relay_metrics/bucket.rs
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use std::collections::{BTreeMap, BTreeSet};
use std::hash::Hash;
use std::iter::FusedIterator;
use std::{fmt, mem};
use hash32::{FnvHasher, Hasher as _};
use relay_cardinality::CardinalityItem;
use relay_common::time::UnixTimestamp;
use serde::{Deserialize, Serialize};
use smallvec::SmallVec;
use crate::protocol::{
self, hash_set_value, CounterType, DistributionType, GaugeType, MetricName,
MetricResourceIdentifier, MetricType, SetType,
};
use crate::{FiniteF64, MetricNamespace, ParseMetricError};
const VALUE_SEPARATOR: char = ':';
/// Type of [`Bucket::tags`].
pub type MetricTags = BTreeMap<String, String>;
/// A snapshot of values within a [`Bucket`].
#[derive(Clone, Copy, Debug, PartialEq, Deserialize, Serialize)]
pub struct GaugeValue {
/// The last value reported in the bucket.
///
/// This aggregation is not commutative.
pub last: GaugeType,
/// The minimum value reported in the bucket.
pub min: GaugeType,
/// The maximum value reported in the bucket.
pub max: GaugeType,
/// The sum of all values reported in the bucket.
pub sum: GaugeType,
/// The number of times this bucket was updated with a new value.
pub count: u64,
}
impl GaugeValue {
/// Creates a gauge snapshot from a single value.
pub fn single(value: GaugeType) -> Self {
Self {
last: value,
min: value,
max: value,
sum: value,
count: 1,
}
}
/// Inserts a new value into the gauge.
pub fn insert(&mut self, value: GaugeType) {
self.last = value;
self.min = self.min.min(value);
self.max = self.max.max(value);
self.sum = self.sum.saturating_add(value);
self.count += 1;
}
/// Merges two gauge snapshots.
pub fn merge(&mut self, other: Self) {
self.last = other.last;
self.min = self.min.min(other.min);
self.max = self.max.max(other.max);
self.sum = self.sum.saturating_add(other.sum);
self.count += other.count;
}
/// Returns the average of all values reported in this bucket.
pub fn avg(&self) -> Option<GaugeType> {
self.sum / FiniteF64::new(self.count as f64)?
}
}
/// A distribution of values within a [`Bucket`].
///
/// Distributions logically store a histogram of values. Based on individual reported values,
/// distributions allow to query the maximum, minimum, or average of the reported values, as well as
/// statistical quantiles.
///
/// # Example
///
/// ```
/// use relay_metrics::dist;
///
/// let mut dist = dist![1, 1, 1, 2];
/// dist.push(5.into());
/// dist.extend(std::iter::repeat(3.into()).take(7));
/// ```
///
/// Logically, this distribution is equivalent to this visualization:
///
/// ```plain
/// value | count
/// 1.0 | ***
/// 2.0 | *
/// 3.0 | *******
/// 4.0 |
/// 5.0 | *
/// ```
///
/// # Serialization
///
/// Distributions serialize as lists of floating point values. The list contains one entry for each
/// value in the distribution, including duplicates.
pub type DistributionValue = SmallVec<[DistributionType; 3]>;
#[doc(hidden)]
pub use smallvec::smallvec as _smallvec;
/// Creates a [`DistributionValue`] containing the given arguments.
///
/// `dist!` allows `DistributionValue` to be defined with the same syntax as array expressions.
///
/// # Example
///
/// ```
/// let dist = relay_metrics::dist![1, 2];
/// ```
#[macro_export]
macro_rules! dist {
($($x:expr),*$(,)*) => {
$crate::_smallvec!($($crate::DistributionType::from($x)),*) as $crate::DistributionValue
};
}
/// A set of unique values.
///
/// Set values can be specified as strings in the submission protocol. They are always hashed
/// into a 32-bit value and the original value is dropped. If the submission protocol contains a
/// 32-bit integer, it will be used directly, instead.
///
/// See the [bucket docs](crate::Bucket) for more information on set hashing.
pub type SetValue = BTreeSet<SetType>;
/// The [aggregated value](Bucket::value) of a metric bucket.
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
#[serde(tag = "type", content = "value")]
pub enum BucketValue {
/// Counts instances of an event ([`MetricType::Counter`]).
///
/// Counters can be incremented and decremented. The default operation is to increment a counter
/// by `1`, although increments by larger values are equally possible.
///
/// # Statsd Format
///
/// Counters are declared as `"c"`. Alternatively, `"m"` is allowed.
///
/// There can be a variable number of floating point values. If more than one value is given,
/// the values are summed into a single counter value:
///
/// ```text
/// endpoint.hits:4.5:21:17.0|c
/// ```
///
/// # Serialization
///
/// This variant serializes to a double precision float.
///
/// # Aggregation
///
/// Counters aggregate by folding individual values into a single sum value per bucket. The sum
/// is ingested and stored directly.
#[serde(rename = "c")]
Counter(CounterType),
/// Builds a statistical distribution over values reported ([`MetricType::Distribution`]).
///
/// Based on individual reported values, distributions allow to query the maximum, minimum, or
/// average of the reported values, as well as statistical quantiles. With an increasing number
/// of values in the distribution, its accuracy becomes approximate.
///
/// # Statsd Format
///
/// Distributions are declared as `"d"`. Alternatively, `"d"` and `"ms"` are allowed.
