Query and filter context
Query and filter context
Relevance scores
By default, Elasticsearch sorts matching search results by relevance score, which measures how well each document matches a query.
The relevance score is a positive floating point number, returned in the _score
metadata field of the search API. The higher the _score
, the more relevant the document. While each query type can calculate relevance scores differently, score calculation also depends on whether the query clause is run in a query or filter context.
Query context
In the query context, a query clause answers the question “How well does this document match this query clause?” Besides deciding whether or not the document matches, the query clause also calculates a relevance score in the _score
metadata field.
Query context is in effect whenever a query clause is passed to a query
parameter, such as the query
parameter in the search API.
Filter context
In a filter context, a query clause answers the question “Does this document match this query clause?” The answer is a simple Yes or No — no scores are calculated. Filter context is mostly used for filtering structured data, e.g.
- Does this
timestamp
fall into the range 2015 to 2016? - Is the
status
field set to"published"
?
Frequently used filters will be cached automatically by Elasticsearch, to speed up performance.
Filter context is in effect whenever a query clause is passed to a filter
parameter, such as the filter
or must_not
parameters in the bool query, the filter
parameter in the constant_score query, or the filter aggregation.
Example of query and filter contexts
Below is an example of query clauses being used in query and filter context in the search
API. This query will match documents where all of the following conditions are met:
- The
title
field contains the wordsearch
. - The
content
field contains the wordelasticsearch
. - The
status
field contains the exact wordpublished
. - The
publish_date
field contains a date from 1 Jan 2015 onwards.
GET /_search
{
"query": {
"bool": {
"must": [
{ "match": { "title": "Search" }},
{ "match": { "content": "Elasticsearch" }}
],
"filter": [
{ "term": { "status": "published" }},
{ "range": { "publish_date": { "gte": "2015-01-01" }}}
]
}
}
}
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Scores calculated for queries in query context are represented as single precision floating point numbers; they have only 24 bits for significand’s precision. Score calculations that exceed the significand’s precision will be converted to floats with loss of precision.
Use query clauses in query context for conditions which should affect the score of matching documents (i.e. how well does the document match), and use all other query clauses in filter context.