Briefly, this error occurs when Elasticsearch encounters an issue while trying to write a control message to the inference process, which is part of the machine learning feature. This could be due to insufficient resources, network issues, or a problem with the inference model. To resolve this, you can try increasing system resources, checking network connectivity, or verifying the integrity of the inference model. If the problem persists, consider restarting the Elasticsearch service or checking the logs for more detailed error information.
This guide will help you check for common problems that cause the log ” [” + getModelId() + “] error writing control message to the inference process ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[” + getModelId() + “] error writing control message to the inference process” classname is AbstractControlMessagePyTorchAction.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
getProcessContext().getResultProcessor()
.registerRequest(requestIdStr; ActionListener.wrap(this::processResponse; this::onFailure));
getProcessContext().getProcess().get().writeInferenceRequest(message);
} catch (IOException e) {
logger.error(() -> "[" + getModelId() + "] error writing control message to the inference process"; e);
onFailure(ExceptionsHelper.serverError("Error writing control message to the inference process"; e));
} catch (Exception e) {
onFailure(e);
}
}
