Book Image

Learning Elasticsearch

By : Abhishek Andhavarapu
Book Image

Learning Elasticsearch

By: Abhishek Andhavarapu

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
Table of Contents (11 chapters)
10
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Querying Elasticsearch from Java application

In this section, we will discuss how to use a Java client to query Elasticsearch. In Chapter 4, Indexing and Updating Your Data, we discussed different types of Java clients and how to use them in your application for indexing. In this section, we will discuss how to use the client to query Elasticsearch. Let's take a simple match query as shown here:

#Match Query
POST chapter7/_search
{
"query": {
"match": {
"product_name": "iphone"
}
}
}

All the queries available via the REST API are also made available via the transport client. To execute the query using the Java client, first set up the client as shown next:

TransportAddress node1 = new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"), 9300);

Settings setting = Settings.builder().put("cluster...