///
/// There can be a variable number of floating point values. These values are collected directly
/// in a list per bucket.
///
/// ```text
/// endpoint.response_time@millisecond:36:49:57:68|d
/// ```
///
/// # Serialization
///
/// This variant serializes to a list of double precision floats, see [`DistributionValue`].
///
/// # Aggregation
///
/// During ingestion, all individual reported values are collected in a lossless format. In
/// storage, these values are compressed into data sketches that allow to query quantiles.
/// Separately, the count and sum of the reported values is stored, which makes distributions a
/// strict superset of counters.
#[serde(rename = "d")]
Distribution(DistributionValue),
/// Counts the number of unique reported values.
///
/// Sets allow sending arbitrary discrete values, including strings, and store the deduplicated
/// count. With an increasing number of unique values in the set, its accuracy becomes
/// approximate. It is not possible to query individual values from a set.
///
/// # Statsd Format
///
/// Sets are declared as `"s"`. Values in the list should be deduplicated.
///
///
/// ```text
/// endpoint.users:3182887624:4267882815|s
/// endpoint.users:e2546e4c-ecd0-43ad-ae27-87960e57a658|s
/// ```
///
/// # Serialization
///
/// This variant serializes to a list of 32-bit integers.
///
/// # Aggregation
///
/// Set values are internally represented as 32-bit integer hashes of the original value. These
/// hashes can be ingested directly as seen in the first example above. If raw strings are sent,
/// they will be hashed on-the-fly.
///
/// Internally, set metrics are stored in data sketches that expose an approximate cardinality.
#[serde(rename = "s")]
Set(SetValue),
/// Stores absolute snapshots of values.
///
/// In addition to plain [counters](Self::Counter), gauges store a snapshot of the maximum,
/// minimum and sum of all values, as well as the last reported value. Note that the "last"
/// component of this aggregation is not commutative. Which value is preserved as last value is
/// implementation-defined.
///
/// # Statsd Format
///
/// Gauges are declared as `"g"`. There are two ways to ingest gauges:
/// 1. As a single value. In this case, the provided value is assumed as the last, minimum,
/// maximum, and the sum.
/// 2. As a sequence of five values in the order: `last`, `min`, `max`, `sum`, `count`.
///
/// ```text
/// endpoint.parallel_requests:25|g
/// endpoint.parallel_requests:25:17:42:220:85|g
/// ```
///
/// # Serialization
///
/// This variant serializes to a structure with named fields, see [`GaugeValue`].
///
/// # Aggregation
///
/// Gauges aggregate by folding each of the components based on their semantics:
/// - `last` assumes the newly added value
/// - `min` retains the smaller value
/// - `max` retains the larger value
/// - `sum` adds the new value to the existing sum
/// - `count` adds the count of the newly added gauge (defaulting to `1`)
#[serde(rename = "g")]
Gauge(GaugeValue),
}
impl BucketValue {
/// Returns a bucket value representing a counter with the given value.
pub fn counter(value: CounterType) -> Self {
Self::Counter(value)
}
/// Returns a bucket value representing a distribution with a single given value.
pub fn distribution(value: DistributionType) -> Self {
Self::Distribution(dist![value])
}
/// Returns a bucket value representing a set with a single given hash value.
pub fn set(value: SetType) -> Self {
Self::Set(std::iter::once(value).collect())
}
/// Returns a bucket value representing a set with a single given string value.
pub fn set_from_str(string: &str) -> Self {
Self::set(hash_set_value(string))
}
/// Returns a bucket value representing a set with a single given value.
pub fn set_from_display(display: impl fmt::Display) -> Self {
Self::set(hash_set_value(&display.to_string()))
}
/// Returns a bucket value representing a gauge with a single given value.
pub fn gauge(value: GaugeType) -> Self {
Self::Gauge(GaugeValue::single(value))
}
/// Returns the type of this value.
pub fn ty(&self) -> MetricType {
match self {
Self::Counter(_) => MetricType::Counter,
Self::Distribution(_) => MetricType::Distribution,
Self::Set(_) => MetricType::Set,
Self::Gauge(_) => MetricType::Gauge,
}
}
/// Returns the number of raw data points in this value.
pub fn len(&self) -> usize {
match self {
BucketValue::Counter(_) => 1,
BucketValue::Distribution(distribution) => distribution.len(),
BucketValue::Set(set) => set.len(),
BucketValue::Gauge(_) => 5,
}
}
/// Returns `true` if this bucket contains no values.
pub fn is_empty(&self) -> bool {
self.len() == 0
}
/// Estimates the number of bytes needed to encode the bucket value.
///
/// Note that this does not necessarily match the exact memory footprint of the value,
/// because data structures have a memory overhead.
pub fn cost(&self) -> usize {
// Beside the size of [`BucketValue`], we also need to account for the cost of values
// allocated dynamically.
let allocated_cost = match self {
Self::Counter(_) => 0,
Self::Set(s) => mem::size_of::<SetType>() * s.len(),
Self::Gauge(_) => 0,
Self::Distribution(d) => d.len() * mem::size_of::<DistributionType>(),
};
mem::size_of::<Self>() + allocated_cost
}
/// Merges the given `bucket_value` into `self`.
