Briefly, this error occurs when Elasticsearch’s Machine Learning feature fails to create native processes due to insufficient system resources or incorrect configuration. To resolve this issue, you can try the following: 1) Ensure that your system has enough resources (CPU, memory, disk space) to run Machine Learning processes. 2) Check your Elasticsearch configuration for any errors or misconfigurations related to Machine Learning. 3) Update your Elasticsearch to the latest version as it may contain fixes for this issue. 4) If you’re running in a containerized environment, ensure it has the necessary permissions to create native processes.
This guide will help you check for common problems that cause the log ” Failed to create native process factories for Machine Learning ” 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 create native process factories for Machine Learning” class name is MachineLearning.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
clusterService);
normalizerProcessFactory = new NativeNormalizerProcessFactory(environment; nativeController);
} catch (IOException e) {
// This also should not happen in production; as the MachineLearningFeatureSet should have
// hit the same error first and brought down the node with a friendlier error message
throw new ElasticsearchException("Failed to create native process factories for Machine Learning"; e);
}
} else {
autodetectProcessFactory = (job; autodetectParams; executorService; onProcessCrash) ->
new BlackHoleAutodetectProcess(job.getId());
// factor of 1.0 makes renormalization a no-op
