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Elasticsearch 7.0 Cookbook

You're reading from   Elasticsearch 7.0 Cookbook Over 100 recipes for fast, scalable, and reliable search for your enterprise

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789956504
Length 724 pages
Edition 4th Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (19) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Managing Mapping 3. Basic Operations 4. Exploring Search Capabilities 5. Text and Numeric Queries 6. Relationship and Geo Queries 7. Aggregations 8. Scripting in Elasticsearch 9. Managing Clusters 10. Backups and Restoring Data 11. User Interfaces 12. Using the Ingest Module 13. Java Integration 14. Scala Integration 15. Python Integration 16. Plugin Development 17. Big Data Integration 18. Another Book You May Enjoy

Reading data using Spark SQL

Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrames and can also act as a distributed SQL query engine. Elasticsearch Spark integration allows us to read data using SQL queries.

Spark SQL works with structured data; in other words, all entries are expected to have the same structure (the same number of fields, of the same type and name). Using unstructured data (documents with different structures) is not supported and will cause problems.

Getting ready

You need an up and running Elasticsearch installation, as we described in the Downloading and installing Elasticsearch recipe in Chapter 1Getting Started.

You...

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