///
/// Returns `Ok(())` if the two bucket values can be merged. This is the case when both bucket
/// values are of the same variant. Otherwise, this returns `Err(other)`.
pub fn merge(&mut self, other: Self) -> Result<(), Self> {
match (self, other) {
(Self::Counter(slf), Self::Counter(other)) => *slf = slf.saturating_add(other),
(Self::Distribution(slf), Self::Distribution(other)) => slf.extend_from_slice(&other),
(Self::Set(slf), Self::Set(other)) => slf.extend(other),
(Self::Gauge(slf), Self::Gauge(other)) => slf.merge(other),
(_, other) => return Err(other),
}
Ok(())
}
}
/// Parses a list of counter values separated by colons and sums them up.
fn parse_counter(string: &str) -> Option<CounterType> {
let mut sum = CounterType::default();
for component in string.split(VALUE_SEPARATOR) {
sum = sum.saturating_add(component.parse().ok()?);
}
Some(sum)
}
/// Parses a distribution from a list of floating point values separated by colons.
fn parse_distribution(string: &str) -> Option<DistributionValue> {
let mut dist = DistributionValue::default();
for component in string.split(VALUE_SEPARATOR) {
dist.push(component.parse().ok()?);
}
Some(dist)
}
/// Parses a set of hashed numeric values.
fn parse_set(string: &str) -> Option<SetValue> {
let mut set = SetValue::default();
for component in string.split(VALUE_SEPARATOR) {
let hash = component
.parse()
.unwrap_or_else(|_| protocol::hash_set_value(component));
set.insert(hash);
}
Some(set)
}
/// Parses a gauge from a value.
///
/// The gauge can either be given as a single floating point value, or as a list of exactly five
/// values in the order of [`GaugeValue`] fields.
fn parse_gauge(string: &str) -> Option<GaugeValue> {
let mut components = string.split(VALUE_SEPARATOR);
let last = components.next()?.parse().ok()?;
Some(if let Some(min) = components.next() {
GaugeValue {
last,
min: min.parse().ok()?,
max: components.next()?.parse().ok()?,
sum: components.next()?.parse().ok()?,
count: components.next()?.parse().ok()?,
}
} else {
GaugeValue::single(last)
})
}
/// Parses tags in the format `tag1,tag2:value`.
///
/// Tag values are optional. For tags with missing values, an empty `""` value is assumed.
fn parse_tags(string: &str) -> Option<MetricTags> {
let mut map = MetricTags::new();
for pair in string.split(',') {
let mut name_value = pair.splitn(2, ':');
let name = name_value.next()?;
if !protocol::is_valid_tag_key(name) {
continue;
}
if let Ok(value) = protocol::unescape_tag_value(name_value.next().unwrap_or_default()) {
map.insert(name.to_owned(), value);
}
}
Some(map)
}
/// Parses a unix UTC timestamp.
fn parse_timestamp(string: &str) -> Option<UnixTimestamp> {
string.parse().ok().map(UnixTimestamp::from_secs)
}
/// An aggregation of metric values.
///
/// As opposed to single metric values, bucket aggregations can carry multiple values. See
/// [`MetricType`] for a description on how values are aggregated in buckets. Values are aggregated
/// by metric name, type, time window, and all tags. Particularly, this allows metrics to have the
/// same name even if their types differ.
///
/// See the [crate documentation](crate) for general information on Metrics.
///
/// # Values
///
/// The contents of a bucket, especially their representation and serialization, depend on the
/// metric type:
///
/// - [Counters](BucketValue::Counter) store a single value, serialized as floating point.
/// - [Distributions](MetricType::Distribution) and [sets](MetricType::Set) store the full set of
/// reported values.
/// - [Gauges](BucketValue::Gauge) store a snapshot of reported values, see [`GaugeValue`].
///
/// # Submission Protocol
///
/// ```text
/// <name>[@unit]:<value>[:<value>...]|<type>[|#<tag_key>:<tag_value>,<tag>][|T<timestamp>]
/// ```
///
/// See the [field documentation](Bucket#fields) for more information on the components. An example
/// submission looks like this:
///
/// ```text
#[doc = include_str!("../tests/fixtures/buckets.statsd.txt")]
/// ```
///
/// To parse a submission payload, use [`Bucket::parse_all`].
///
/// # JSON Representation
///
/// Alternatively to the submission protocol, metrics can be represented as structured data in JSON.
/// The data type of the `value` field is determined by the metric type.
///
/// In addition to the submission protocol, buckets have a required [`width`](Self::width) field in
/// their JSON representation.
///
/// ```json
#[doc = include_str!("../tests/fixtures/buckets.json")]
/// ```
///
/// To parse a JSON payload, use [`serde_json`].
///
/// # Hashing of Sets
///
/// Set values can be specified as strings in the submission protocol. They are always hashed
/// into a 32-bit value and the original value is dropped. If the submission protocol contains a
/// 32-bit integer, it will be used directly, instead.
///
/// **Example**:
///
/// ```text
#[doc = include_str!("../tests/fixtures/set.statsd.txt")]
/// ```
///
/// The above submission is represented as:
///
/// ```json
#[doc = include_str!("../tests/fixtures/set.json")]
/// ```
#[derive(Clone, Debug, Deserialize, PartialEq, Serialize)]
pub struct Bucket {
/// The start time of the bucket's time window.
///
/// If a timestamp is not supplied as part of the submission payload, the default timestamp
/// supplied to [`Bucket::parse`] or [`Bucket::parse_all`] is associated with the metric. It is
/// then aligned with the aggregation window.
