7 Java Stream Tricks every Developer should know in 2025 | Java 8 Interview Questions | Code Decode

In this video of code decode we have explained top 7 java stream tricks that every developer should before going to interview

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Stop writing boilerplate code! Ready to unlock the true power of Java Streams? This comprehensive tutorial reveals the advanced techniques that separate junior developers from senior engineers.
🎯 What You'll Master:
💡 Technique 1: Optional + Streams Magic
Transform null-safe pipelines and eliminate repetitive null checks forever. Perfect for API response handling and user notification systems.
⚡ Technique 2: Collectors.reducing() Deep Dive
Go beyond basic sum() and average() - learn custom reduction logic that works seamlessly with groupingBy operations. Essential for complex data aggregations.
🔥 Technique 3: Advanced Grouping with Mapping
Master the art of grouping employees by department while extracting only names - clean, readable, and production-ready dashboard code.
🎨 Technique 4: partitioningBy() with Aggregation
Stop thinking binary! Learn how to split data into meaningful groups with simultaneous calculations - perfect for analytics and reporting.
🌊 Technique 5: Stateful Lazy Sequences
Generate Fibonacci sequences, simulate compound interest, and create time series data with Stream.iterate() - unlock infinite possibilities.
🎲 Technique 6: Infinite Streams with generate()
Create random test data, generate OTPs, and build mock datasets effortlessly with supplier-based infinite streams.
🔧 Technique 7: Stream teeing() for Multi-Output
Calculate total AND average in a single pass! Master the art of simultaneous collection for maximum performance and clean reporting.
🚫 BONUS: Critical Mistakes to Avoid

Why parallelStream() can kill your web app performance
The hidden dangers of mutating objects in map()
When NOT to use Collectors.toList()



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