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rustfs/crates/io-metrics/src/collector.rs
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2026-03-30 00:30:57 +08:00

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Rust

// 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.
//! Metrics collector for I/O operation tracking and latency analysis.
//!
//! Provides latency percentile calculation (P50, P95, P99) and automatic
//! reporting to the `metrics` crate for OTEL export.
use super::performance::PerformanceMetrics;
use std::collections::VecDeque;
use std::sync::Arc;
use std::sync::atomic::Ordering;
use std::time::Duration;
use tokio::sync::RwLock;
/// Metrics collector for tracking I/O operations and computing latency percentiles.
///
/// Maintains a sliding window of I/O latency samples and updates P95/P99 metrics.
/// Automatically reports to the `metrics` crate for OTEL export.
pub struct MetricsCollector {
/// The underlying metrics (shared reference)
metrics: Arc<PerformanceMetrics>,
/// I/O latency samples for percentile calculation
io_latency_samples: RwLock<VecDeque<Duration>>,
/// Maximum number of latency samples to keep
max_latency_samples: usize,
}
impl MetricsCollector {
/// Create a new metrics collector.
///
/// # Arguments
///
/// * `metrics` - The underlying metrics structure to update
/// * `max_latency_samples` - Maximum number of latency samples to keep for percentile calculation
pub fn new(metrics: Arc<PerformanceMetrics>, max_latency_samples: usize) -> Self {
Self {
metrics,
io_latency_samples: RwLock::new(VecDeque::new()),
max_latency_samples,
}
}
/// Create a new metrics collector with default settings (1000 max samples).
pub fn with_default_max_samples(metrics: Arc<PerformanceMetrics>) -> Self {
Self::new(metrics, 1000)
}
/// Record an I/O operation with its duration.
///
/// This method:
/// 1. Updates byte counters in PerformanceMetrics
/// 2. Updates operation counters in PerformanceMetrics
/// 3. Records latency for P95/P99 calculation
/// 4. Reports to the `metrics` crate for OTEL export
///
/// # Arguments
///
/// * `bytes` - Number of bytes transferred
/// * `duration` - Duration of the I/O operation
/// * `is_read` - true for read operations, false for writes
pub async fn record_io_operation(&self, bytes: u64, duration: Duration, is_read: bool) {
// Update byte counters in PerformanceMetrics
if is_read {
self.metrics.record_bytes_read(bytes);
} else {
self.metrics.record_bytes_written(bytes);
}
// Update operation counters in PerformanceMetrics
if is_read {
self.metrics.record_disk_read();
} else {
self.metrics.record_disk_write();
}
// Report to metrics crate for OTEL export
crate::record_data_transfer(bytes, duration.as_millis() as f64);
// Record latency sample for percentile calculation
let mut samples = self.io_latency_samples.write().await;
samples.push_back(duration);
// Keep only the most recent samples (O(1) removal from front)
if samples.len() > self.max_latency_samples {
samples.pop_front();
}
// Update latency percentiles
drop(samples); // Release write lock before calling update
self.update_latency_percentiles().await;
}
/// Update the latency percentile metrics (P50, P95, P99).
///
/// Calculates percentiles from the sliding window of latency samples
/// and updates both PerformanceMetrics and reports to metrics crate.
