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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 1. Section 1: Fundamentals and Core APIs
2. Overview of Elasticsearch 7 3. Index APIs 4. Document APIs 5. Mapping APIs 6. Anatomy of an Analyzer 7. Search APIs 8. Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
9. Modeling Your Data in the Real World 10. Aggregation Frameworks 11. Preprocessing Documents in Ingest Pipelines 12. Using Elasticsearch for Exploratory Data Analysis 13. Section 3: Programming with the Elasticsearch Client
14. Elasticsearch from Java Programming 15. Elasticsearch from Python Programming 16. Section 4: Elastic Stack
17. Using Kibana, Logstash, and Beats 18. Working with Elasticsearch SQL 19. Working with Elasticsearch Analysis Plugins 20. Section 5: Advanced Features
21. Machine Learning with Elasticsearch 22. Spark and Elasticsearch for Real-Time Analytics 23. Building Analytics RESTful Services 24. Other Books You May Enjoy

Index management APIs

Index management operations allow you to manage the entire life cycle process via its settings, mappings, creation, opening, closing, deletion, and updating indices in an Elasticsearch cluster. Let's explore the basic CRUD APIs for working with indices first.

Basic CRUD APIs

Some of the basic APIs for working with indices are as follows:

  • Index creation: The name of the index must follow these requirements:
    • Lowercase only
    • Cannot include \, /, *, ?, ", <, >, |, spaces, commas, or #
    • The colon (:) character can't be used
    • Cannot start with -, _, or +
    • Cannot be . or ..
    • The maximum bytes for the index name is 255

Let's practice index creation by using a PUT request with a valid...

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