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

Apache Tika and indexing


We have seen how to index data from a standard file format such as JSON or XML. But what about proprietary file formats such as Word and PDF? Luckily, Solr comes to the rescue with the use of the Apache Tika project. The Tika framework provides a way to incorporate various file formats such as Word and PDF. 

Internally, Tika uses the Apache PDFBox parser to parse PDF and Apache POI for the Word format. Solr provides ExtractingRequestHandler, which makes use of Tika to upload binary files and to index as well as extract data.

This framework in Solr is known as Solr Cell, which is an abbreviation of Solr content extraction library, the name when this framework was under development.

Solr Cell basics

As we have earlier seen that, the Solr Cell framework leverages the Tika framework. Let's look at some basic concepts about this.

Please specify the MIME type for Tika explicitly to specify the document type. This has to be done with the stream.type parameter or else Tika will...