Guys,
I'me now done with the level of abstraction and fluidity I wanted out of the
query DSL. Please review before we push that out. Key features:
- fluent API
- use the field bridge system: type is passed, not raw string
- use the analyzer transparently
- simple use case simple, complex use cases possible
I'm showing below a few examples demonstrating key concepts.
Please comment / ask questions.
Term query
query = monthQb
.keyword()
.onField( "monthValue" )
.matching( 2 ) //note that monthValue is of type int
.createQuery();
//term query, showing analyzer integration
query = monthQb
.keyword()
.onField( "mythology_ngram" )
.matching( "snobored" ) //we apply the ngram filter here
.createQuery();
//use fuzzy query
query = monthQb
.keyword()
.fuzzy()
.threshold( .8f ) //optional
.prefixLength( 1 ) //optional
.onField( "mythology" )
.matching( "calder" )
.createQuery();
//use wildcard queries
monthQb
.keyword()
.wildcard()
.onField( "mythology" )
.matching( "mon*" )
.createQuery();
Alternative option
//apply on multiple fields
monthQb.keyword()
.onField( "mythology" )
.boostedTo( 30 )
.andField( "history" )
.matching( "whitening" )
.createQuery();
//boost a field
monthQb
.keyword()
.onField( "history" )
.boostedTo( 30 )
.matching( "whitening" )
.createQuery();
Range query
//Range query
monthQb
.range()
.onField( "estimatedCreation" )
.from( from ) #from and to are actual java.util.Date. We do the
conversion
.to( to ).exclude()
.createQuery();
monthQb
.range()
.onField( "estimatedCreation" )
.below( brithDay )
.createQuery();
Phrase query
monthQb
.phrase()
.slop( 1 )
.onField( "mythology" )
.sentence( "Month whitening" )
.createQuery();
Boolean query
monthQb
.bool()
.should( monthQb.keyword().onField( "mythology" ).matching(
"whitening" ).createQuery() )
.should( monthQb.keyword().onField( "history" ).matching(
"whitening" ).createQuery() )
.createQuery();
//Boolean query all except (recommended)
monthQb
.all()
.except( monthQb.keyword().onField( "mythology" ).matching(
"colder" ).createQuery() )
.createQuery();
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