2d barcode vb.net Figure 2.9 The Explain window showing how the document s score was calculated in Java

Encoder DataMatrix in Java Figure 2.9 The Explain window showing how the document s score was calculated

Figure 2.9 The Explain window showing how the document s score was calculated
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Getting started with Hibernate Search
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files associated with the index. There are no right-clicks or double-clicks here. What you see is what you get. This file listing helps with determining whether or not the index needs to be optimized.
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This is a listing of all files associated with the currently open index
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Remember, the greater the number of segment files (.cfs), the slower searches become, so be sure to optimize. How often you optimize depends on several factors, but this tab will help you determine how often you will need to do it. For more information about optimization, check out section 9.3.
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Our last Luke tab is the Plugins tab. This is the developer s tab. Five items on this tab will help you accomplish several things. We re going to show only two of these tabs because they apply more to the discussions we re going to have later in the book. Figure 2.11 shows the Custom Similarity plug-in; this allows you to design and test your own Similarity object which enables you to implement your own document scoring mechanism. You will learn all about this in detail in chapter 12.
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The Custom Similarity Designer selection on the Plugins tab
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Figure 2.12 shows the Analyzer Tool. This lets you examine exactly how a particular analyzer affects the text that s put into an index.
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The Analyzer Tool tab for examining how analyzers change text put into indexes
B is a drop-down list of all analyzers found in the classpath. Picking a particular analyzer and clicking the Analyze button will display a list of tokens D generated by that analyzer from the text you enter in the text window C. This makes it quite easy to test
an analyzer to see if it generates the tokens you thought it would. Clicking one of the tokens, then clicking the Hilite button will cause that token to be highlighted in the Original Text window E.
WARNING
Luke has several known issues when the Java Network Launching Protocol (JNLP) version is used. These are enumerated on the Luke download page. One of these issues is recognizing analyzers on the classpath. When you work with analyzers, the authors recommend that you download one of the standalone Luke versions and work with it.
Summary
The best recommendation we can give you for learning how these plug-ins work (and in case you want to write one yourself) is to study Luke s documentation and especially the various plug-ins source code. Remember, Luke s source code is also available for download from the website. That s all for Luke right now. Luke is your best friend in the full-text query jungle, so use it!
Summary
In chapter 1 you saw some of the issues that arise when you try to integrate domain model-centric applications and full-text search technologies (and in particular Lucene). These problems were threefold: a structural mismatch, a synchronization mismatch, and a retrieval mismatch. From what you ve seen so far, does Hibernate Search address all these problems The first problem we faced was the structural mismatch. The structural mismatch comes in two flavors:
Convert the rich object-type structure of a domain model into a set of strings. Express the relationship between objects at the index level.
Hibernate Search addresses the first problem by allowing you to annotate which property and which entity need to be indexed. From them, and thanks to sensitive defaults, Hibernate Search builds the appropriate Lucene indexes and converts the object model into an indexed model. The fine granularity is a plus because it helps the application developer to precisely define what Lucene needs to process and in which condition. This getting-started guide did not show how Hibernate Search solves the relationship issue, because we have to keep a few subjects for the rest of the book. Don t worry; this problem will be addressed. The second mismatch involved synchronization: how to keep the database and the index synchronized with each other. Hibernate Search listens to changes executed by Hibernate Core on indexed entities and applies the same operation to the index. That way, the database and index are kept synchronized transparently for the application developer. Hibernate Search also provides explicit indexing APIs, which are very useful for filling the index initially from an existing data set. The third mismatch was the retrieval mismatch. Hibernate Search provides a match between the Lucene index field names and the property names (out of the box), which helps you to write Lucene queries. The same namespace is used in the object world and the index world. The rest of the Lucene query is entirely up to the application developer. Hibernate Search doesn t hide the underlying Lucene API in order to keep intact all the flexibility of Lucene queries. However, Hibernate Search wraps the Lucene query into a Hibernate query, reusing the Hibernate or Java Persistence APIs to provide a smooth integration into the Hibernate query model. Hibernate Search queries return domain model objects rather than Lucene Document instances. Beyond the API alignment, the semantics of the retrieved objects are similar
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