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  • Book Overview & Buying Scaling Big Data with Hadoop and Solr, Second Edition
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Scaling Big Data with Hadoop and Solr, Second Edition

Scaling Big Data with Hadoop and Solr, Second Edition

By : Vijay Karambelkar
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Scaling Big Data with Hadoop and Solr, Second Edition

Scaling Big Data with Hadoop and Solr, Second Edition

3 (4)
By: Vijay Karambelkar
Buy this Book

Overview of this book

This book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. No prior knowledge of Apache Hadoop and Apache Solr/Lucene technologies is required.
Table of Contents (8 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Processing Big Data Using Hadoop and MapReduce
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1. Processing Big Data Using Hadoop and MapReduce
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Apache Hadoop's ecosystem
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Configuring Apache Hadoop
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Running Hadoop
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Setting up a Hadoop cluster
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Common problems and their solutions
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Summary
2
2. Understanding Apache Solr
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2. Understanding Apache Solr
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Setting up Apache Solr
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The Apache Solr architecture
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Configuring Solr
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Loading data in Apache Solr
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Querying for information in Solr
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Summary
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3. Enabling Distributed Search using Apache Solr
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3. Enabling Distributed Search using Apache Solr
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Understanding a distributed search
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Working with SolrCloud
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Sharding algorithm and fault tolerance
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Apache Solr and Big Data – integration with MongoDB
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Summary
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4. Big Data Search Using Hadoop and Its Ecosystem
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4. Big Data Search Using Hadoop and Its Ecosystem
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Understanding NoSQL
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Working with the Solr HDFS connector
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Big data search using Katta
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Using Solr 1045 Patch – map-side indexing
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Using Solr 1301 Patch – reduce-side indexing
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Distributed search using Apache Blur
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Apache Solr and Cassandra
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Scaling Solr through Storm
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Advanced analytics with Solr
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Summary
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5. Scaling Search Performance
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5. Scaling Search Performance
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Understanding the limits
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Optimizing search schema
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Index optimization
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Optimizing search runtime
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Monitoring Solr instance
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Summary
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A. Use Cases for Big Data Search
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A. Use Cases for Big Data Search
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E-Commerce websites
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Log management for banking
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Index
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Index

Setting up Apache Solr

We will be going through the Apache Solr architecture in the next section; for now, let's install Apache Solr on our machines. Apache Solr is a Java Servlet web application that runs on Apache Lucene, Tika, and other open source libraries. Apache Solr ships with a demo server on jetty, so one can simply run it through the command line. This helps users to run the Solr instance quickly. However, you can choose to customize it and deploy it in your own environment. Apache Solr does not ship with any installer; it has to be run as a part of J2EE Application.

Prerequisites for setting up Apache Solr

Apache Solr requires Java 1.6 or more to run, so it is important to make sure you have the correct version of Java by calling java –version, as shown in the following screenshot:

Note

With the latest version of Apache Solr (4.0 or more), JDK 1.5 is not supported anymore. Apache Solr 4.0+ runs on JDK 1.6 + version. Instead of going for the pre-shipped JDK with your default operating...

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