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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

Multi get and multi search APIs


Until now, you have seen the execution of a single get request to fetch a document and hit a single query at a time to search for documents. However, life will be easier with the following two APIs offered by Elasticsearch.

Multi get

Multi get is all about combining more than one get request in a single request. I remember once I had a requirement to check the existence of multiple documents in an index and create a bulk update request against only those IDs that did not already exist. The one way to do this was by hitting a single HEAD request for each document ID, and based on the response of Elasticsearch, create a bulk update request for the documents that did not exist. However, multi get requests can solve this problem in a single API call instead of multiple HEAD requests.

All you need to do is create an array of document IDs and hit them on Elasticsearch using the _mget endpoint of Elasticsearch. The following is a simple curl request to show how you...

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