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APPLIANCE SOLUTIONS
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On the other side of the full-text search spectrum are fully dedicated products whose focus is mainly on searching heterogeneous content on a website, intranet, or the information system in general. As shown in figure 1.10, they serve as the central indexing and searching service. Thanks to their focus, they tend to have very good performances both at indexing time and for processing queries. The best-known example today is the Google Search Appliance, but the giant is not the only one on this market. Such a tool is deployed on a dedicated server (included or not) and crawls your website, your intranet, and the content of your documents (stored in a content management system or elsewhere) in the background, pretty much like Yahoo! and Google.com do for the web. Those tools are very interesting for the out-of-the-box experience they provide. Beyond the core indexing and searching capabilities that belong to full-text search, these products usually provide some or all of those functionalities:
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Crawling for websites, CMS, wikis, and databases Indexing a variety of document formats such as presentations, spreadsheets, and text documents Providing a unified web page to search this content and render the results
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Black box solutions really shine when you aim at finding data across the enterprise and when they are stored in a variety of areas. Maintenance of these solutions is usually quite low because of their out of-the-box focus. Most products come with an administration interface. They re not primarily focused on providing a business-
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Server dedicated to full-text search
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oriented search capability of a specific application and might lack the flexibility and refinement to do so. Another differentiator you need to look at is the variety of connectors: You might need to manually code access to your information system through some custom connector API if available connectors are lacking or are too generic. For commercial products, pricing may vary, but a price per document indexed or per index size is quite common.
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NOTE
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Apache Solr , a product based on Apache Lucene , is a hybrid product in between the appliance and the library category. It takes care of a lot of the administration but exposes the indexing and searching through an XML-based API.
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Let s now explore the last approach: search libraries.
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LIBRARIES
A full-text search library is an embeddable full-text engine that you can use in your application. This solution is by far the most flexible of the three when the search feature aims at being integrated into an application. Your application will call the library APIs when indexing a document or when searching a list of matching results. The query expressiveness and flexibility is the strong point of such solutions: The application developer can decide which full-text feature will be exposed and which data specifically will be searchable (and potentially manipulate this data before indexing) and is free to decide how a user will express his query (which user interface, which natural language, and so on). Flexibility when indexing is also quite strong since the application developer decides when and what to index and has control over the structure. The application is at the center of the full-text experience, as figure 1.11 shows. Depending on the richness and the popularity of the library you choose, it may be able to read complex formats such as PDFs or Word documents (either as part of the core product or as third-party plug-ins).
Library providing a full-text search engine implementation
Full-text search: a promising solution
Unfortunately, flexibility comes at a price. You need to be able to integrate the fulltext library into your application, as shown in figure 1.11. While it s very easy for a new application, it might be more difficult for an application that has reached the end of its life (or close to it) or for an application for which you don t have the source code. While developers are willing to spend time working on integrating the search phase, they often find it harder to integrate the necessary indexing phase. Said differently, developers would rather avoid the burdens of infrastructure code. But as you ve seen previously, both operations (indexing and searching) are integral parts of a full-text search engine. Among the libraries available to you, Apache Lucene is probably the most popular. Lucene is an open source library from the Apache Software Foundation initially written and still maintained in Java. Because of its popularity, Lucene has subsequently been ported in different languages (C, C++, C#, Objective-C, Perl, PHP, Python, and a few more). Lucene is also noticeable because this library is at the core of Hibernate Search; this is not the last time you ll read about Lucene in this book. Now that we know the three main full-text solutions, the hard part is in front of us. Which one should we choose
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