Files
rustfs/crates/ecstore
houseme 968ec4a8be perf(get): enable inline direct-read by default + versioned buckets (#1802) (#5966)
A small object whose data shards are inlined in xl.meta can be reassembled
straight from the already-resolved metadata, skipping the Erasure reconstruct
pipeline. The fast path existed but was opt-in
(`RUSTFS_GET_SMALL_OBJECT_DIRECT_MEMORY`, default off), so every deployment
paid the full shard-read fan-out for eligible small GETs by default.

- Flip `DEFAULT_RUSTFS_GET_SMALL_OBJECT_DIRECT_MEMORY` to `true`. The path is
  correctness-neutral on a miss: `try_get_object_direct_data_shards_*` returns
  None when the inline reassembly cannot satisfy the read, and the GET then
  proceeds through the normal shard-read pipeline. The env stays as a kill
  switch (`=false` restores the legacy path).
- Drop the bucket-level `versioned` / `version_suspended` exclusions. The
  decision is made on `fi` — the already-resolved target version — so
  reassembling its inlined data is correct on a versioned bucket too. An
  explicit versionId GET still falls back (`opts.version_id`), and a
  delete-marker latest is still rejected. The two now-unused fallback reasons
  and their metric labels are removed.
- Tests updated: a versioned latest-version object is now eligible / `Use`
  (covers the newly allowed path); the removed reasons' label assertions are
  dropped.

cargo check --lib --tests and the direct_memory unit tests pass on macOS
(the change is fully cross-platform).

Co-authored-by: heihutu <heihutu@gmail.com>
2026-08-12 02:06:39 +00:00
..

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

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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