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Apache Solr for Indexing Data

You're reading from  Apache Solr for Indexing Data

Product type Book
Published in Dec 2015
Publisher
ISBN-13 9781783553235
Pages 160 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (18) Chapters

Apache Solr for Indexing Data
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started 2. Understanding Analyzers, Tokenizers, and Filters 3. Indexing Data 4. Indexing Data – The Basic Technique and Using Index Handlers 5. Indexing Data with the Help of Structured Datasources – Using DIH 6. Indexing Data Using Apache Tika 7. Apache Nutch 8. Commits, Real-Time Index Optimizations, and Atomic Updates 9. Advanced Topics – Multilanguage, Deduplication, and Others 10. Distributed Indexing 11. Case Study of Using Solr in E-Commerce Index

Introducing Apache Nutch

Apache Nutch is an open source web crawler that can be used to retrieve data from websites and get data from it. It is an extensible and scalable crawler that gives us the freedom to use it as we like by using plugins. Apache Nutch is written in Java, just like Apache Solr, and both tools make a perfect combination for creating a search engine of our own if they are combined.

Apache Nutch can be used on a single node or can be run in a distributed way with multiple nodes. Let's see how we can combine Apache Solr and Apache Nutch to crawl a web page and index it. To do this, let's start by installing Apache Nutch.

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