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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

Summary

Please put your hands together! Elasticsearch SQL is easy, right? You should now know what Elasticsearch SQL is. In addition, you are now familiar with the semantics of Elasticsearch SQL. We performed a few SQL commands by using the elasticsearch-sql-cli script. We demonstrated how to use the Kibana DevTools console to perform SQL REST API with different SQL statements and, finally, we provided some programming instructions to set up the Elasticsearch SQL JDBC driver and used the JDBC connection to perform the request and handle the result.

In the next chapter, we will learn about Elasticsearch plugin management to enhance its core functionality. We will focus on the analysis plugins. We will use the ICU Analysis plugin and the Smart Chinese Analysis plugin as examples of enhancing the text analyzer for mixed Chinese-English texts.

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