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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

Search APIs

So far, what we have learned from the preceding four chapters is preparing us for searching. We prepared the index settings, the mappings, the analyzers, and then we indexed the documents. One of the ultimate goals is to execute the query and get high-quality results from the index. The Search API allows you to perform a search query and return the search hits that match the query. There are two basic ways to run a search: one is to send the search request with URL parameters, and the other is to use a request body. This chapter also provides additional information about searching related APIs, such as tuning, validating, and troubleshooting. By the end of this chapter, you will have covered the following topics:

  • The URI search
  • The Request body search
  • The Query domain-specific language (DSL)
  • The Multi-search API
  • The Explain API
  • The Validate API
  • The Count API
  • The Field...
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