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Spring Bootframework~8 mins

@ManyToMany relationship in Spring Boot - Performance & Optimization

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Performance: @ManyToMany relationship
MEDIUM IMPACT
This affects database query performance and page load speed when fetching related data in web applications.
Fetching related entities in a @ManyToMany relationship
Spring Boot
@Entity
public class Student {
  @ManyToMany(fetch = FetchType.LAZY)
  private Set<Course> courses;
}
Lazy fetching loads related entities only when accessed, reducing initial query size and speeding up page load.
📈 Performance GainReduces initial database load and speeds up LCP by deferring related data fetching.
Fetching related entities in a @ManyToMany relationship
Spring Boot
@Entity
public class Student {
  @ManyToMany(fetch = FetchType.EAGER)
  private Set<Course> courses;
}
Eager fetching loads all related entities immediately, causing large joins or multiple queries that slow down page load.
📉 Performance CostBlocks rendering until all related data loads; can trigger multiple heavy database queries increasing LCP.
Performance Comparison
PatternDatabase QueriesData SizePage Load ImpactVerdict
Eager Fetching @ManyToManyMultiple or large join queriesLarge data fetched upfrontSlower LCP due to blocking[X] Bad
Lazy Fetching @ManyToManyQueries only when accessedSmaller initial data sizeFaster LCP by deferring load[OK] Good
Rendering Pipeline
When a page requests data with @ManyToMany eager fetch, the backend queries all related entities before sending response, delaying HTML rendering.
Data Fetching
Backend Processing
HTML Rendering
⚠️ BottleneckData Fetching due to large or multiple SQL queries caused by eager loading
Core Web Vital Affected
LCP
This affects database query performance and page load speed when fetching related data in web applications.
Optimization Tips
1Use FetchType.LAZY for @ManyToMany to avoid loading large related data sets upfront.
2Avoid accessing lazy collections in the view layer without pagination or limits.
3Consider DTO projections or custom queries to fetch only needed data.
Performance Quiz - 3 Questions
Test your performance knowledge
What is the main performance issue with using FetchType.EAGER on a @ManyToMany relationship?
AIt loads all related entities immediately, causing slow database queries and page load.
BIt delays loading related entities until accessed, causing UI lag.
CIt caches related entities in the browser, increasing memory usage.
DIt prevents any related entities from loading automatically.
DevTools: Network
How to check: Open DevTools, go to Network tab, reload page, and observe backend API calls and their response times.
What to look for: Look for large or multiple slow API calls caused by fetching many related entities upfront.