Failed to load field – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-8.7

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 load a specific field from the index. This could be due to a variety of reasons such as incorrect field name, data type mismatch, or corruption in the index. To resolve this issue, you can verify the field name and its data type in your query. If the problem persists, consider reindexing your data. If the index is corrupted, you may need to restore it from a backup.

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 load field [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: search.

Log Context

Log “failed to load field [{}]” class name is LeafStoredFieldsLookup.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 List values = new ArrayList<>(2);
 SingleFieldsVisitor visitor = new SingleFieldsVisitor(data.fieldType(); values);
 try {
 reader.accept(docId; visitor);
 } catch (IOException e) {
 throw new ElasticsearchParseException("failed to load field [{}]"; e; name);
 }
 data.fields(singletonMap(data.fieldType().name(); values));
 }
 return data;
 }

 

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?