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

Pagination


A query may fetch a number of results for a search. Returning all results at a time and displaying all of them on a single page is not an ideal approach for any search application. Rather, returning the top N number of matching results (sorted based on some fields) first is the ideal way for an application. Solr supports a pagination feature whereby we can return a certain number of results rather than all results and display them on the first page. If we can't find the results we are looking for on the first page, we can call the next page of results by running the subsequent request with pagination parameters. Pagination is very helpful in terms of performance because instead of returning all matching results at a time, it will return only a specific number of results; so the result is very quick. Using pagination, we also can determine how many queries are required to fulfill the expectations behind the search; so we can manage relevance accordingly.

How to implement pagination...