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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

Working with the ICU Analysis plugin

The ICU Analysis plugin is a set of libraries that integrates the Lucene ICU module into Elasticsearch. Essentially, the purpose of the ICU is to add the support of Unicode and globalization to provide better text segmentation analysis of Asian languages. From Elasticsearch's point of view, this plugin provides new components in text analysis, as shown in the following table:

Components Description
Character filter ICU Normalizer Character Filter The icu_normalizer character filter converts text into unique, equivalent character sequences. It supports three optional parameters: name, mode, and unicode_set_filter. The name parameters can be nfc, nfkc, and nfkc_cf (the default). The mode parameter can be decompose.
Tokenizer ICU Tokenizer The icu_tokenizer tokenizer splits a piece of text into words on word boundaries. It adds...
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