Whether you're experienced in search servers or a newcomer, this book empowers you to get to grips with the speed and flexibility of ElasticSearch. A reader-friendly approach, including lots of hands-on examples, makes learning a pleasure.
Overview
- Learn the basics of ElasticSearch like data indexing, analysis, and dynamic mapping
- Query and filter ElasticSearch for more accurate and precise search results.
- Learn how to monitor and manage ElasticSearch clusters and troubleshoot any problems that arise.
In Detail
ElasticSearch is an open source search server built on Apache Lucene. It was built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy.
Jumping into the world of ElasticSearch by setting up your own custom cluster, this book will show you how to create a fast, scalable, and flexible search solution. By learning the ins-and-outs of data indexing and analysis, "ElasticSearch Server" will start you on your journey to mastering the powerful capabilities of ElasticSearch. With practical chapters covering how to search data, extend your search, and go deep into cluster administration and search analysis, this book is perfect for those new and experienced with search servers.
In "ElasticSearch Server" you will learn how to revolutionize your website or application with faster, more accurate, and flexible search functionality. Starting with chapters on setting up your own ElasticSearch cluster and searching and extending your search parameters you will quickly be able to create a fast, scalable, and completely custom search solution.
Building on your knowledge further you will learn about ElasticSearch's query API and become confident using powerful filtering and faceting capabilities. You will develop practical knowledge on how to make use of ElasticSearch's near real-time capabilities and support for multi-tenancy.
Your journey then concludes with chapters that help you monitor and tune your ElasticSearch cluster as well as advanced topics such as shard allocation, gateway configuration, and the discovery module.
What you will learn from this book
- Configuration and creation of an ElasticSearch Index.
- Using ElasticSearch query DSL to make all kinds of queries.
- Efficient and precise use of filters without loss of performance.
- Implementing the autocomplete functionality
- Highlight data and geographical search information for better results.
- Understand how ElasticSearch returns results and how to validate those results.
- Faceting and "more like this" functionalities to get more from your search and improve your client's search experience.
- Monitor your cluster state and health by using ElasticSearch API as well as third party monitoring solutions.
Approach
This book is written in friendly, practical style with numerous hands-on examples and tutorials throughout.
Who this book is written for
This book is written for developers who wish to leverage ElasticSearch to create a fast and flexible search solution. If you are looking to learn ElasticSearch or become more proficient then this book is for you. You do not need know anything about ElasticSeach, Java, or Apache Lucene in order to use this book, though basic knowledge about databases and queries is required.
Rafal Kuc
Rafal Kuc is a born team leader and software developer. Currently working as a Consultant and a Software Engineer at Sematext Inc, where he concentrates on open source technologies such as Apache Lucene and Solr, ElasticSearch, and Hadoop stack. He has more than 10 years of experience in various software branches, from banking software to e-commerce products. He is mainly focused on Java, but open to every tool and programming language that will make the achievement of his goal easier and faster. Rafal is also one of the founders of the solr.pl site, where he tries to share his knowledge and help people with their problems with Solr and Lucene. He is also a speaker for various conferences around the world such as Lucene Eurocon, Berlin Buzzwords, and ApacheCon.
Rafal began his journey with Lucene in 2002 and it wasn't love at first sight. When he came back to Lucene later in 2003, he revised his thoughts about the framework and saw the potential in search technologies. Then Solr came and that was it. From then on, Rafal has concentrated on search technologies and data analysis. Right now Lucene, Solr, and ElasticSearch are his main points of interest.
Rafal is also the author of Apache Solr 3.1 Cookbook and the update to it - Apache Solr 4 Cookbook - published by Packt Publishing.
