Current section
Files
Jump to
Current section
Files
lib/prometheus/metric/histogram.ex
defmodule Prometheus.Metric.Histogram do
@moduledoc """
A Histogram tracks the size and number of events in buckets.
You can use Histograms for aggregatable calculation of quantiles.
Example use cases for Histograms:
- Response latency;
- Request size.
Histogram expects `buckets` key in a metric spec. Buckets can be:
- a list of numbers in increasing order;
- one of the generate specs (shortcuts for `Prometheus.Buckets` macros)
- :default;
- {:linear, start, step, count};
- {:exponential, start, step, count}.
Example:
```
defmodule ExampleInstrumenter do
use Prometheus.Metric
## to be called at app/supervisor startup.
## to tolerate restarts use declare.
def setup do
Histogram.new([name: :http_request_duration_milliseconds,
labels: [:method],
buckets: [100, 300, 500, 750, 1000],
help: "Http Request execution time."])
end
def instrument(%{time: time, method: method}) do
Histogram.observe([name: :http_request_duration_milliseconds, labels: [method]],
time)
end
end
```
"""
use Prometheus.Erlang, :prometheus_histogram
@doc """
Creates a histogram using `spec`.
Histogram cannot have a label named "le".
Raises `Prometheus.MissingMetricSpecKeyError` if required `spec` key is missing.<br>
Raises `Prometheus.InvalidMetricNameError` if metric name is invalid.<br>
Raises `Prometheus.InvalidMetricHelpError` if help is invalid.<br>
Raises `Prometheus.InvalidMetricLabelsError` if labels isn't a list.<br>
Raises `Prometheus.InvalidMetricNameError` if label name is invalid.<br>
Raises `Prometheus.InvalidValueError` exception if duration_unit is unknown or
doesn't match metric name.<br>
Raises `Prometheus.MFAlreadyExistsError` if a histogram with the same `spec` exists.
Histogram-specific exceptions:
Raises `Prometheus.HistogramNoBucketsError` if buckets are missing, not a list,
empty list or not known buckets spec.<br>
Raises `Prometheus.HistogramInvalidBucketsError` if buckets aren't
in increasing order.<br>
Raises `Prometheus.HistogramInvalidBoundError` if bucket bound isn't a number.
"""
defmacro new(spec) do
Erlang.call([spec])
end
@doc """
Creates a histogram using `spec`.
Histogram cannot have a label named "le".
If a histogram with the same `spec` exists returns `false`.
Raises `Prometheus.MissingMetricSpecKeyError` if required `spec` key is missing.<br>
Raises `Prometheus.InvalidMetricNameError` if metric name is invalid.<br>
Raises `Prometheus.InvalidMetricHelpError` if help is invalid.<br>
Raises `Prometheus.InvalidMetricLabelsError` if labels isn't a list.<br>
Raises `Prometheus.InvalidMetricNameError` if label name is invalid.<br>
Raises `Prometheus.InvalidValueError` exception if duration_unit is unknown or
doesn't match metric name.
Histogram-specific exceptions:
Raises `Prometheus.HistogramNoBucketsError` if buckets are missing, not a list,
empty list or not known buckets spec.<br>
Raises `Prometheus.HistogramInvalidBucketsError` if buckets aren't
in increasing order.<br>
Raises `Prometheus.HistogramInvalidBoundError` if bucket bound isn't a number.
"""
defmacro declare(spec) do
Erlang.call([spec])
end
@doc """
Observes the given amount.
Raises `Prometheus.InvalidValueError` exception if `amount` isn't
a positive integer.<br>
Raises `Prometheus.UnknownMetricError` exception if a histogram for `spec`
can't be found.<br>
Raises `Prometheus.InvalidMetricArityError` exception if labels count mismatch.
"""
defmacro observe(spec, amount \\ 1) do
Erlang.metric_call(spec, [amount])
end
@doc """
Observes the given amount.
If `amount` happened to be a float number even one time(!) you shouldn't
use `observe/2` after dobserve.
Raises `Prometheus.InvalidValueError` exception if `amount` isn't
a positive integer.<br>
Raises `Prometheus.UnknownMetricError` exception if a histogram for `spec`
can't be found.<br>
Raises `Prometheus.InvalidMetricArityError` exception if labels count mismatch.
"""
defmacro dobserve(spec, amount \\ 1) do
Erlang.metric_call(spec, [amount])
end
@doc """
Observes the amount of time spent executing `body`.
Raises `Prometheus.UnknownMetricError` exception if a histogram for `spec`
can't be found.<br>
Raises `Prometheus.InvalidMetricArityError` exception if labels count mismatch.
Raises `Prometheus.InvalidValueError` exception if fun isn't a function or block.
"""
defmacro observe_duration(spec, body) do
env = __CALLER__
Prometheus.Injector.inject(fn(block) ->
quote do
start_time = :erlang.monotonic_time()
try do
unquote(block)
after
end_time = :erlang.monotonic_time()
Prometheus.Metric.Histogram.observe(unquote(spec), end_time - start_time)
end
end
end, env, body)
end
@doc """
Removes histogram series identified by spec.
Raises `Prometheus.UnknownMetricError` exception if a histogram for `spec`
can't be found.<br>
Raises `Prometheus.InvalidMetricArityError` exception if labels count mismatch.
"""
defmacro remove(spec) do
Erlang.metric_call(spec)
end
@doc """
Resets the value of the histogram identified by `spec`.
Raises `Prometheus.UnknownMetricError` exception if a histogram for `spec`
can't be found.<br>
Raises `Prometheus.InvalidMetricArityError` exception if labels count mismatch.
"""
defmacro reset(spec) do
Erlang.metric_call(spec)
end
@doc """
Returns the value of the histogram identified by `spec`. If there is no histogram for
given labels combination, returns `:undefined`.
Raises `Prometheus.UnknownMetricError` exception if a histogram for `spec`
can't be found.<br>
Raises `Prometheus.InvalidMetricArityError` exception if labels count mismatch.
"""
defmacro value(spec) do
Erlang.metric_call(spec)
end
end