[core] Replace O(n*m) list dedup with HashSet-based O(n+m) in SnapshotReaderImpl#7333
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…tReaderImpl Replace beforeEntries.removeIf(dataEntries::remove) with HashSet-based deduplication in toIncrementalPlan(). The original code uses List.remove(Object) which is O(n) per call, making the overall dedup O(n*m). For streaming consumers processing large batches (10K+ entries), this causes significant CPU overhead. The fix builds a HashSet from dataEntries for O(1) lookups, reducing total complexity to O(n+m). Benchmark shows 194x speedup at N=10000 and 343x at N=20000.
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Purpose
SnapshotReaderImpl.toIncrementalPlan()deduplicatesbeforeEntriesanddataEntriesusing:Both lists are
ArrayList<ManifestEntry>.List.remove(Object)performs a linear scan for each call, making the overall complexity O(n*m). For streaming consumers processing large batches (10K+ manifest entries per partition-bucket), this becomes a significant CPU bottleneck.This PR replaces it with a HashSet-based approach that reduces complexity to O(n+m):
Semantics are preserved exactly: entries common to both lists are removed from both.
PojoManifestEntryalready has correctequals()andhashCode()implementations covering all 5 fields (kind, partition, bucket, totalBuckets, file).Benchmark (simulated with identical algorithm):
Tests
SnapshotReaderTestcoverstoIncrementalPlan()behaviorAPI and Format
No API or storage format changes.
Documentation
No. This is a pure internal optimization with no user-facing changes.
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