Failed to derive type – How to solve this Elasticsearch exception

Opster Team

August-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 is unable to determine the data type of a field during indexing. This could be due to incorrect mapping or incompatible data types. To resolve this issue, you can explicitly define the mapping for the field in question, ensuring the data type matches the data you’re trying to index. Alternatively, you can modify the data to match the existing mapping. If the error persists, consider reindexing 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 ” Failed to derive type ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: index.

Log Context

Log “Failed to derive type” class name is MappingParser.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 type = rootName;
 mapping = (Map) mapping.get(rootName);
 }
 }
 if (type == null) {
 throw new MapperParsingException("Failed to derive type");
 }
 if (type.isEmpty()) {
 throw new MapperParsingException("type cannot be an empty string");
 }
 return parse(type; mapping);

 

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?