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>
This commit is contained in:
houseme
2026-06-28 07:14:07 +08:00
committed by GitHub
parent 512418cda9
commit 27468ebfa9
22 changed files with 2886 additions and 71 deletions
+50
View File
@@ -34,6 +34,56 @@ If you want the Kafka-backed HA Tempo path, use `docker-compose-example-for-rust
- **High Performance**: Optimized configurations for batching, compression, and memory management.
- **Standardized Protocols**: Built entirely on OpenTelemetry standards.
## GET Performance Optimization Dashboards
Three pre-built Grafana dashboards are included for monitoring RustFS GET performance optimization rollout:
### Available Dashboards
| Dashboard | File | Description |
|-----------|------|-------------|
| **GET Rollout Health** | `grafana-get-rollout-health.json` | Monitors optimization rollout: latency by reader path, early-stop hit rate, codec streaming usage, pipeline failures |
| **GET Data Integrity** | `grafana-get-data-integrity.json` | Monitors data safety: bitrot verify failures, decode errors, short reads, shard read outcomes |
| **GET Resource Impact** | `grafana-get-resource-impact.json` | Monitors resource usage: concurrent requests, IO queue utilization, disk permit wait, RSS trend |
### Prometheus Alert Rules
The file `prometheus-rules/rustfs-get-optimization-alerts.yaml` contains pre-configured alerting rules:
| Alert | Severity | Condition |
|-------|----------|-----------|
| `GetP99Regression` | Critical | GET p99 latency > 2x baseline for 10m |
| `PipelineFailureSpike` | Critical | Pipeline failure rate > 5x baseline for 5m |
| `BitrotMismatchSpike` | Critical | Bitrot mismatch rate > 3x baseline for 5m |
| `EarlyStopInsufficientQuorum` | Warning | Early-stop insufficient quorum rate > 0.1/s for 5m |
| `CodecStreamingFallbackSpike` | Warning | Codec streaming fallback > 10x baseline for 10m |
| `IoQueueSaturation` | Warning | IO queue utilization > 90% for 5m |
### Enabling Alert Rules
Add the alert rules file to your Prometheus configuration:
```yaml
# prometheus.yml
rule_files:
- "/etc/prometheus/rules/*.yml"
# Or mount the file in docker-compose.yml:
# volumes:
# - ./prometheus-rules:/etc/prometheus/rules
```
### Dashboard Usage
The dashboards are automatically provisioned when Grafana starts. They use the `${DS_PROMETHEUS}` datasource variable, so you need a Prometheus datasource configured in Grafana.
Key panels to monitor during optimization rollout:
1. **GET Latency by Reader Path** - Compare `codec_streaming` vs `legacy_duplex` latency
2. **Early-Stop Hit Rate** - Verify early-stop is triggering effectively
3. **Pipeline Failure Rate** - Detect any new failure modes introduced by optimizations
4. **Bitrot Verify Failures** - Ensure data integrity is maintained
## Quick Start
### Prerequisites
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@@ -34,6 +34,56 @@
- **高性能**: 针对批处理、压缩和内存管理进行了优化配置。
- **标准化协议**: 完全基于 OpenTelemetry 标准构建。
## GET 性能优化仪表盘
包含三个预构建的 Grafana 仪表盘,用于监控 RustFS GET 性能优化发布:
### 可用仪表盘
| 仪表盘 | 文件 | 描述 |
|--------|------|------|
| **GET 发布健康度** | `grafana-get-rollout-health.json` | 监控优化发布:按 reader path 的延迟、early-stop 命中率、codec streaming 使用率、pipeline 失败率 |
| **GET 数据完整性** | `grafana-get-data-integrity.json` | 监控数据安全:bitrot 校验失败、decode 错误、short read、shard 读取结果 |
| **GET 资源影响** | `grafana-get-resource-impact.json` | 监控资源使用:并发请求数、IO 队列利用率、disk permit 等待、RSS 趋势 |
### Prometheus 告警规则
文件 `prometheus-rules/rustfs-get-optimization-alerts.yaml` 包含预配置的告警规则:
| 告警 | 级别 | 条件 |
|------|------|------|
| `GetP99Regression` | 严重 | GET p99 延迟 > 2x 基线,持续 10 分钟 |
| `PipelineFailureSpike` | 严重 | Pipeline 失败率 > 5x 基线,持续 5 分钟 |
| `BitrotMismatchSpike` | 严重 | Bitrot 不匹配率 > 3x 基线,持续 5 分钟 |
| `EarlyStopInsufficientQuorum` | 警告 | Early-stop quorum 不足率 > 0.1/s,持续 5 分钟 |
| `CodecStreamingFallbackSpike` | 警告 | Codec streaming 回退 > 10x 基线,持续 10 分钟 |
| `IoQueueSaturation` | 警告 | IO 队列利用率 > 90%,持续 5 分钟 |
### 启用告警规则
在 Prometheus 配置中添加告警规则文件:
```yaml
# prometheus.yml
rule_files:
- "/etc/prometheus/rules/*.yml"
# 或在 docker-compose.yml 中挂载文件:
# volumes:
# - ./prometheus-rules:/etc/prometheus/rules
```
### 仪表盘使用
仪表盘在 Grafana 启动时自动预置。它们使用 `${DS_PROMETHEUS}` 数据源变量,因此需要在 Grafana 中配置 Prometheus 数据源。
优化发布期间需要关注的关键面板:
1. **GET 延迟按 Reader Path** - 对比 `codec_streaming` vs `legacy_duplex` 延迟
2. **Early-Stop 命中率** - 验证 early-stop 是否有效触发
3. **Pipeline 失败率** - 检测优化引入的新故障模式
