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)

Bulk operations

In this section, we will discuss various bulk operations Elasticsearch supports. Batching multiple requests together saves network round trips, and the requests in the batch can be executed in parallel. Elasticsearch has a dedicated thread pool for bulk operations, and the number of requests it can process in parallel depends on the number of the CPU processors in the node.

The following are the different bulk operations supported:

  • Bulk API: This can be used to batch multiple index and delete operations and execute them using a single API call.
  • Multi Get API: This can be used to retrieve documents using document IDs.
  • Update by query: This can be used to update a set of documents that match a query.
  • Delete by query: This can be used to delete the documents that match a query.
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