Nobody pretends indexing data with Apache Solr is a walk in the park, but this book eases the path with plain language explanations and involving projects. Perfect for developers with sophisticated indexing ambitions.
Learn something new in an Instant! A short, fast, focused guide delivering immediate results
Take the most basic schema and extend it to support multi-lingual, multi-field searches
Make Solr pull data from a variety of existing sources
Discover different pathways to acquire and normalize data and content
Content and data searching is a very important part of the modern user experience, and before something can be searched, it has to be indexed. Indexing is a hidden part of the process that has a surprisingly strong impact on the overall user experience. From speed, to faceting, to multilingual support, everything depends on correct indexing.
Instant Apache Solr for Indexing Data How-to is an example-driven guide that will take you on a journey from the basic collection of data to a multi-lingual, multi-field, multi-type schema. By the end of the book, you will know how to get your data ready for searches and how to tune the process to achieve the required search use-cases.
Instant Apache Solr for Indexing Data How-to is a friendly, practical guide that will show you how to index your data with Solr. This book will explain how Solr’s basic blocks actually work and fit together. You will then explore additional settings, pipelines, and configuration changes to achieve ever more complex goals. You will then cover how to push data into Solr and when to get Solr to pull the data. You will then master indexing textual and binary context before enabling multilingual content to be searched.