feat(generic-metrics): Add Base64 decoding to Snuba processors #5761
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,5 +1,5 @@ | ||
| use adler::Adler32; | ||
| use anyhow::{anyhow, Context, Error}; | ||
| use chrono::DateTime; | ||
| use serde::{ | ||
| de::value::{MapAccessDeserializer, SeqAccessDeserializer}, | ||
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@@ -15,6 +15,7 @@ use crate::{ | |
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| use rust_arroyo::backends::kafka::types::{Headers, KafkaPayload}; | ||
| use rust_arroyo::{counter, timer}; | ||
| static BASE64: data_encoding::Encoding = data_encoding::BASE64; | ||
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| use super::utils::enforce_retention; | ||
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@@ -76,7 +77,7 @@ enum MetricValue { | |
| #[serde(rename = "c")] | ||
| Counter(f64), | ||
| #[serde(rename = "s", deserialize_with = "encoded_series_compat_deserializer")] | ||
| Set(EncodedSeries<u32>), | ||
|
There was a problem hiding this comment. The reason we're changing this is because Relay actually sends the sets as buckets of u32 and not u64. Clickhouse expects u64, but we can test this out locally to make sure it's compatible and we can write data. |
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| #[serde(rename = "d", deserialize_with = "encoded_series_compat_deserializer")] | ||
| Distribution(EncodedSeries<f64>), | ||
| #[serde(rename = "g")] | ||
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@@ -89,16 +90,61 @@ enum MetricValue { | |
| }, | ||
| } | ||
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| trait Decodable<const SIZE: usize>: Copy { | ||
| const SIZE: usize = SIZE; | ||
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| fn decode_bytes(bytes: [u8; SIZE]) -> Self; | ||
| } | ||
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| impl Decodable<4> for u32 { | ||
| fn decode_bytes(bytes: [u8; Self::SIZE]) -> Self { | ||
| Self::from_le_bytes(bytes) | ||
| } | ||
|
Comment on lines
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There was a problem hiding this comment. There was a problem hiding this comment. The few bytes that make up an integer or a floating point number need to be copied out of the slice at some point anyway. As for There still might be a possible optimization where we reinterpret the entire array of bytes as an array of numbers without copying anything (relying on the assumption that the platform represents numbers in little endian notation). But I wouldn't go there in the first iteration. There was a problem hiding this comment.
Would that be with There was a problem hiding this comment. Yes, for example unsafe {
std::mem::transmute::<&[u8], &[u32]>(&raw_bytes)
} |
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| } | ||
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| impl Decodable<8> for u64 { | ||
| fn decode_bytes(bytes: [u8; Self::SIZE]) -> Self { | ||
| Self::from_le_bytes(bytes) | ||
| } | ||
| } | ||
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| impl Decodable<8> for f64 { | ||
| fn decode_bytes(bytes: [u8; Self::SIZE]) -> Self { | ||
| Self::from_le_bytes(bytes) | ||
| } | ||
| } | ||
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| #[derive(Debug, Deserialize)] | ||
| #[serde(tag = "format", rename_all = "lowercase")] | ||
| enum EncodedSeries<T> { | ||
| Array { data: Vec<T> }, | ||
| Base64 { data: String }, | ||
| } | ||
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| impl<T> EncodedSeries<T> { | ||
