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+
+ Although Lucene provides the ability to create your own
+ queries through its API, it also provides a rich query
+ language through the Query Parser, a lexer which
+ interprets a string into a Lucene Query using JavaCC.
+ Generally, the query parser syntax may change from
+ release to release. This page describes the syntax as of
+ the current release. If you are using a different
+ version of Lucene, please consult the copy of
+
+ Before choosing to use the provided Query Parser, please consider the following:
+ docs/queryparsersyntax.html
that was distributed
+ with the version you are using.
+
+
+
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).
+Note: The analyzer used to create the index will be used on the terms and phrases in the query string. + So it is important to choose an analyzer that will not interfere with the terms used in the query string.
+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:
+ + +or
+ +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
+ +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.
+ +Lucene supports single and multiple character wildcard searches within single terms + (not within phrase queries).
+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:
+ + + +Multiple character wildcard searches looks for 0 or more characters. For example, to search for test, tests or tester, you can use the search:
+ +You can also use the wildcard searches in the middle of a term.
+ +Note: You cannot use a * or ? symbol as the first character of a search.
+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 Single word Term. For example to search for a term similar in spelling to "roam" use the fuzzy search:
+ + +This search will find terms like foam and roams.
+ +Starting with Lucene 1.9 an additional (optional) parameter can specify the required similarity. The value is between 0 and 1, with a value closer to 1 only terms with a higher similarity will be matched. For example:
+ +The default that is used if the parameter is not given is 0.5.
+Lucene supports finding words are a within a specific distance away. To do a proximity search use the tilde, "~", symbol at the end of a Phrase. For example to search for a "apache" and "jakarta" within 10 words of each other in a document use the search:
+ + +Range Queries allow one to match documents whose field(s) values + are between the lower and upper bound specified by the Range Query. + Range Queries can be inclusive or exclusive of the upper and lower bounds. + Sorting is done lexicographically.
+ +This will find documents whose mod_date fields have values between 20020101 and 20030101, inclusive. + Note that Range Queries are not reserved for date fields. You could also use range queries with non-date fields:
+ +This will find all documents whose titles are between Aida and Carmen, but not including Aida and Carmen.
+Inclusive range queries are denoted by square brackets. Exclusive range queries are denoted by + curly brackets.
+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
+ + +and you want the term "jakarta" to be more relevant boost it using the ^ symbol along with the boost factor next to the term. + You would type:
+ +This will make documents with the term jakarta appear more relevant. You can also boost Phrase Terms as in the example:
+ + +By default, the boost factor is 1. Although the boost factor must be positive, it can be less than 1 (e.g. 0.2)
+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).
+ +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. + The symbol || can be used in place of the word OR.
+To search for documents that contain either "jakarta apache" or just "jakarta" use the query:
+ + + +or
+ + + +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. The symbol && can be used in place of the word AND.
+To search for documents that contain "jakarta apache" and "Apache Lucene" use the query:
+ + +The "+" or required operator requires that the term after the "+" symbol exist somewhere in a the field of a single document.
+To search for documents that must contain "jakarta" and may contain "lucene" use the query:
+ + +The NOT operator excludes documents that contain the term after NOT. + This is equivalent to a difference using sets. The symbol ! can be used in place of the word NOT.
+To search for documents that contain "jakarta apache" but not "Apache Lucene" use the query:
+ + +Note: The NOT operator cannot be used with just one term. For example, the following search will return no results:
+ + +The "-" or prohibit operator excludes documents that contain the term after the "-" symbol.
+To search for documents that contain "jakarta apache" but not "Apache Lucene" use the query:
+ + +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.
+To search for either "jakarta" or "apache" and "website" use the query:
+ +This eliminates any confusion and makes sure you that website must exist and either term jakarta or apache may exist.
+Lucene supports using parentheses to group multiple clauses to a single field.
+To search for a title that contains both the word "return" and the phrase "pink panther" use the query:
+ +Lucene supports escaping special characters that are part of the query syntax. The current list special characters are
++ - && || ! ( ) { } [ ] ^ " ~ * ? : \
+To escape these character use the \ before the character. For example to search for (1+1):2 use the query:
+ +