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(This smart design is copied from Lucene.) So, having a few segments is more efficient than rewriting the entire index every time you add some documents.

But searching multiple segments does slow down searching somewhat, and the more segments you have, the slower it gets.

This article is part of our Academy Course titled Apache Lucene Fundamentals.

In this course, you will get an introduction to Lucene.

In this tutorial you'll learn how to set up Cscope with a large project. Note: Make sure you've got enough disk space: the kernel tarball alone is 30 MB, it expands into 150 MB of source code, and the Cscope database we'll generate will gobble up another 20-100 MB (depending on how much of the kernel code you decide to include in the database).

We'll use as our example the Linux kernel source code, but the basic steps are the same for any other large project, including C or Java projects. You can put the Cscope database on a different disk partition than the source code if you need to. For some projects, you may want to include every C source file in the project's directories in your Cscope database.

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But if there's some code that you wish to exclude, and/or your project contains C or Java source code (by default Cscope only parses files with the , which should contain the name of all files that you wish to have Cscope scan (one file name per line).A few other good references on file structures are Roberts[2], Bertziss[3], Dodd[4], and Climenson[5].Logical or physical organisation and data independence There is one important distinction that must be made at the outset when discussing file structures.You will see why a library like this is important and then learn how searching works in Lucene.Moreover, you will learn how to integrate Lucene Search into your own applications in order to provide robust searching capabilities. The Index is the heart of any component that utilizes Lucene.

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