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// This Source Code Form is subject to the terms of the Mozilla Public
// License, v. 2.0. If a copy of the MPL was not distributed with this
// file, You can obtain one at https://mozilla.org/MPL/2.0/.
use crate::error_recording::{record_error, ErrorType};
use crate::histogram::{Functional, Histogram};
use crate::metrics::memory_unit::MemoryUnit;
use crate::metrics::{DistributionData, Metric, MetricType};
use crate::storage::StorageManager;
use crate::CommonMetricData;
use crate::Glean;
// The base of the logarithm used to determine bucketing
const LOG_BASE: f64 = 2.0;
// The buckets per each order of magnitude of the logarithm.
const BUCKETS_PER_MAGNITUDE: f64 = 16.0;
// Set a maximum recordable value of 1 terabyte so the buckets aren't
// completely unbounded.
const MAX_BYTES: u64 = 1 << 40;
/// A memory distribution metric.
///
/// Memory distributions are used to accumulate and store memory sizes.
#[derive(Debug)]
pub struct MemoryDistributionMetric {
meta: CommonMetricData,
memory_unit: MemoryUnit,
}
/// Create a snapshot of the histogram.
///
/// The snapshot can be serialized into the payload format.
pub(crate) fn snapshot(hist: &Histogram<Functional>) -> DistributionData {
DistributionData {
// **Caution**: This cannot use `Histogram::snapshot_values` and needs to use the more
// specialized snapshot function.
values: hist.snapshot(),
sum: hist.sum(),
}
}
impl MetricType for MemoryDistributionMetric {
fn meta(&self) -> &CommonMetricData {
&self.meta
}
fn meta_mut(&mut self) -> &mut CommonMetricData {
&mut self.meta
}
}
// IMPORTANT:
//
// When changing this implementation, make sure all the operations are
// also declared in the related trait in `../traits/`.
impl MemoryDistributionMetric {
/// Creates a new memory distribution metric.
pub fn new(meta: CommonMetricData, memory_unit: MemoryUnit) -> Self {
Self { meta, memory_unit }
}
/// Accumulates the provided sample in the metric.
///
/// # Arguments
///
/// * `sample` - The sample to be recorded by the metric. The sample is assumed to be in the
/// configured memory unit of the metric.
///
/// ## Notes
///
/// Values bigger than 1 Terabyte (2<sup>40</sup> bytes) are truncated
/// and an [`ErrorType::InvalidValue`] error is recorded.
pub fn accumulate(&self, glean: &Glean, sample: u64) {
if !self.should_record(glean) {
return;
}
let mut sample = self.memory_unit.as_bytes(sample);
if sample > MAX_BYTES {
let msg = "Sample is bigger than 1 terabyte";
record_error(glean, &self.meta, ErrorType::InvalidValue, msg, None);
sample = MAX_BYTES;
}
glean
.storage()
.record_with(glean, &self.meta, |old_value| match old_value {
Some(Metric::MemoryDistribution(mut hist)) => {
hist.accumulate(sample);
Metric::MemoryDistribution(hist)
}
_ => {
let mut hist = Histogram::functional(LOG_BASE, BUCKETS_PER_MAGNITUDE);
hist.accumulate(sample);
Metric::MemoryDistribution(hist)
}
});
}
/// Accumulates the provided signed samples in the metric.
///
/// This is required so that the platform-specific code can provide us with
/// 64 bit signed integers if no `u64` comparable type is available. This
/// will take care of filtering and reporting errors for any provided negative
/// sample.
///
/// Please note that this assumes that the provided samples are already in
/// the "unit" declared by the instance of the metric type (e.g. if the the
/// instance this method was called on is using [`MemoryUnit::Kilobyte`], then
/// `samples` are assumed to be in that unit).
///
/// # Arguments
///
/// * `samples` - The vector holding the samples to be recorded by the metric.
///
/// ## Notes
///
/// Discards any negative value in `samples` and report an [`ErrorType::InvalidValue`]
/// for each of them.
///
/// Values bigger than 1 Terabyte (2<sup>40</sup> bytes) are truncated
/// and an [`ErrorType::InvalidValue`] error is recorded.
pub fn accumulate_samples_signed(&self, glean: &Glean, samples: Vec<i64>) {
if !self.should_record(glean) {
return;
}
let mut num_negative_samples = 0;
let mut num_too_log_samples = 0;
glean.storage().record_with(glean, &self.meta, |old_value| {
let mut hist = match old_value {
Some(Metric::MemoryDistribution(hist)) => hist,
_ => Histogram::functional(LOG_BASE, BUCKETS_PER_MAGNITUDE),
};
for &sample in samples.iter() {
if sample < 0 {
num_negative_samples += 1;
} else {
let sample = sample as u64;
let mut sample = self.memory_unit.as_bytes(sample);
if sample > MAX_BYTES {
num_too_log_samples += 1;
sample = MAX_BYTES;
}
hist.accumulate(sample);
}
}
Metric::MemoryDistribution(hist)
});
if num_negative_samples > 0 {
let msg = format!("Accumulated {} negative samples", num_negative_samples);
record_error(
glean,
&self.meta,
ErrorType::InvalidValue,
msg,
num_negative_samples,
);
}
if num_too_log_samples > 0 {
let msg = format!(
"Accumulated {} samples larger than 1TB",
num_too_log_samples
);
record_error(
glean,
&self.meta,
ErrorType::InvalidValue,
msg,
num_too_log_samples,
);
}
}
/// **Test-only API (exported for FFI purposes).**
///
/// Gets the currently stored value as an integer.
///
/// This doesn't clear the stored value.
pub fn test_get_value(&self, glean: &Glean, storage_name: &str) -> Option<DistributionData> {
match StorageManager.snapshot_metric_for_test(
glean.storage(),
storage_name,
&self.meta.identifier(glean),
self.meta.lifetime,
) {
Some(Metric::MemoryDistribution(hist)) => Some(snapshot(&hist)),
_ => None,
}
}
/// **Test-only API (exported for FFI purposes).**
///
/// Gets the currently-stored histogram as a JSON String of the serialized value.
///
/// This doesn't clear the stored value.
pub fn test_get_value_as_json_string(
&self,
glean: &Glean,
storage_name: &str,
) -> Option<String> {
self.test_get_value(glean, storage_name)
.map(|snapshot| serde_json::to_string(&snapshot).unwrap())
}
}