4. **Bitrot 校验失败** - 确保数据完整性
## 快速开始
### 前置条件
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@@ -0,0 +1,525 @@
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"spanNulls": false,
"thresholdsStyle": {
"mode": "off"
}
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"id": 3,
"options": {
"reduceOptions": {
"values": false,
"calcs": ["lastNotNull"],
"fields": ""
},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["mean", "max"]
}
},
"title": "Disk Permit Wait Duration (p50 / p95 / p99)",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "histogram_quantile(0.50, sum(rate(rustfs_io_disk_permit_wait_duration_seconds_bucket[$__rate_interval])) by (le))",
"legendFormat": "p50",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "histogram_quantile(0.95, sum(rate(rustfs_io_disk_permit_wait_duration_seconds_bucket[$__rate_interval])) by (le))",
"legendFormat": "p95",
"refId": "B"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "histogram_quantile(0.99, sum(rate(rustfs_io_disk_permit_wait_duration_seconds_bucket[$__rate_interval])) by (le))",
"legendFormat": "p99",
"refId": "C"
}
]
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"unit": "bytes",
"custom": {
"drawStyle": "line",
"lineInterpolation": "smooth",
"fillOpacity": 15,
"pointSize": 5,
"lineWidth": 1,
"showPoints": "auto",
"spanNulls": false,
"thresholdsStyle": {
"mode": "off"
}
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"id": 4,
"options": {
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},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["lastNotNull"]
}
},
"title": "RSS Trend (Process Memory)",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "process_resident_memory_bytes{job=~\"rustfs.*\"}",
"legendFormat": "RSS {{instance}}",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "rustfs_process_memory_bytes",
"legendFormat": "RustFS memory {{instance}}",
"refId": "B"
}
]
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"drawStyle": "line",
"lineInterpolation": "smooth",
"fillOpacity": 10,
"pointSize": 5,
"lineWidth": 1,
"showPoints": "auto",
"spanNulls": false,
"thresholdsStyle": {
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}
},
"thresholds": {
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"steps": [
{
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},
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"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
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"fields": ""
},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["mean", "max"]
}
},
"title": "IO Queue Operations by Priority",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(rustfs_io_queue_operations[$__rate_interval])) by (operation, priority)",
"legendFormat": "{{operation}} / {{priority}}",
"refId": "A"
}
]
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"drawStyle": "line",
"lineInterpolation": "smooth",
"fillOpacity": 15,
"pointSize": 5,
"lineWidth": 1,
"showPoints": "auto",
"spanNulls": false,
"thresholdsStyle": {
"mode": "off"
}
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
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"calcs": ["lastNotNull"],
"fields": ""
},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["sum"]
}
},
"title": "IO Queue Congestion Events",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(rustfs_io_queue_congestion_total[$__rate_interval]))",
"legendFormat": "congestion events/s",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(rustfs_io_get_object_timeout_total[$__rate_interval])) by (stage)",
"legendFormat": "timeout {{stage}}",
"refId": "B"
}
]
}
],
"refresh": "30s",
"schemaVersion": 38,
"style": "dark",
"tags": ["rustfs", "get-optimization", "resource-impact"],
"templating": {
"list": [
{
"current": {
"selected": false,
"text": "Prometheus",
"value": "Prometheus"
},
"hide": 0,
"includeAll": false,
"multi": false,
"name": "DS_PROMETHEUS",
"options": [],
"query": "prometheus",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource"
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "RustFS GET Resource Impact",
"uid": "rustfs-get-resource-impact",
"version": 1
}
@@ -0,0 +1,530 @@
{
"annotations": {
"list": []
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"liveNow": false,
"panels": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"unit": "s",
"custom": {
"drawStyle": "line",
