In the previous section, we talked about boosting queries. This type of boosting is very handy and powerful and fulfills its role in most situations. However, there is one case where the more convenient way is to use the index-time boosting. This situation is where important documents are a part of input data. We gain a boost independent from a query at the cost of re-indexing, when the boost value is changed. In addition to that, the performance is slightly better because some parts needed in the boosting process are already calculated at index time. ElasticSearch stores information about the boost as a part of normalization information. This is important because if we set omit_norms to true, we can't use index-time boosting.
ElasticSearch Server
ElasticSearch Server
Overview of this book
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.
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Table of Contents (17 chapters)
ElasticSearch Server
Credits
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started with ElasticSearch Cluster
Searching Your Data
Extending Your Structure and Search
Make Your Search Better
Combining Indexing, Analysis, and Search
Beyond Searching
Administrating Your Cluster
Dealing with Problems
Index
Customer Reviews