Some of these tools, like the Snowball stemmer and the Metaphone phonetic analyzer, are quite sophisticated. Each tool within it is a heuristic, an algorithmic shortcut in lieu of true linguistic comprehension. onField("description"). Lucene, the technology underlying Elasticsearch, is a swiss-army knife composed of many text processing tools. createQuery () Copy In step 3, we'll wrap the Lucene query into a Hibernate query:. onField("productName").matching("apple") In step 2, we will create a Lucene query via the Hibernate query DSL:. However, if both queries match, the match will have a higher relevance compared to if only one query matches: Query combinedQuery = queryBuilder To perform a fuzzy search, use the tilde symbol at the end of a single-word term. ![]() However, the names are different to emphasize that they also have an impact on the relevance.įor example, a SHOULD between two queries is similar to boolean OR: if one of the two queries has a match, this match will be returned. The aggregations are similar to the boolean ones AND, OR and NOT. MUST NOT: the query must not contain the matching elements of the subquery.MUST: the query must contain the matching elements of the subquery.SHOULD: the query should contain the matching elements of the subquery.> The response format can be either XML or JSON.Finally, Hibernate Search also supports combining queries using various strategies: > t.build=true
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