///
/// # Statsd Format
///
/// In statsd, timestamps are part of the `|`-separated list following values. Timestamps start
/// with the literal character `'T'` followed by the UNIX timestamp.
///
/// The timestamp must be a positive integer in decimal notation representing the value of the
/// UNIX timestamp.
///
/// # Example
///
/// ```text
/// endpoint.hits:1|c|T1615889440
/// ```
pub timestamp: UnixTimestamp,
/// The length of the time window in seconds.
///
/// To initialize a new bucket, choose `0` as width. Once the bucket is tracked by Relay's
/// aggregator, the width is aligned with configuration for the namespace and the timestamp is
/// adjusted accordingly.
///
/// # Statsd Format
///
/// Specifying the bucket width in statsd is not supported.
pub width: u64,
/// The name of the metric in MRI (metric resource identifier) format.
///
/// MRIs have the format `<type>:<ns>/<name>@<unit>`. See [`MetricResourceIdentifier`] for
/// information on fields and representations.
///
/// # Statsd Format
///
/// MRIs are sent in a more relaxed format: `[<namespace/]name[@unit]`. The value type is not
/// part of the metric name and namespaces are optional.
///
/// Namespaces and units must consist of ASCII characters and match the regular expression
/// `/\w+/`. The name component of MRIs consist of unicode characters and must match the
/// regular expression `/\w[\w\-.]*/`. Note that the name must begin with a letter.
///
/// Per convention, dots separate metric names into components, where the leading components are
/// considered namespaces and the final component is the name of the metric within its
/// namespace.
///
/// # Examples
///
/// ```text
/// endpoint.hits:1|c
/// custom/endpoint.hits:1|c
/// custom/endpoint.duration@millisecond:21.5|d
/// ```
pub name: MetricName,
/// The type and aggregated values of this bucket.
///
/// Buckets support multiple values that are aggregated and can be accessed using a range of
/// aggregation functions depending on the value type. While always a variable number of values
/// can be sent in, some aggregations reduce the raw values to a fixed set of aggregates.
///
/// See [`BucketValue`] for more examples and semantics.
///
/// # Statsd Payload
///
/// The bucket value and its type are specified in separate fields following the metric name in
/// the format: `<name>:<value>|<type>`. Values must be base-10 floating point numbers with
/// optional decimal places.
///
/// It is possible to pack multiple values into a single datagram, but note that the type and
/// the value representation must match for this. Refer to the [`BucketValue`] docs for more
/// examples.
///
/// # Example
///
/// ```text
/// endpoint.hits:21|c
/// endpoint.hits:4.5|c
/// ```
#[serde(flatten)]
pub value: BucketValue,
/// A list of tags adding dimensions to the metric for filtering and aggregation.
///
/// Tags allow to compute separate aggregates to filter or group metric values by any number of
/// dimensions. Tags consist of a unique tag key and one associated value. For tags with missing
/// values, an empty `""` value is assumed at query time.
///
/// # Statsd Format
///
/// Tags are preceded with a hash `#` and specified in a comma (`,`) separated list. Each tag
/// can either be a tag name, or a `name:value` combination. Tags are optional and can be
/// omitted.
///
/// Tag keys are restricted to ASCII characters and must match the regular expression
/// `/[\w\-.\/]+/`.
///
/// Tag values can contain unicode characters with the following escaping rules:
/// - Tab is escaped as `\t`.
/// - Carriage return is escaped as `\r`.
/// - Line feed is escaped as `\n`.
/// - Backslash is escaped as `\\`.
/// - Commas and pipes are given unicode escapes in the form `\u{2c}` and `\u{7c}`,
/// respectively.
///
/// # Example
///
/// ```text
/// endpoint.hits:1|c|#route:user_index,environment:production,release:1.4.0
/// ```
#[serde(default, skip_serializing_if = "MetricTags::is_empty")]
pub tags: MetricTags,
/// Relay internal metadata for a metric bucket.
///
/// The metadata contains meta information about the metric bucket itself,
/// for example how many this bucket has been aggregated in total.
#[serde(default, skip_serializing_if = "BucketMetadata::is_default")]
pub metadata: BucketMetadata,
}
impl Bucket {
/// Parses a statsd-compatible payload.
///
/// ```text
/// [<ns>/]<name>[@<unit>]:<value>|<type>[|#<tags>]`
/// ```
fn parse_str(string: &str, timestamp: UnixTimestamp) -> Option<Self> {
let mut components = string.split('|');
let (mri_str, values_str) = components.next()?.split_once(':')?;
let ty = components.next().and_then(|s| s.parse().ok())?;
let mri = MetricResourceIdentifier::parse_with_type(mri_str, ty).ok()?;
let value = match ty {
MetricType::Counter => BucketValue::Counter(parse_counter(values_str)?),
MetricType::Distribution => BucketValue::Distribution(parse_distribution(values_str)?),
MetricType::Set => BucketValue::Set(parse_set(values_str)?),
MetricType::Gauge => BucketValue::Gauge(parse_gauge(values_str)?),
};
let mut bucket = Bucket {
timestamp,
width: 0,
name: mri.to_string().into(),
value,
tags: Default::default(),
metadata: Default::default(),
};
for component in components {
match component.chars().next() {
Some('#') => {
bucket.tags = parse_tags(component.get(1..)?)?;
}
Some('T') => {
bucket.timestamp = parse_timestamp(component.get(1..)?)?;
}
_ => (),
}
}
Some(bucket)
}
/// Parses a single metric aggregate from the raw protocol.