"lineInterpolation": "smooth",
"fillOpacity": 10,
"pointSize": 5,
"lineWidth": 1,
"showPoints": "auto",
"spanNulls": false,
"axisLabel": "",
"axisColorMode": "text",
"scaleDistribution": {
"type": "linear"
},
"thresholdsStyle": {
"mode": "off"
}
},
"thresholds": {
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"steps": [
{
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"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
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},
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"calcs": ["lastNotNull"],
"fields": ""
},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["mean", "max"]
}
},
"title": "GET Latency by Reader Path (p50 / p95 / p99)",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "histogram_quantile(0.50, sum(rate(rustfs_io_get_object_stage_duration_seconds_bucket{stage=\"total\"}[$__rate_interval])) by (le, path))",
"legendFormat": "p50 {{path}}",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "histogram_quantile(0.95, sum(rate(rustfs_io_get_object_stage_duration_seconds_bucket{stage=\"total\"}[$__rate_interval])) by (le, path))",
"legendFormat": "p95 {{path}}",
"refId": "B"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "histogram_quantile(0.99, sum(rate(rustfs_io_get_object_stage_duration_seconds_bucket{stage=\"total\"}[$__rate_interval])) by (le, path))",
"legendFormat": "p99 {{path}}",
"refId": "C"
}
]
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"unit": "percentunit",
"min": 0,
"max": 1,
"custom": {
"drawStyle": "line",
"lineInterpolation": "smooth",
"fillOpacity": 15,
"pointSize": 5,
"lineWidth": 1,
"showPoints": "auto",
"spanNulls": false,
"thresholdsStyle": {
"mode": "off"
}
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "yellow",
"value": 0.3
},
{
"color": "red",
"value": 0.7
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
},
"id": 2,
"options": {
"reduceOptions": {
"values": false,
"calcs": ["lastNotNull"],
"fields": ""
},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["mean", "max"]
}
},
"title": "Early-Stop Hit Rate",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(rustfs_io_get_object_metadata_early_stop_total{decision=\"hit\"}[$__rate_interval])) by (path) / clamp_min(sum(rate(rustfs_io_get_object_metadata_early_stop_total[$__rate_interval])) by (path), 1)",
"legendFormat": "hit rate {{path}}",
"refId": "A"
}
]
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"unit": "percentunit",
"min": 0,
"max": 1,
"custom": {
"drawStyle": "line",
"lineInterpolation": "smooth",
"fillOpacity": 15,
"pointSize": 5,
"lineWidth": 1,
"showPoints": "auto",
"spanNulls": false,
"thresholdsStyle": {
"mode": "off"
}
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"id": 3,
"options": {
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"values": false,
"calcs": ["lastNotNull"],
"fields": ""
},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["mean", "max"]
}
},
"title": "Codec Streaming Usage Rate",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(rustfs_io_get_object_codec_streaming_decision_total[$__rate_interval])) by (decision) / clamp_min(sum(rate(rustfs_io_get_object_codec_streaming_decision_total[$__rate_interval])), 1)",
"legendFormat": "codec_streaming {{decision}}",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(rustfs_io_get_object_stream_strategy_total[$__rate_interval])) by (strategy) / clamp_min(sum(rate(rustfs_io_get_object_stream_strategy_total[$__rate_interval])), 1)",
"legendFormat": "stream_strategy {{strategy}}",
"refId": "B"
}
]
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"drawStyle": "bars",
"fillOpacity": 80,
"lineWidth": 0,
"pointSize": 5,
"showPoints": "never",
"spanNulls": false,
"stacking": {
"mode": "normal",
"group": "A"
},
"thresholdsStyle": {
"mode": "off"
}
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 1
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"id": 4,
"options": {
"reduceOptions": {
"values": false,
"calcs": ["lastNotNull"],
"fields": ""
},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["sum"]
}
},
"title": "Pipeline Failure Rate by Stage",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(rustfs_io_get_object_pipeline_failures_total[$__rate_interval])) by (stage, reason)",
"legendFormat": "{{stage}} / {{reason}}",
"refId": "A"
}
]
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"unit": "reqps",