| fn try_into_vec<const SIZE: usize>(self) -> Result<Vec<T>, anyhow::Error> | ||
| where | ||
| T: Decodable<SIZE>, | ||
| { | ||
| match self { | ||
| EncodedSeries::Array { data } => Ok(data), | ||
| EncodedSeries::Base64 { data, .. } => { | ||
| let decoded_bytes = BASE64.decode(data.as_bytes())?; | ||
| if decoded_bytes.len() % T::SIZE == 0 { | ||
| Ok(decoded_bytes | ||
| .chunks_exact(T::SIZE) | ||
| .map(TryInto::try_into) | ||
| .map(Result::unwrap) // OK to unwrap, `chunks_exact` always yields slices of the right length | ||
| .map(T::decode_bytes) | ||
| .collect()) | ||
| } else { | ||
| Err(anyhow!( | ||
| "Decoded Base64 cannot be chunked into {}, got {}", | ||
| T::SIZE, | ||
| decoded_bytes.len() | ||
| )) | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
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@@ -363,7 +409,7 @@ pub fn process_counter_message( | |
| struct SetsRawRow { | ||
| #[serde(flatten)] | ||
| common_fields: CommonMetricFields, | ||
| set_values: Vec<u32>, | ||
| } | ||
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| impl Parse for SetsRawRow { | ||
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@@ -372,7 +418,7 @@ impl Parse for SetsRawRow { | |
| config: &ProcessorConfig, | ||
| ) -> anyhow::Result<Option<SetsRawRow>> { | ||
| let set_values = match from.value { | ||
| MetricValue::Set(values) => values.try_into_vec()?, | ||
| _ => return Ok(Option::None), | ||
| }; | ||
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@@ -452,11 +498,13 @@ impl Parse for DistributionsRawRow { | |
| from: FromGenericMetricsMessage, | ||
| config: &ProcessorConfig, | ||
| ) -> anyhow::Result<Option<DistributionsRawRow>> { | ||
| let maybe_dist = match from.value { | ||
| MetricValue::Distribution(value) => value.try_into_vec(), | ||
| _ => return Ok(Option::None), | ||
| }; | ||
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| let distribution_values = maybe_dist?; | ||
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| timer!( | ||
| "generic_metrics.messages.dists_value_len", | ||
| distribution_values.len() as u64 | ||
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@@ -757,6 +805,184 @@ mod tests { | |
| "aggregation_option": "ten_second" | ||
| }"#; | ||
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| const DUMMY_BASE64_ENCODED_DISTRIBUTION_MESSAGE: &str = r#"{ | ||
| "version": 2, | ||
| "use_case_id": "spans", | ||
| "org_id": 1, | ||
| "project_id": 3, | ||
| "metric_id": 65563, | ||
| "timestamp": 1704614940, | ||
| "sentry_received_timestamp": 1704614940, | ||
| "tags": {"9223372036854776010":"production","9223372036854776017":"healthy","65690":"metric_e2e_spans_dist_v_VUW93LMS"}, | ||
| "retention_days": 90, | ||
| "mapping_meta":{"d":{"65560":"d:spans/duration@second"},"h":{"9223372036854776017":"session.status","9223372036854776010":"environment"},"f":{"65691":"metric_e2e_spans_dist_k_VUW93LMS"}}, | ||
| "type": "d", | ||
| "value": {"format": "base64", "data": "AAAAAAAACEAAAAAAAADwPwAAAAAAAABA"} | ||
| }"#; | ||
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| const DUMMY_BASE64_ENCODED_SET_MESSAGE: &str = r#"{ | ||
| "version": 2, | ||
| "use_case_id": "spans", | ||
| "org_id": 1, | ||
| "project_id": 3, | ||
| "metric_id": 65563, | ||
| "timestamp": 1704614940, | ||
| "sentry_received_timestamp": 1704614940, | ||
| "tags": {"9223372036854776010":"production","9223372036854776017":"healthy","65690":"metric_e2e_spans_dist_v_VUW93LMS"}, | ||
| "retention_days": 90, | ||
