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Elastic Docs ›Elasticsearch Reference [6.2] ›Search APIs ›Suggesters

Completion Suggester

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Completion Suggester

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In order to understand the format of suggestions, please read the Suggesters page first.

The completion suggester provides auto-complete/search-as-you-type functionality. This is a navigational feature to guide users to relevant results as they are typing, improving search precision. It is not meant for spell correction or did-you-mean functionality like the term or phrase suggesters.

Ideally, auto-complete functionality should be as fast as a user types to provide instant feedback relevant to what a user has already typed in. Hence, completion suggester is optimized for speed. The suggester uses data structures that enable fast lookups, but are costly to build and are stored in-memory.

Mapping

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To use this feature, specify a special mapping for this field, which indexes the field values for fast completions.

PUT music
{
    "mappings": {
        "_doc" : {
            "properties" : {
                "suggest" : {
                    "type" : "completion"
                },
                "title" : {
                    "type": "keyword"
                }
            }
        }
    }
}

Mapping supports the following parameters:

analyzer
The index analyzer to use, defaults to simple. In case you are wondering why we did not opt for the standard analyzer: We try to have easy to understand behaviour here, and if you index the field content At the Drive-in, you will not get any suggestions for a, nor for d (the first non stopword).
search_analyzer
The search analyzer to use, defaults to value of analyzer.
preserve_separators
Preserves the separators, defaults to true. If disabled, you could find a field starting with Foo Fighters, if you suggest for foof.
preserve_position_increments
Enables position increments, defaults to true. If disabled and using stopwords analyzer, you could get a field starting with The Beatles, if you suggest for b. Note: You could also achieve this by indexing two inputs, Beatles and The Beatles, no need to change a simple analyzer, if you are able to enrich your data.
max_input_length
Limits the length of a single input, defaults to 50 UTF-16 code points. This limit is only used at index time to reduce the total number of characters per input string in order to prevent massive inputs from bloating the underlying datastructure. Most usecases won’t be influenced by the default value since prefix completions seldom grow beyond prefixes longer than a handful of characters.

Indexing

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You index suggestions like any other field. A suggestion is made of an input and an optional weight attribute. An input is the expected text to be matched by a suggestion query and the weight determines how the suggestions will be scored. Indexing a suggestion is as follows:

PUT music/_doc/1?refresh
{
    "suggest" : {
        "input": [ "Nevermind", "Nirvana" ],
        "weight" : 34
    }
}

The following parameters are supported:

input
The input to store, this can be an array of strings or just a string. This field is mandatory.
weight
A positive integer or a string containing a positive integer, which defines a weight and allows you to rank your suggestions. This field is optional.

You can index multiple suggestions for a document as follows:

PUT music/_doc/1?refresh
{
    "suggest" : [
        {
            "input": "Nevermind",
            "weight" : 10
        },
        {
            "input": "Nirvana",
            "weight" : 3
        }
    ]
}

You can use the following shorthand form. Note that you can not specify a weight with suggestion(s) in the shorthand form.

PUT music/_doc/1?refresh
{
  "suggest" : [ "Nevermind", "Nirvana" ]
}

Querying

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Suggesting works as usual, except that you have to specify the suggest type as completion. Suggestions are near real-time, which means new suggestions can be made visible by refresh and documents once deleted are never shown. This request:

POST music/_search?pretty
{
    "suggest": {
        "song-suggest" : {
            "prefix" : "nir", 
            "completion" : { 
                "field" : "suggest" 
            }
        }
    }
}

Prefix used to search for suggestions

Type of suggestions

Name of the field to search for suggestions in

returns this response:

{
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits": ...
  "took": 2,
  "timed_out": false,
  "suggest": {
    "song-suggest" : [ {
      "text" : "nir",
      "offset" : 0,
      "length" : 3,
      "options" : [ {
        "text" : "Nirvana",
        "_index": "music",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.0,
        "_source": {
          "suggest": ["Nevermind", "Nirvana"]
        }
      } ]
    } ]
  }
}

_source meta-field must be enabled, which is the default behavior, to enable returning _source with suggestions.

