Book Image

Mastering Apache Solr 7.x

By : Sandeep Nair, Chintan Mehta, Dharmesh Vasoya
Book Image

Mastering Apache Solr 7.x

By: Sandeep Nair, Chintan Mehta, Dharmesh Vasoya

Overview of this book

Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites. To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs. By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands.
Table of Contents (14 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

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...