| "mapping_meta":{"d":{"65560":"s:spans/duration@second"},"h":{"9223372036854776017":"session.status","9223372036854776010":"environment"},"f":{"65691":"metric_e2e_spans_set_k_VUW93LMS"}}, | ||
| "type": "s", | ||
| "value": {"format": "base64", "data": "AQAAAAcAAAA="} | ||
| }"#; | ||
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| #[test] | ||
| fn test_base64_decode_f64() { | ||
| assert!( | ||
| EncodedSeries::<f64>::Base64 { | ||
| data: "AAAAAAAACEAAAAAAAADwPwAAAAAAAABA".to_string(), | ||
| } | ||
| .try_into_vec() | ||
| .ok() | ||
| .unwrap() | ||
| == vec![3f64, 1f64, 2f64] | ||
| ) | ||
| } | ||
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| #[test] | ||
| fn test_distribution_processor_with_v2_distribution_message() { | ||
| let result: Result<InsertBatch, Error> = test_processor_with_payload( | ||
| &(process_distribution_message | ||
| as fn( | ||
| rust_arroyo::backends::kafka::types::KafkaPayload, | ||
| crate::types::KafkaMessageMetadata, | ||
| &crate::ProcessorConfig, | ||
| ) | ||
| -> std::result::Result<crate::types::InsertBatch, anyhow::Error>), | ||
| DUMMY_BASE64_ENCODED_DISTRIBUTION_MESSAGE, | ||
| ); | ||
| let expected_row = DistributionsRawRow { | ||
| common_fields: CommonMetricFields { | ||
| use_case_id: "spans".to_string(), | ||
| org_id: 1, | ||
| project_id: 3, | ||
| metric_id: 65563, | ||
| timestamp: 1704614940, | ||
| retention_days: 90, | ||
| tags_key: vec![65690, 9223372036854776010, 9223372036854776017], | ||
| tags_indexed_value: vec![0; 3], | ||
| tags_raw_value: vec![ | ||
| "metric_e2e_spans_dist_v_VUW93LMS".to_string(), | ||
| "production".to_string(), | ||
| "healthy".to_string(), | ||
| ], | ||
| metric_type: "distribution".to_string(), | ||
| materialization_version: 2, | ||
| timeseries_id: 1436359714, | ||
| granularities: vec![ | ||
| GRANULARITY_ONE_MINUTE, | ||
| GRANULARITY_ONE_HOUR, | ||
| GRANULARITY_ONE_DAY, | ||
| ], | ||
| decasecond_retention_days: None, | ||
| min_retention_days: Some(90), | ||
| hr_retention_days: None, | ||
| day_retention_days: None, | ||
| record_meta: Some(1), | ||
| }, | ||
| distribution_values: vec![3f64, 1f64, 2f64], | ||
| enable_histogram: None, | ||
| }; | ||
| assert_eq!( | ||
| result.unwrap(), | ||
| InsertBatch { | ||
| rows: RowData::from_rows([expected_row]).unwrap(), | ||
| origin_timestamp: None, | ||
| sentry_received_timestamp: DateTime::from_timestamp(1704614940, 0), | ||
| cogs_data: Some(CogsData { | ||
| data: BTreeMap::from([("genericmetrics_spans".to_string(), 675)]) | ||
| }) | ||
| } | ||
| ); | ||
| } | ||
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| #[test] | ||
| fn test_base64_decode_32() { | ||
| assert!( | ||
| EncodedSeries::<u32>::Base64 { | ||
| data: "AQAAAAcAAAA=".to_string(), | ||
| } | ||
| .try_into_vec() | ||
| .ok() | ||
| .unwrap() | ||
| == vec![1u32, 7u32] | ||
| ) | ||
| } | ||
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| #[test] | ||
| fn test_base64_decode_32_invalid() { | ||
| assert!(EncodedSeries::<u32>::Base64 { | ||
| data: "AQAAAAcAAA=".to_string(), | ||
| } | ||
| .try_into_vec() | ||
| .is_err()) | ||
| } | ||
|
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| #[test] | ||
| fn test_set_processor_with_v2_set_message() { | ||
| let result = test_processor_with_payload( | ||
| &(process_set_message | ||
| as fn( | ||
| rust_arroyo::backends::kafka::types::KafkaPayload, | ||
| crate::types::KafkaMessageMetadata, | ||
| &crate::ProcessorConfig, | ||
| ) | ||
| -> std::result::Result<crate::types::InsertBatch, anyhow::Error>), | ||
