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Be careful with the Delete All Docs button. Be positive about which index you have open before clicking this button. It would be a sad day if you forgot you were looking at the production index!
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You may have noticed several terms scattered about this tab like Doc freq of this term and Term freq in this doc. We ll explain these terms and use them a lot in chapter 12, but for now, don t worry about them. Their meaning will become clear, and they ll mean a lot more then.
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Getting started with Hibernate Search
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We re finally going to discuss the Search tab. This is important because the authors find themselves on this tab the vast majority of time when they re testing the effect of different analyzers, what the stop word effect will be, and the general behavior of a query. Figure 2.8 shows this tab.
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The Search tab showing the search window, details, and the results window
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is the search window. Here you enter search expressions based on the current index. Searches are expressed utilizing the Lucene query parser syntax. In this example the search is for two terms, both of which must occur in the Description field, and both terms are required (that s what the + signs indicate). A complete discussion of the syntax is given on the Lucene website at http:/ /lucene.apache.org/java/docs/ queryparsersyntax.html or in the Lucene documentation available in each distribution. We ll also cover the essential part of this syntax in chapter 7. You must specify the field name of a term (using the field_name: syntax) if you wish to query a different field than the one specified in the Default field just under E. The uses of the +, -, ~ and other symbols are explained on the website.
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Luke: inside look into Lucene indexes
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After you enter your query in B, select the analyzer E to use to parse your query. The default analyzers supported by Luke are:
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When Luke initializes, it looks in the classpath for any additional analyzers and adds them to the drop-down list. That s how you can test any analyzer that you may have written. All you have to do then is select it from the drop-down list. Then click the Update button between B and C, and the parsed query will be shown in the Parsed window C. We strongly recommend you get into the habit of doing this because, many times, the analyzer does things a little differently than you think it would. This will save you from heartaches. The Search button F executes the search displayed in C against the current index and displays the search results in D. In this example, a search on the Description field for salesman and reeves resulted in one matching document, with Lucene ID 108. Double-clicking any matching document will take you back to the Documents tab, with the appropriate information concerning that document being displayed, such as the document number and a vertical listing of the document s fields. Also at F is the Explain button. Clicking this button brings up the Explain window, shown in figure 2.9. This window shows how the score of a document was calculated against a particular query and what factors were considered. This may not mean much to you now, but when you get into the middle of chapter 12 and we show you exactly what this provides, you ll appreciate it much more. This is especially true if you re one of those who want to modify the way documents are scored. The next-to-last tab of Luke is the Files tab, shown in figure 2.10. From an administration point of view, this presents a lot of information. First, the Total Index Size value could be important for disk space considerations. Below that is a listing of all the
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