Programmer's Reference Guide

Chapitre 38. Zend_Search_Lucene

Table des matières

38.1. Overview
38.1.1. Introduction
38.1.2. Document and Field Objects
38.1.3. Understanding Field Types
38.1.4. HTML documents
38.2. Building Indexes
38.2.1. Creating a New Index
38.2.2. Updating Index
38.2.3. Updating Documents
38.2.4. Retrieving Index Size
38.2.5. Index optimization
38.2.5.1. MaxBufferedDocs auto-optimization option
38.2.5.2. MaxMergeDocs auto-optimization option
38.2.5.3. MergeFactor auto-optimization option
38.2.6. Permissions
38.2.7. Limitations
38.2.7.1. Index size
38.2.7.2. Supported Filesystems
38.3. Searching an Index
38.3.1. Building Queries
38.3.1.1. Query Parsing
38.3.2. Search Results
38.3.3. Limiting the Result Set
38.3.4. Results Scoring
38.3.5. Search Result Sorting
38.3.6. Search Results Highlighting
38.4. Query Language
38.4.1. Terms
38.4.2. Fields
38.4.3. Wildcards
38.4.4. Term Modifiers
38.4.5. Range Searches
38.4.6. Fuzzy Searches
38.4.7. Proximity Searches
38.4.8. Boosting a Term
38.4.9. Boolean Operators
38.4.9.1. AND
38.4.9.2. OR
38.4.9.3. NOT
38.4.9.4. &&, ||, and ! operators
38.4.9.5. +
38.4.9.6. -
38.4.9.7. No Operator
38.4.10. Grouping
38.4.11. Field Grouping
38.4.12. Escaping Special Characters
38.5. Query Construction API
38.5.1. Query Parser Exceptions
38.5.2. Term Query
38.5.3. Multi-Term Query
38.5.4. Boolean Query
38.5.5. Wildcard Query
38.5.6. Fuzzy Query
38.5.7. Phrase Query
38.5.8. Range Query
38.6. Character Set
38.6.1. UTF-8 and single-byte character set support
38.6.2. Default text analyzer.
38.6.3. UTF-8 compatible text analyzers.
38.7. Extensibility
38.7.1. Text Analysis
38.7.2. Tokens Filtering
38.7.3. Scoring Algorithms
38.7.4. Storage Containers
38.8. Interoperating with Java Lucene
38.8.1. File Formats
38.8.2. Index Directory
38.8.3. Java Source Code
38.9. Advanced
38.9.1. Starting from 1.6, handling index format transformations.
38.9.2. Using the index as static property
38.10. Best Practices
38.10.1. Field names
38.10.2. Indexing performance
38.10.3. Index during Shut Down
38.10.4. Retrieving documents by unique id
38.10.5. Memory Usage
38.10.6. Encoding
38.10.7. Index maintenance

38.1. Overview

38.1.1. Introduction

Zend_Search_Lucene is a general purpose text search engine written entirely in PHP 5. Since it stores its index on the filesystem and does not require a database server, it can add search capabilities to almost any PHP-driven website. Zend_Search_Lucene supports the following features:

  • Ranked searching - best results returned first

  • Many powerful query types: phrase queries, boolean queries, wildcard queries, proximity queries, range queries and many others.

  • Search by specific field (e.g., title, author, contents)

Zend_Search_Lucene was derived from the Apache Lucene project. The currently (starting from ZF 1.6) supported Lucene index format versions are 1.4 - 2.3. For more information on Lucene, visit http://lucene.apache.org/java/docs/.

[Note]

Previous Zend_Search_Lucene implementations support the Lucene 1.4 (1.9) - 2.1 index formats.

Starting from ZF 1.5 any index created using pre-2.1 index format is automatically upgraded to Lucene 2.1 format after the Zend_Search_Lucene update and will not be compatible with Zend_Search_Lucene implementations included into ZF 1.0.x.

38.1.2. Document and Field Objects

Zend_Search_Lucene operates with documents as atomic objects for indexing. A document is divided into named fields, and fields have content that can be searched.

A document is represented by the Zend_Search_Lucene_Document class, and this objects of this class contain instances of Zend_Search_Lucene_Field that represent the fields on the document.

It is important to note that any information can be added to the index. Application-specific information or metadata can be stored in the document fields, and later retrieved with the document during search.

It is the responsibility of your application to control the indexer. This means that data can be indexed from any source that is accessible by your application. For example, this could be the filesystem, a database, an HTML form, etc.

Zend_Search_Lucene_Field class provides several static methods to create fields with different characteristics:


<?php
$doc 
= new Zend_Search_Lucene_Document();

// Field is not tokenized, but is indexed and stored within the index.
// Stored fields can be retrived from the index.
$doc->addField(Zend_Search_Lucene_Field::Keyword('doctype',
                                                 
'autogenerated'));

// Field is not tokenized nor indexed, but is stored in the index.
$doc->addField(Zend_Search_Lucene_Field::UnIndexed('created',
                                                   
time()));

// Binary String valued Field that is not tokenized nor indexed,
// but is stored in the index.
$doc->addField(Zend_Search_Lucene_Field::Binary('icon',
                                                
$iconData));

// Field is tokenized and indexed, and is stored in the index.
$doc->addField(Zend_Search_Lucene_Field::Text('annotation',
                                              
'Document annotation text'));

// Field is tokenized and indexed, but is not stored in the index.
$doc->addField(Zend_Search_Lucene_Field::UnStored('contents',
                                                  
'My document content'));

Each of these methods (excluding the Zend_Search_Lucene_Field::Binary() method) has an optional $encoding parameter for specifying input data encoding.