async fn update_latency_percentiles(&self) {
let samples: tokio::sync::RwLockReadGuard<'_, VecDeque<Duration>> = self.io_latency_samples.read().await;
if samples.is_empty() {
return;
}
// Sort samples to calculate percentiles
let mut sorted: Vec<u128> = samples.iter().map(|d| d.as_micros()).collect();
drop(samples); // Release read lock before sort
sorted.sort();
let len = sorted.len();
// Calculate average (P50)
let sum: u128 = sorted.iter().sum();
let avg = (sum / len as u128) as u64;
// Update PerformanceMetrics
self.metrics.avg_io_latency_us.store(avg, Ordering::Relaxed);
// Report to metrics crate
crate::record_io_latency(avg as f64 / 1000.0); // Convert to ms
// Calculate P95
let p95_idx = ((len as f64) * 0.95) as usize;
if let Some(&p95) = sorted.get(p95_idx.min(len - 1)) {
self.metrics.p95_io_latency_us.store(p95 as u64, Ordering::Relaxed);
crate::record_io_latency_p95(p95 as f64 / 1000.0);
}
// Calculate P99
let p99_idx = ((len as f64) * 0.99) as usize;
if let Some(&p99) = sorted.get(p99_idx.min(len - 1)) {
self.metrics.p99_io_latency_us.store(p99 as u64, Ordering::Relaxed);
crate::record_io_latency_p99(p99 as f64 / 1000.0);
}
}
/// Get the number of recorded latency samples.
pub async fn sample_count(&self) -> usize {
self.io_latency_samples.read().await.len()
}
/// Get the maximum number of samples this collector will retain.
pub fn max_samples(&self) -> usize {
self.max_latency_samples
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_collector_creation() {
let metrics = Arc::new(PerformanceMetrics::new());
let collector = MetricsCollector::with_default_max_samples(metrics);
assert_eq!(collector.max_samples(), 1000);
}
#[tokio::test]
async fn test_record_io_basic() {
let metrics = Arc::new(PerformanceMetrics::new());
let collector = MetricsCollector::new(metrics.clone(), 10);
collector.record_io_operation(1024, Duration::from_millis(10), true).await;
assert_eq!(metrics.total_bytes_read.load(Ordering::Relaxed), 1024);
assert_eq!(metrics.disk_read_count.load(Ordering::Relaxed), 1);
assert_eq!(collector.sample_count().await, 1);
}
#[tokio::test]
async fn test_latency_percentiles() {
let metrics = Arc::new(PerformanceMetrics::new());
let collector = MetricsCollector::new(metrics.clone(), 10);
// Record some latencies
collector.record_io_operation(0, Duration::from_micros(100), true).await;
collector.record_io_operation(0, Duration::from_micros(200), true).await;
collector.record_io_operation(0, Duration::from_micros(300), true).await;
collector.record_io_operation(0, Duration::from_micros(400), true).await;
collector.record_io_operation(0, Duration::from_micros(500), true).await;
// Check average
let avg = metrics.avg_io_latency_us.load(Ordering::Relaxed);
assert_eq!(avg, 300); // (100+200+300+400+500) / 5
// Check percentiles
let p95 = metrics.p95_io_latency_us.load(Ordering::Relaxed);
let p99 = metrics.p99_io_latency_us.load(Ordering::Relaxed);
// P95 should be close to 500 (5th element)
// P99 should be 500 (same as max)
assert!(p95 >= 400); // Allow some tolerance
assert_eq!(p99, 500);
}
#[tokio::test]
async fn test_sample_limit() {
let metrics = Arc::new(PerformanceMetrics::new());
let collector = MetricsCollector::new(metrics.clone(), 5); // Max 5 samples
// Record more than the limit
for _ in 0..10 {
collector.record_io_operation(0, Duration::from_millis(1), true).await;
}
// Should only keep 5 samples
assert_eq!(collector.sample_count().await, 5);
}
#[tokio::test]
async fn test_read_write_distinction() {
let metrics = Arc::new(PerformanceMetrics::new());
let collector = MetricsCollector::new(metrics.clone(), 10);
collector.record_io_operation(1024, Duration::from_millis(10), true).await;
collector.record_io_operation(2048, Duration::from_millis(5), false).await;
assert_eq!(metrics.total_bytes_read.load(Ordering::Relaxed), 1024);
assert_eq!(metrics.total_bytes_written.load(Ordering::Relaxed), 2048);
assert_eq!(metrics.disk_read_count.load(Ordering::Relaxed), 1);
assert_eq!(metrics.disk_write_count.load(Ordering::Relaxed), 1);
}
}