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Elasticsearch Essentials

You're reading from   Elasticsearch Essentials Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781784391010
Length 240 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Elasticsearch FREE CHAPTER 2. Understanding Document Analysis and Creating Mappings 3. Putting Elasticsearch into Action 4. Aggregations for Analytics 5. Data Looks Better on Maps: Master Geo-Spatiality 6. Document Relationships in NoSQL World 7. Different Methods of Search and Bulk Operations 8. Controlling Relevancy 9. Cluster Scaling in Production Deployments 10. Backups and Security 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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