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Advanced Elasticsearch 7.0

You're reading from   Advanced Elasticsearch 7.0 A practical guide to designing, indexing, and querying advanced distributed search engines

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789957754
Length 560 pages
Edition 1st Edition
Languages
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Author (1):
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Wai Tak Wong Wai Tak Wong
Author Profile Icon Wai Tak Wong
Wai Tak Wong
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Table of Contents (25) Chapters Close

Preface 1. Section 1: Fundamentals and Core APIs FREE CHAPTER
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

Elasticsearch from Python Programming

In the last chapter, we introduced Java programming with Elasticsearch. A sample Spring Boot project is provided to demonstrate the programming technique for both the high-level and low-level REST clients. We also used Swagger UI to create an interface to test the REST API. To make a long story short, since the transport client will not be supported anytime soon, the REST client is the method you need to go with when you program with the Java language. In this chapter, we are going to introduce the Python Elasticsearch client. You will learn about two Elasticsearch client packages, elasticsearch-py and elasticsearch-dsl-py. The elasticsearch-py package is the official low-level client for Elasticsearch. The goal of the Python package is to provide common ground for all Elasticsearch-related code in Python. Elasticsearch DSL is a high-level...

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