///
/// See the [`Bucket`] for more information on the protocol.
///
/// # Example
///
/// ```
/// use relay_metrics::{Bucket, UnixTimestamp};
///
/// let bucket = Bucket::parse(b"response_time@millisecond:57|d", UnixTimestamp::now())
/// .expect("metric should parse");
/// ```
pub fn parse(slice: &[u8], timestamp: UnixTimestamp) -> Result<Self, ParseMetricError> {
let string = std::str::from_utf8(slice).map_err(|_| ParseMetricError)?;
Self::parse_str(string, timestamp).ok_or(ParseMetricError)
}
/// Parses a set of metric aggregates from the raw protocol.
///
/// Returns a metric result for each line in `slice`, ignoring empty lines. Both UNIX newlines
/// (`\n`) and Windows newlines (`\r\n`) are supported.
///
/// It is possible to continue consuming the iterator after `Err` is yielded.
///
/// See [`Bucket`] for more information on the protocol.
///
/// # Example
///
/// ```
/// use relay_metrics::{Bucket, UnixTimestamp};
///
/// let data = br#"
/// endpoint.response_time@millisecond:57|d
/// endpoint.hits:1|c
/// "#;
///
/// for metric_result in Bucket::parse_all(data, UnixTimestamp::now()) {
/// let bucket = metric_result.expect("metric should parse");
/// println!("Metric {}: {:?}", bucket.name, bucket.value);
/// }
/// ```
pub fn parse_all(slice: &[u8], timestamp: UnixTimestamp) -> ParseBuckets<'_> {
ParseBuckets { slice, timestamp }
}
/// Returns the value of the specified tag if it exists.
pub fn tag(&self, name: &str) -> Option<&str> {
self.tags.get(name).map(|s| s.as_str())
}
/// Removes the value of the specified tag.
///
/// If the tag exists, the removed value is returned.
pub fn remove_tag(&mut self, name: &str) -> Option<String> {
self.tags.remove(name)
}
}
impl CardinalityItem for Bucket {
fn namespace(&self) -> Option<MetricNamespace> {
self.name.try_namespace()
}
fn name(&self) -> &MetricName {
&self.name
}
fn to_hash(&self) -> u32 {
let mut hasher = FnvHasher::default();
self.name.hash(&mut hasher);
self.tags.hash(&mut hasher);
hasher.finish32()
}
}
/// Relay internal metadata for a metric bucket.
#[derive(Clone, Copy, Debug, PartialEq, Deserialize, Serialize)]
pub struct BucketMetadata {
/// How many times the bucket was merged.
///
/// Creating a new bucket is the first merge.
/// Merging two buckets sums the amount of merges.
///
/// For example: Merging two un-merged buckets will yield a total
/// of `2` merges.
///
/// Due to how Relay aggregates metrics and later splits them into multiple
/// buckets again, the amount of merges can be zero.
/// When splitting a bucket the total volume of the bucket may only be attributed
/// to one part or distributed across the resulting buckets, in either case
/// values of `0` are possible.
pub merges: u32,
/// Received timestamp of the first metric in this bucket.
///
/// This field should be set to the time in which the first metric of a specific bucket was
/// received in the outermost internal Relay.
pub received_at: Option<UnixTimestamp>,
/// Is `true` if this metric was extracted from a sampled/indexed envelope item.
///
/// The final dynamic sampling decision is always made in processing Relays.
/// If a metric was extracted from an item which is sampled (i.e. retained by dynamic sampling), this flag is `true`.
///
/// Since these metrics from samples carry additional information, e.g. they don't
/// require rate limiting since the sample they've been extracted from was already
/// rate limited, this flag must be included in the aggregation key when aggregation buckets.
#[serde(skip)]
pub extracted_from_indexed: bool,
}
impl BucketMetadata {
/// Creates a fresh metadata instance.
///
/// The new metadata is initialized with `1` merge and a given `received_at` timestamp.
pub fn new(received_at: UnixTimestamp) -> Self {
Self {
merges: 1,
received_at: Some(received_at),
extracted_from_indexed: false,
}
}
/// Whether the metadata does not contain more information than the default.
pub fn is_default(&self) -> bool {
&Self::default() == self
}
/// Merges another metadata object into the current one.
pub fn merge(&mut self, other: Self) {
self.merges = self.merges.saturating_add(other.merges);
self.received_at = match (self.received_at, other.received_at) {
(Some(received_at), None) => Some(received_at),
(None, Some(received_at)) => Some(received_at),
(left, right) => left.min(right),
};
}
}
impl Default for BucketMetadata {
fn default() -> Self {
Self {
merges: 1,
received_at: None,
extracted_from_indexed: false,
}
}
}
/// Iterator over parsed metrics returned from [`Bucket::parse_all`].
