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feat(get): consolidate GET performance optimization (#3972)
* feat(get): consolidate GET performance optimization Consolidated implementation of all GET performance optimizations into a single, well-organized commit replacing the previous patch-on-patch approach. ## Changes ### Configuration (set_disk/mod.rs) - Consolidated all GET optimization flags into a single organized section - Enabled by default: codec streaming, metadata early-stop, page cache reclaim - Added codec streaming multipart flag (default: disabled) - Added version-aware early-stop flag (default: disabled) - Added adaptive duplex buffer sizing based on object size - All flags use OnceLock caching with rollout percentage support ### Metadata Early-Stop (set_disk/read.rs) - Delete marker early-stop when quorum agrees - Version-aware early-stop for versioned GET requests - MetadataQuorumAccumulator enhanced with: - delete_marker_votes tracking - requested_version_id and matching_version_votes tracking - version_early_stop_decision() method - 6 new tests for version early-stop scenarios ### Codec Streaming (erasure/coding/decode_reader.rs) - DualInFlight (2-stripe lookahead) enabled by default ### Decode Pipeline (erasure/coding/decode.rs) - Stripe prefetch count configuration - Bitrot-decode overlap configuration ### Disk Layer (disk/local.rs) - O_DIRECT read configuration constants (preparation) ### Metrics (io-metrics/lib.rs) - BytesPool acquisition/return metrics - Metadata phase duration with early-stop label - Total duration with reader_path label ### Diagnostics (diagnostics/) - Early-stop reason constants - Pool tier/outcome label constants ### Observability (.docker/observability/) - 3 Grafana dashboards for GET optimization monitoring - Prometheus alert rules (6 alerts: 3 critical, 3 warning) - Updated README.md and README_ZH.md with usage docs ### Config (config/src/constants/runtime.rs) - Page cache reclaim read enabled by default ## Environment Variables | Variable | Default | Description | |----------|---------|-------------| | RUSTFS_GET_CODEC_STREAMING_ENABLE | true | Codec streaming base flag | | RUSTFS_GET_CODEC_STREAMING_ROLLOUT_PCT | 100 | Codec streaming rollout % | | RUSTFS_GET_CODEC_STREAMING_MULTIPART_ENABLE | false | Multipart codec streaming | | RUSTFS_GET_METADATA_EARLY_STOP_ENABLE | true | Early-stop base flag | | RUSTFS_GET_METADATA_EARLY_STOP_ROLLOUT_PCT | 100 | Early-stop rollout % | | RUSTFS_GET_METADATA_VERSION_EARLY_STOP_ENABLE | false | Version-aware early-stop | | RUSTFS_OBJECT_FILE_CACHE_RECLAIM_READ_ENABLE | true | Page cache reclaim | | RUSTFS_OBJECT_DIRECT_IO_READ_ENABLE | false | O_DIRECT (preparation) | | RUSTFS_GET_DECODE_STRIPE_PREFETCH_COUNT | 1 | Stripe prefetch | | RUSTFS_GET_BITROT_DECODE_OVERLAP_ENABLE | false | Bitrot-decode overlap | | RUSTFS_GET_CODEC_STREAMING_MAX_INFLIGHT | 2 | DualInFlight stripes | ## Rollback All optimizations can be disabled via environment variables: RUSTFS_GET_CODEC_STREAMING_ENABLE=false RUSTFS_GET_METADATA_EARLY_STOP_ENABLE=false RUSTFS_OBJECT_FILE_CACHE_RECLAIM_READ_ENABLE=false Co-Authored-By: heihutu <heihutu@gmail.com> * test(get): add stress test scripts for GET optimization validation - quick-validate-get-optimization.sh: Quick 5-minute validation - stress-test-get-optimization.sh: Full 30+ minute stress test - README-stress-test.md: Usage documentation Co-Authored-By: heihutu <heihutu@gmail.com> * test(ecstore): align file cache reclaim defaults * chore(deps): update redis and erasure codec * test(ecstore): align decode fill policy default * test(ecstore): align metadata early-stop default * fix(ecstore): keep metadata early stop opt-in --------- Co-authored-by: heihutu <heihutu@gmail.com>
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@@ -34,6 +34,56 @@ If you want the Kafka-backed HA Tempo path, use `docker-compose-example-for-rust
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- **High Performance**: Optimized configurations for batching, compression, and memory management.
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- **Standardized Protocols**: Built entirely on OpenTelemetry standards.
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## GET Performance Optimization Dashboards
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Three pre-built Grafana dashboards are included for monitoring RustFS GET performance optimization rollout:
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### Available Dashboards
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| Dashboard | File | Description |
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|-----------|------|-------------|
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| **GET Rollout Health** | `grafana-get-rollout-health.json` | Monitors optimization rollout: latency by reader path, early-stop hit rate, codec streaming usage, pipeline failures |
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| **GET Data Integrity** | `grafana-get-data-integrity.json` | Monitors data safety: bitrot verify failures, decode errors, short reads, shard read outcomes |
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| **GET Resource Impact** | `grafana-get-resource-impact.json` | Monitors resource usage: concurrent requests, IO queue utilization, disk permit wait, RSS trend |
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### Prometheus Alert Rules
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The file `prometheus-rules/rustfs-get-optimization-alerts.yaml` contains pre-configured alerting rules:
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| Alert | Severity | Condition |
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|-------|----------|-----------|
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| `GetP99Regression` | Critical | GET p99 latency > 2x baseline for 10m |
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| `PipelineFailureSpike` | Critical | Pipeline failure rate > 5x baseline for 5m |
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| `BitrotMismatchSpike` | Critical | Bitrot mismatch rate > 3x baseline for 5m |
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| `EarlyStopInsufficientQuorum` | Warning | Early-stop insufficient quorum rate > 0.1/s for 5m |
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| `CodecStreamingFallbackSpike` | Warning | Codec streaming fallback > 10x baseline for 10m |
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| `IoQueueSaturation` | Warning | IO queue utilization > 90% for 5m |
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### Enabling Alert Rules
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Add the alert rules file to your Prometheus configuration:
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```yaml
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# prometheus.yml
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rule_files:
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- "/etc/prometheus/rules/*.yml"
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# Or mount the file in docker-compose.yml:
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# volumes:
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# - ./prometheus-rules:/etc/prometheus/rules
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```
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### Dashboard Usage
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The dashboards are automatically provisioned when Grafana starts. They use the `${DS_PROMETHEUS}` datasource variable, so you need a Prometheus datasource configured in Grafana.
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Key panels to monitor during optimization rollout:
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1. **GET Latency by Reader Path** - Compare `codec_streaming` vs `legacy_duplex` latency
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2. **Early-Stop Hit Rate** - Verify early-stop is triggering effectively
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3. **Pipeline Failure Rate** - Detect any new failure modes introduced by optimizations
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4. **Bitrot Verify Failures** - Ensure data integrity is maintained
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## Quick Start
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### Prerequisites
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