The completion suggester considers all documents in the index, but it is often desirable to serve suggestions filtered and/or boosted by some criteria. For example, you want to suggest song titles filtered by certain artists or you want to boost song titles based on their genre.
To achieve suggestion filtering and/or boosting, you can add context mappings while
configuring a completion field. You can define multiple context mappings for a
completion field.
Every context mapping has a unique name and a type. There are two types: category
and geo. Context mappings are configured under the contexts parameter in
the field mapping.
It is mandatory to provide a context when indexing and querying a context enabled completion field.
The following defines types, each with two context mappings for a completion field:
PUT place
{
"mappings": {
"properties" : {
"suggest" : {
"type" : "completion",
"contexts": [
{ 
"name": "place_type",
"type": "category"
},
{ 
"name": "location",
"type": "geo",
"precision": 4
}
]
}
}
}
}
PUT place_path_category
{
"mappings": {
"properties" : {
"suggest" : {
"type" : "completion",
"contexts": [
{ 
"name": "place_type",
"type": "category",
"path": "cat"
},
{ 
"name": "location",
"type": "geo",
"precision": 4,
"path": "loc"
}
]
},
"loc": {
"type": "geo_point"
}
}
}
}
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Defines a |
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Defines a |
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Defines a |
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Defines a |
Adding context mappings increases the index size for completion field. The completion index is entirely heap resident, you can monitor the completion field index size using Indices Stats.
Category Context
The category context allows you to associate one or more categories with suggestions at index
time. At query time, suggestions can be filtered and boosted by their associated categories.
The mappings are set up like the place_type fields above. If path is defined
then the categories are read from that path in the document, otherwise they must
be sent in the suggest field like this:
PUT place/_doc/1
{
"suggest": {
"input": ["timmy's", "starbucks", "dunkin donuts"],
"contexts": {
"place_type": ["cafe", "food"]
}
}
}
| These suggestions will be associated with cafe and food category. |
If the mapping had a path then the following index request would be enough to
add the categories:
PUT place_path_category/_doc/1
{
"suggest": ["timmy's", "starbucks", "dunkin donuts"],
"cat": ["cafe", "food"]
}
| These suggestions will be associated with cafe and food category. |
If context mapping references another field and the categories are explicitly indexed, the suggestions are indexed with both set of categories.
Category Query
Suggestions can be filtered by one or more categories. The following filters suggestions by multiple categories:
POST place/_search?pretty
{
"suggest": {
"place_suggestion" : {
"prefix" : "tim",
"completion" : {
"field" : "suggest",
"size": 10,
"contexts": {
"place_type": [ "cafe", "restaurants" ]
}
}
}
}
}If multiple categories or category contexts are set on the query they are merged as a disjunction. This means that suggestions match if they contain at least one of the provided context values.
Suggestions with certain categories can be boosted higher than others. The following filters suggestions by categories and additionally boosts suggestions associated with some categories:
POST place/_search?pretty
{
"suggest": {
"place_suggestion" : {
"prefix" : "tim",
"completion" : {
"field" : "suggest",
"size": 10,
"contexts": {
"place_type": [
{ "context" : "cafe" },
{ "context" : "restaurants", "boost": 2 }
]
}
}
}
}
}
|
The context query filter suggestions associated with
categories cafe and restaurants and boosts the
suggestions associated with restaurants by a
factor of |
In addition to accepting category values, a context query can be composed of
multiple category context clauses. The following parameters are supported for a
category context clause:
|
|
The value of the category to filter/boost on. This is mandatory. |
|
|
The factor by which the score of the suggestion
should be boosted, the score is computed by
multiplying the boost with the suggestion weight,
defaults to |
|
|
Whether the category value should be treated as a
prefix or not. For example, if set to |
If a suggestion entry matches multiple contexts the final score is computed as the maximum score produced by any matching contexts.
Geo location Context
A geo context allows you to associate one or more geo points or geohashes with suggestions
at index time. At query time, suggestions can be filtered and boosted if they are within
a certain distance of a specified geo location.
Internally, geo points are encoded as geohashes with the specified precision.
Geo Mapping
In addition to the path setting, geo context mapping accepts the following settings:
|
|
This defines the precision of the geohash to be indexed and can be specified
as a distance value ( |
The index time precision setting sets the maximum geohash precision that
can be used at query time.
Indexing geo contexts
geo contexts can be explicitly set with suggestions or be indexed from a geo point field in the
document via the path parameter, similar to category contexts. Associating multiple geo location context
with a suggestion, will index the suggestion for every geo location. The following indexes a suggestion
with two geo location contexts:
PUT place/_doc/1
{
"suggest": {
"input": "timmy's",
"contexts": {
"location": [
{
"lat": 43.6624803,
"lon": -79.3863353
},
{
"lat": 43.6624718,
"lon": -79.3873227
}
]
}
}
}Geo location Query
Suggestions can be filtered and boosted with respect to how close they are to one or more geo points. The following filters suggestions that fall within the area represented by the encoded geohash of a geo point:
POST place/_search
{
"suggest": {
"place_suggestion" : {
"prefix" : "tim",
"completion" : {
"field" : "suggest",
"size": 10,
"contexts": {
"location": {
"lat": 43.662,
"lon": -79.380
}
}
}
}
}
}When a location with a lower precision at query time is specified, all suggestions that fall within the area will be considered.
If multiple categories or category contexts are set on the query they are merged as a disjunction. This means that suggestions match if they contain at least one of the provided context values.
Suggestions that are within an area represented by a geohash can also be boosted higher than others, as shown by the following:
POST place/_search?pretty
{
"suggest": {
"place_suggestion" : {
"prefix" : "tim",
"completion" : {
"field" : "suggest",
"size": 10,
"contexts": {
"location": [
{
"lat": 43.6624803,
"lon": -79.3863353,
"precision": 2
},
{
"context": {
"lat": 43.6624803,
"lon": -79.3863353
},
"boost": 2
}
]
}
}
}
}
}
|
The context query filters for suggestions that fall under
the geo location represented by a geohash of (43.662, -79.380)
with a precision of 2 and boosts suggestions
that fall under the geohash representation of (43.6624803, -79.3863353)
with a default precision of 6 by a factor of |
If a suggestion entry matches multiple contexts the final score is computed as the maximum score produced by any matching contexts.
In addition to accepting context values, a context query can be composed of
multiple context clauses. The following parameters are supported for a
category context clause:
|
|
A geo point object or a geo hash string to filter or boost the suggestion by. This is mandatory. |
|
|
The factor by which the score of the suggestion
should be boosted, the score is computed by
multiplying the boost with the suggestion weight,
defaults to |
|
|
The precision of the geohash to encode the query geo point.
This can be specified as a distance value ( |
|
|
Accepts an array of precision values at which
neighbouring geohashes should be taken into account.
precision value can be a distance value ( |