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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 into" each bucket.
- Adjacency Matrix Usage
- Children Aggregation Usage
- Date Histogram Aggregation Usage
- Date Range Aggregation Usage
- Filter Aggregation Usage
- Filters Aggregation Usage
- Geo Distance Aggregation Usage
- Geo Hash Grid Aggregation Usage
- Global Aggregation Usage
- Histogram Aggregation Usage
- Ip Range Aggregation Usage
- Missing Aggregation Usage
- Nested Aggregation Usage
- Range Aggregation Usage
- Reverse Nested Aggregation Usage
- Sampler Aggregation Usage
- Significant Terms Aggregation Usage
- Terms Aggregation Usage
Bucketing aggregations can have sub-aggregations (bucketing or metric). The sub-aggregations will be computed for the buckets which their parent aggregation generates. There is no hard limit on the level/depth of nested aggregations (one can nest an aggregation under a "parent" aggregation, which is itself a sub-aggregation of another higher-level aggregation).
See the Elasticsearch documentation on Bucket aggregations for more details.