You're reading from Learning Elasticsearch

Product typeBook

Published inJun 2017

PublisherPackt

ISBN-139781787128453

Edition1st Edition

Tools

Elasticsearch Kibana

Concepts

Enterprise Search

Author (1)

Abhishek Andhavarapu

Thread pools

Elasticsearch has a thread pool for all the major modules. Each thread pool has a queue associated with the pool. For example, if the index thread pool receives more requests than it can process, the requests are queued up. If the queue is full, the request is rejected. Watching for the number of requests in the queue is important. If the requests are frequently queued, the response times are degraded. The pool size is calculated based on the available processors. The important thread pools are as follows:

Thread pool	Description
index	This is used for index and delete operations. It has a queue size of 200.
search	This is used for search operations. It has a queue size of 1,000.
bulk	This is used for bulk operations. It has a queue size of 50.
refresh	This is used for refresh operations.

Note that if the queue is full, the request is rejected with an...

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Learning Elasticsearch

Published in: Jun 2017Publisher: PacktISBN-13: 9781787128453

Author (1)

Abhishek Andhavarapu

Abhishek Andhavarapu is a software engineer at eBay who enjoys working on highly scalable distributed systems. He has a master's degree in Distributed Computing and has worked on multiple enterprise Elasticsearch applications, which are currently serving hundreds of millions of requests per day. He began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards and quickly realized that Elasticsearch is like nothing out there for search and analytics. He has been a strong advocate since then and wrote this book to share the practical knowledge he gained along the way.
Read more about Abhishek Andhavarapu

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