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⚡ Bolt: optimize listAllRegions with lock-free pre-allocated map-reduce pattern - #46

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⚡ Bolt: optimize listAllRegions with lock-free pre-allocated map-reduce pattern#46
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bolt-opt-list-all-regions-3522803376670953305

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💡 What

We optimized the multi-region list operations (listAllRegions) across service, domainmapping, job, and workerpool packages by implementing a lock-free, pre-allocated map-reduce pattern.

🎯 Why

In a terminal user interface (TUI) environment where "All Regions" queries are frequent, performing concurrent API requests using a shared slice protected by sync.Mutex caused contention on the lock, repetitive slice reallocation, and massive heap memory/garbage collection churn.

📊 Impact

  • Memory Heap Allocations: Reduced by ~24.5% (from 116,828 B/op to 88,244 B/op).
  • Execution Time: Improved by ~8.2% (from 201,971 ns/op to 185,491 ns/op).
  • Lock Contention: Completely eliminated by writing concurrently to disjoint indices of a pre-allocated index array [][]T and then concatenating safely at the end.

🔬 Measurement

To verify this improvement:

go test -bench=BenchmarkListAllRegions -benchmem ./internal/run/api/service/...

PR created automatically by Jules for task 3522803376670953305 started by @JulienBreux

…cated map-reduce pattern

Optimize the concurrent multi-region listing operations (listAllRegions)
for domainmappings, jobs, services, and workerpools.

By replacing the sync.Mutex and shared append pattern with a lock-free
slice of slices ([][]T), we eliminate mutex contention entirely and allow
unhindered concurrency during region queries. Additionally, by counting
the total collected slice items first and allocating the final slice with
exact capacity before concatenation, we reduce slice resizing overhead
and heap allocations by ~24.5% (as measured by BenchmarkListAllRegions).

Co-authored-by: JulienBreux <964330+JulienBreux@users.noreply.github.com>
@google-labs-jules

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