Download Apache Solr 3.1 Cookbook by Rafal Kuc PDF

By Rafal Kuc

Over a hundred recipes to find new how one can paintings with Apache's company seek Server
• enhance the best way you're employed with Apache Solr to make your seek engine swifter and extra effective
• care for functionality, setup, and configuration difficulties in no time
• realize little-known Solr functionalities and create your individual modules to customise Solr to your company's needs
• a part of Packt's Cookbook sequence; every one bankruptcy covers a distinct element of operating with Solr

In Detail

Apache Solr is a quick, scalable, sleek, open resource, and easy-to-use seek engine. It permits you to enhance a certified seek engine on your ecommerce website, net program, or again place of work software program. developing Solr is simple, yet configuring it to get the main from your website is the tricky bit.

The Solr 3.1 Cookbook will make your daily paintings more straightforward by utilizing real-life examples that make it easier to take care of the most typical difficulties which can come up whereas utilizing the Apache Solr seek engine. Why waste some time looking the net for ideas for those who may have all of the solutions in a single position?

This cookbook will enable you get the main from your seek engine. every one bankruptcy covers a unique point of operating with Solr from reading your textual content information via querying, functionality development, and constructing your individual modules. the sensible recipes might help you to quick resolve universal issues of facts research, enable you to use faceting to assemble facts and to hurry up the functionality of Solr. you are going to know about functionalities that almost all beginners are blind to, equivalent to sorting effects by means of a functionality price, highlighting matched phrases, and computing facts to make your paintings with Solr effortless and rigidity unfastened .

This sensible consultant exhibits you the way to get the main out of Apache Solr 3.1 with recipes that assist you enhance your seek engine's functionality, study facts quick and successfully, and customise the hunt server along with your personal modules.

What you are going to research from this book
• Index information in numerous codecs and forms
• Use the Solr management panel to find the main in general looked for information
• use varied info grouping techniques
• increase your Solr deployment performance
• Create and use your personal Apache Solr modules
• Configure your cache to cater for adjustments on your data
• Import info utilizing the information Import Handler and delta query
• question Solr to look for words, kind effects through various fields, and seek geographical points
• Create new purposes that use Solr
• decrease the dimensions of your index for speedier searching

Approach

This e-book is a part of Packt's Cookbook sequence; every one bankruptcy seems to be at a distinct element of operating with Apache Solr. The recipes care for universal difficulties of operating with Solr through the use of easy-to-understand, real-life examples. The ebook isn't really whatsoever an entire Apache Solr reference and also you should still see it as a aiding hand whilst issues get tough in your trip with Apache Solr.

Who this publication is written for

Developers who're operating with Apache Solr and wish to understand how to strive against universal difficulties will locate this ebook of significant use. wisdom of Apache Lucene will be an advantage yet isn't really required.

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Extra info for Apache Solr 3.1 Cookbook

Sample text

As you may guess, the field definition is similar to the document and add definition. It starts with a field name surrounded by quotation marks. Following that is a : character and a value, or another pair of curly brackets or a pair of square brackets. If you plan to add just a value, you don't need to include any of the brackets. If you want to include a list of values, you should use square brackets (values are separated from each other by semicolons). The Linux curl command I've used is pretty simple—it just packs the data in the binary form, sets the appropriate header, and sends the data to Solr.

It is very probable that you only want to show your user the top N results. It's time when you can use the early termination techniques to terminate long queries after a set amount of time. But using early termination techniques is a bit tricky. There a few things that need to be addressed before you can use early termination techniques. One of those things is getting the most relevant results. The tool for sorting the Lucene index was only available in Apache Nutch, but that is history now because the Lucene version of this tool was committed to the SVN repository.

Therefore, you'll be able to use the early termination techniques and get the most relevant data sorted on the basis of different fields. See also To see how to use the early termination technique with Solr, refer to Chapter 7, the recipe How to get the first top documents fast when having millions of them. How to set up Extracting Request Handler Sometimes indexing prepared text files (XML, CSV, JSON, and so on) is not enough. There are numerous situations where you need to extract data from binary files.

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