org.hibernate.search.query.dsl

Interface QueryBuilder

All Known Implementing Classes:

ConnectedQueryBuilder

public interface QueryBuilder

Builds up Lucene queries for a given entity type following the fluent API pattern. The resulting Query can be obtained from the final Termination object of the invocation chain.

If required, the resulting Query instance can be modified or combined with other queries, be them created via this fluent API or using native Lucene APIs.

Author:

Emmanuel Bernard

Method Summary

Methods

Modifier and Type	Method and Description
AllContext	all() Query matching all documents (typically mixed with a boolean query).
BooleanJunction<BooleanJunction>	bool() Start for building a boolean query.
FacetContext	facet() Build a facet request
TermContext	keyword() Build a term query (see TermQuery).
MoreLikeThisContext	moreLikeThis() Build a query matching resembling content.
PhraseContext	phrase() Build a phrase query (see PhraseQuery).
RangeContext	range() Build a range query (see TermRangeQuery.
SpatialContext	spatial() Build a spatial query

Method Detail

keyword

TermContext keyword()

Build a term query (see TermQuery).

Returns:

a TermContext instance for building the term query

range

RangeContext range()

Build a range query (see TermRangeQuery.

Returns:

a RangeContext instance for building the range query

phrase

PhraseContext phrase()

Build a phrase query (see PhraseQuery).

Returns:

a PhraseContext instance for building the range query

bool

BooleanJunction<BooleanJunction> bool()

Start for building a boolean query.

Returns:

a BooleanJunction instance for building the boolean query

all

AllContext all()

Query matching all documents (typically mixed with a boolean query).

Returns:

an AllContext

facet

FacetContext facet()

Build a facet request

Returns:

the facet context as entry point for building the facet request

spatial

SpatialContext spatial()

Build a spatial query

moreLikeThis

MoreLikeThisContext moreLikeThis()

Build a query matching resembling content. It uses an approach similar to Lucene's MoreLikeThis