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Spring Bootframework~8 mins

@Cacheable for read caching in Spring Boot - Performance & Optimization

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Performance: @Cacheable for read caching
MEDIUM IMPACT
This affects the speed of serving repeated read requests by avoiding repeated method executions and database hits.
Improving read performance by caching method results
Spring Boot
@Cacheable("dataCache")
@GetMapping("/data")
public Data getData() {
    return database.queryData();
}
Caches the result on first call and serves cached data on subsequent calls, avoiding DB hits.
📈 Performance GainReduces response time to under 5ms after first call, improves LCP
Improving read performance by caching method results
Spring Boot
@GetMapping("/data")
public Data getData() {
    return database.queryData();
}
Every request triggers a database query causing slower response and higher load.
📉 Performance CostBlocks rendering for 50-200ms per request depending on DB speed
Performance Comparison
PatternDOM OperationsReflowsPaint CostVerdict
No caching, direct DB callN/AN/AHigher due to slower server response[X] Bad
@Cacheable caching method resultN/AN/ALower due to faster server response[OK] Good
Rendering Pipeline
When a cached method is called, Spring checks the cache before executing the method. If cached data exists, it returns immediately, skipping database access and heavy computation.
Server Processing
Network Transfer
Browser Rendering
⚠️ BottleneckServer Processing (database query and method execution)
Core Web Vital Affected
LCP
This affects the speed of serving repeated read requests by avoiding repeated method executions and database hits.
Optimization Tips
1Use @Cacheable on methods that return data that does not change often.
2Avoid caching methods with side effects or frequently changing data.
3Monitor cache size and eviction policies to prevent stale data issues.
Performance Quiz - 3 Questions
Test your performance knowledge
What is the main performance benefit of using @Cacheable on a read method?
AIt improves the browser's rendering speed directly.
BIt reduces the size of the database.
CIt avoids repeated database queries by returning cached results.
DIt compresses the network response.
DevTools: Network
How to check: Open DevTools, go to Network tab, observe response times for repeated requests to the cached endpoint.
What to look for: Faster response times on repeated requests indicate effective caching.