feat: retry, concurrency control, and parallel DB optimizations#29
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feat: retry, concurrency control, and parallel DB optimizations#29
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…B layer - Add retry with exponential backoff (429/500/502/503/504 + network errors) to DeeplakeApi.query() — recovers transient failures that previously crashed sessions entirely - Add concurrency semaphore (max 5 in-flight requests) to prevent rate-limit cascading under load - Add retry to listTables() for resilient table setup - Parallelize flush in DeeplakeFs — upserts run via Promise.allSettled with failed writes re-queued for retry, throws on partial failure for durability - Parallelize bootstrap — sync + memory + sessions metadata load concurrently - Fix appendFile cache invalidation — content cache was stale after SQL append - Single-query grep in pre-tool-use hook — 6 HTTP round-trips reduced to 1 - Skip session bootstrap when sync fails to prevent stale data population Benchmark results (real plugin code against beta API): - Baseline crashed at 50+ concurrent sessions (0 retry, no backpressure) - Optimized handles 500 sessions at 0.1% error rate - QPS ~2x where both ran (parallel flush vs sequential) - Error rate dropped from 8-40% to 0.1-0.4% across all experiments
efenocchi
approved these changes
Apr 10, 2026
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Summary
Benchmark results
Real plugin code (DeeplakeApi + DeeplakeFs), beta API, 5-10 QA rounds per session.
Test plan