Briefly, this error occurs when Elasticsearch is unable to allocate machine learning models due to insufficient memory resources. This could be due to large model sizes or limited JVM heap size. To resolve this issue, you can try reducing the size of your models, increasing the JVM heap size, or adding more nodes to your Elasticsearch cluster. Additionally, ensure that your cluster is properly configured to handle the load and consider optimizing your queries to reduce memory usage.
This guide will help you check for common problems that cause the log ” failed to allocate models ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “failed to allocate models” classname is TrainedModelAssignmentClusterService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
return addRemoveAssignmentNodes(currentState);
}
@Override
public void onFailure(Exception e) {
logger.warn("failed to allocate models"; e);
}
@Override
public void clusterStateProcessed(ClusterState oldState; ClusterState newState) {
logger.trace(
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