Briefly, this error occurs when Elasticsearch tries to update the status of a task with a specific ID, but the allocation ID associated with that task is different than expected. This could be due to a task being reallocated or a data inconsistency. To resolve this issue, you can try the following: 1) Check for any inconsistencies in your data and correct them. 2) If the task was reallocated, update the allocation ID in your request to match the current one. 3) If the problem persists, consider deleting and recreating the task with the correct allocation ID.
This guide will help you check for common problems that cause the log ” The task [{}] with id [{}] was found but it has a different allocation id [{}]; status is not updated ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: task, allocation, persistent.
Overview
A task is an Elasticsearch operation, which can be any request performed on an Elasticsearch cluster, such as a delete by query request, a search request and so on. Elasticsearch provides a dedicated Task API for the task management which includes various actions, from retrieving the status of current running tasks to canceling any long running task.
Examples
Get all currently running tasks on all nodes of the cluster
Apart from other information, the response of the below request contains task IDs of all the tasks which can be used to get detailed information about the particular task in question.
GET _tasks
Get detailed information of a particular task
Where clQFAL_VRrmnlRyPsu_p8A:1132678759 is the ID of the task in below request
GET _tasks/clQFAL_VRrmnlRyPsu_p8A:1132678759
Get all the current tasks running on particular nodes
GET _tasks?nodes=nodeId1,nodeId2
Cancel a task
Where clQFAL_VRrmnlRyPsu_p8A:1132678759 is the ID of the task in the below request
POST /_tasks/clQFAL_VRrmnlRyPsu_p8A:1132678759/_cancel?pretty
Notes
- The Task API will be most useful when you want to investigate the spike of resource utilization in the cluster or want to cancel an operation.
Overview
In Elasticsearch, persistent refers to cluster settings that persist across cluster restarts. This setting is used in Cluster Update API calls. Persistent settings can also be configured in the elasticsearch.yml file.
Examples
## enable shard routing
PUT /_cluster/settings
{
"persistent" : {
"cluster.routing.allocation.enable" : "all"
}
}
## enable rebalancing of shards
PUT /_cluster/settings
{
"persistent" : {
"cluster.routing.rebalance.enable" : "all"
}
}
## limit the heap size for fielddata
PUT /_cluster/settings
{
"persistent" : {
“indices.breaker.fielddata.limit”: "30%"
}
}Log Context
Log “The task [{}] with id [{}] was found but it has a different allocation id [{}]; status is not updated” classname is PersistentTasksClusterService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
if (tasksInProgress.hasTask(id; allocationId)) {
tasksInProgress.removeTask(id);
return update(currentState; tasksInProgress);
} else {
if (tasksInProgress.hasTask(id)) {
logger.warn("The task [{}] with id [{}] was found but it has a different allocation id [{}]; status is not updated";
PersistentTasksCustomMetadata.getTaskWithId(currentState; id).getTaskName(); id; allocationId);
} else {
logger.warn("The task [{}] wasn't found; status is not updated"; id);
}
throw new ResourceNotFoundException("the task with id [" + id + "] and allocation id [" + allocationId + "] not found");
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