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Mastering Elastic Stack

You're reading from   Mastering Elastic Stack Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios.

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Length 526 pages
Edition 1st Edition
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Authors (2):
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Ravi Kumar Gupta Ravi Kumar Gupta
Author Profile Icon Ravi Kumar Gupta
Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Author Profile Icon Yuvraj Gupta
Yuvraj Gupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Elastic Stack Overview FREE CHAPTER 2. Stepping into Elasticsearch 3. Exploring Logstash and Its Plugins 4. Kibana Interface 5. Using Beats 6. Elastic Stack in Action 7. Customizing Elastic Stack 8. Elasticsearch APIs 9. X-Pack: Security and Monitoring 10. X-Pack: Alerting, Graph, and Reporting 11. Best Practices 12. Case Study-Meetup

Java API

The Java client uses the transport layer for its operations and supports all kinds of operations. We can make searches, index documents, delete, or get documents including admin tasks on the cluster. We can also perform operations in bulk.

To use the Java API in our application we need to use a few JAR files as the dependency. For a maven project, we can add dependency in our pom.xml as follows:

<dependency> 
        <groupId>org.elasticsearch</groupId> 
        <artifactId>elasticsearch</artifactId> 
        <version>${elasticsearch.version}</version> 
</dependency> 

To include the jar files directly to the project, we can also download from the repository here https://repo.maven.apache.org/maven2/org/elasticsearch/elasticsearch. We can select the version we want for our application.

One thing to note here is that the client version should be the same as the version of Elasticsearch being used. For example, if we use Elasticsearch...

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