In the previous example, only field name is boosted to 5. Sometimes, one field should be treated differently from anotherįield even if searching the same term, you can use theĪndField() method for that. onFields ( 'history', 'description', 'name' ). To search the same word on multiple fields, use the search document with storm or lightning in their history Query luceneQuery = mythQB. To search for multiple possible words in the same field, simplyĪdd them all in the matching clause. If for some reason you do not want a specific field to use theįield bridge or the analyzer you can call the We will then be able to find the Sysiphus myth The matching word 'Sisiphus' will be lower-cased and then split Entity Indexed public class Myth Date birthdate =. Let's see how you can search a property that is not of type Generates several terms for a given word, a boolean query is used (lower case, n-gram, stemming and so on). The query uses the same term transformation than the indexing The field bridge value is then passed to the analyzer used In case the DSL is missing some features.ĭoes not matter here but you will see that it's quite handy when Lucene programmatic API and use them with the Hibernate Search DSL. Or Query objects you have assembled with the You can easily mix and match queries generated via Lucene's query parser Important to realize that the end result of a Using the query builder, you can then build queries. overridesForField ( 'history', 'stem_analyzer_definition' ). This is rarely needed and should be avoided unless you know what You can also override the analyzer used for a given field orįields. QueryBuilders (one for each entity type involved

QueryBuilder will know what analyzer to use and You first need to create a queryīuilder that is attached to a given indexed entity type. It often uses the chaining method pattern It limits the options offered to what makes sense in a givenĬontext (thanks to strong typing and IDE autocompletion). You can use additional search parameters to control how search results are returned and include additional information such as facets, highlights, and suggestions with your search results.įor information about all of the Amazon CloudSearch search parameters, see the Search API.It has meaningful method names making a succession of Queries in the Amazon CloudSearch structured search syntax. Search services to an Amazon CloudSearch domain without having to completely rewrite your search The DisMax syntax, using the dismax query parser enables you to migrate your Parser syntax defined by the DisMax query parser. If you currently use the Lucene syntax, using the lucene query parserĮnables you to migrate your search services to an Amazon CloudSearch domain without having toĬompletely rewrite your search queries in the Amazon CloudSearch structured search syntax.ĭismax-specify search criteria using the simplified subset of the Apache Lucene query Lucene-specify search criteria using the Apache Lucene query parser syntax. Structured-search specific fields, construct compound queries using Boolean operators, and use advanced features such as term boosting and proximity searching. The simple query parser is usedīy default if the q.parser parameter is not specified. To search particularįields, you can specify the fields you want to search with the Optional, or exclude matches that contain particular terms. The simple query parser enables you to search for

Apache lucene query syntax