Unsupported encoding parsing annotated text – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-7.17

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 tries to parse annotated text with an encoding that it doesn’t support. This could be due to incorrect content type headers or incompatible character sets. To resolve this issue, ensure that the content type header matches the actual content type of the data being sent. Also, check that the character set used in your data is supported by Elasticsearch. If necessary, convert your data to a supported encoding format before sending it to Elasticsearch.

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 ” Unsupported encoding parsing annotated text ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: index, plugins.

Log Context

Log “Unsupported encoding parsing annotated text” class name is AnnotatedTextFieldMapper.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 if (value != null && value.length() > 0) {
 annotations.add(new AnnotationToken(startOffset; endOffset; value));
 } catch (UnsupportedEncodingException e) {
 throw new ElasticsearchParseException("Unsupported encoding parsing annotated text"; e);
 if (lastPos < textPlusMarkup.length()) {


How helpful was this guide?

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?

Get expert answers on Elasticsearch/OpenSearch