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Mastering Apache Solr 7.x

Mastering Apache Solr 7.x

By : Nair, Mehta, Dharmesh Vasoya
3.8 (5)
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Mastering Apache Solr 7.x

Mastering Apache Solr 7.x

3.8 (5)
By: Nair, 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 (10 chapters)
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Understanding text analysis


Nowadays, the search engine plays an important role in any search application. End users always expect accurate, efficient, and fast results from searches. The job of a search engine is to fulfill the search requirement in an easy and faster way. To achieve the expected level of search accuracy, Solr executes multiple processes sequentially behind the scenes: it examines the input string, normalizes the text, generates the token stream, builds indexes, and so on. The set of all of these processes is called text analysis. Let's explore text analysis in detail.

What is text analysis?

Text analysis is a Solr mechanism that takes place in two phases:

  • During index time, optimize the input terms, feeding the information, generates the token stream and builds the indexes
  • During query time, optimize the query terms, generates the token stream, matches with the term generated at index time, and provides results

Let’s dive deeper and understand:

  • How exactly Solr works to build...

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