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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

Ingest APIs

Basic ingest CRUD APIs allow you to manage the entire life cycle process, from creation, update, retrieval deletion, and execution of the ingest pipeline. A pipeline is formed by a list of supported processors that are executed sequentially. Let's describe each CRUD API as follows:

  • Create/update the ingest pipeline: To define a pipeline, you need to specify a list of processors (which will be executed in order) and a description to tell us what functions will be performed. The PUT request is used to create the pipeline with an identifier. If the pipeline was created previously, it will be an update request and will overwrite the original contents. Let's take an example of creating a pipeline with the range_ratio identifier by using a script processor. The range ratio is to compute the difference between the high and low price, and then set the ratio between...
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