Text classification result has no data – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 8-8.9

Briefly, this error occurs when Elasticsearch attempts to classify text but finds no data to process. This could be due to an empty or null field, or a misconfiguration in the text classification settings. To resolve this issue, ensure that the field you’re trying to classify contains valid text data. Also, check your classification settings to ensure they’re correctly configured. If the problem persists, consider reindexing your data or reviewing your data ingestion process to ensure data is being correctly populated.

This guide will help you check for common problems that cause the log ” Text classification result has no data ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “Text classification result has no data” class name is TextClassificationProcessor.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 int numTopClasses;
 List labels;
 String resultsField
 ) {
 if (pyTorchResult.getInferenceResult().length < 1) {
 throw new ElasticsearchStatusException("Text classification result has no data"; RestStatus.INTERNAL_SERVER_ERROR);
 }  for (double[] result : pyTorchResult.getInferenceResult()[0]) {
 if (result.length != labels.size()) {
 throw new ElasticsearchStatusException(