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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

Practical considerations for bulk processing


It's awesome to minimize the requests using the search types and bulk APIs we saw in this chapter, but you also need to think that for a large amount of processing to be done by Elasticsearch, you need to take care of resource utilization and control the size of your requests accordingly. The following are some points that will help you while working with the things you have learned in this chapter.

The most important factor to be taken care of is the size of your documents. Fetching or indexing 1 KB of 1,000 documents in a single request is damn easier than 100 KB of 1,000 documents:

  • Multisearch: While querying with multi search requests, you should take care of how many queries you are hitting in a single request. You just can't combine 1,000 queries in a single query and execute them in one go. Also, the number of queries should be minimized according to the complexity of queries. So, you can break your query set into multiple multi-search requests...

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