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Advanced Elasticsearch 7.0

You're reading from  Advanced Elasticsearch 7.0

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781789957754
Pages 560 pages
Edition 1st Edition
Languages
Author (1):
Wai Tak Wong Wai Tak Wong
Profile icon Wai Tak Wong

Table of Contents (25) Chapters

Preface Section 1: Fundamentals and Core APIs
Overview of Elasticsearch 7 Index APIs Document APIs Mapping APIs Anatomy of an Analyzer Search APIs Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
Modeling Your Data in the Real World Aggregation Frameworks Preprocessing Documents in Ingest Pipelines Using Elasticsearch for Exploratory Data Analysis Section 3: Programming with the Elasticsearch Client
Elasticsearch from Java Programming Elasticsearch from Python Programming Section 4: Elastic Stack
Using Kibana, Logstash, and Beats Working with Elasticsearch SQL Working with Elasticsearch Analysis Plugins Section 5: Advanced Features
Machine Learning with Elasticsearch Spark and Elasticsearch for Real-Time Analytics Building Analytics RESTful Services Other Books You May Enjoy

The Elasticsearch document life cycle

The Elasticsearch document life cycle can be defined as a series of phases in forms and functional activities, through indexing operations until deletion. Let's first start with the major components of a document and then go through the cycle.

What is a document?

Documents in Elasticsearch are represented in JSON format. JSON objects are written in key/value pairs. A key must be a string and must always be enclosed in quotation marks. The value must be a valid JSON datatype. Keys and values are separated by colons and with the key/value pair separated by commas. A document will be associated with metadata elements during indexing operations including the given index name, the mapping...

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