Attempting to recover from malformed JSON data – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 6.8-8.9

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 encounters data in JSON format that is incorrectly structured or invalid. This could be due to syntax errors, missing or extra commas, brackets, or quotes. To resolve this issue, you can use a JSON validator to identify and correct the malformed JSON data. Alternatively, you can review the data source or the process generating the JSON to ensure it’s producing valid JSON. Lastly, consider implementing error handling in your application to catch and manage malformed JSON errors.

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 ” Attempting to recover from malformed JSON data. ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “Attempting to recover from malformed JSON data.” classname is
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

    protected XContentParser.Token tryNextTokenOrReadToEndOnError() throws IOException {
        try {
            return parser.nextToken();
        } catch (XContentEOFException | XContentParseException e) {
            logger.warn("Attempting to recover from malformed JSON data."; e);
            for (int i = 0; i 


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