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7172e151de
Co-authored-by: heihutu <heihutu@gmail.com> Co-authored-by: houseme <housemecn@gmail.com>
235 lines
8.6 KiB
Rust
235 lines
8.6 KiB
Rust
// Copyright 2024 RustFS Team
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//! Metrics collector for I/O operation tracking and latency analysis.
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//!
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//! Provides latency percentile calculation (P50, P95, P99) and automatic
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//! reporting to the `metrics` crate for OTEL export.
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use super::performance::PerformanceMetrics;
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use std::collections::VecDeque;
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use std::sync::Arc;
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use std::sync::atomic::Ordering;
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use std::time::Duration;
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use tokio::sync::RwLock;
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/// Metrics collector for tracking I/O operations and computing latency percentiles.
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///
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/// Maintains a sliding window of I/O latency samples and updates P95/P99 metrics.
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/// Automatically reports to the `metrics` crate for OTEL export.
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pub struct MetricsCollector {
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/// The underlying metrics (shared reference)
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metrics: Arc<PerformanceMetrics>,
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/// I/O latency samples for percentile calculation
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io_latency_samples: RwLock<VecDeque<Duration>>,
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/// Maximum number of latency samples to keep
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max_latency_samples: usize,
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}
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impl MetricsCollector {
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/// Create a new metrics collector.
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///
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/// # Arguments
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///
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/// * `metrics` - The underlying metrics structure to update
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/// * `max_latency_samples` - Maximum number of latency samples to keep for percentile calculation
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pub fn new(metrics: Arc<PerformanceMetrics>, max_latency_samples: usize) -> Self {
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Self {
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metrics,
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io_latency_samples: RwLock::new(VecDeque::new()),
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max_latency_samples,
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}
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}
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/// Create a new metrics collector with default settings (1000 max samples).
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pub fn with_default_max_samples(metrics: Arc<PerformanceMetrics>) -> Self {
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Self::new(metrics, 1000)
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}
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/// Record an I/O operation with its duration.
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///
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/// This method:
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/// 1. Updates byte counters in PerformanceMetrics
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/// 2. Updates operation counters in PerformanceMetrics
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/// 3. Records latency for P95/P99 calculation
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/// 4. Reports to the `metrics` crate for OTEL export
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///
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/// # Arguments
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///
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/// * `bytes` - Number of bytes transferred
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/// * `duration` - Duration of the I/O operation
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/// * `is_read` - true for read operations, false for writes
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pub async fn record_io_operation(&self, bytes: u64, duration: Duration, is_read: bool) {
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// Update byte counters in PerformanceMetrics
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if is_read {
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self.metrics.record_bytes_read(bytes);
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} else {
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self.metrics.record_bytes_written(bytes);
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}
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// Update operation counters in PerformanceMetrics
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if is_read {
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self.metrics.record_disk_read();
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} else {
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self.metrics.record_disk_write();
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}
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// Report to metrics crate for OTEL export
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crate::record_data_transfer(bytes, duration.as_millis() as f64);
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// Record latency sample for percentile calculation
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let mut samples = self.io_latency_samples.write().await;
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samples.push_back(duration);
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// Keep only the most recent samples (O(1) removal from front)
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if samples.len() > self.max_latency_samples {
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samples.pop_front();
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}
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// Update latency percentiles
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drop(samples); // Release write lock before calling update
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self.update_latency_percentiles().await;
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}
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/// Update the latency percentile metrics (P50, P95, P99).
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///
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/// Calculates percentiles from the sliding window of latency samples
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/// and updates both PerformanceMetrics and reports to metrics crate.