#[derive(Clone, Debug)]
pub struct ParseBuckets<'a> {
slice: &'a [u8],
timestamp: UnixTimestamp,
}
impl Default for ParseBuckets<'_> {
fn default() -> Self {
Self {
slice: &[],
// The timestamp will never be returned.
timestamp: UnixTimestamp::from_secs(4711),
}
}
}
impl Iterator for ParseBuckets<'_> {
type Item = Result<Bucket, ParseMetricError>;
fn next(&mut self) -> Option<Self::Item> {
loop {
if self.slice.is_empty() {
return None;
}
let mut split = self.slice.splitn(2, |&b| b == b'\n');
let current = split.next()?;
self.slice = split.next().unwrap_or_default();
let string = match std::str::from_utf8(current) {
Ok(string) => string.strip_suffix('\r').unwrap_or(string),
Err(_) => return Some(Err(ParseMetricError)),
};
if !string.is_empty() {
return Some(Bucket::parse_str(string, self.timestamp).ok_or(ParseMetricError));
}
}
}
}
impl FusedIterator for ParseBuckets<'_> {}
#[cfg(test)]
mod tests {
use similar_asserts::assert_eq;
use crate::protocol::{DurationUnit, MetricUnit};
use super::*;
#[test]
fn test_distribution_value_size() {
// DistributionValue uses a SmallVec internally to prevent an additional allocation and
// indirection in cases where it needs to store only a small number of items. This is
// enabled by a comparably large `GaugeValue`, which stores five atoms. Ensure that the
// `DistributionValue`'s size does not exceed that of `GaugeValue`.
assert!(
std::mem::size_of::<DistributionValue>() <= std::mem::size_of::<GaugeValue>(),
"distribution value should not exceed gauge {}",
std::mem::size_of::<DistributionValue>()
);
}
#[test]
fn test_bucket_value_merge_counter() {
let mut value = BucketValue::Counter(42.into());
value.merge(BucketValue::Counter(43.into())).unwrap();
assert_eq!(value, BucketValue::Counter(85.into()));
}
#[test]
fn test_bucket_value_merge_distribution() {
let mut value = BucketValue::Distribution(dist![1, 2, 3]);
value.merge(BucketValue::Distribution(dist![2, 4])).unwrap();
assert_eq!(value, BucketValue::Distribution(dist![1, 2, 3, 2, 4]));
}
#[test]
fn test_bucket_value_merge_set() {
let mut value = BucketValue::Set(vec![1, 2].into_iter().collect());
value.merge(BucketValue::Set([2, 3].into())).unwrap();
assert_eq!(value, BucketValue::Set(vec![1, 2, 3].into_iter().collect()));
}
#[test]
fn test_bucket_value_merge_gauge() {
let mut value = BucketValue::Gauge(GaugeValue::single(42.into()));
value.merge(BucketValue::gauge(43.into())).unwrap();
assert_eq!(
value,
BucketValue::Gauge(GaugeValue {
last: 43.into(),
min: 42.into(),
max: 43.into(),
sum: 85.into(),
count: 2,
})
);
}
#[test]
fn test_parse_garbage() {
let s = "x23-408j17z4232@#34d\nc3456y7^😎";
let timestamp = UnixTimestamp::from_secs(4711);
let result = Bucket::parse(s.as_bytes(), timestamp);
assert!(result.is_err());
}
#[test]
fn test_parse_counter() {
let s = "transactions/foo:42|c";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
insta::assert_debug_snapshot!(metric, @r###"
Bucket {
timestamp: UnixTimestamp(4711),
width: 0,
name: MetricName(
"c:transactions/foo@none",
),
value: Counter(
42.0,
),
tags: {},
metadata: BucketMetadata {
merges: 1,
received_at: None,
extracted_from_indexed: false,
},
}
"###);
}
#[test]
fn test_parse_counter_packed() {
let s = "transactions/foo:42:17:21|c";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
assert_eq!(metric.value, BucketValue::Counter(80.into()));
}
#[test]
fn test_parse_distribution() {
let s = "transactions/foo:17.5|d";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
insta::assert_debug_snapshot!(metric, @r###"
Bucket {
timestamp: UnixTimestamp(4711),
width: 0,
name: MetricName(
"d:transactions/foo@none",
),
value: Distribution(
[
17.5,
],
),
tags: {},
metadata: BucketMetadata {
merges: 1,
received_at: None,
extracted_from_indexed: false,
},
}
"###);
}
#[test]
fn test_parse_distribution_packed() {
let s = "transactions/foo:17.5:21.9:42.7|d";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
assert_eq!(
metric.value,
BucketValue::Distribution(dist![
FiniteF64::new(17.5).unwrap(),
FiniteF64::new(21.9).unwrap(),
FiniteF64::new(42.7).unwrap()
])
);
}
#[test]
fn test_parse_histogram() {
let s = "transactions/foo:17.5|h"; // common alias for distribution
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
assert_eq!(
metric.value,
BucketValue::Distribution(dist![FiniteF64::new(17.5).unwrap()])
);
}
#[test]
fn test_parse_set() {
let s = "transactions/foo:4267882815|s";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
insta::assert_debug_snapshot!(metric, @r###"
Bucket {
timestamp: UnixTimestamp(4711),
width: 0,
name: MetricName(
"s:transactions/foo@none",
