Elasticsearch Index Queue Size Is High

By Opster Team

Updated: Jul 2, 2023

| 2 min read

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In addition to understanding the implications of a high Elasticsearch index queue size and knowing how to resolve it, we recommend you run the Elasticsearch Health Check-Up. It will detect issues and improve your Elasticsearch performance by analyzing your shard sizes, threadpools, memory, snapshots, disk watermarks and more.

Before you dig into the details of this guide, have you tried asking OpsGPT? You’ll receive concise answers that will help streamline your Elasticsearch/OpenSearch operations.

Try OpsGPT now for step-by-step guidance and tailored insights into your search operation.

Watch the video below for a quick overview of index and indexes in Elasticsearch:

Index and indexing in Elasticsearch - 3 min

Overview

If the Elasticsearch cluster starts to reject indexing requests, there could be a number of causes. Generally it is an indication that one or more nodes cannot keep up with the volume of indexing / delete / update / bulk requests, resulting in a queue building up on that node. Once the indexing queue exceeds the index queue maximum size (as defined here: Threadpools) then the node will start to reject the indexing requests.

How to resolve it

You should check the state of the thread pool to find out whether the indexing rejections are always occurring on the same node, or are spread across all of the nodes.

GET /_cat/thread_pool/index

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