Book Image

ElasticSearch Server

Book Image

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.
Table of Contents (17 chapters)
ElasticSearch Server
Credits
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Index

Using parent-child relationships


In the previous section, we discussed the ability to index nested documents along with a parent one. However, even though the nested documents are indexed as separate documents in the index, we can't change a single nested document (unless we use the update API). However, ElasticSearch allows us to have a real parent-child relationship and we will look at it in the following sections.

Mappings and indexing

Let's use our previous example with the clothing store. However, what we would like to have is the ability to update sizes and colors without the need of indexing the whole document after each change. In order to do that, we will use the parent-child functionality of ElasticSearch.

Creating parent mappings

So now, the only field we need to have in our parent document is the name. We don't need anything more than that. So in order to create our mapping in the shop index, we would run the following command:

curl -XPUT 'localhost:9200/shop/cloth/_mapping' -d '...