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 clustering


So far, we have seen Solr searching by the keyword used in search query. Result clustering is the advanced search component of Solr; it first identifies the similarities between documents, and using these similarities, it finds related documents. It is also not necessary for the identified similarities to be present in the query or document.

The clustering component first discovers the results of a search query and identifies similar terms or phrases found within the search results. A clustering algorithm discovers relationships across all the documents from the search result and forms in a meaningful cluster label. Solr comes with several algorithms for clustering implementation.

Result clustering parameters

Parameter

Behavior

Default value

clustering

Enable/disable clustering.

true

clustering.engine

Specifies which clustering engine to use. If not specified, the first declared engine will become the default one.

first in a list

clustering.results

When true, the component will run...