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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

Summary


In this chapter, we saw how we can use SolrCloud to easily create a cluster of Solr servers, which can be used to scale our Solr instances. We also saw how we can easily use the Collections API provided by Solr to manage shards or replicas.

In the next chapter, we'll cover a case study of how Solr is used in e-commerce websites to enhance the user experience while searching for products or a catalogue.

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