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async fn update_latency_percentiles(&self) {
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let samples: tokio::sync::RwLockReadGuard<'_, VecDeque<Duration>> = self.io_latency_samples.read().await;
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if samples.is_empty() {
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return;
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}
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// Sort samples to calculate percentiles
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let mut sorted: Vec<u128> = samples.iter().map(|d| d.as_micros()).collect();
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drop(samples); // Release read lock before sort
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sorted.sort();
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let len = sorted.len();
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// Calculate average (P50)
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let sum: u128 = sorted.iter().sum();
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let avg = (sum / len as u128) as u64;
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// Update PerformanceMetrics
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self.metrics.avg_io_latency_us.store(avg, Ordering::Relaxed);
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// Report to metrics crate
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crate::record_io_latency(avg as f64 / 1000.0); // Convert to ms
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// Calculate P95
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let p95_idx = ((len as f64) * 0.95) as usize;
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if let Some(&p95) = sorted.get(p95_idx.min(len - 1)) {
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self.metrics.p95_io_latency_us.store(p95 as u64, Ordering::Relaxed);
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crate::record_io_latency_p95(p95 as f64 / 1000.0);
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}
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// Calculate P99
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let p99_idx = ((len as f64) * 0.99) as usize;
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if let Some(&p99) = sorted.get(p99_idx.min(len - 1)) {
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self.metrics.p99_io_latency_us.store(p99 as u64, Ordering::Relaxed);
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crate::record_io_latency_p99(p99 as f64 / 1000.0);
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}
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}
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/// Get the number of recorded latency samples.
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pub async fn sample_count(&self) -> usize {
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self.io_latency_samples.read().await.len()
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}
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/// Get the maximum number of samples this collector will retain.
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pub fn max_samples(&self) -> usize {
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self.max_latency_samples
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_collector_creation() {
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let metrics = Arc::new(PerformanceMetrics::new());
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let collector = MetricsCollector::with_default_max_samples(metrics);
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assert_eq!(collector.max_samples(), 1000);
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}
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#[tokio::test]
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async fn test_record_io_basic() {
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let metrics = Arc::new(PerformanceMetrics::new());
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let collector = MetricsCollector::new(metrics.clone(), 10);
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collector.record_io_operation(1024, Duration::from_millis(10), true).await;
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assert_eq!(metrics.total_bytes_read.load(Ordering::Relaxed), 1024);
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assert_eq!(metrics.disk_read_count.load(Ordering::Relaxed), 1);
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assert_eq!(collector.sample_count().await, 1);
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}
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#[tokio::test]
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async fn test_latency_percentiles() {
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let metrics = Arc::new(PerformanceMetrics::new());
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let collector = MetricsCollector::new(metrics.clone(), 10);
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// Record some latencies
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collector.record_io_operation(0, Duration::from_micros(100), true).await;
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collector.record_io_operation(0, Duration::from_micros(200), true).await;
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collector.record_io_operation(0, Duration::from_micros(300), true).await;
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collector.record_io_operation(0, Duration::from_micros(400), true).await;
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collector.record_io_operation(0, Duration::from_micros(500), true).await;
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// Check average
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let avg = metrics.avg_io_latency_us.load(Ordering::Relaxed);
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assert_eq!(avg, 300); // (100+200+300+400+500) / 5
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// Check percentiles
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let p95 = metrics.p95_io_latency_us.load(Ordering::Relaxed);
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let p99 = metrics.p99_io_latency_us.load(Ordering::Relaxed);
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// P95 should be close to 500 (5th element)
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// P99 should be 500 (same as max)
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assert!(p95 >= 400); // Allow some tolerance
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assert_eq!(p99, 500);
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}
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#[tokio::test]
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async fn test_sample_limit() {
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let metrics = Arc::new(PerformanceMetrics::new());
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let collector = MetricsCollector::new(metrics.clone(), 5); // Max 5 samples
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// Record more than the limit
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for _ in 0..10 {
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collector.record_io_operation(0, Duration::from_millis(1), true).await;
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}
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// Should only keep 5 samples
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assert_eq!(collector.sample_count().await, 5);
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}
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#[tokio::test]
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async fn test_read_write_distinction() {
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let metrics = Arc::new(PerformanceMetrics::new());
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let collector = MetricsCollector::new(metrics.clone(), 10);
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collector.record_io_operation(1024, Duration::from_millis(10), true).await;
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collector.record_io_operation(2048, Duration::from_millis(5), false).await;
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assert_eq!(metrics.total_bytes_read.load(Ordering::Relaxed), 1024);
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assert_eq!(metrics.total_bytes_written.load(Ordering::Relaxed), 2048);
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assert_eq!(metrics.disk_read_count.load(Ordering::Relaxed), 1);
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assert_eq!(metrics.disk_write_count.load(Ordering::Relaxed), 1);
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}
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}
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