Briefly, this error occurs when Elasticsearch encounters an issue while trying to write a control message to the inference process. This could be due to a network issue, a problem with the inference process itself, or a lack of resources. To resolve this issue, you can try restarting the inference process, checking the network connection, or allocating more resources to Elasticsearch. Additionally, ensure that the deployment ID is correct and that the inference process is properly configured to receive control messages.
This guide will help you check for common problems that cause the log ” [” + getDeploymentId() + “] 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 “[” + getDeploymentId() + “] 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(() -> "[" + getDeploymentId() + "] 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);
}
}
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