ClickHouse Caching Strategies in Spring Boot Applications

December 15, 2025

#1

Caching reduces load and speeds up query performance in ClickHouse. With Spring Boot, you can integrate caching strategies easily.

1. Application-Level Caching with Spring Cache

Enable caching in Spring Boot:

@SpringBootApplication
@EnableCaching
public class App {}

Add caching to a repository:

@Cacheable("topUsers")
public List<User> getTopUsers() {
    return jdbcTemplate.query("SELECT * FROM users ORDER BY score DESC LIMIT 10",
        (rs, rowNum) -> new User(rs.getInt("id"), rs.getString("name")));
}

This caches the query results in memory.

2. Using Redis for Distributed Cache

Spring Boot integrates easily with Redis:

spring.cache.type=redis
spring.redis.host=localhost
spring.redis.port=6379

This stores cache outside the app, useful for scaling.

3. ClickHouse Query Result Cache

ClickHouse has its own cache for query results. Configure it in users.xml:

<query_cache>
  <max_size_in_bytes>104857600</max_size_in_bytes>
  <enable>true</enable>
</query_cache>

This speeds up repeated queries.

4. Prepared Statement Reuse

Spring’s JdbcTemplate can reuse prepared statements. This avoids query parsing overhead for frequent queries.

5. Best Practices

• Cache frequently accessed but rarely updated queries.
• Use TTL for cache invalidation.
• Combine Spring Cache with ClickHouse query cache for maximum performance.