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rustfs/crates/ecstore

RustFS

RustFS ECStore - Erasure Coding Storage

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

CI 📖 Documentation · 🐛 Bug Reports · 💬 Discussions


📖 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.

📈 Benchmarks

ECStore ships several Criterion benchmarks under crates/ecstore/benches/.

Direct Chunk Path

Use the direct chunk benchmark to compare the current slice-forwarding path against the previous assembled-copy path:

cargo bench -p rustfs-ecstore --bench direct_chunk_benchmark

To run only the end-to-end ECStore range-read benchmark:

cargo bench -p rustfs-ecstore --bench direct_chunk_benchmark ecstore_get_object_chunks

To run the reconstructed multi-disk range-read benchmark:

cargo bench -p rustfs-ecstore --bench reconstructed_chunk_benchmark

Saved Comparison Points

Latest local measurements on this branch:

  • direct_chunk_path/slice_forwarding/single_block_aligned: about 477 ns
  • direct_chunk_path/assembled_copy/single_block_aligned: about 3.25 us
  • direct_chunk_path/slice_forwarding/multi_block_unaligned: about 963 ns
  • direct_chunk_path/assembled_copy/multi_block_unaligned: about 7.25 us
  • ecstore_get_object_chunks/drain/multi_disk_range: about 644-654 us, throughput about 2.86-2.90 GiB/s
  • reconstructed_chunk_path/drain/multi_disk_missing_shard: about 1.292-1.304 ms, throughput about 1.43-1.45 GiB/s

These numbers are intended as branch-local reference points. Re-run the benchmark on your target machine before treating them as a regression baseline.

📄 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.

RustFS is a trademark of RustFS, Inc.
All other trademarks are the property of their respective owners.

Made with ❤️ by the RustFS Storage Team