"custom": {
"drawStyle": "line",
"lineInterpolation": "smooth",
"fillOpacity": 10,
"pointSize": 5,
"lineWidth": 1,
"showPoints": "auto",
"spanNulls": false,
"thresholdsStyle": {
"mode": "off"
}
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
"id": 5,
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"values": false,
"calcs": ["lastNotNull"],
"fields": ""
},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["mean", "max"]
}
},
"title": "GET Request Rate by Path",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(rustfs_io_get_object_reader_path_total[$__rate_interval])) by (path)",
"legendFormat": "{{path}}",
"refId": "A"
}
]
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"drawStyle": "line",
"lineInterpolation": "smooth",
"fillOpacity": 10,
"pointSize": 5,
"lineWidth": 1,
"showPoints": "auto",
"spanNulls": false,
"thresholdsStyle": {
"mode": "off"
}
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
"id": 6,
"options": {
"reduceOptions": {
"values": false,
"calcs": ["lastNotNull"],
"fields": ""
},
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"legend": {
"displayMode": "table",
"placement": "bottom",
"calcs": ["mean", "max"]
}
},
"title": "GET Total Latency (p50 / p95 / p99)",
"type": "timeseries",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "histogram_quantile(0.50, sum(rate(rustfs_io_get_object_total_duration_seconds_bucket[$__rate_interval])) by (le))",
"legendFormat": "p50",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "histogram_quantile(0.95, sum(rate(rustfs_io_get_object_total_duration_seconds_bucket[$__rate_interval])) by (le))",
"legendFormat": "p95",
"refId": "B"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "histogram_quantile(0.99, sum(rate(rustfs_io_get_object_total_duration_seconds_bucket[$__rate_interval])) by (le))",
"legendFormat": "p99",
"refId": "C"
}
]
}
],
"refresh": "30s",
"schemaVersion": 38,
"style": "dark",
"tags": ["rustfs", "get-optimization"],
"templating": {
"list": [
{
"current": {
"selected": false,
"text": "Prometheus",
"value": "Prometheus"
},
"hide": 0,
"includeAll": false,
"multi": false,
"name": "DS_PROMETHEUS",
"options": [],
"query": "prometheus",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource"
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "RustFS GET Rollout Health",
"uid": "rustfs-get-rollout-health",
"version": 1
}
@@ -0,0 +1,260 @@
# =============================================================================
# RustFS GET Optimization — Prometheus Alerting Rules
# =============================================================================
#
# Import into Prometheus:
# 1. Copy this file to your Prometheus rules directory
# 2. Add to prometheus.yml:
# rule_files:
# - "prometheus-alert-rules.yaml"
# 3. Validate: promtool check rules prometheus-alert-rules.yaml
# 4. Reload: curl -X POST http://localhost:9090/-/reload
#
# All metric names match those registered in crates/io-metrics/src/lib.rs
# and documented in crates/ecstore/src/diagnostics/get.rs.
#
# Baseline comparison uses "offset 1d" — adjust to "offset 7d" for weekly
# seasonality if your traffic pattern varies by day of week.
# =============================================================================
groups:
# ==========================================================================
# Critical alerts — immediate action required
# ==========================================================================
- name: rustfs-get-optimization-critical
interval: 30s
rules:
# ------------------------------------------------------------------
# 1. GetP99Regression
# GET p99 latency exceeds 2x the baseline (same time yesterday)
# sustained for 10 minutes.
# Action: Roll back the GET optimization immediately.
# ------------------------------------------------------------------
- alert: GetP99Regression
expr: |
histogram_quantile(0.99,
sum(rate(rustfs_io_get_object_total_duration_seconds_bucket[5m])) by (le)
)
>
2
*
histogram_quantile(0.99,
sum(rate(rustfs_io_get_object_total_duration_seconds_bucket[5m] offset 1d)) by (le)
)
for: 10m
labels:
severity: critical
team: rustfs-storage
area: get-optimization
annotations:
summary: "GET p99 latency regression detected (>2x baseline for 10m)"
description: >-
The 99th-percentile GET object latency is {{ $value | humanizeDuration }}
which is more than double the baseline measured 24 hours ago.
