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

Result grouping


Result grouping is a useful feature in Solr; it returns an optimal mix of search results for a query. Result grouping can be performed based on field values, functions, or queries.

Sometimes, we have multiple similar documents for a single search term, for example, multiple locations for the same hospital, recipes for specific food, plans for term insurance, and so on. In the normal way, if we are searching for one such term, it will return all similar documents and we will have to display all of them on the same page. Through result grouping, we can display only a single document (or the top few or some limited number) for each unique value, and provide a message link with meaningful text and the number of total results found for that query. Clicking on that link will expand the full search result list. This is similar to the expand and collapse features of a search application. Result grouping is just as capable as expand and collapse; additionally it removes duplicate documents...