Merge branch 'main' into http-client-request-body-bytes

README.md

@@ -184,7 +184,7 @@ for specific dates and for Zoom meeting links. "OTel Rust SIG" is the name of
 meeting for this group.
 
 Meeting notes are available as a public [Google
-doc](https://docs.google.com/document/d/1tGKuCsSnyT2McDncVJrMgg74_z8V06riWZa0Sr79I_4/edit).
+doc](https://docs.google.com/document/d/12upOzNk8c3SFTjsL6IRohCWMgzLKoknSCOOdMakbWo4/edit).
 If you have trouble accessing the doc, please get in touch on
 [Slack](https://cloud-native.slack.com/archives/C03GDP0H023).
 

opentelemetry-otlp/src/lib.rs

@@ -106,15 +106,15 @@
 //! * `gzip-tonic`: Use gzip compression for `tonic` grpc layer.
 //! * `zstd-tonic`: Use zstd compression for `tonic` grpc layer.
 //! * `tls-roots`: Adds system trust roots to rustls-based gRPC clients using the rustls-native-certs crate
-//! * `tls-webkpi-roots`: Embeds Mozilla's trust roots to rustls-based gRPC clients using the webkpi-roots crate
+//! * `tls-webpki-roots`: Embeds Mozilla's trust roots to rustls-based gRPC clients using the webpki-roots crate
 //!
 //! The following feature flags offer additional configurations on http:
 //!
 //! * `http-proto`: Use http as transport layer, protobuf as body format.
 //! * `reqwest-blocking-client`: Use reqwest blocking http client.
 //! * `reqwest-client`: Use reqwest http client.
 //! * `reqwest-rustls`: Use reqwest with TLS with system trust roots via `rustls-native-certs` crate.
-//! * `reqwest-rustls-webkpi-roots`: Use reqwest with TLS with Mozilla's trust roots via `webkpi-roots` crate.
+//! * `reqwest-rustls-webpki-roots`: Use reqwest with TLS with Mozilla's trust roots via `webpki-roots` crate.
 //!
 //! # Kitchen Sink Full Configuration
 //!

opentelemetry-otlp/tests/integration_test/tests/logs.rs

@@ -99,6 +99,7 @@ mod logtests {
         Ok(())
     }
 
+    #[ignore = "TODO: [Fix Me] Failing on CI. Needs to be investigated and resolved."]
     #[test]
     #[cfg(any(feature = "tonic-client", feature = "reqwest-blocking-client"))]
     pub fn logs_batch_non_tokio_main() -> Result<()> {

opentelemetry-otlp/tests/integration_test/tests/traces.rs

@@ -141,6 +141,7 @@ pub fn test_serde() -> Result<()> {
     Ok(())
 }
 
+#[ignore = "TODO: [Fix Me] Failing on CI. Needs to be investigated and resolved."]
 #[test]
 #[cfg(any(feature = "tonic-client", feature = "reqwest-blocking-client"))]
 pub fn span_batch_non_tokio_main() -> Result<()> {

opentelemetry-sdk/src/metrics/internal/aggregate.rs

@@ -27,15 +27,6 @@ pub(crate) trait Measure<T>: Send + Sync + 'static {
     fn call(&self, measurement: T, attrs: &[KeyValue]);
 }
 
-impl<F, T> Measure<T> for F
-where
-    F: Fn(T, &[KeyValue]) + Send + Sync + 'static,
-{
-    fn call(&self, measurement: T, attrs: &[KeyValue]) {
-        self(measurement, attrs)
-    }
-}
-
 /// Stores the aggregate of measurements into the aggregation and returns the number
 /// of aggregate data-points output.
 pub(crate) trait ComputeAggregation: Send + Sync + 'static {
@@ -47,15 +38,23 @@ pub(crate) trait ComputeAggregation: Send + Sync + 'static {
     fn call(&self, dest: Option<&mut dyn Aggregation>) -> (usize, Option<Box<dyn Aggregation>>);
 }
 
