ElasticSearch Quick Start
ElasticSearch Quick Start
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ElasticSearch Quick Start

This book is 100% complete

Completed on 2015-04-06

About the Book

This book is intentionally short. While there are several books about ElasticSearch that will teach you just about everything this book doesn't try to do that. Instead it's goal is to get you as a developer or user of ElasticSearch started quickly. As such you won't find much theory or anything about configuring ElasticSearch for production use in this book. What you will find though is tutorials focusing on the basics as well as the (in my opinion) most common use cases.

After reading this book my goal is that you should know:

  • How to install ElasticSearch and how to communicate with it
  • How to index and remove documets
  • How to search for documents and aggregate data from them
  • How to create mappings, including dynamic mappings

About the Author

Joel Abrahamsson
Joel Abrahamsson

Joel was one of three founders of Truffler, an ElasticSearch based SaaS-solution that was later aquired by EPiServer. While not an expert in search technologies Joel has built a number of applications and APIs using ElasticSearch and has also written a number of blog posts about ElasticSearch.

http://joelabrahamsson.com

Table of Contents

  • About the book and feedback
  • Getting started
    • Installing ElasticSearch
    • Marvel and Sense
    • Curl syntax
    • Hello world
  • Basic CRUD
    • Indexing
    • Getting by ID
    • Deleting documents
    • JSON objects in documents
  • Searching
    • The _search endpoint
    • The search request body and ElasticSearch’s query DSL
    • Basic free text search
    • Filtering
    • Sorting
    • Pagination
    • Retrieving only parts of documents
  • Mapping
    • Dynamic mapping
    • More on dynamic mapping
    • Stemming
  • Custom analyzers
    • Analyzers
    • An example
  • Aggregations
    • Multiple aggregations in a single request.
    • Bucket and metric aggregations
    • What are aggregations good for?
    • Combining aggregations and filters
    • Post filter
  • Advanced CRUD
    • The update API
    • The bulk API
    • Multi get
    • Delete by query
    • Time to live
  • The nested type mapping
    • Including nested values in parent documents

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