This indicates a severe performance regression introduced by
a recent GET optimization change.
runbook_url: "https://internal.wiki/runbooks/rustfs/get-p99-regression"
action: >
1. Verify the regression is not caused by external factors
(disk health, network, load spike).
2. If confirmed optimization-related, roll back:
- Set RUSTFS_GET_CODEC_STREAMING=0
- Set RUSTFS_GET_METADATA_EARLY_STOP=0
- Restart affected nodes.
3. Collect flamegraphs and open a P0 incident.
# ------------------------------------------------------------------
# 2. PipelineFailureSpike
# Pipeline failure rate exceeds 5x the baseline sustained for
# 5 minutes. Covers all failure reasons: bitrot_mismatch,
# decode_error, downstream_closed, io, read_quorum, timeout, etc.
# Action: Investigate pipeline health and roll back if needed.
# ------------------------------------------------------------------
- alert: PipelineFailureSpike
expr: |
sum(rate(rustfs_io_get_object_pipeline_failures_total[5m]))
>
5
*
sum(rate(rustfs_io_get_object_pipeline_failures_total[5m] offset 1d))
for: 5m
labels:
severity: critical
team: rustfs-storage
area: get-optimization
annotations:
summary: "GET pipeline failure rate spike (>5x baseline for 5m)"
description: >-
The GET pipeline failure rate is {{ $value | printf "%.2f" }}/s,
more than 5x the baseline from 24 hours ago.
Failure reasons may include: bitrot_mismatch, decode_error,
downstream_closed, io, range_or_length_invalid, read_quorum,
short_read, timeout, unknown.
runbook_url: "https://internal.wiki/runbooks/rustfs/pipeline-failure-spike"
action: >
1. Check Grafana "GET Data Integrity" dashboard for failure
breakdown by reason label.
2. If decode_error or bitrot_mismatch dominates, stop
optimization and investigate data integrity.
3. If io or timeout dominates, check disk and network health.
4. Roll back optimization if failures persist.
# ------------------------------------------------------------------
# 3. BitrotMismatchSpike
# Bitrot verification mismatch rate exceeds 3x baseline for
# 5 minutes. This is a data-integrity signal — shard checksums
# do not match after read.
#
# The "bitrot_mismatch" reason is recorded on the
# rustfs_io_get_object_pipeline_failures_total counter when a
# StorageError::FileCorrupt or DiskError::FileCorrupt /
# DiskError::PartMissingOrCorrupt is classified during the GET
# pipeline (see classify_storage_error / classify_disk_error in
# crates/ecstore/src/diagnostics/get.rs).
#
# Action: Stop optimization, investigate data integrity urgently.
# ------------------------------------------------------------------
- alert: BitrotMismatchSpike
expr: |
sum(rate(rustfs_io_get_object_pipeline_failures_total{reason="bitrot_mismatch"}[5m]))
>
3
*
sum(rate(rustfs_io_get_object_pipeline_failures_total{reason="bitrot_mismatch"}[5m] offset 1d))
for: 5m
labels:
severity: critical
team: rustfs-storage
area: get-optimization
annotations:
summary: "Bitrot mismatch rate spike (>3x baseline for 5m)"
description: >-
The rate of pipeline failures classified as bitrot_mismatch is
{{ $value | printf "%.2f" }}/s, more than 3x the baseline from
24 hours ago. This indicates shard checksum verification
failures (FileCorrupt / PartMissingOrCorrupt) which may point
to data corruption introduced by the GET optimization pipeline
(e.g., incorrect decode, buffer reuse bug).
runbook_url: "https://internal.wiki/runbooks/rustfs/bitrot-mismatch-spike"
action: >
1. Immediately disable codec streaming:
RUSTFS_GET_CODEC_STREAMING=0
2. Run "mc admin scan" on affected buckets to verify on-disk
integrity independent of the GET path.
