Prompt
Minimize object allocation in performance-critical code paths by reusing existing objects, caching expensive operations, and choosing efficient alternatives to object creation patterns.
Key strategies include:
-
Reuse existing objects instead of creating new ones: When possible, duplicate or reuse existing objects rather than instantiating new ones. For example, use
partition.duplicate()instead of creating a newAlterShareGroupOffsetsResponsePartition. - Avoid Optional creation in hotspots: In performance-critical paths, use direct null checks instead of
Optional.ofNullable(). Replace:Optional.ofNullable(image.cluster().broker(brokerId)).ifPresent(b -> { // process broker });With:
var broker = image.cluster().broker(brokerId); if (broker != null && !broker.fenced() && broker.listeners().containsKey(listenerName.value())) { res.add(brokerId); } -
Cache expensive operations outside loops: When performing expensive operations like
Errors.forException()that scan lists, compute the result once and reuse it rather than calling it repeatedly in loops. -
Choose efficient collection operations: Use
Collections.unmodifiableSet()instead ofSet.copyOf()to avoid deep copying, and prefer direct collection operations over creating intermediate temporary collections. - Optimize conditional checks: Order conditional checks to perform cheaper operations first, such as checking
partitionInfo.leader() == nullbefore creating aTopicPartitionobject.
This approach is particularly important in frequently executed code paths, request processing hotspots, and tight loops where object allocation overhead can significantly impact performance.