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Elasticsearch 8.x Cookbook - Fifth Edition

You're reading from Elasticsearch 8.x Cookbook - Fifth Edition

Product type Book

Published in May 2022

Publisher Packt

ISBN-13 9781801079815

Pages 750 pages

Edition 5th Edition

Languages

Concepts

Enterprise Search

Author (1):

Alberto Paro

Table of Contents (20) Chapters

Preface

1. Chapter 1: Getting Started

2. Chapter 2: Managing Mappings

3. Chapter 3: Basic Operations

4. Chapter 4: Exploring Search Capabilities

5. Chapter 5: Text and Numeric Queries

6. Chapter 6: Relationships and Geo Queries

7. Chapter 7: Aggregations

8. Chapter 8: Scripting in Elasticsearch

9. Chapter 9: Managing Clusters

10. Chapter 10: Backups and Restoring Data

11. Chapter 11: User Interfaces

12. Chapter 12: Using the Ingest Module

13. Chapter 13: Java Integration

14. Chapter 14: Scala Integration

15. Chapter 15: Python Integration

16. Chapter 16: Plugin Development

17. Chapter 17: Big Data Integration

18. Chapter 18: X-Pack

19. Other Books You May Enjoy

Installing Apache Spark

To use Apache Spark, we need to install it. The process is very easy because its requirements are not the traditional Hadoop ones that require Apache ZooKeeper and Hadoop Distributed File System (HDFS).

Apache Spark can work in a standalone node installation similar to Elasticsearch.

Getting ready

You need a Java virtual machine installed. Generally, version 8.x or above is used. The maximum Java version supported by Apache Spark is 11.x.

How to do it...

To install Apache Spark, we will perform the following steps:

Download a binary distribution from https://spark.apache.org/downloads.html. For generic usage, I would suggest that you download a standard version using the following request:
```
wget https://dlcdn.apache.org/spark/spark-3.2.1/spark-3.2.1-bin-hadoop3.2.tgz 
```
Now, we can extract the Spark distribution using tar, as follows:
```
tar xfvz spark-3.2.1-bin-hadoop3.2.tgz 
```
Now, we can test whether Apache Spark is working by executing...

The rest of the chapter is locked

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Authors (1)

Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.

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