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Mastering Apache Solr 7.x

You're reading from   Mastering Apache Solr 7.x An expert guide to advancing, optimizing, and scaling your enterprise search

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788837385
Length 308 pages
Edition 1st Edition
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Authors (3):
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Dharmesh Vasoya Dharmesh Vasoya
Author Profile Icon Dharmesh Vasoya
Dharmesh Vasoya
Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Sandeep Nair Sandeep Nair
Author Profile Icon Sandeep Nair
Sandeep Nair
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Table of Contents (10) Chapters Close

Preface 1. Introduction to Solr 7 2. Getting Started FREE CHAPTER 3. Designing Schemas 4. Mastering Text Analysis Methodologies 5. Data Indexing and Operations 6. Advanced Queries – Part I 7. Advanced Queries – Part II 8. Managing and Fine-Tuning Solr 9. Client APIs – An Overview

SolrCloud overview


One of the must have when going to production is clustering for fault tolerance and high availability. Solr's answer to this is SolrCloud, which provides ways to have distributed indexing and search capabilities with central configuration for the entire cluster, and load balancing with failover support.

As mentioned earlier, Solr provides distributed searching. Behind the scenes, Solr makes use of ZooKeeper to manage nodes. 

In SolrCloud, data is distributed in multiple shards, which can be hosted on multiple boxes having replicas; this provides redundancy, fault tolerance, and scalability. ZooKeeper holds the strings to manage the shards and replication and to decide which server will handle a specific request.

SolrCloud in interactive mode

Let's set up SolrCloud. Go to the SOLR_HOME/bin directory and start the server in interactive mode using the following command: 

solr -e cloud

As you can see, an interactive session starts up, asking you how many nodes the cluster should...

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