blob: 2d185dd49a0fb32ac2c8f5e47ae3b9304171c028 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
|
[[search-aggregations-bucket]]
== Bucket Aggregations
Bucket aggregations don't calculate metrics over fields like the metrics aggregations do, but instead, they create
buckets of documents. Each bucket is associated with a criterion (depending on the aggregation type) which determines
whether or not a document in the current context "falls" into it. In other words, the buckets effectively define document
sets. In addition to the buckets themselves, the `bucket` aggregations also compute and return the number of documents
that "fell in" to each bucket.
Bucket aggregations, as opposed to `metrics` aggregations, can hold sub-aggregations. These sub-aggregations will be
aggregated for the buckets created by their "parent" bucket aggregation.
There are different bucket aggregators, each with a different "bucketing" strategy. Some define a single bucket, some
define fixed number of multiple buckets, and others dynamically create the buckets during the aggregation process.
include::bucket/children-aggregation.asciidoc[]
include::bucket/datehistogram-aggregation.asciidoc[]
include::bucket/daterange-aggregation.asciidoc[]
include::bucket/filter-aggregation.asciidoc[]
include::bucket/filters-aggregation.asciidoc[]
include::bucket/geodistance-aggregation.asciidoc[]
include::bucket/geohashgrid-aggregation.asciidoc[]
include::bucket/global-aggregation.asciidoc[]
include::bucket/histogram-aggregation.asciidoc[]
include::bucket/iprange-aggregation.asciidoc[]
include::bucket/missing-aggregation.asciidoc[]
include::bucket/nested-aggregation.asciidoc[]
include::bucket/range-aggregation.asciidoc[]
include::bucket/reverse-nested-aggregation.asciidoc[]
include::bucket/sampler-aggregation.asciidoc[]
include::bucket/significantterms-aggregation.asciidoc[]
include::bucket/terms-aggregation.asciidoc[]
|
