exact-match

In ElasticSearch I am trying to get correct scoring using edge_ngram with fuzziness. I would like exact matches to have the highest score and sub matches have lesser scores. Below is my setup and scoring results. settings: { number_of_shards: 1, analysis: { filter: { ngram_filter: { type: 'edge_ngram', min_gram: 2, max_gram: 20 } }, analyzer: { ngram_analyzer: { type: 'custom', tokenizer: 'standard', filter: [ 'lowercase', 'ngram_filter' ] } } } }, mappings: [{ name: 'voter', _all: { 'type': 'string', 'index_analyzer': 'ngram_analyzer', 'search_analyzer': 'standard' }, properties: { last: {

I want to match an exact word and replace it with another word. Here is the SQL Server query that I am using: UPDATE BODYCONTENT SET BODY = CAST(REPLACE(CAST(BODY AS NVARCHAR(MAX)), 'Test' , 'prod') AS NTEXT) WHERE BODY COLLATE Latin1_General_CI_AS LIKE '%Test%' COLLATE Latin1_General_CI_AS; What this query is doing: 'Test','test','TEST' is updated into 'prod' -- This is expected. 'Test2','TestTest', 'Fastest' is updated into 'prod' - I want to avoid this behavior. Please help. Other queries I tried but didn't work: UPDATE BODYCONTENT SET BODY = CAST(REPLACE(CAST(BODY AS NVARCHAR(MAX)), 'Test'

First off there seems to be no way to get an exact match using a full-text search. This seems to be a highly discussed issue when using the full-text search method and there are lots of different solutions to achieve the desired result, however most seem very inefficient. Being I'm forced to use full-text search due to the volume of my database I recently had to implement one of these solutions to get more accurate results. I could not use the ranking results from the full-text search because of how it works. For instance if you searched for a movie called Toy Story and there was also a movie