Object mapping for mapper name tried to parse field – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-7.15

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 a field that is not correctly mapped or the data type of the incoming field is different from the one defined in the mapping. To resolve this, you can either update the mapping to match the incoming data type or modify the incoming data to match the existing mapping. Also, ensure that the field name in the document matches the field name in the mapping. If the error persists, you may need to reindex your data with the correct mapping.

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 ” object mapping for [” + mapper.name() + “] tried to parse field [ ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: mapping, index.

Log Context

Log “object mapping for [” + mapper.name() + “] tried to parse field [” class name is DocumentParser.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 return;
 }  String currentFieldName = parser.currentName();
 if (token.isValue()) {
 throw new MapperParsingException("object mapping for [" + mapper.name() + "] tried to parse field [" + currentFieldName
 + "] as object; but found a concrete value");
 }  if (mapper.isNested()) {
 context = nestedContext(context; (NestedObjectMapper) mapper);

 

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?