| DUMMY_BASE64_ENCODED_SET_MESSAGE, | ||
| ); | ||
| let expected_row = SetsRawRow { | ||
| common_fields: CommonMetricFields { | ||
| use_case_id: "spans".to_string(), | ||
| org_id: 1, | ||
| project_id: 3, | ||
| metric_id: 65563, | ||
| timestamp: 1704614940, | ||
| retention_days: 90, | ||
| tags_key: vec![65690, 9223372036854776010, 9223372036854776017], | ||
| tags_indexed_value: vec![0; 3], | ||
| tags_raw_value: vec![ | ||
| "metric_e2e_spans_dist_v_VUW93LMS".to_string(), | ||
| "production".to_string(), | ||
| "healthy".to_string(), | ||
| ], | ||
| metric_type: "set".to_string(), | ||
| materialization_version: 2, | ||
| timeseries_id: 1436359714, | ||
| granularities: vec![ | ||
| GRANULARITY_ONE_MINUTE, | ||
| GRANULARITY_ONE_HOUR, | ||
| GRANULARITY_ONE_DAY, | ||
| ], | ||
| decasecond_retention_days: None, | ||
| min_retention_days: Some(90), | ||
| hr_retention_days: None, | ||
| day_retention_days: None, | ||
| record_meta: Some(1), | ||
| }, | ||
| set_values: vec![1u32, 7u32], | ||
| }; | ||
| assert_eq!( | ||
| result.unwrap(), | ||
| InsertBatch { | ||
| rows: RowData::from_rows([expected_row]).unwrap(), | ||
| origin_timestamp: None, | ||
| sentry_received_timestamp: DateTime::from_timestamp(1704614940, 0), | ||
| cogs_data: Some(CogsData { | ||
| data: BTreeMap::from([("genericmetrics_spans".to_string(), 654)]) | ||
| }) | ||
| } | ||
| ); | ||
| } | ||
|
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| #[test] | ||
| fn test_shouldnt_killswitch() { | ||
| let fake_config = Ok(Some("[custom]".to_string())); | ||
|
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,6 @@ | ||
| --- | ||
| source: src/processors/mod.rs | ||
| description: "{\n \"version\": 2,\n \"use_case_id\": \"spans\",\n \"org_id\": 1,\n \"project_id\": 3,\n \"metric_id\": 65563,\n \"timestamp\": 1704614940,\n \"sentry_received_timestamp\": 1704614940,\n \"tags\": {\n \"9223372036854776010\": \"production\",\n \"9223372036854776017\": \"healthy\",\n \"65690\": \"metric_e2e_spans_dist_v_VUW93LMS\"\n },\n \"retention_days\": 90,\n \"mapping_meta\": {\n \"d\": {\n \"65560\": \"d:spans/duration@second\"\n },\n \"h\": {\n \"9223372036854776017\": \"session.status\",\n \"9223372036854776010\": \"environment\"\n },\n \"f\": {\n \"65691\": \"metric_e2e_spans_dist_k_VUW93LMS\"\n }\n },\n \"type\": \"d\",\n \"value\": {\n \"format\": \"base64\",\n \"data\": \"AAAAAAAACEAAAAAAAADwPwAAAAAAAABA\"\n }\n}\n" | ||
| expression: snapshot_payload | ||
| --- | ||
| [] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,6 @@ | ||
| --- | ||
| source: src/processors/mod.rs | ||
| description: "{\n \"version\": 2,\n \"use_case_id\": \"spans\",\n \"org_id\": 1,\n \"project_id\": 3,\n \"metric_id\": 65562,\n \"timestamp\": 1704614940,\n \"sentry_received_timestamp\": 1704614940,\n \"tags\": {\n \"9223372036854776010\": \"production\",\n \"9223372036854776017\": \"errored\",\n \"65690\": \"metric_e2e_spans_set_v_VUW93LMS\"\n },\n \"retention_days\": 90,\n \"mapping_meta\": {\n \"h\": {\n \"9223372036854776017\": \"session.status\",\n \"9223372036854776010\": \"environment\"\n },\n \"f\": {\n \"65690\": \"metric_e2e_spans_set_k_VUW93LMS\"\n },\n \"d\": {\n \"65562\": \"s:spans/error@none\"\n }\n },\n \"type\": \"s\",\n \"value\": {\n \"format\": \"base64\",\n \"data\": \"AQAAAAcAAAA=\"\n }\n}\n" | ||
| expression: snapshot_payload | ||
| --- | ||
| [] |
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I believe we want to also bump the Kafka schema in this file
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did it