ElasticSearch Quick Start: An introduction to ElasticSearch in tutorial form.

The goal of this book 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 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

=== Table of contents: ===
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