kolchfa-aws a87fdc0f63
Split query DSL, analyzer, and aggregation sections and add more to analyzer section (#4693)
* Add analyzer documentation

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Add index and search analyzer pages

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Doc review comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Apply suggestions from code review

Co-authored-by: Melissa Vagi <vagimeli@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>

* More doc review comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Apply suggestions from code review

Co-authored-by: Nathan Bower <nbower@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>

* Implemented editorial comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Update index-analyzers.md

Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>

---------

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
Co-authored-by: Melissa Vagi <vagimeli@amazon.com>
Co-authored-by: Nathan Bower <nbower@amazon.com>
2023-08-08 09:41:55 -04:00

1.1 KiB

layout, title, parent, grand_parent, nav_order, redirect_from
layout title parent grand_parent nav_order redirect_from
default Filter Bucket aggregations Aggregations 50
/query-dsl/aggregations/bucket/filter/

Filter aggregations

A filter aggregation is a query clause, exactly like a search query — match or term or range. You can use the filter aggregation to narrow down the entire set of documents to a specific set before creating buckets.

The following example shows the avg aggregation running within the context of a filter. The avg aggregation only aggregates the documents that match the range query:

GET opensearch_dashboards_sample_data_ecommerce/_search
{
  "size": 0,
  "aggs": {
    "low_value": {
      "filter": {
        "range": {
          "taxful_total_price": {
            "lte": 50
          }
        }
      },
      "aggs": {
        "avg_amount": {
          "avg": {
            "field": "taxful_total_price"
          }
        }
      }
    }
  }
}

{% include copy-curl.html %}

Example response

...
"aggregations" : {
  "low_value" : {
    "doc_count" : 1633,
    "avg_amount" : {
      "value" : 38.363175998928355
    }
  }
 }
}