),
value: Set(
{
4267882815,
},
),
tags: {},
metadata: BucketMetadata {
merges: 1,
received_at: None,
extracted_from_indexed: false,
},
}
"###);
}
#[test]
fn test_parse_set_hashed() {
let s = "transactions/foo:e2546e4c-ecd0-43ad-ae27-87960e57a658|s";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
assert_eq!(metric.value, BucketValue::Set([4267882815].into()));
}
#[test]
fn test_parse_set_hashed_packed() {
let s = "transactions/foo:e2546e4c-ecd0-43ad-ae27-87960e57a658:00449b66-d91f-4fb8-b324-4c8bdf2499f6|s";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
assert_eq!(
metric.value,
BucketValue::Set([181348692, 4267882815].into())
);
}
#[test]
fn test_parse_set_packed() {
let s = "transactions/foo:3182887624:4267882815|s";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
assert_eq!(
metric.value,
BucketValue::Set([3182887624, 4267882815].into())
)
}
#[test]
fn test_parse_gauge() {
let s = "transactions/foo:42|g";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
insta::assert_debug_snapshot!(metric, @r###"
Bucket {
timestamp: UnixTimestamp(4711),
width: 0,
name: MetricName(
"g:transactions/foo@none",
),
value: Gauge(
GaugeValue {
last: 42.0,
min: 42.0,
max: 42.0,
sum: 42.0,
count: 1,
},
),
tags: {},
metadata: BucketMetadata {
merges: 1,
received_at: None,
extracted_from_indexed: false,
},
}
"###);
}
#[test]
fn test_parse_gauge_packed() {
let s = "transactions/foo:25:17:42:220:85|g";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
insta::assert_debug_snapshot!(metric, @r###"
Bucket {
timestamp: UnixTimestamp(4711),
width: 0,
name: MetricName(
"g:transactions/foo@none",
),
value: Gauge(
GaugeValue {
last: 25.0,
min: 17.0,
max: 42.0,
sum: 220.0,
count: 85,
},
),
tags: {},
metadata: BucketMetadata {
merges: 1,
received_at: None,
extracted_from_indexed: false,
},
}
"###);
}
#[test]
fn test_parse_implicit_namespace() {
let s = "foo:42|c";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
insta::assert_debug_snapshot!(metric, @r###"
Bucket {
timestamp: UnixTimestamp(4711),
width: 0,
name: MetricName(
"c:custom/foo@none",
),
value: Counter(
42.0,
),
tags: {},
metadata: BucketMetadata {
merges: 1,
received_at: None,
extracted_from_indexed: false,
},
}
"###);
}
#[test]
fn test_parse_unit() {
let s = "transactions/foo@second:17.5|d";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
let mri = MetricResourceIdentifier::parse(&metric.name).unwrap();
assert_eq!(mri.unit, MetricUnit::Duration(DurationUnit::Second));
}
#[test]
fn test_parse_unit_regression() {
let s = "transactions/foo@s:17.5|d";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
let mri = MetricResourceIdentifier::parse(&metric.name).unwrap();
assert_eq!(mri.unit, MetricUnit::Duration(DurationUnit::Second));
}
#[test]
fn test_parse_tags() {
let s = "transactions/foo:17.5|d|#foo,bar:baz";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
insta::assert_debug_snapshot!(metric.tags, @r#"
{
"bar": "baz",
"foo": "",
}
"#);
}
#[test]
fn test_parse_tags_escaped() {
let s = "transactions/foo:17.5|d|#foo:😅\\u{2c}🚀";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
insta::assert_debug_snapshot!(metric.tags, @r#"
{
"foo": "😅,🚀",
}
"#);
}
#[test]
fn test_parse_timestamp() {
let s = "transactions/foo:17.5|d|T1615889449";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
assert_eq!(metric.timestamp, UnixTimestamp::from_secs(1615889449));
}
#[test]
fn test_parse_sample_rate() {
// Sample rate should be ignored
let s = "transactions/foo:17.5|d|@0.1";
let timestamp = UnixTimestamp::from_secs(4711);
Bucket::parse(s.as_bytes(), timestamp).unwrap();
}
#[test]
fn test_parse_invalid_name() {
let s = "foo#bar:42|c";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp).unwrap();
assert_eq!(metric.name.as_ref(), "c:custom/foo_bar@none");
}
#[test]
fn test_parse_empty_name() {
let s = ":42|c";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp);
assert!(metric.is_err());
}
#[test]
fn test_parse_invalid_name_with_leading_digit() {
let s = "64bit:42|c";
let timestamp = UnixTimestamp::from_secs(4711);
let metric = Bucket::parse(s.as_bytes(), timestamp);
assert!(metric.is_err());
}
#[test]
fn test_parse_all() {
let s = "transactions/foo:42|c\nbar:17|c";
let timestamp = UnixTimestamp::from_secs(4711);
let metrics: Vec<Bucket> = Bucket::parse_all(s.as_bytes(), timestamp)
.collect::<Result<_, _>>()
.unwrap();
assert_eq!(metrics.len(), 2);
}
#[test]
fn test_parse_all_crlf() {
let s = "transactions/foo:42|c\r\nbar:17|c";
let timestamp = UnixTimestamp::from_secs(4711);
let metrics: Vec<Bucket> = Bucket::parse_all(s.as_bytes(), timestamp)
