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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

API conventions

We will only discuss some of the major conventions. For others, please refer to the Elasticsearch reference (https://www.elastic.co/guide/en/elasticsearch/reference/master/api-conventions.html). The following list can be applied throughout the REST API:

  • Access across multiple indices: This convention cannot be used in single document APIs:
    • _all: For all indices
    • comma: A separator between two indices
    • wildcard (*,-): The asterisk character, *, is used to match any sequence of characters in the index name, excluding the index afterwards
  • Common options:
    • Boolean values: false means the mentioned value is false; true means the value is true.
    • Number values: A number is as a string on top of the native JSON number type.
    • Time unit for duration: The supported time units are d for days, h for hours, m for minutes, s for seconds, ms for milliseconds, micros for microseconds...
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