以后多多支持腳本之家!
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