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telegraf/plugins/aggregators/histogram/README.md

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# Histogram Aggregator Plugin
This plugin creates histograms containing the counts of field values within the
configured range. The histogram metric is emitted every `period`.
In `cumulative` mode, values added to a bucket are also added to the
consecutive buckets in the distribution creating a [cumulative histogram][1].
> [!NOTE]
> By default bucket counts are not reset between periods and will be
> non-strictly increasing while Telegraf is running. This behavior can be
> by setting the `reset` parameter.
⭐ Telegraf v1.4.0
🏷️ statistics
💻 all
[1]: https://en.wikipedia.org/wiki/Histogram#/media/File:Cumulative_vs_normal_histogram.svg
## Global configuration options <!-- @/docs/includes/plugin_config.md -->
In addition to the plugin-specific configuration settings, plugins support
additional global and plugin configuration settings. These settings are used to
modify metrics, tags, and field or create aliases and configure ordering, etc.
See the [CONFIGURATION.md][CONFIGURATION.md] for more details.
[CONFIGURATION.md]: ../../../docs/CONFIGURATION.md#plugins
## Configuration
```toml @sample.conf
# Configuration for aggregate histogram metrics
[[aggregators.histogram]]
## The period in which to flush the aggregator.
# period = "30s"
## If true, the original metric will be dropped by the
## aggregator and will not get sent to the output plugins.
# drop_original = false
## If true, the histogram will be reset on flush instead
## of accumulating the results.
reset = false
## Whether bucket values should be accumulated. If set to false, "gt" tag will be added.
## Defaults to true.
cumulative = true
## Expiration interval for each histogram. The histogram will be expired if
## there are no changes in any buckets for this time interval. 0 == no expiration.
# expiration_interval = "0m"
## If true, aggregated histogram are pushed to output only if it was updated since
## previous push. Defaults to false.
# push_only_on_update = false
## Example config that aggregates all fields of the metric.
# [[aggregators.histogram.config]]
# ## Right borders of buckets (with +Inf implicitly added).
# buckets = [0.0, 15.6, 34.5, 49.1, 71.5, 80.5, 94.5, 100.0]
# ## The name of metric.
# measurement_name = "cpu"
## Example config that aggregates only specific fields of the metric.
# [[aggregators.histogram.config]]
# ## Right borders of buckets (with +Inf implicitly added).
# buckets = [0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]
# ## The name of metric.
# measurement_name = "diskio"
# ## The concrete fields of metric
# fields = ["io_time", "read_time", "write_time"]
```
The user is responsible for defining the bounds of the histogram bucket as
well as the measurement name and fields to aggregate.
Each histogram config section must contain a `buckets` and `measurement_name`
option. Optionally, if `fields` is set only the fields listed will be
aggregated. If `fields` is not set all fields are aggregated.
The `buckets` option contains a list of floats which specify the bucket
boundaries. Each float value defines the inclusive upper (right) bound of the
bucket. The `+Inf` bucket is added automatically and does not need to be
defined. (For left boundaries, these specified bucket borders and `-Inf` will
be used).
## Measurements & Fields
The postfix `bucket` will be added to each field key.
- measurement1
- field1_bucket
- field2_bucket
### Tags
- `cumulative = true` (default):
- `le`: Right bucket border. It means that the metric value is less than or
equal to the value of this tag. If a metric value is sorted into a bucket,
it is also sorted into all larger buckets. As a result, the value of
`<field>_bucket` is rising with rising `le` value. When `le` is `+Inf`,
the bucket value is the count of all metrics, because all metric values are
less than or equal to positive infinity.
- `cumulative = false`:
- `gt`: Left bucket border. It means that the metric value is greater than
(and not equal to) the value of this tag.
- `le`: Right bucket border. It means that the metric value is less than or
equal to the value of this tag.
- As both `gt` and `le` are present, each metric is sorted in only exactly
one bucket.
## Example Output
Let assume we have the buckets [0, 10, 50, 100] and the following field values
for `usage_idle`: [50, 7, 99, 12]
With `cumulative = true`:
```text
cpu,cpu=cpu1,host=localhost,le=0.0 usage_idle_bucket=0i 1486998330000000000 # none
cpu,cpu=cpu1,host=localhost,le=10.0 usage_idle_bucket=1i 1486998330000000000 # 7
cpu,cpu=cpu1,host=localhost,le=50.0 usage_idle_bucket=2i 1486998330000000000 # 7, 12
cpu,cpu=cpu1,host=localhost,le=100.0 usage_idle_bucket=4i 1486998330000000000 # 7, 12, 50, 99
cpu,cpu=cpu1,host=localhost,le=+Inf usage_idle_bucket=4i 1486998330000000000 # 7, 12, 50, 99
```
With `cumulative = false`:
```text
cpu,cpu=cpu1,host=localhost,gt=-Inf,le=0.0 usage_idle_bucket=0i 1486998330000000000 # none
cpu,cpu=cpu1,host=localhost,gt=0.0,le=10.0 usage_idle_bucket=1i 1486998330000000000 # 7
cpu,cpu=cpu1,host=localhost,gt=10.0,le=50.0 usage_idle_bucket=1i 1486998330000000000 # 12
cpu,cpu=cpu1,host=localhost,gt=50.0,le=100.0 usage_idle_bucket=2i 1486998330000000000 # 50, 99
cpu,cpu=cpu1,host=localhost,gt=100.0,le=+Inf usage_idle_bucket=0i 1486998330000000000 # none
```