Encoding may differ for different documents as well as for different fields within one document:


<?php
$doc 
= new Zend_Search_Lucene_Document();
$doc->addField(Zend_Search_Lucene_Field::Text('title'$title'iso-8859-1'));
$doc->addField(Zend_Search_Lucene_Field::UnStored('contents'$contents'utf-8'));

If encoding parameter is omitted, then the current locale is used at processing time. For example:


<?php
setlocale
(LC_ALL'de_DE.iso-8859-1');
...
$doc->addField(Zend_Search_Lucene_Field::UnStored('contents'$contents));

Fields are always stored and returned from the index in UTF-8 encoding. Any required conversion to UTF-8 happens automatically.

Text analyzers (see below) may also convert text to some other encodings. Actually, the default analyzer converts text to 'ASCII//TRANSLIT' encoding. Be careful, however; this translation may depend on current locale.

Fields' names are defined at your discretion in the addField() method.

Java Lucene uses the 'contents' field as a default field to search. Zend_Search_Lucene searches through all fields by default, but the behavior is configurable. See the "Default search field" chapter for details.

38.1.3. Understanding Field Types

  • Keyword fields are stored and indexed, meaning that they can be searched as well as displayed in search results. They are not split up into separate words by tokenization. Enumerated database fields usually translate well to Keyword fields in Zend_Search_Lucene.

  • UnIndexed fields are not searchable, but they are returned with search hits. Database timestamps, primary keys, file system paths, and other external identifiers are good candidates for UnIndexed fields.

  • Binary fields are not tokenized or indexed, but are stored for retrieval with search hits. They can be used to store any data encoded as a binary string, such as an image icon.

  • Text fields are stored, indexed, and tokenized. Text fields are appropriate for storing information like subjects and titles that need to be searchable as well as returned with search results.

  • UnStored fields are tokenized and indexed, but not stored in the index. Large amounts of text are best indexed using this type of field. Storing data creates a larger index on disk, so if you need to search but not redisplay the data, use an UnStored field. UnStored fields are practical when using a Zend_Search_Lucene index in combination with a relational database. You can index large data fields with UnStored fields for searching, and retrieve them from your relational database by using a separate field as an identifier.

    Tableau 38.1. Zend_Search_Lucene_Field Types

    Field Type Stored Indexed Tokenized Binary
    Keyword Yes Yes No No
    UnIndexed Yes No No No
    Binary Yes No No Yes
    Text Yes Yes Yes No
    UnStored No Yes Yes No

38.1.4. HTML documents

Zend_Search_Lucene offers a HTML parsing feature. Documents can be created directly from a HTML file or string:


<?php
$doc 
Zend_Search_Lucene_Document_Html::loadHTMLFile($filename);
$index->addDocument($doc);
...
$doc Zend_Search_Lucene_Document_Html::loadHTML($htmlString);
$index->addDocument($doc);

Zend_Search_Lucene_Document_Html class uses the DOMDocument::loadHTML() and DOMDocument::loadHTMLFile() methods to parse the source HTML, so it doesn't need HTML to be well formed or to be XHTML. On the other hand, it's sensitive to the encoding specied by the "meta http-equiv" header tag.

Zend_Search_Lucene_Document_Html class recognizes document title, body and document header meta tags.

The 'title' field is actually the /html/head/title value. It's stored within the index, tokenized and available for search.

The 'body' field is the actual body content of the HTML file or string. It doesn't include scripts, comments or attributes.

The loadHTML() and loadHTMLFile() methods of Zend_Search_Lucene_Document_Html class also have second optional argument. If it's set to true, then body content is also stored within index and can be retrieved from the index. By default, the body is tokenized and indexed, but not stored.

Other document header meta tags produce additional document fields. The field 'name' is taken from 'name' attribute, and the 'content' attribute populates the field 'value'. Both are tokenized, indexed and stored, so documents may be searched by their meta tags (for example, by keywords).

Parsed documents may be augmented by the programmer with any other field:


<?php
$doc 
Zend_Search_Lucene_Document_Html::loadHTML($htmlString);
$doc->addField(Zend_Search_Lucene_Field::UnIndexed('created',
                                                   
time()));
$doc->addField(Zend_Search_Lucene_Field::UnIndexed('updated',
                                                   
time()));
$doc->addField(Zend_Search_Lucene_Field::Text('annotation',
                                              
'Document annotation text'));
$index->addDocument($doc);

Document links are not included in the generated document, but may be retrieved with the Zend_Search_Lucene_Document_Html::getLinks() and Zend_Search_Lucene_Document_Html::getHeaderLinks() methods:


<?php
$doc 
Zend_Search_Lucene_Document_Html::loadHTML($htmlString);
$linksArray $doc->getLinks();
$headerLinksArray $doc->getHeaderLinks();

Starting from ZF 1.6 it's also possible to exclude links with rel attribute set to 'nofollow'. Use Zend_Search_Lucene_Document_Html::setExcludeNoFollowLinks($true) to turn on this option.

Zend_Search_Lucene_Document_Html::getExcludeNoFollowLinks() method returns current state of "Exclude nofollow links" flag.