.collect::<Result<_, _>>()
.unwrap();
assert_eq!(metrics.len(), 2);
}
#[test]
fn test_parse_all_empty_lines() {
let s = "transactions/foo:42|c\n\n\nbar:17|c";
let timestamp = UnixTimestamp::from_secs(4711);
let metric_count = Bucket::parse_all(s.as_bytes(), timestamp).count();
assert_eq!(metric_count, 2);
}
#[test]
fn test_parse_all_trailing() {
let s = "transactions/foo:42|c\nbar:17|c\n";
let timestamp = UnixTimestamp::from_secs(4711);
let metric_count = Bucket::parse_all(s.as_bytes(), timestamp).count();
assert_eq!(metric_count, 2);
}
#[test]
fn test_metrics_docs() {
let text = include_str!("../tests/fixtures/buckets.statsd.txt").trim_end();
let json = include_str!("../tests/fixtures/buckets.json").trim_end();
let timestamp = UnixTimestamp::from_secs(0);
let statsd_metrics = Bucket::parse_all(text.as_bytes(), timestamp)
.collect::<Result<Vec<_>, _>>()
.unwrap();
let json_metrics: Vec<Bucket> = serde_json::from_str(json).unwrap();
assert_eq!(statsd_metrics, json_metrics);
}
#[test]
fn test_set_docs() {
let text = include_str!("../tests/fixtures/set.statsd.txt").trim_end();
let json = include_str!("../tests/fixtures/set.json").trim_end();
let timestamp = UnixTimestamp::from_secs(1615889449);
let statsd_metric = Bucket::parse(text.as_bytes(), timestamp).unwrap();
let json_metric: Bucket = serde_json::from_str(json).unwrap();
assert_eq!(statsd_metric, json_metric);
}
#[test]
fn test_parse_buckets() {
let json = r#"[
{
"name": "endpoint.response_time",
"unit": "millisecond",
"value": [36, 49, 57, 68],
"type": "d",
"timestamp": 1615889440,
"width": 10,
"tags": {
"route": "user_index"
},
"metadata": {
"merges": 1,
"received_at": 1615889440
}
}
]"#;
let buckets = serde_json::from_str::<Vec<Bucket>>(json).unwrap();
insta::assert_debug_snapshot!(buckets, @r###"
[
Bucket {
timestamp: UnixTimestamp(1615889440),
width: 10,
name: MetricName(
"endpoint.response_time",
),
value: Distribution(
[
36.0,
49.0,
57.0,
68.0,
],
),
tags: {
"route": "user_index",
},
metadata: BucketMetadata {
merges: 1,
received_at: Some(
UnixTimestamp(1615889440),
),
extracted_from_indexed: false,
},
},
]
"###);
}
#[test]
fn test_parse_bucket_defaults() {
let json = r#"[
{
"name": "endpoint.hits",
"value": 4,
"type": "c",
"timestamp": 1615889440,
"width": 10,
"metadata": {
"merges": 1,
"received_at": 1615889440
}
}
]"#;
let buckets = serde_json::from_str::<Vec<Bucket>>(json).unwrap();
insta::assert_debug_snapshot!(buckets, @r###"
[
Bucket {
timestamp: UnixTimestamp(1615889440),
width: 10,
name: MetricName(
"endpoint.hits",
),
value: Counter(
4.0,
),
tags: {},
metadata: BucketMetadata {
merges: 1,
received_at: Some(
UnixTimestamp(1615889440),
),
extracted_from_indexed: false,
},
},
]
"###);
}
#[test]
fn test_buckets_roundtrip() {
let json = r#"[
{
"timestamp": 1615889440,
"width": 10,
"name": "endpoint.response_time",
"type": "d",
"value": [
36.0,
49.0,
57.0,
68.0
],
"tags": {
"route": "user_index"
}
},
{
"timestamp": 1615889440,
"width": 10,
"name": "endpoint.hits",
"type": "c",
"value": 4.0,
"tags": {
"route": "user_index"
}
},
{
"timestamp": 1615889440,
"width": 10,
"name": "endpoint.parallel_requests",
"type": "g",
"value": {
"last": 25.0,
"min": 17.0,
"max": 42.0,
"sum": 2210.0,
"count": 85
}
},
{
"timestamp": 1615889440,
"width": 10,
"name": "endpoint.users",
"type": "s",
"value": [
3182887624,
4267882815
],
"tags": {
"route": "user_index"
}
}
]"#;
let buckets = serde_json::from_str::<Vec<Bucket>>(json).unwrap();
let serialized = serde_json::to_string_pretty(&buckets).unwrap();
assert_eq!(json, serialized);
}
#[test]
fn test_bucket_docs_roundtrip() {
let json = include_str!("../tests/fixtures/buckets.json")
.trim_end()
.replace("\r\n", "\n");
let buckets = serde_json::from_str::<Vec<Bucket>>(&json).unwrap();
let serialized = serde_json::to_string_pretty(&buckets).unwrap();
assert_eq!(json, serialized);
}
#[test]
fn test_bucket_metadata_merge() {
let mut metadata = BucketMetadata::default();
let other_metadata = BucketMetadata::default();
metadata.merge(other_metadata);
assert_eq!(
metadata,
BucketMetadata {
merges: 2,
received_at: None,
extracted_from_indexed: false,
}
);
let other_metadata = BucketMetadata::new(UnixTimestamp::from_secs(10));
metadata.merge(other_metadata);
assert_eq!(
metadata,
BucketMetadata {
merges: 3,
received_at: Some(UnixTimestamp::from_secs(10)),
extracted_from_indexed: false,
}
);
let other_metadata = BucketMetadata::new(UnixTimestamp::from_secs(20));
metadata.merge(other_metadata);
assert_eq!(
metadata,
BucketMetadata {
merges: 4,
received_at: Some(UnixTimestamp::from_secs(10)),
extracted_from_indexed: false,
}
);
}
}