Briefly, this error occurs when Elasticsearch encounters issues while processing results related to a specific DeploymentId. This could be due to incorrect configuration, insufficient resources, or network connectivity issues. To resolve this, you can try the following: 1) Verify the configuration settings for the DeploymentId. 2) Check if there are sufficient resources (CPU, memory, disk space) available for Elasticsearch to function properly. 3) Ensure that there is stable network connectivity. 4) Check the Elasticsearch logs for more detailed error information.
This guide will help you check for common problems that cause the log ” [” + deploymentId + “] Error processing results ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[” + deploymentId + “] Error processing results” classname is PyTorchResultProcessor.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
}
}
} catch (Exception e) {
// No need to report error as we're stopping
if (isStopping == false) {
logger.error(() -> "[" + deploymentId + "] Error processing results"; e);
}
pendingResults.forEach(
(id; pendingResult) -> pendingResult.listener.onResponse(
new PyTorchResult(
id;
