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)

Updating your data

In this section, we will discuss different ways of updating existing documents. Internally, an update is always a delete and re-index. You can update using the entire document (replacing the original document), or update a single field or add a new field, or update a field using scripts, such as incrementing a counter.

Update using an entire document

When you index a document with the existing document ID, it will replace the current document with the new document. As shown next, we can update the document ID 1 using the entire document:

 PUT chapter4/person/1
{
"id": 1,
"name": "name update 1",
"age": 55,
"gender": "M",
"email&quot...