javascript full text search of json query results

It automatically generates phrase queries for multi-term synonyms. Use the auto_generate_synonyms_phrase_query Boolean field. You can also run multi-term queries that allow for generating synonyms. Then OpenSearch tries to match those terms against its indexes. The default is a good choice for most use cases.įuzzy queries “expand to” a number of matching terms that are within the distance specified in fuzziness. If fuzzy_transpositions is false, rewind and wnid have the same distance (2) from wind, despite the more human-centric opinion that wnid is an obvious typo. For example, the distance between wind and wnid is 1 if fuzzy_transpositions is true (swap “n” and “i”) and 2 if it is false (delete “n”, insert “n”). Setting fuzzy_transpositions to true (default) adds swaps of adjacent characters to the insert, delete, and substitute operations of the fuzziness option. The default, AUTO, chooses a value based on the length of each term and is a good choice for most use cases. For example, the distance between wined and wind is 1. The number of character edits (insert, delete, substitute) that it takes to change one word to another when determining whether a term matched a value. For example, to map your index with the French language analyzer, specify the french value for the analyzer field: To use the analyzer when you map an index, specify the value within your query. OpenSearch supports the following language values with the analyzer option: arabic, armenian, basque, bengali, brazilian, bulgarian, catalan, czech, danish, dutch, english, estonian, finnish, french, galicia, german, greek, hindi, hungarian, indonesian, irish, italian, latvian, lithuanian, norwegian, persian, portuguese, romanian, russian, sorani, spanish, swedish, turkish, and thai. The stop analyzer, for example, removes stop words (e.g., “an,” “but,” “this”) from the query string. Different analyzers have different character filters, tokenizers, and token filters. You can use the following options with the analyzer field: standard, simple, whitespace, stop, keyword, pattern, fingerprint, and language. OpenSearch provides the analyzer option to convert your structured text into the format that works best for your searches. Snapshot Management in OpenSearch Dashboards.

Javascript full text search of json query results