Task with id taskId already exist – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-8.9

Before you dig into reading this guide, have you tried asking OpsGPT what this log means? You’ll receive a customized analysis of your log.

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

Briefly, this error occurs when a task with the same ID is already running in Elasticsearch. This could be due to a previous task not completing properly or a new task being initiated with an existing ID. To resolve this issue, you can either wait for the existing task to complete or terminate it manually. Alternatively, you can assign a unique ID to the new task to avoid duplication.

For a complete solution to your to your search operation, try for free AutoOps for Elasticsearch & OpenSearch . With AutoOps and Opster’s proactive support, you don’t have to worry about your search operation – we take charge of it. Get improved performance & stability with less hardware.

This guide will help you check for common problems that cause the log ” task with id {” + taskId + “} already exist ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: persistent, task.

Log Context

Log “task with id {” + taskId + “} already exist” class name is PersistentTasksClusterService.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 submitUnbatchedTask("create persistent task"; new ClusterStateUpdateTask() {
 public ClusterState execute(ClusterState currentState) {
 PersistentTasksCustomMetadata.Builder builder = builder(currentState);
 if (builder.hasTask(taskId)) {
 throw new ResourceAlreadyExistsException("task with id {" + taskId + "} already exist");
 }  PersistentTasksExecutor taskExecutor = registry.getPersistentTaskExecutorSafe(taskName);
 taskExecutor.validate(taskParams; currentState);


How helpful was this guide?

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?

Get expert answers on Elasticsearch/OpenSearch