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

Understanding multilingual analysis


So far, we have concentrated on Solr text analysis (analyzers, tokenizers, and filters) irrespective of any language. Solr support multiple language search and this feature puts Solr at the top of the list of search engines. Let's understand how Solr works for multiple language search.

So far all the examples we have covered are in English. The tokenization and filtering rules for English are very simple and straightforward, such as splitting at white spaces or any other delimiters, stemming, and so on. But once we start focusing on other languages, these rules may differ. Solr is already prepared to meet multiple analysis search requirements such as stemmers, synonyms filters, stop word filters, character query correction capabilities normalization, language identifiers, and so on. Some languages require their own tokenizers for complexity of parsing the language, some require their own stemming filters, and some require multiple filters as per the language...