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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

Working with the IK Analysis plugin

The IK Analysis plugin belongs to the community contributed plugin category. It is an open source project (https://github.com/medcl/elasticsearch-analysis-ik) that provides a lightweight Chinese word segmentation toolkit based on the Java language. It integrates the Lucene IK Analyzer into Elasticsearch and supports a customized dictionary. It works with English and Chinese and is also compatible with Korean and Japanese characters. It supports hot swapping to update dictionary contents without the need to restart the Elasticsearch server. This plugin provides two types of analysis: fine-grained and coarse-grained. Fine-grained analysis includes the ik_max_word analyzer and the ik_max_word tokenizer. They will generate more tokens and they are suitable for the term query. Coarse-grained analysis includes the ik_smart analyzer and the ik_smart...

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