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Briefly, this error occurs when OpenSearch tries to complete a task that is already in a completed state. This could be due to a timing issue, a bug in the code, or a problem with the state management. To resolve this issue, you can try the following: 1) Check the task status before attempting to complete it. 2) Review the code for any bugs that might cause the task to be completed twice. 3) Investigate the state management system to ensure it’s correctly updating the task status.
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This guide will help you check for common problems that cause the log ” attempt to complete task [{}] with id [{}] in the [{}] state ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: task, persistent.
Overview
In OpenSearch, 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 opensearch.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 “attempt to complete task [{}] with id [{}] in the [{}] state” classname is AllocatedPersistentTask.java.
We extracted the following from OpenSearch source code for those seeking an in-depth context :
}
private void completeAndNotifyIfNeeded(@Nullable Exception failure) {
final State prevState = state.getAndSet(State.COMPLETED);
if (prevState == State.COMPLETED) {
logger.warn("attempt to complete task [{}] with id [{}] in the [{}] state"; getAction(); getPersistentTaskId(); prevState);
} else {
if (failure != null) {
logger.warn(() -> new ParameterizedMessage("task {} failed with an exception"; getPersistentTaskId()); failure);
}
try {