The configured weight for a suggestion is returned as _score. The text field uses the input of your indexed suggestion. Suggestions return the full document _source by default. The size of the _source can impact performance due to disk fetch and network transport overhead. To save some network overhead, filter out unnecessary fields from the _source using source filtering to minimize _source size. Note that the _suggest endpoint doesn’t support source filtering but using suggest on the _search endpoint does:

POST music/_search
{
    "_source": "suggest", 
    "suggest": {
        "song-suggest" : {
            "prefix" : "nir",
            "completion" : {
                "field" : "suggest", 
                "size" : 5 
            }
        }
    }
}

Filter the source to return only the suggest field

Name of the field to search for suggestions in

Number of suggestions to return

Which should look like:

{
    "took": 6,
    "timed_out": false,
    "_shards" : {
        "total" : 5,
        "successful" : 5,
        "skipped" : 0,
        "failed" : 0
    },
    "hits": {
        "total" : 0,
        "max_score" : 0.0,
        "hits" : []
    },
    "suggest": {
        "song-suggest" : [ {
            "text" : "nir",
            "offset" : 0,
            "length" : 3,
            "options" : [ {
                "text" : "Nirvana",
                "_index": "music",
                "_type": "_doc",
                "_id": "1",
                "_score": 1.0,
                "_source": {
                    "suggest": ["Nevermind", "Nirvana"]
                }
            } ]
        } ]
    }
}

The basic completion suggester query supports the following parameters:

field
The name of the field on which to run the query (required).
size
The number of suggestions to return (defaults to 5).
skip_duplicates
Whether duplicate suggestions should be filtered out (defaults to false).

The completion suggester considers all documents in the index. See Context Suggester for an explanation of how to query a subset of documents instead.

In case of completion queries spanning more than one shard, the suggest is executed in two phases, where the last phase fetches the relevant documents from shards, implying executing completion requests against a single shard is more performant due to the document fetch overhead when the suggest spans multiple shards. To get best performance for completions, it is recommended to index completions into a single shard index. In case of high heap usage due to shard size, it is still recommended to break index into multiple shards instead of optimizing for completion performance.

Skip duplicate suggestions

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Queries can return duplicate suggestions coming from different documents. It is possible to modify this behavior by setting skip_duplicates to true. When set, this option filters out documents with duplicate suggestions from the result.

POST music/_search?pretty
{
    "suggest": {
        "song-suggest" : {
            "prefix" : "nor",
            "completion" : {
                "field" : "suggest",
                "skip_duplicates": true
            }
        }
    }
}

when set to true this option can slow down search because more suggestions need to be visited to find the top N.

Fuzzy queries

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The completion suggester also supports fuzzy queries - this means, you can have a typo in your search and still get results back.

POST music/_search?pretty
{
    "suggest": {
        "song-suggest" : {
            "prefix" : "nor",
            "completion" : {
                "field" : "suggest",
                "fuzzy" : {
                    "fuzziness" : 2
                }
            }
        }
    }
}

Suggestions that share the longest prefix to the query prefix will be scored higher.

The fuzzy query can take specific fuzzy parameters. The following parameters are supported:

fuzziness

The fuzziness factor, defaults to AUTO. See Fuzziness for allowed settings.

transpositions

if set to true, transpositions are counted as one change instead of two, defaults to true

min_length

Minimum length of the input before fuzzy suggestions are returned, defaults 3

prefix_length

Minimum length of the input, which is not checked for fuzzy alternatives, defaults to 1

unicode_aware

If true, all measurements (like fuzzy edit distance, transpositions, and lengths) are measured in Unicode code points instead of in bytes. This is slightly slower than raw bytes, so it is set to false by default.

If you want to stick with the default values, but still use fuzzy, you can either use fuzzy: {} or fuzzy: true.

Regex queries

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The completion suggester also supports regex queries meaning you can express a prefix as a regular expression

POST music/_search?pretty
{
    "suggest": {
        "song-suggest" : {
            "regex" : "n[ever|i]r",
            "completion" : {
                "field" : "suggest"
            }
        }
    }
}

The regex query can take specific regex parameters. The following parameters are supported:

flags

Possible flags are ALL (default), ANYSTRING, COMPLEMENT, EMPTY, INTERSECTION, INTERVAL, or NONE. See regexp-syntax for their meaning

max_determinized_states

Regular expressions are dangerous because it’s easy to accidentally create an innocuous looking one that requires an exponential number of internal determinized automaton states (and corresponding RAM and CPU) for Lucene to execute. Lucene prevents these using the max_determinized_states setting (defaults to 10000). You can raise this limit to allow more complex regular expressions to execute.

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