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@ -45,7 +45,7 @@
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</p>
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<p>
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Voila! You should now have a jar file "indyo-<version number>.jar".
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Voila! You should now have a jar file "indyo-<version number>.jar".
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</p>
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</section>
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@ -62,9 +62,9 @@
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<section name="Step 4: Using Indyo">
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<p>
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Congratulations, you have finally reached the fun the
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part of this tutorial. This is where you'll discover
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the power of Indyo.
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Congratulations, you have finally reached the fun the
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part of this tutorial. This is where you'll discover
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the power of Indyo.
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</p>
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<p>
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@ -76,7 +76,7 @@
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<source><![CDATA[
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IndexDataSource ds = new FSDataSource("/usr/local/lucene/docs");
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IndyoIndexer indexer = new IndyoIndexer("/usr/local/index",
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"/usr/local/indyo/default.config.xml");
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"/usr/local/indyo/default.config.xml");
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indexer.index(ds);
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]]></source>
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@ -92,11 +92,11 @@ indexer.index(ds);
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</p>
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<p>
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Get familiar with FSDataSource. You'll find it very handy, both for indexing
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files directly, as well as nesting it within another datasource. For example,
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you might need to index a database table, in which one of the rows represent
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the location of a file, and you may want to use FSDataSource to index this
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file as well.
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Get familiar with FSDataSource. You'll find it very handy, both for indexing
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files directly, as well as nesting it within another datasource. For example,
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you might need to index a database table, in which one of the rows represent
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the location of a file, and you may want to use FSDataSource to index this
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file as well.
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</p>
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<subsection name="Writing your custom IndexDataSource">
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</p>
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<p>
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A slightly more useful IndexDataSource, SingleDocumentFSDataSource
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provides an example of how to nest datasources. Given a directory,
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SingleDocumentFSDataSource recursively indexes all directories
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and files within that directory <i>as the same Document</i>. In other
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words, only one Document is created in the index. This is accomplished
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by the use of a nested datasource. The code for
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SingleDocumentFSDataSource is listed below:
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A slightly more useful IndexDataSource, SingleDocumentFSDataSource
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provides an example of how to nest datasources. Given a directory,
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SingleDocumentFSDataSource recursively indexes all directories
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and files within that directory <i>as the same Document</i>. In other
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words, only one Document is created in the index. This is accomplished
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by the use of a nested datasource. The code for
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SingleDocumentFSDataSource is listed below:
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</p>
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<source><![CDATA[
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@ -177,12 +177,12 @@ public class SingleDocumentFSDataSource
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]]></source>
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<p>
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Nested datasources don't result in a separate Document being created.
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Use them when working with complex datasources, i.e., datasources
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which are an aggregation of multiple datasources. The current way to
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add a nested datasource is using the key "NESTED_DATASOURCE". Indyo
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accepts an IndexDataSource object, a List of IndexDataSources,
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or an IndexDataSource[] for this key.
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Nested datasources don't result in a separate Document being created.
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Use them when working with complex datasources, i.e., datasources
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which are an aggregation of multiple datasources. The current way to
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add a nested datasource is using the key "NESTED_DATASOURCE". Indyo
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accepts an IndexDataSource object, a List of IndexDataSources,
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or an IndexDataSource[] for this key.
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</p>
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</subsection>
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<section name="Acknowledgements">
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<p>
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This document was shamelessly ripped from the extremely well-written
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and well-organized
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<a href="http://jakarta.apache.org/turbine/torque/tutorial.html">Torque
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</a> tutorial. Thanks Pete!
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This document was shamelessly ripped from the extremely well-written
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and well-organized
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<a href="http://jakarta.apache.org/turbine/torque/tutorial.html">Torque
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</a> tutorial. Thanks Pete!
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</p>
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</section>
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