Elasticsearch High Management Queue

Elasticsearch High Management Queue

Opster Team

March 2021

In addition to reading this guide, 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.

The Elasticsearch Check-Up is free and requires no installation.

Run the Elasticsearch check-up to receive recommendations like this:

checklist Run Check-Up

The following configuration error was detected on node 123...



This error can have a severe impact on your system. It's important to understand that it was caused by...



In order to resolve this issue and prevent it from occurring again, we recommend that you begin by changing the configuration to...


X-PUT curl -H "Content-Type: application/json" [customized recommendation]


The management queue is where tasks such as node allocation or index management tasks are queued if they cannot be carried out immediately. In a stable cluster, it would be normal to have one management thread per node, with no rejections. If management tasks start to back up, it’s an indication that:

  • An excessive number of management tasks are being created, or
  • Something is stopping the management tasks from being carried out properly. 

A high number of tasks in the management queue can cause cluster instability which could result in shards not being allocated, possible loss of data and your cluster turning red. The cause should be investigated and resolved as soon as possible.

How to resolve the issue

To see the status of the thread queue, you can run the following command:

GET /_cat/thread_pool/management?v&h=id,active,rejected,completed,node_id

This should give you an idea of the current status of the thread pool, and which node(s) have tasks being queued.

You can also run this command:

GET /_cat/pending_tasks?v

This should give you an indication of what sort of tasks are being queued on the cluster.

Run the Check-Up to get a customized report like this:

Analyze your cluster