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OpenSearch/docs/reference/aggregations/metrics.asciidoc

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[DOCS] Restructure Aggs documentation
2015-05-01 16:04:55 -04:00
[[search-aggregations-metrics]]
== Metrics Aggregations
The aggregations in this family compute metrics based on values extracted in one way or another from the documents that
are being aggregated. The values are typically extracted from the fields of the document (using the field data), but
can also be generated using scripts.
Numeric metrics aggregations are a special type of metrics aggregation which output numeric values. Some aggregations output
a single numeric metric (e.g. `avg`) and are called `single-value numeric metrics aggregation`, others generate multiple
metrics (e.g. `stats`) and are called `multi-value numeric metrics aggregation`. The distinction between single-value and
multi-value numeric metrics aggregations plays a role when these aggregations serve as direct sub-aggregations of some
bucket aggregations (some bucket aggregations enable you to sort the returned buckets based on the numeric metrics in each bucket).
include::metrics/avg-aggregation.asciidoc[]
Add WeightedAvg metric aggregation (#31037) Adds a new single-value metrics aggregation that computes the weighted average of numeric values that are extracted from the aggregated documents. These values can be extracted from specific numeric fields in the documents. When calculating a regular average, each datapoint has an equal "weight"; it contributes equally to the final value. In contrast, weighted averages scale each datapoint differently. The amount that each datapoint contributes to the final value is extracted from the document, or provided by a script. As a formula, a weighted average is the `∑(value * weight) / ∑(weight)` A regular average can be thought of as a weighted average where every value has an implicit weight of `1`. Closes #15731
2018-07-23 18:33:15 -04:00
include::metrics/weighted-avg-aggregation.asciidoc[]
[DOCS] Restructure Aggs documentation
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include::metrics/cardinality-aggregation.asciidoc[]
include::metrics/extendedstats-aggregation.asciidoc[]
include::metrics/geobounds-aggregation.asciidoc[]
Adds geo_centroid metric aggregator This commit adds a new metric aggregator for computing the geo_centroid over a set of geo_point fields. This can be combined with other aggregators (e.g., geohash_grid, significant_terms) for computing the geospatial centroid based on the document sets from other aggregation results.
2015-09-16 17:54:54 -04:00
include::metrics/geocentroid-aggregation.asciidoc[]
[DOCS] Restructure Aggs documentation
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include::metrics/max-aggregation.asciidoc[]
include::metrics/min-aggregation.asciidoc[]
include::metrics/percentile-aggregation.asciidoc[]
include::metrics/percentile-rank-aggregation.asciidoc[]
include::metrics/scripted-metric-aggregation.asciidoc[]
include::metrics/stats-aggregation.asciidoc[]
include::metrics/sum-aggregation.asciidoc[]
include::metrics/tophits-aggregation.asciidoc[]
include::metrics/valuecount-aggregation.asciidoc[]
median absolute deviation agg (#34482) This commit adds a new single value metric aggregation that calculates the statistic called median absolute deviation, which is a measure of variability that works on more types of data than standard deviation Our calculation of MAD is approximated using t-digests. In the collect phase, we collect each value visited into a t-digest. In the reduce phase, we merge all value t-digests, then create a t-digest of deviations using the first t-digest's median and centroids
2018-10-30 10:22:52 -04:00
include::metrics/median-absolute-deviation-aggregation.asciidoc[]
[DOCS] Restructure Aggs documentation
2015-05-01 16:04:55 -04:00