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rustfs/crates/ecstore
Zhengchao An ab35681928 perf(ecstore): memoize bucket-incarnation fence validation under lifecycle read-lock coverage (#5782)
* perf(ecstore): memoize bucket-incarnation fence validation under lifecycle read-lock coverage

The PUT commit fence from #5648 validated the bucket incarnation with an uncached read (a distributed metadata-transaction read lock plus an EC quorum read of bucket metadata) on every PUT commit. Under 64-concurrency 4KiB PUT load this adds two quorum round-trips per PUT and the resulting lock-manager pressure produced ~1,000 client-visible 'Lock acquisition timeout' failures per 5-minute window (see rustfs/backlog#1776).

Memoize the validation per node while lifecycle read-lock coverage is continuous: bucket deletion/recreation requires the lifecycle WRITE lock, so while at least one read guard on this node has been held continuously the incarnation cannot have changed. The first fenced PUT in a coverage window performs the exact authoritative disk validation as before; overlapping PUTs reuse its result. The memo clears when the node's last guard drops or any guard observes a lost lock, so the next PUT revalidates from disk. Fence semantics are unchanged; only the redundant re-validations under continuous coverage are elided.

Also right-size the s3s footprint ratchet baselines: -1 s3_error! line from this change's error-path consolidation, and +1 s3s-importing file inherited from #5763 (crates/obs/src/telemetry/filter.rs) which landed on main without the baseline bump.

* fix(ecstore): carry the bucket fence registry through the rebalance test store

The rebalance entry test constructor landed on main after this branch was cut and needs the new field.
2026-08-07 15:05:48 +00:00
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RustFS

RustFS ECStore - Erasure Coding Storage

High-performance erasure coding storage engine for RustFS distributed object storage

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📖 Overview

RustFS ECStore provides erasure coding storage capabilities for the RustFS distributed object storage system. For the complete RustFS experience, please visit the main RustFS repository.

Features

  • Reed-Solomon erasure coding implementation
  • Configurable redundancy levels (N+K schemes)
  • Automatic data healing and reconstruction
  • Multi-drive support with intelligent placement
  • Parallel encoding/decoding for performance
  • Efficient disk space utilization

📚 Documentation

For comprehensive documentation, examples, and usage guides, please visit the main RustFS repository.

📄 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Copyright 2024 RustFS Team

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