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ref(metrics): Add custom and more builtin units [INGEST-939] #1217

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Apr 7, 2022
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1 change: 1 addition & 0 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@
- Remove unused item types. ([#1211](https://github.com/getsentry/relay/pull/1211))
- Pin click dependency in requirements-dev.txt. ([#1214](https://github.com/getsentry/relay/pull/1214))
- Use fully qualified metric resource identifiers (MRI) for metrics ingestion. For example, the sessions duration is now called `d:sessions/duration@s`. ([#1215](https://github.com/getsentry/relay/pull/1215))
- Introduce metric units for rates and information, add support for custom user-declared units, and rename duration units to self-explanatory identifiers such as `second`. ([#1217](https://github.com/getsentry/relay/pull/1217))

## 22.3.0

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8 changes: 4 additions & 4 deletions relay-metrics/src/aggregation.rs
Original file line number Diff line number Diff line change
Expand Up @@ -616,7 +616,7 @@ pub struct ParseBucketError(#[cause] serde_json::Error);
/// "timestamp": 1615889440,
/// "name": "endpoint.response_time",
/// "type": "d",
/// "unit": "ms",
/// "unit": "millisecond",
/// "value": [36, 49, 57, 68],
/// "tags": {
/// "route": "user_index"
Expand Down Expand Up @@ -1365,7 +1365,7 @@ mod tests {

use super::*;

use crate::{DurationPrecision, MetricUnit};
use crate::{DurationUnit, MetricUnit};

struct BucketCountInquiry;

Expand Down Expand Up @@ -1520,7 +1520,7 @@ mod tests {
let json = r#"[
{
"name": "endpoint.response_time",
"unit": "ms",
"unit": "millisecond",
"value": [36, 49, 57, 68],
"type": "d",
"timestamp": 1615889440,
Expand Down Expand Up @@ -1877,7 +1877,7 @@ mod tests {
let metric1 = some_metric();

let mut metric2 = metric1.clone();
metric2.unit = MetricUnit::Duration(DurationPrecision::Second);
metric2.unit = MetricUnit::Duration(DurationUnit::Second);

// It's OK to have same metric with different units:
aggregator.insert(project_key, metric1).unwrap();
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44 changes: 16 additions & 28 deletions relay-metrics/src/lib.rs
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
//! looks like this:
//!
//! ```text
//! endpoint.response_time@ms:57|d|#route:user_index
//! endpoint.response_time@millisecond:57|d|#route:user_index
//! endpoint.hits:1|c|#route:user_index
//! ```
//!
Expand All @@ -26,7 +26,7 @@
//! ```text
//! {}
//! {"type": "metrics", "timestamp": 1615889440, ...}
//! endpoint.response_time@ms:57|d|#route:user_index
//! endpoint.response_time@millisecond:57|d|#route:user_index
//! ...
//! ```
//!
Expand All @@ -48,7 +48,7 @@
//! [
//! {
//! "name": "endpoint.response_time",
//! "unit": "ms",
//! "unit": "millisecond",
//! "value": [36, 49, 57, 68],
//! "type": "d",
//! "timestamp": 1615889440,
Expand All @@ -71,34 +71,22 @@
//! # Ingestion
//!
//! Processing Relays write aggregate buckets into the ingestion Kafka stream. The schema is similar
//! to the aggregation payload, with the addition of scoping information:
//! to the aggregation payload, with the addition of scoping information. Each bucket is sent in a
//! separate message:
//!
//! ```json
//! [
//! {
//! "org_id": 1,
//! "project_id": 42,
//! "name": "endpoint.response_time",
//! "unit": "ms",
//! "value": [36, 49, 57, 68],
//! "type": "d",
//! "timestamp": 1615889440,
//! "tags": {
//! "route": "user_index"
//! }
//! },
//! {
//! "org_id": 1,
//! "project_id": 42,
//! "name": "endpoint.hits",
//! "value": 4,
//! "type": "c",
//! "timestamp": 1615889440,
//! "tags": {
//! "route": "user_index"
//! }
//! {
//! "org_id": 1,
//! "project_id": 42,
//! "name": "endpoint.response_time",
//! "unit": "millisecond",
//! "value": [36, 49, 57, 68],
//! "type": "d",
//! "timestamp": 1615889440,
//! "tags": {
//! "route": "user_index"
//! }
//! ]
//! }
//! ```
#![warn(missing_docs)]
#![doc(
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