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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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Toc

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

Overview of Elasticsearch Java REST client

You will recall that in the Talking to Elasticsearch section in Chapter 1, Overview of Elasticsearch 7, we discussed that Elasticsearch officially supports two protocols only. They are HTTP (the RESTful API) and native. When using the Java language, the transport client was the preferred method of the native protocol. However, transport clients such as the Java API are deprecated in Elasticsearch 7.0, and completely removed in 8.0. In short, we should use the Java high-level REST client. According to the Elasticsearch client in the Maven repository (available at https://search.maven.org/search?q=g:org.elasticsearch.client), we can sketch the hierarchy of the group ID and artifact ID, as shown in the following diagram:

Because the length of the chapter is limited, we are only focusing on two artifacts, elasticsearch-rest-high-level-client...

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