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

Summary


In this chapter, we learned the concept of relevance and its terms: Precision and Recall. Then we looked at the velocity search UI. We saw the common parameters for various query parsers and explored each query parser (standard, DisMax, and eDisMax) in detail. After that, we looked at various response writers in detail: JSON, standard XML, CSV, and velocity response writer.  We also explored Solr term modifiers, wildcard parameters, fuzzy search, proximity search, and range search.

We looked at all Boolean operators. Then we learned about various faceting parameters and faceting types such as range, pivot, and interval faceting. At the end, we saw Solr highlighting mechanisms, parameters, highlighters, and boundary scanners.

In the next chapter, or rather the second part of this chapter, we will learn more search functionalities such as spell checking, suggester, pagination, result grouping and clustering, and spatial search.