[APR-205] dogstatsd: optimize multi-value distribution decoding

lib/saluki-event/src/metric/value.rs

@@ -81,6 +81,18 @@ impl MetricValue {
         Self::Distribution { sketch }
     }
 
+    /// Creates a distribution from values in an iterator.
+    pub fn distribution_from_iter<I, E>(iter: I) -> Result<Self, E>
+    where
+        I: Iterator<Item = Result<f64, E>>,
+    {
+        let mut sketch = DDSketch::default();
+        for value in iter {
+            sketch.insert(value?);
+        }
+        Ok(Self::Distribution { sketch })
+    }
+
     /// Merges another metric value into this one.
     ///
     /// If both `self` and `other` are the same metric type, their values will be merged appropriately. If the metric

lib/saluki-io/src/deser/codec/dogstatsd/mod.rs

@@ -673,6 +673,13 @@ impl<'a> ValueIter<'a> {
 
     /// Returns the number of values in the iterator.
     fn len(&self) -> usize {
+        if self.kind == ValueKind::Set || self.kind == ValueKind::Distribution {
+            // For sets, they can't be multi-value, so iterating over the value bytes is pointless. Likewise, for
+            // distributions, we take an optimization where we just read all of the values in one call and build a
+            // single distribution, so in both cases, we're only ever emitting a single metric.
+            return 1;
+        }
+
         memchr::memchr_iter(b':', self.raw_values).count() + 1
     }
 }
@@ -699,6 +706,17 @@ impl<'a> Iterator for ValueIter<'a> {
             return Some(value);
         }
 
+        if self.kind == ValueKind::Distribution {
+            // For distributions, we try to optimize for when they're multi-value payloads by not generating one for
+            // each payload. Instead, we just create a lightweight iterator over the values here and then create the
+            // distribution in a single go.
+            let float_iter = FloatIter::new(self.raw_values);
+            let value = MetricValue::distribution_from_iter(float_iter);
+
+            self.raw_values = &[];
+            return Some(value);
+        }
+
         // For all other metric types, we always parse the value as a double, so we do that first and then figure out
         // what kind of `MetricValue` we need to emit.
         let (raw_value, tail) = split_at_delimiter(self.raw_values, b':')?;
@@ -715,12 +733,42 @@ impl<'a> Iterator for ValueIter<'a> {
         Some(Ok(match self.kind {
             ValueKind::Counter => MetricValue::Counter { value },
             ValueKind::Gauge => MetricValue::Gauge { value },
-            ValueKind::Distribution => MetricValue::distribution_from_value(value),
-            _ => unreachable!("set values should have been handled above"),
+            _ => unreachable!("set and distribution values should have been handled above"),
         }))
     }
 }
 
+struct FloatIter<'a> {
+    raw_values: &'a [u8],
+}
+
+impl<'a> FloatIter<'a> {
+    fn new(raw_values: &'a [u8]) -> Self {
+        Self { raw_values }
+    }
+}
+
+impl<'a> Iterator for FloatIter<'a> {
+    type Item = Result<f64, nom::Err<nom::error::Error<&'a [u8]>>>;
+
+    fn next(&mut self) -> Option<Self::Item> {
+        if self.raw_values.is_empty() {
+            return None;
+        }
+
+        let (raw_value, tail) = split_at_delimiter(self.raw_values, b':')?;
+        self.raw_values = tail;
+
+        // SAFETY: The caller that creates `ValueIter` is responsible for ensuring that the entire byte slice is valid
+        // UTF-8.
+        let value_s = unsafe { std::str::from_utf8_unchecked(raw_value) };
+        match value_s.parse::<f64>() {
+            Ok(value) => Some(Ok(value)),
+            Err(_) => Some(Err(nom::Err::Error(Error::new(raw_value, ErrorKind::Float)))),
+        }
+    }
+}
+
 /// Action to take for a given tag.
 #[derive(Debug, Clone, Copy, Eq, PartialEq)]
 pub enum InterceptAction {
@@ -929,8 +977,8 @@ mod tests {
         values.iter().map(|value| gauge(name, *value)).collect()
     }
 
-    fn distribution_multivalue(name: &str, values: &[f64]) -> Vec<Metric> {
-        values.iter().map(|value| distribution(name, *value)).collect()
+    fn distribution_multivalue(name: &str, values: &[f64]) -> Metric {
+        create_metric(name, MetricValue::distribution_from_values(values))
     }
 
     fn parse_dogstatsd_metric_with_default_config(input: &[u8]) -> IResult<&[u8], OneOrMany<Event>> {
@@ -1178,6 +1226,9 @@ mod tests {
 
         // Special case where we check this for all three variants -- timers, histograms, and distributions -- since we
         // treat them all the same when parsing.
+        //
+        // Additionally, we have an optimization to return a single distribution metric from multi-value payloads, so we
+        // also check here that only one metric is generated for multi-value timers/histograms/distributions.
         let distribution_name = "my.distribution";
         let distribution_values = [27.5, 4.20, 80.085];
         let distribution_values_stringified = distribution_values.iter().map(|v| v.to_string()).collect::<Vec<_>>();
@@ -1191,7 +1242,7 @@ mod tests {
             let distributions_expected = distribution_multivalue(distribution_name, &distribution_values);
             let (remaining, distributions_actual) =
                 parse_dogstatsd_metric_with_default_config(distribution_raw.as_bytes()).unwrap();
-            check_basic_metric_multivalue_eq(distributions_expected, distributions_actual);
+            check_basic_metric_eq(distributions_expected, distributions_actual);
             assert!(remaining.is_empty());
         }
     }