-impl<T> ComputeAggregation for T
+/// Separate `measure` and `collect` functions for an aggregate.
+pub(crate) struct AggregateFns<T> {
+    pub(crate) measure: Arc<dyn Measure<T>>,
+    pub(crate) collect: Arc<dyn ComputeAggregation>,
+}
+
+/// Creates aggregate functions out of aggregate instance
+impl<A, T> From<A> for AggregateFns<T>
 where
-    T: Fn(Option<&mut dyn Aggregation>) -> (usize, Option<Box<dyn Aggregation>>)
-        + Send
-        + Sync
-        + 'static,
+    A: Measure<T> + ComputeAggregation,
 {
-    fn call(&self, dest: Option<&mut dyn Aggregation>) -> (usize, Option<Box<dyn Aggregation>>) {
-        self(dest)
+    fn from(value: A) -> Self {
+        let inst = Arc::new(value);
+        Self {
+            measure: inst.clone(),
+            collect: inst,
+        }
     }
 }
 
@@ -144,30 +143,18 @@ impl<T: Number> AggregateBuilder<T> {
     }
 
     /// Builds a last-value aggregate function input and output.
-    pub(crate) fn last_value(&self) -> (impl Measure<T>, impl ComputeAggregation) {
-        let lv = Arc::new(LastValue::new(self.temporality, self.filter.clone()));
-        (lv.clone(), lv)
+    pub(crate) fn last_value(&self) -> AggregateFns<T> {
+        LastValue::new(self.temporality, self.filter.clone()).into()
     }
 
     /// Builds a precomputed sum aggregate function input and output.
-    pub(crate) fn precomputed_sum(
-        &self,
-        monotonic: bool,
-    ) -> (impl Measure<T>, impl ComputeAggregation) {
-        let s = Arc::new(PrecomputedSum::new(
-            self.temporality,
-            self.filter.clone(),
-            monotonic,
-        ));
-
-        (s.clone(), s)
+    pub(crate) fn precomputed_sum(&self, monotonic: bool) -> AggregateFns<T> {
+        PrecomputedSum::new(self.temporality, self.filter.clone(), monotonic).into()
     }
 
     /// Builds a sum aggregate function input and output.
-    pub(crate) fn sum(&self, monotonic: bool) -> (impl Measure<T>, impl ComputeAggregation) {
-        let s = Arc::new(Sum::new(self.temporality, self.filter.clone(), monotonic));
-
-        (s.clone(), s)
+    pub(crate) fn sum(&self, monotonic: bool) -> AggregateFns<T> {
+        Sum::new(self.temporality, self.filter.clone(), monotonic).into()
     }
 
     /// Builds a histogram aggregate function input and output.
@@ -176,16 +163,15 @@ impl<T: Number> AggregateBuilder<T> {
         boundaries: Vec<f64>,
         record_min_max: bool,
         record_sum: bool,
-    ) -> (impl Measure<T>, impl ComputeAggregation) {
-        let h = Arc::new(Histogram::new(
+    ) -> AggregateFns<T> {
+        Histogram::new(
             self.temporality,
             self.filter.clone(),
             boundaries,
             record_min_max,
             record_sum,
-        ));
-
-        (h.clone(), h)
+        )
+        .into()
     }
 
     /// Builds an exponential histogram aggregate function input and output.
@@ -195,17 +181,16 @@ impl<T: Number> AggregateBuilder<T> {
         max_scale: i8,
         record_min_max: bool,
         record_sum: bool,
-    ) -> (impl Measure<T>, impl ComputeAggregation) {
-        let h = Arc::new(ExpoHistogram::new(
+    ) -> AggregateFns<T> {
+        ExpoHistogram::new(
             self.temporality,
             self.filter.clone(),
             max_size,
             max_scale,
             record_min_max,
             record_sum,
-        ));
-
-        (h.clone(), h)
+        )
+        .into()
     }
 }
 
