IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

› ›

Term level queries

edit

Term level queries

edit

While the full text queries will analyze the query string before executing, the term-level queries operate on the exact terms that are stored in the inverted index.

These queries are usually used for structured data like numbers, dates, and enums, rather than full text fields. Alternatively, they allow you to craft low-level queries, foregoing the analysis process.

The queries in this group are:

term query: Find documents which contain the exact term specified in the field specified.
terms query: Find documents which contain any of the exact terms specified in the field specified.
range query: Find documents where the field specified contains values (dates, numbers, or strings) in the range specified.
exists query: Find documents where the field specified contains any non-null value.
prefix query: Find documents where the field specified contains terms which being with the exact prefix specified.
wildcard query: Find documents where the field specified contains terms which match the pattern specified, where the pattern supports single character wildcards (?) and multi-character wildcards (*)
regexp query: Find documents where the field specified contains terms which match the regular expression specified.
fuzzy query: Find documents where the field specified contains terms which are fuzzily similar to the specified term. Fuzziness is measured as a Levenshtein edit distance of 1 or 2.
type query: Find documents of the specified type.
ids query: Find documents with the specified type and IDs.

Term Query

edit

See Term Query

termQuery(
        "name",                                              
        "kimchy");

	field
	text

Terms Query

edit

See Terms Query

termsQuery("tags",                                           
        "blue", "pill");

	field
	values

Range Query

edit

See Range Query

rangeQuery("price")                                          
    .from(5)                                                 
    .to(10)                                                  
    .includeLower(true)                                      
    .includeUpper(false);

	field
	from
	to
	include lower value means that `from` is `gt` when `false` or `gte` when `true`
	include upper value means that `to` is `lt` when `false` or `lte` when `true`

// A simplified form using gte, gt, lt or lte
rangeQuery("age")                                             
    .gte("10")                                                
    .lt("20");

	field
	set `from` to 10 and `includeLower` to `true`
	set `to` to 20 and `includeUpper` to `false`

Exists Query

edit

See Exists Query.

existsQuery("name");

field

Prefix Query

edit

See Prefix Query

prefixQuery(
        "brand",                                             
        "heine");

	field
	prefix

Wildcard Query

edit

See Wildcard Query

wildcardQuery(
        "user",                                              
        "k?mch*");

	field
	wildcard expression

Regexp Query

edit

See Regexp Query

regexpQuery(
        "name.first",                                        
        "s.*y");

	field
	regexp

Fuzzy Query

edit

See Fuzzy Query

fuzzyQuery(
        "name",                                              
        "kimchy");

	field
	text

Type Query

edit

See Type Query

typeQuery("my_type");

type

Ids Query

edit

See Ids Query

idsQuery("my_type", "type2")
        .addIds("1", "4", "100");

idsQuery()                                                   
        .addIds("1", "4", "100");

type is optional

« Full text queries Compound queries »