Merge branch 'main' into cijothomas/observable-cleanups

opentelemetry-sdk/benches/metric_gauge.rs

@@ -1,12 +1,12 @@
 /*
     The benchmark results:
     criterion = "0.5.1"
-    OS: Ubuntu 22.04.3 LTS (5.15.146.1-microsoft-standard-WSL2)
-    Hardware: AMD EPYC 7763 64-Core Processor - 2.44 GHz, 16vCPUs,
+    OS: Ubuntu 22.04.4 LTS (5.15.153.1-microsoft-standard-WSL2)
+    Hardware: Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz, 16vCPUs,
     RAM: 64.0 GB
     | Test                           | Average time|
     |--------------------------------|-------------|
-    | Gauge_Add_4                    | 586 ns      |
+    | Gauge_Add                      | 483.78 ns   |
 */
 
 use criterion::{criterion_group, criterion_main, Criterion};
@@ -26,6 +26,11 @@ thread_local! {
     static CURRENT_RNG: RefCell<rngs::SmallRng> = RefCell::new(rngs::SmallRng::from_entropy());
 }
 
+static ATTRIBUTE_VALUES: [&str; 10] = [
+    "value1", "value2", "value3", "value4", "value5", "value6", "value7", "value8", "value9",
+    "value10",
+];
+
 // Run this benchmark with:
 // cargo bench --bench metric_gauge
 fn create_gauge() -> Gauge<u64> {
@@ -42,13 +47,8 @@ fn criterion_benchmark(c: &mut Criterion) {
 }
 
 fn gauge_record(c: &mut Criterion) {
-    let attribute_values = [
-        "value1", "value2", "value3", "value4", "value5", "value6", "value7", "value8", "value9",
-        "value10",
-    ];
-
     let gauge = create_gauge();
-    c.bench_function("Gauge_Add_4", |b| {
+    c.bench_function("Gauge_Add", |b| {
         b.iter(|| {
             // 4*4*10*10 = 1600 time series.
             let rands = CURRENT_RNG.with(|rng| {
@@ -67,10 +67,10 @@ fn gauge_record(c: &mut Criterion) {
             gauge.record(
                 1,
                 &[
-                    KeyValue::new("attribute1", attribute_values[index_first_attribute]),
-                    KeyValue::new("attribute2", attribute_values[index_second_attribute]),
-                    KeyValue::new("attribute3", attribute_values[index_third_attribute]),
-                    KeyValue::new("attribute4", attribute_values[index_fourth_attribute]),
+                    KeyValue::new("attribute1", ATTRIBUTE_VALUES[index_first_attribute]),
+                    KeyValue::new("attribute2", ATTRIBUTE_VALUES[index_second_attribute]),
+                    KeyValue::new("attribute3", ATTRIBUTE_VALUES[index_third_attribute]),
+                    KeyValue::new("attribute4", ATTRIBUTE_VALUES[index_fourth_attribute]),
                 ],
             );
         });

stress/Cargo.toml

@@ -9,6 +9,11 @@ name = "metrics"
 path = "src/metrics_counter.rs"
 doc = false
 
+[[bin]] # Bin to run the metrics stress tests for Gauge
+name = "metrics_gauge"
+path = "src/metrics_gauge.rs"
+doc = false
+
 [[bin]] # Bin to run the metrics stress tests for Histogram
 name = "metrics_histogram"
 path = "src/metrics_histogram.rs"

stress/src/metrics_gauge.rs

@@ -0,0 +1,66 @@
+/*
+    Stress test results:
+    OS: Ubuntu 22.04.4 LTS (5.15.153.1-microsoft-standard-WSL2)
+    Hardware: Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz, 16vCPUs,
+    RAM: 64.0 GB
+    ~1.5 M/sec
+*/
+
+use lazy_static::lazy_static;
+use opentelemetry::{
+    metrics::{Gauge, MeterProvider as _},
+    KeyValue,
+};
+use opentelemetry_sdk::metrics::{ManualReader, SdkMeterProvider};
+use rand::{
+    rngs::{self},
+    Rng, SeedableRng,
+};
+use std::cell::RefCell;
+
+mod throughput;
+
+lazy_static! {
+    static ref PROVIDER: SdkMeterProvider = SdkMeterProvider::builder()
+        .with_reader(ManualReader::builder().build())
+        .build();
+    static ref ATTRIBUTE_VALUES: [&'static str; 10] = [
+        "value1", "value2", "value3", "value4", "value5", "value6", "value7", "value8", "value9",
+        "value10"
+    ];
+    static ref GAUGE: Gauge<u64> = PROVIDER.meter("test").u64_gauge("test_gauge").init();
+}
+
+thread_local! {
+    /// Store random number generator for each thread
+    static CURRENT_RNG: RefCell<rngs::SmallRng> = RefCell::new(rngs::SmallRng::from_entropy());
+}
+
+fn main() {
+    throughput::test_throughput(test_gauge);
+}
+
+fn test_gauge() {
+    let len = ATTRIBUTE_VALUES.len();
+    let rands = CURRENT_RNG.with(|rng| {
+        let mut rng = rng.borrow_mut();
+        [
+            rng.gen_range(0..len),
+            rng.gen_range(0..len),
+            rng.gen_range(0..len),
+        ]
+    });
+    let index_first_attribute = rands[0];
+    let index_second_attribute = rands[1];
+    let index_third_attribute = rands[2];
+
+    // each attribute has 10 possible values, so there are 1000 possible combinations (time-series)
+    GAUGE.record(
+        1,
+        &[
+            KeyValue::new("attribute1", ATTRIBUTE_VALUES[index_first_attribute]),
+            KeyValue::new("attribute2", ATTRIBUTE_VALUES[index_second_attribute]),
+            KeyValue::new("attribute3", ATTRIBUTE_VALUES[index_third_attribute]),
+        ],
+    );
+}