Although Lucene provides the ability to create your own query's though its API, it also provides a rich query language through the QueryParser.

This page provides syntax of Lucene's Query Parser, a lexer which interprets a string into a Lucene Query using JavaCC.

A query is broken up into terms and operators. There are two types of terms: Single Terms and Phrases.

A Single Term is a single word such as "test" or "hello".

A Phrase is a group of words surrounded by double quotes such as "hello dolly".

Multiple terms can be combined together with Boolean operators to form a more complex query (see below).

Lucene supports fielded data. When performing a search you can either specify a field, or use the default field. The field names and default field is implementation specific.

You can search any field by typing the field name followed by a colon ":" and then the term you are looking for.

As an example, let's assume a Lucene index contains two fields, title and text and text is the default field. If you want to find the document entitled "The Right Way" which contains the text "don't go this way", you can enter:

	title:"The Right Way" AND text:go

or

	title:"Do it right" AND right

Since text is the default field, the field indicator is not required.

Note: The field is only valid for the term that it directly precedes, so the query

	title:Do it right

Will only find "Do" in the title field. It will find "it" and "right" in the default field (in this case the text field).

Lucene supports modifying query terms to provide a wide range of searching options.

Wildcard Searches

Lucene supports single and multiple character wildcard searches. To perform a single character wildcard search use the "?" symbol. To perform a multiple character wildcard search use the "*" symbol. The single character wildcard search looks for terms that match that with the single character replaced. For example, to search for "text" or "test" you can use the search: te?t Multiple character wildcard searches looks for 0 or more characters. For example, to search for test, tests or tester, you can use the search: test* You can also use the wildcard searches in the middle of a term. te*t Note: You cannot use a * or ? symbol as the first character of a search.

Fuzzy Searches

Lucene supports fuzzy searches based on the Levenshtein Distance, or Edit Distance algorithm. To do a fuzzy search use the tilde, "~", symbol at the end of a term. For example to search for a term similar in spelling to "roam" use the fuzzy search: roam~ This search will find terms like foam and roams Note:Terms found by the fuzzy search will automatically get a boost factor of 0.2

Boosting a Term

Lucene provides the relevance level of matching documents based on the terms found. To boost a term use the caret, "^", symbol with a boost factor (a number) at the end of the term you are searching. The higher the boost factor, the more relevant the term will be. Boosting allows you to control the relevance of a document by boosting its term. For example, if you are searching for IBM Microsoft and you want the term "IBM" to be more relevant boost it using the ^ symbol along with the boost factor next to the term. You would type: IBM^4 Microsoft This will make documents with the term IBM appear more relevant. You can also boost Phrase Terms as in the example: "Microsoft Word"^4 "Microsoft Excel" By default, the boost factor is 1.

Boolean operators allow terms to be combined through logic operators. Lucene supports AND, "+", OR, NOT and "-" as Boolean operators(Note: Boolean operators must be ALL CAPS).

OR

The OR operator is the default conjunction operator. This means that if there is no Boolean operator between two terms, the OR operator is used. The OR operator links two terms and finds a matching document if either of the terms exist in a document. This is equivalent to a union using sets. For example to search for documents that contain either "Microsoft Word" or just "Microsoft": "Microsoft Word" Microsoft or "Microsoft Word" OR Microsoft

AND

The AND operator matches documents where both terms exist anywhere in the text of a single document. This is equivalent to an intersection using sets. For example to search for documents that contain "Microsoft Word" and "Microsoft Excel": "Microsoft Word" AND "Microsoft Excel"

+

The "+" or required operator requires that the term after the "+" symbol exist somewhere in a the field of a single document. For example, to search for documents that contain jakarta or lucene: +jakarta apache

NOT

The NOT operator excludes documents that contain the term after NOT. This is equivalent to a difference using sets. For example to search for documents that contain "Microsoft Word" but not "Microsoft Excel": "Microsoft Word" NOT "Microsoft Excel"

-

The "-" or prohibit operator excludes documents that contain the term after the "-" symbol. For example to search for documents that contain "Microsoft Word" but not "Microsoft Excel": "Microsoft Word" -"Microsoft Excel"

Lucene supports using parentheses to group clauses to form sub queries. This can be very useful if you want to control the boolean logic for a query. For example, to search for either "jakarta" or "apache" and "website":

	(jakarta OR apache) AND website

This eliminates any confusion and makes sure you that website must exist and either term jakarta or apache may exist.