Struct glean::private::TimingDistributionMetric

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pub struct TimingDistributionMetric { /* private fields */ }

Expand description

A timing distribution metric.

Timing distributions are used to accumulate and store time measurement, for analyzing distributions of the timing data.

Implementations

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impl TimingDistributionMetric

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pub fn new(
meta: CommonMetricData,
time_unit: TimeUnit
) -> TimingDistributionMetric

Creates a new timing distribution metric.

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pub fn start(&self) -> TimerId

Starts tracking time for the provided metric.

This records an error if it’s already tracking time (i.e. set_start was already called with no corresponding set_stop_and_accumulate): in that case the original start time will be preserved.

Arguments

start_time - Timestamp in nanoseconds.

Returns

A unique TimerId for the new timer.

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pub fn stop_and_accumulate(&self, id: TimerId)

Stops tracking time for the provided metric and associated timer id.

Adds a count to the corresponding bucket in the timing distribution. This will record an error if no set_start was called.

Arguments

id - The TimerId to associate with this timing. This allows for concurrent timing of events associated with different ids to the same timespan metric.
stop_time - Timestamp in nanoseconds.

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pub fn cancel(&self, id: TimerId)

Aborts a previous start call.

No error is recorded if no start was called.

Arguments

id - The TimerId to associate with this timing. This allows for concurrent timing of events associated with different ids to the same timing distribution metric.

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pub fn accumulate_samples(&self, samples: Vec<i64, Global>)

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 instance this method was called on is using TimeUnit::Second, 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. Reports an ErrorType::InvalidOverflow error for samples that are longer than MAX_SAMPLE_TIME.

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pub fn accumulate_raw_samples_nanos(&self, samples: Vec<u64, Global>)

Accumulates the provided samples in the metric.

Arguments

samples - A list of samples recorded by the metric. Samples must be in nanoseconds.

Notes

Reports an ErrorType::InvalidOverflow error for samples that are longer than MAX_SAMPLE_TIME.

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pub fn test_get_value(
&self,
ping_name: Option<String>
) -> Option<DistributionData>

Test-only API (exported for FFI purposes).

Gets the currently stored value as an integer.

This doesn’t clear the stored value.

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pub fn test_get_num_recorded_errors(
 &self,
 error: ErrorType,
 ping_name: Option<String>
) -> i32

Exported for test purposes.

Gets the number of recorded errors for the given metric and error type.

Arguments

error - The type of error
ping_name - represents the optional name of the ping to retrieve the metric for. Defaults to the first value in send_in_pings.