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Disk indexes support online full-text index rebuilds, but online updates can only be done on non-text (attribute) data.RT indexes additionally allow for online full-text index updates. Data can be loaded into disk indexes using a so-called data source.

Installing Sphinx on a Windows server is often easier than installing on a Linux environment; unless you are preparing code patches, you can use the pre-compiled binary files from the Downloads area on the website.

None of the different querying methods are deprecated, but as of version 2.2.1-beta, Sphinx QL is the most advanced method.

We plan to remove Sphinx API and Sphinx SE someday so it would be a good idea to start using Sphinx QL.

In 2.2.1-beta a tsvpipe (Tab Separated Values) and csvpipe (Comma Separated Values) data source was added.

You can get more information here Section 3.10, “tsvpipe\csvpipe (Tab\Comma Separated Values) data source”.

There is also a generic driver called xmlpipe2, which runs a specified command and reads the data from its .

See Section 3.9, “xmlpipe2 data source” section for the format description.

The data to be indexed can generally come from very different sources: SQL databases, plain text files, HTML files, mailboxes, and so on.

From Sphinx point of view, the data it indexes is a set of structured .

Sphinx can be compiled either from source or installed using prebuilt packages.

Most modern UNIX systems with a C compiler should be able to compile and run Sphinx without any modifications.

Third party API ports and plugins exist for Perl, C#, Haskell, Ruby-on-Rails, and possibly other languages and frameworks.

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