Before you dig into reading this guide, have you tried asking OpsGPT what this log means? You’ll receive a customized analysis of your log.
Try OpsGPT now for step-by-step guidance and tailored insights into your Elasticsearch operation.
Briefly, this error occurs when Elasticsearch fails to analyze a text due to issues with character filtering. Character filters are used to preprocess the input text before it is analyzed. The error might be due to incorrect configuration or non-existent character filter. To resolve this, ensure that the character filter is correctly defined in the analysis settings. If it’s a custom filter, ensure it’s properly implemented. Also, check if the filter is available in the Elasticsearch version you’re using. Lastly, ensure the filter is correctly referenced in the analyzer definition.
For a complete solution to your to your search operation, try for free AutoOps for Elasticsearch & OpenSearch . With AutoOps and Opster’s proactive support, you don’t have to worry about your search operation – we take charge of it. Get improved performance & stability with less hardware.
This guide will help you check for common problems that cause the log ” failed to analyze (charFiltering) ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: admin, indices.
Log Context
Log “failed to analyze (charFiltering)” class name is TransportAnalyzeAction.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
StringBuilder sb = new StringBuilder();
do {
try {
len = input.read(buf; 0; BUFFER_SIZE);
} catch (IOException e) {
throw new ElasticsearchException("failed to analyze (charFiltering)"; e);
}
if (len > 0) {
sb.append(buf; 0; len);
}
} while (len == BUFFER_SIZE);