3. Compare xl.meta checksums across erasure shards.
4. If corruption confirmed, initiate data recovery from parity.
5. Do NOT re-enable optimization until root cause is identified.
# ==========================================================================
# Warning alerts — investigation needed
# ==========================================================================
- name: rustfs-get-optimization-warning
interval: 30s
rules:
# ------------------------------------------------------------------
# 4. EarlyStopInsufficientQuorum
# The metadata early-stop path is hitting "insufficient_quorum"
# at a rate above 0.1/s for 5 minutes. This means too many
# disks are failing to return valid metadata in time.
# Action: Check disk health and metadata fanout latency.
# ------------------------------------------------------------------
- alert: EarlyStopInsufficientQuorum
expr: |
sum(rate(rustfs_io_get_object_metadata_early_stop_total{reason="insufficient_quorum"}[5m]))
> 0.1
for: 5m
labels:
severity: warning
team: rustfs-storage
area: get-optimization
annotations:
summary: "Early-stop insufficient quorum rate elevated (>0.1/s for 5m)"
description: >-
The metadata early-stop path is returning "insufficient_quorum"
at {{ $value | printf "%.3f" }}/s. This means the bounded
metadata fanout cannot gather enough valid responses before
the quorum deadline, suggesting disk or network issues.
runbook_url: "https://internal.wiki/runbooks/rustfs/early-stop-quorum"
action: >
1. Check disk health: mc admin info --json | jq '.disks'
2. Review rustfs_io_get_object_metadata_response_total by
outcome (error, timeout, disk_not_found) in Grafana.
3. Check rustfs_io_disk_permit_wait_duration_seconds for
I/O scheduler saturation.
4. If disks are healthy, consider increasing the early-stop
timeout or temporarily disabling early-stop.
# ------------------------------------------------------------------
# 5. CodecStreamingFallbackSpike
# The codec streaming fallback rate is >10x baseline for 10
# minutes. This means the optimized codec streaming path is
# being bypassed much more often than expected.
# Action: Check fallback reasons and object eligibility.
# ------------------------------------------------------------------
- alert: CodecStreamingFallbackSpike
expr: |
sum(rate(rustfs_io_get_object_codec_streaming_fallback_total[5m]))
>
10
*
sum(rate(rustfs_io_get_object_codec_streaming_fallback_total[5m] offset 1d))
for: 10m
labels:
severity: warning
team: rustfs-storage
area: get-optimization
annotations:
summary: "Codec streaming fallback rate spike (>10x baseline for 10m)"
description: >-
The codec streaming fallback rate is {{ $value | printf "%.2f" }}/s,
more than 10x the baseline from 24 hours ago. Fallback reasons
are labeled by "reason" — check Grafana for breakdown.
Common reasons: object too small, multipart not supported,
unsupported erasure layout, feature flag disabled.
runbook_url: "https://internal.wiki/runbooks/rustfs/codec-fallback-spike"
action: >
1. Query by reason label:
sum by (reason) (rate(rustfs_io_get_object_codec_streaming_fallback_total[5m]))
2. If dominated by a single reason, investigate why that
condition became more frequent (e.g., workload change,
configuration drift).
3. Cross-reference with rustfs_io_get_object_reader_path_total
to verify the fallback path (legacy_duplex) is healthy.
4. If fallback is expected (e.g., workload shifted to small
objects), update the alert baseline.
# ------------------------------------------------------------------
# 6. IoQueueSaturation
# I/O queue utilization exceeds 90% for 5 minutes. High
# utilization causes disk permit wait latency to increase and
# can cascade into pipeline timeouts.
# Action: Check disk load and consider reducing concurrency.
# ------------------------------------------------------------------
- alert: IoQueueSaturation
expr: |
rustfs_io_queue_utilization_percent > 90
for: 5m
labels:
severity: warning
team: rustfs-storage
area: get-optimization
annotations:
summary: "I/O queue utilization >90% for 5m"
description: >-
The I/O queue utilization is {{ $value | printf "%.1f" }}%,
sustained above 90% for 5 minutes. This indicates the disk
I/O scheduler is near saturation, which will increase
rustfs_io_disk_permit_wait_duration_seconds and may trigger
pipeline timeouts.
runbook_url: "https://internal.wiki/runbooks/rustfs/io-queue-saturation"
action: >
1. Check disk I/O metrics (iostat, node_exporter) for
individual disk saturation.
2. Review rustfs_io_queue_permits_in_use vs
rustfs_io_queue_permits_available for permit exhaustion.
3. Check rustfs_io_starvation_events for priority starvation.
4. If GET optimization increased concurrency, consider:
- Reducing RUSTFS_GET_PIPELINE_PARALLELISM
- Lowering RUSTFS_IO_QUEUE_PERMITS
5. If caused by background operations (ILM, healing), throttle
those before adjusting GET concurrency.