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Optimize collection conversions

apache/kafka
Based on 4 comments
Other

When converting between Java and Scala collections or performing set operations, choose methods that minimize temporary collection creation to improve performance and reduce memory overhead.

Algorithms Other

Reviewer Prompt

When converting between Java and Scala collections or performing set operations, choose methods that minimize temporary collection creation to improve performance and reduce memory overhead.

Avoid creating unnecessary intermediate collections by:

  • Using diff() instead of converting to Set and using -- operator
  • Leveraging iterators with filtering and mapping before final collection conversion
  • Using Java streams with collectors when working with Java collections
  • Choosing direct HashMap operations over collection conversions when appropriate

Examples:

// Inefficient - creates temporary Set
val result = partitionState.isr.asScala.map(_.toInt).toSet -- outOfSyncReplicaIds

// Better - uses diff to avoid temporary collection
val result = partitionState.isr.asScala.map(_.toInt).diff(outOfSyncReplicaIds)

// Alternative with iterator for complex operations
val result = current.isr.asScala.iterator.map(_.toInt).filter(_ != localBrokerId).to(Set)

// Java stream approach
val result = current.isr.stream().filter(isr => isr != localBrokerId).collect(Collectors.toUnmodifiableSet).asScala

This optimization reduces algorithmic complexity by eliminating unnecessary O(n) collection creation steps and improves memory efficiency in data structure operations.

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