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Apache Solr for Indexing Data

Apache Solr for Indexing Data

By : Handiekar, Johri
1 (1)
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Apache Solr for Indexing Data

Apache Solr for Indexing Data

1 (1)
By: Handiekar, Johri

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 (13 chapters)
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12
Index

Indexing documents using XML


In Solr, we can index XML messages to the update handler using the content-type tag: for example application/xml or text/xml. In the following subsections, we'll see how we can perform add, update, or delete commands.

Adding and updating documents

Solr provides an easy-to-use XML schema; this schema can be used to index data in Solr. The XML schema mainly contains the following elements:

  • <add>: This element is the parent element, and it tells Solr that we're adding a document for indexing

  • <doc>: This element contains all the fields that are going to be indexed

  • <field>: This element contains the content, name, and value of the field that is going to be indexed

For example, the sample XML document looks like the following code:

<add>
  <doc>
    <field name="songId">100000010</field>
    <field name="songName">(Oh No) What You Got</field>
    <field name="artistName">Justin Timberlake</field>
    &lt...

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