@@ -221,7 +206,7 @@ mod tests {
 
     #[test]
     fn last_value_aggregation() {
-        let (measure, agg) =
+        let AggregateFns { measure, collect } =
             AggregateBuilder::<u64>::new(Temporality::Cumulative, None).last_value();
         let mut a = Gauge {
             data_points: vec![GaugeDataPoint {
@@ -235,7 +220,7 @@ mod tests {
         let new_attributes = [KeyValue::new("b", 2)];
         measure.call(2, &new_attributes[..]);
 
-        let (count, new_agg) = agg.call(Some(&mut a));
+        let (count, new_agg) = collect.call(Some(&mut a));
 
         assert_eq!(count, 1);
         assert!(new_agg.is_none());
@@ -247,7 +232,7 @@ mod tests {
     #[test]
     fn precomputed_sum_aggregation() {
         for temporality in [Temporality::Delta, Temporality::Cumulative] {
-            let (measure, agg) =
+            let AggregateFns { measure, collect } =
                 AggregateBuilder::<u64>::new(temporality, None).precomputed_sum(true);
             let mut a = Sum {
                 data_points: vec![
@@ -274,7 +259,7 @@ mod tests {
             let new_attributes = [KeyValue::new("b", 2)];
             measure.call(3, &new_attributes[..]);
 
-            let (count, new_agg) = agg.call(Some(&mut a));
+            let (count, new_agg) = collect.call(Some(&mut a));
 
             assert_eq!(count, 1);
             assert!(new_agg.is_none());
@@ -289,7 +274,8 @@ mod tests {
     #[test]
     fn sum_aggregation() {
         for temporality in [Temporality::Delta, Temporality::Cumulative] {
-            let (measure, agg) = AggregateBuilder::<u64>::new(temporality, None).sum(true);
+            let AggregateFns { measure, collect } =
+                AggregateBuilder::<u64>::new(temporality, None).sum(true);
             let mut a = Sum {
                 data_points: vec![
                     SumDataPoint {
@@ -315,7 +301,7 @@ mod tests {
             let new_attributes = [KeyValue::new("b", 2)];
             measure.call(3, &new_attributes[..]);
 
-            let (count, new_agg) = agg.call(Some(&mut a));
+            let (count, new_agg) = collect.call(Some(&mut a));
 
             assert_eq!(count, 1);
             assert!(new_agg.is_none());
@@ -330,7 +316,7 @@ mod tests {
     #[test]
     fn explicit_bucket_histogram_aggregation() {
         for temporality in [Temporality::Delta, Temporality::Cumulative] {
-            let (measure, agg) = AggregateBuilder::<u64>::new(temporality, None)
+            let AggregateFns { measure, collect } = AggregateBuilder::<u64>::new(temporality, None)
                 .explicit_bucket_histogram(vec![1.0], true, true);
             let mut a = Histogram {
                 data_points: vec![HistogramDataPoint {
@@ -354,7 +340,7 @@ mod tests {
             let new_attributes = [KeyValue::new("b", 2)];
             measure.call(3, &new_attributes[..]);
 
-            let (count, new_agg) = agg.call(Some(&mut a));
+            let (count, new_agg) = collect.call(Some(&mut a));
 
             assert_eq!(count, 1);
             assert!(new_agg.is_none());
@@ -373,7 +359,7 @@ mod tests {
     #[test]
     fn exponential_histogram_aggregation() {
         for temporality in [Temporality::Delta, Temporality::Cumulative] {
-            let (measure, agg) = AggregateBuilder::<u64>::new(temporality, None)
+            let AggregateFns { measure, collect } = AggregateBuilder::<u64>::new(temporality, None)
                 .exponential_bucket_histogram(4, 20, true, true);
             let mut a = ExponentialHistogram {
                 data_points: vec![ExponentialHistogramDataPoint {
@@ -406,7 +392,7 @@ mod tests {
             let new_attributes = [KeyValue::new("b", 2)];
             measure.call(3, &new_attributes[..]);
 
-            let (count, new_agg) = agg.call(Some(&mut a));
+            let (count, new_agg) = collect.call(Some(&mut a));
 
             assert_eq!(count, 1);
             assert!(new_agg.is_none());