OpenSearch/docs/reference/mapping/params/boost.asciidoc

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[[index-boost]]
=== `boost`
Individual fields can be _boosted_ -- count more towards the relevance score
-- at index time, with the `boost` parameter as follows:
[source,js]
--------------------------------------------------
PUT my_index
{
"mappings": {
"my_type": {
"properties": {
"title": {
"type": "string",
"boost": 2 <1>
},
"content": {
"type": "string"
}
}
}
}
}
--------------------------------------------------
// AUTOSENSE
<1> Matches on the `title` field will have twice the weight as those on the
`content` field, which has the default `boost` of `1.0`.
Note that a `title` field will usually be shorter than a `content` field. The
default relevance calculation takes field length into account, so a short
`title` field will have a higher natural boost than a long `content` field.
[WARNING]
.Why index time boosting is a bad idea
==================================================
We advise against using index time boosting for the following reasons:
* You cannot change index-time `boost` values without reindexing all of your
documents.
* Every query supports query-time boosting which achieves the same effect. The
difference is that you can tweak the `boost` value without having to reindex.
* Index-time boosts are stored as part of the <<norms,`norm`>>, which is only one
byte. This reduces the resolution of the field length normalization factor
which can lead to lower quality relevance calculations.
==================================================
The only advantage that index time boosting has is that it is copied with the
value into the <<mapping-all-field,`_all`>> field. This means that, when
querying the `_all` field, words that originated from the `title` field will
have a higher score than words that originated in the `content` field.
This functionality comes at a cost: queries on the `_all` field are slower
when index-time boosting is used.