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Solr Cookbook - Third Edition

You're reading from   Solr Cookbook - Third Edition Solve real-time problems related to Apache Solr 4.x and 5.0 effectively with the help of over 100 easy-to-follow recipes

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783553150
Length 356 pages
Edition 3rd Edition
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Author (1):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
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Table of Contents (12) Chapters Close

Preface 1. Apache Solr Configuration FREE CHAPTER 2. Indexing Your Data 3. Analyzing Your Text Data 4. Querying Solr 5. Faceting 6. Improving Solr Performance 7. In the Cloud 8. Using Additional Functionalities 9. Dealing with Problems 10. Real-life Situations Index

Introduction

Indexing data is one of the most crucial things in Lucene and Solr deployment. When your data is not indexed properly, your search results will be poor. When the search results are poor, it's almost certain the users will not be satisfied with the application that uses Solr. This is why we need our data to be prepared and indexed as timely and correctly as possible.

On the other hand, preparing data is not an easy task. Nowadays, we have more and more data floating around. We need to index multiple formats of data from multiple sources. Do we need to parse the data manually and prepare the data in XML format? The answer is no; we can let Solr do this for us. This chapter will concentrate on the indexing process and data preparation, starting with how to index data that is a binary PDF file to how to use Data Import Handler to fetch data from database and index it with Apache Solr and describing how we can detect the document language during indexation. We will also learn...

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