Briefly, this error occurs when a persistent task in Elasticsearch fails to execute successfully. This could be due to various reasons such as insufficient resources, network issues, or incorrect configurations. To resolve this issue, you can try the following: 1) Check the task’s logs for more detailed error messages. 2) Verify the cluster’s health and resources. 3) Ensure the task’s configurations are correct. 4) If the task is not critical, consider deleting and recreating it. 5) If the issue persists, consider restarting the Elasticsearch node.
This guide will help you check for common problems that cause the log ” persistent task ” + id + ” failed ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: task, 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 “persistent task ” + id + ” failed” classname is PersistentTasksClusterService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
* @param listener the listener that will be called when task is removed
*/
public void completePersistentTask(String id; long allocationId; Exception failure; ActionListener> listener) {
final String source;
if (failure != null) {
logger.warn("persistent task " + id + " failed"; failure);
source = "finish persistent task (failed)";
} else {
source = "finish persistent task (success)";
}
submitUnbatchedTask(source; new ClusterStateUpdateTask() {
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