![]() ![]() For example, “street” is mapped to both “st” and “street”. Specifically, at indexing time, we map the full form of each street-type to both its abbreviation and to itself. to be treated as synonyms of their full forms “Street”, “Road”, “North”, “South”, etc. To achieve this, we use synonym mappings. We wanted street type and suffix abbreviations “St”, “Rd”, “N”, “S”, etc. For instance, “Row Ville” will match “Rowville”, and “Boxhill” will match “Box Hill”. This is especially useful for some multiword suburb and street names that are often mistyped. This means that the user can leave out all spaces and punctuation and they will still get appropriate suggestions. Ignoring SeparatorsĬompletion suggesters can be configured to “ignore separators”. The most recent release of Elasticsearch (Elasticsearch 5) now ranks non-fuzzy matches above fuzzy ones, and so this work-around may no longer be necessary. To work around this problem, we perform both a fuzzy and a non-fuzzy query and stitch together the results in code, listing the non-fuzzy matches before the fuzzy ones. ![]() Unfortunately, before version 5 of Elasticsearch, fuzzy and non-fuzzy matches were treated equally, and so you were just as likely to have the fuzzy matches listed before the non-fuzzy matches. This is achieved by switching on “fuzzy matching” at query time.Īll else being equal, the service should list exact matches before listing fuzzy matches. For example, when the user types “1 Gingel”, we display “1 Gingella” before “1 Gangele”. Fuzzy MatchingĬompletion suggesters support matching with minor misspellings so that, for example, “511 chorch st” matches “511 Church St”. Instead, completion suggesters in Elasticsearch 5 return the entire document containing the suggestion, and so the “output” and “payload” fields can now be placed elsewhere in the document (in fact they have to be placed elsewhere). NOTE: Since Elasticsearch version 5, the “output” field is no longer supported. Providing multiple “inputs” in this manner ensures that, for example, the address will be suggested even when only the street is entered. The corresponding document indexing request looks like this: So, for example, to index an address like: When suggestions are requested, Elasticsearch responds with the contents of a separate “output” field. These are specified as an array of values in an “input” field of the document. To accommodate this, we take advantage of the fact that completion suggesters allow you to specify multiple variations against which the user’s input is to be matched. Sometimes, a user will type something like “3 Smith St” when the address they are looking for is actually “3-5 Smith St”. For example, the query “brown fox” will not match “quick brown fox”. One of the limitations of completion suggesters is that the matching of user input against suggestions is always strictly from the beginning of the suggestion. The response will contain a list of all the matching documents. Here is an example of a query for completions of the text “511 Chur”: You can make multiple suggestion queries within a single request, and so you need to give a name to the query. To request suggestions, you can either specify a “suggestion” section within a normal query, or use the convenient _suggest end-point. For example, to specify “weights” to be used when ranking the suggestions, your document might look like this: However, if you wish to specify additional information to the suggestion text, then you need to use a longer form. "suggest" : "511 Church St, Richmond, Vic 3121" You can index your suggestions as you would normal Elasticsearch documents: Note that these examples work on Elasticsearch 2, but may need some modifications to work on more recent versions. For example, the following request will create a completion field named “suggest” within a document type called “address” within an index called “address”. To use the completion suggesters, you need to use the special “completion” field type in your index mapping. They are designed to support the prefix matching required by autocompletion more efficiently than the inverted indexes used for normal queries. If the prefix is set to a or b, it returns results outside of context.Elasticsearch completion suggesters work a little differently to normal Elasticsearch/Lucene inverted indices. ![]() Here's the reindexing query POST _reindexĪnd here's the query which returns no results POST test-completion/_search Here's the new test index mappings PUT test-completion For that, I want to try completion suggester but I'm having trouble in reindexing to change the mappings old index. ![]() I have an index and want to support search-as-you-type feature. ![]()
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