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Elasticsearch Essentials

Elasticsearch Essentials

By : Bharvi Dixit
4.3 (6)
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Elasticsearch Essentials

Elasticsearch Essentials

4.3 (6)
By: Bharvi Dixit

Overview of this book

With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store. This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.
Table of Contents (12 chapters)
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11
Index

Cheaper bulk operations


There are times when you need to perform more than one request on Elasticsearch. For this, Elasticsearch offers a bulk API with the _bulk endpoint that allows you to perform bulk operations in a single request, be it indexing, updating, or deleting more than one document, getting more than one document using more than one document ID, or executing more than one query in a single request. The best part is that bulk operations can be executed on more than one index and doc type in a single request. The Elasticsearch Java client also offers a BulkProcessor class, which will be covered in a later section of this chapter. For now, let's explore the bulk requests.

Note

The Python client provides a helper module to create bulk operations. You need to import this module from elasticsearch.helpers import bulk.

Bulk create

Bulk create allows to create documents only if they do not already exist in the index. It expects _source for each document to be separated with new lines.

Python...

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