Book Image

Apache Solr for Indexing Data

Book Image

Apache Solr for Indexing Data

Overview of this book

Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features. This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. You’ll quickly move on to indexing text and boosting the indexing time. Next, you’ll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler. Moving on, you will learn techniques to perform real-time indexing and atomic updates, as well as more advanced indexing techniques such as de-duplication. Later on, we’ll help you set up a cluster of Solr servers that combine fault tolerance and high availability. You will also gain insights into working scenarios of different aspects of Solr and how to use Solr with e-commerce data. By the end of the book, you will be competent and confident working with indexing and will have a good knowledge base to efficiently program elements.
Table of Contents (18 chapters)
Apache Solr for Indexing Data
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Configuring Apache Tika in Solr


Let's go ahead and create a new core called tika-example in our Solr instance. To make things easier, you can copy the core from the Chapter 6 folder of the ZIP file that comes with this book. After creating the core, we'll need to configure solrconfig.xml.

We need to add the extraction libraries that are available in the %SOLR_HOME/contrib/extraction/lib folder, and also the solr-cell library in solrconfig.xml:

<lib dir="${solr.install.dir:../../..}/contrib/extraction/lib" regex=".*\.jar"/>
<lib dir="${solr.install.dir:../../..}/dist/" regex="solr-cell-\d.*\.jar"/>

We can then configure ExtractingRequestHandler in solrconfig.xml:

<requestHandler name="/update/extract" class="solr.extraction.ExtractingRequestHandler">
  <lst name="defaults">
    <str name="fmap.content">content</str>
    <str name="lowernames">true</str>
    <str name="uprefix">attr_</str>
    <str name="captureAttr">false</str...