Detailed explanation of Redis serialization optimization configuration in Spring Boot

introduction

When using Spring Boot to integrate Redis, the choice of serialization method directly affects the efficiency of data storage and system compatibility. The default JDK serialization has problems such as poor readability and large storage space. This article will explore in-depth how to optimize the Redis serialization configuration.

1. The importance of Redis serialization

• Storage efficiency: Reasonable serialization can reduce memory usage
• Cross-platform compatibility: Supports reading data in different language systems
• readability: Easy to view Redis storage content directly
• Performance optimization: Influence serialization/deserialization speed

2. Comparison of common serialization schemes

3. Practical configuration examples

1. Introduce dependencies

<dependency>
    <groupId></groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

2. Configure Jackson serialization

@Configuration
public class RedisConfig {
    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        (factory);
        // Serialize Value using Jackson        ObjectMapper om = new ObjectMapper();
        (, );
        (, 
            .NON_FINAL);
        GenericJackson2JsonRedisSerializer serializer = 
            new GenericJackson2JsonRedisSerializer(om);
        // Key is serialized using String        (());
        (());
        // Value is serialized using JSON        (serializer);
        (serializer);
        ();
        return template;
    }
}

3. Special type processing skills

Date format: Configure in ObjectMapper

(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS);
(new JavaTimeModule());

• Custom serializer: Implement the RedisSerializer interface
• Protobuf integration: Use third-party libraries such as Protostuff

4. Best Practice Suggestions

Key-value policy：

• Key uses String serialization uniformly
• Simple value using StringRedisTemplate
• Complex objects are serialized using JSON

Performance optimization：

• Consider compressing and serializing large objects
• High frequency access to data uses more efficient binary protocols

Safety precautions：

• Avoid serialization of storing sensitive data
• Different services use different Redis namespaces

Debugging Tips：

# Redis CLI View JSON Data127.0.0.1:6379> GET user:1001 | jq

5. Troubleshooting of FAQs

Deserialize ClassNotFound：

• Check classpath consistency
• Use @TypeAlias ​​annotation

Type erase issue：

Handling generics with TypeReference

List<User> users = ()
    .get("users", new TypeReference<List<User>>(){});

Recycle reference：

(SerializationFeature.FAIL_ON_SELF_REFERENCES);

6. Performance test comparison

Use JMH benchmark (nanoseconds/operation):

Conclusion

Reasonable serialized configuration needs to balance development efficiency, storage cost and performance requirements based on business scenarios. It is recommended that new projects prioritize JSON serialization, and binary protocols such as Protobuf are considered in high-performance scenarios, and legacy systems gradually replace default JDK serialization.

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