Briefly, this error occurs when Elasticsearch encounters an issue while processing search or query results. This could be due to a variety of reasons such as incorrect query syntax, insufficient memory, or data type mismatches. To resolve this issue, you can check the query syntax for any errors, ensure that there is enough memory allocated to Elasticsearch, and verify that the data types in your query match those in your index. Additionally, checking the Elasticsearch logs can provide more detailed information about the error.
This guide will help you check for common problems that cause the log ” [{}] 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 “[{}] 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(new ParameterizedMessage("[{}] Error processing results"; deploymentId); e);
}
pendingResults.forEach(
(id; pendingResult) -> pendingResult.listener.onResponse(
new PyTorchInferenceResult(
id;
