在Spring Boot中配置和使用多个Redis数据源以应对高并发访问,可以通过以下步骤实现:
首先,你需要在application.yml
或application.properties
文件中配置多个Redis数据源。例如:
# application.yml
spring:
redis:
primary:
host: localhost
port: 6379
password: yourpassword
database: 0
secondary:
host: localhost
port: 6380
password: yourpassword
database: 1
接下来,创建两个配置类来分别配置这两个数据源。
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
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.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
@Configuration
public class RedisConfig {
@Bean
@ConfigurationProperties(prefix = "spring.redis.primary")
public LettuceClientConfiguration primaryRedisClientConfiguration() {
return LettuceClientConfiguration.builder()
.commandTimeout(Duration.ofMillis(3000))
.build();
}
@Bean
public LettuceConnectionFactory primaryRedisConnectionFactory(@Qualifier("primaryRedisClientConfiguration") LettuceClientConfiguration clientConfiguration) {
return new LettuceConnectionFactory(new RedisStandaloneConfiguration("localhost", 6379), clientConfiguration);
}
@Bean
public RedisTemplate<String, Object> primaryRedisTemplate(@Qualifier("primaryRedisConnectionFactory") LettuceConnectionFactory connectionFactory) {
RedisTemplate<String, Object> template = new RedisTemplate<>();
template.setConnectionFactory(connectionFactory);
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
return template;
}
@Bean
@ConfigurationProperties(prefix = "spring.redis.secondary")
public LettuceClientConfiguration secondaryRedisClientConfiguration() {
return LettuceClientConfiguration.builder()
.commandTimeout(Duration.ofMillis(3000))
.build();
}
@Bean
public LettuceConnectionFactory secondaryRedisConnectionFactory(@Qualifier("secondaryRedisClientConfiguration") LettuceClientConfiguration clientConfiguration) {
return new LettuceConnectionFactory(new RedisStandaloneConfiguration("localhost", 6380), clientConfiguration);
}
@Bean
public RedisTemplate<String, Object> secondaryRedisTemplate(@Qualifier("secondaryRedisConnectionFactory") LettuceConnectionFactory connectionFactory) {
RedisTemplate<String, Object> template = new RedisTemplate<>();
template.setConnectionFactory(connectionFactory);
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
return template;
}
}
在你的服务类中,你可以注入多个RedisTemplate
来分别操作不同的数据源。
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;
@Service
public class RedisService {
@Autowired
private RedisTemplate<String, Object> primaryRedisTemplate;
@Autowired
private RedisTemplate<String, Object> secondaryRedisTemplate;
public void usePrimary() {
primaryRedisTemplate.opsForValue().set("key", "value");
// 其他操作
}
public void useSecondary() {
secondaryRedisTemplate.opsForValue().set("key", "value");
// 其他操作
}
}
为了应对高并发访问,你可以考虑以下策略:
LettuceClientConfiguration
中的连接池配置。通过以上步骤,你可以在Spring Boot中配置和使用多个Redis数据源,以应对高并发访问。