Query String Query The query language query allows humans to describe complex queries using a simple syntax. Terms Plain terms without any other syntax are interpreted as a match query for the term in the default field. The default field is _all unless overridden in the index mapping. Example: water will perform a Match Query for the term water Phrases Phrase queries can be accomplished by placing the phrase in quotes. Example: "light beer" will perform a Match Phrase Query for the phrase light beer Field Scoping You can qualify the field for these searches by prefixing them with the name of the field separated by a colon. Example: brand:Pepsi will perform a Match Query for the term Pepsi , in the brand field. Regular Expressions You can use regular expressions in addition to using terms by wrapping the expression in forward slashes ( / ). Example: /light (beer|wine)/ will perform a regular expression against the terms in the document. The regular expressions can also be used with field scoping. Example: brands:/das.*/ Required, Optional, and Exclusion When your query string includes multiple items, by default these are placed into the SHOULD clause of a Boolean Query. You can change this by prefixing your items with a + or ‘-’. * ‘+’ Prefixing with plus places that item in the MUST portion of the boolean query. * ‘-’ Prefixing with a minus places that item in the MUST NOT portion of the boolean query. Example: +is_bio:T* -brune beer will perform a Boolean Query that MUST satisfy the Match Query for is_bio must be True, MUST NOT satisfy the Match Query for the term brune in the default field, and SHOULD satisfy or not the Match Query for the term beer in the default field. Result documents satisfying the SHOULD clause will score higher than those that do not. Boosting You can influence the relative importance of the clauses by suffixing clauses with the ^ operator followed by a number. Example: chocolat is_bio:*T^5 will perform Match queries for chocolat but bioproducts will score higher. Numeric Ranges You can perform numeric ranges by using the >, >=, <, and <= operators, followed by a numeric value. Example: price:>10 will perform an Numeric Range Query on the price field for values greater than ten. Date Ranges You can perform date range searches by using the >, >=, <, and <= operators, followed by a date value in quotes. Example: price_date:>"2016-09-21" will perform an Date Range Query on the created field for values after September 21, 2016. Escaping The following quoted string enumerates the characters which may be escaped: "+-=&|><!(){}[]^\"~*?:\\/ " NOTE: this list contains the space character. In order to escape these characters, they are prefixed with the \ (backslash) character. In all cases, using the escaped version produces the character itself and is not interpreted by the lexer. Example: my\ name will be interpreted as a single argument to a match query with the value “my name”. Example: "contains a\" character" will be interpreted as a single argument to a phrase query with the value containing a " character