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

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* Doc review comments

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* 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

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* Update index-analyzers.md

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---------

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

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Markdown

---
layout: default
title: Filter
parent: Bucket aggregations
grand_parent: Aggregations
nav_order: 50
redirect_from:
- /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:
```json
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
```json
...
"aggregations" : {
"low_value" : {
"doc_count" : 1633,
"avg_amount" : {
"value" : 38.363175998928355
}
}
}
}
```