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fix(object-data-cache): make GET body cache key write-unique and dedup lookups Address four object-data-cache GET-path findings (backlog#1107 batch): ODC-06 (backlog#1111): the cache key was content-unique, not write-unique. Extend ObjectDataCacheKey with the resolved version's modification time (i128 unix nanoseconds, None -> 0), derived once in the shared planner so the ecstore hook and the usecase layer produce an identical key. An unversioned overwrite advances mod_time, so a stale node can no longer serve old bytes for up to the TTL under an MD5 collision; etag + size stay as belt-and-braces. ODC-16 (backlog#1121): every cacheable GET planned and looked up twice (once in the ecstore hook, once in the usecase layer), double-counting hits, hit_bytes and lookups. GetObjectReader now carries a GetObjectBodySource marker (Unprobed / HookMissed / HookServed); the hook stamps it, and build_get_object_body_with_cache serves a hook-served body directly and skips its lookup whenever the hook already probed. One hook-served GET now records exactly one lookup. ODC-19 (backlog#1124): ENABLE=true with no explicit mode defaulted to HitOnly, which never fills and keeps a permanent 0% hit rate. Default to FillBufferedOnly, log the resolved mode at startup, and warn when HitOnly is selected explicitly. ODC-24 (backlog#1129): max_entry_bytes above the in-memory GET fill limits was silently inert. Clamp the planner's size eligibility to min(max_entry_bytes, seek-support threshold, 64 MiB buffer cap) so ineligible sizes plan SkipTooLarge instead of being reported eligible, and warn at startup when the excess is inert. Co-authored-by: heihutu <heihutu@gmail.com>
RustFS ECStore - Erasure Coding Storage
High-performance erasure coding storage engine for RustFS distributed object storage
📖 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.
📄 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