Missing path field for nested aggregation aggregationName – 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 tries to execute a nested aggregation but the required ‘path’ field is not provided. The ‘path’ field is essential as it specifies the nested document path. To resolve this issue, ensure that the ‘path’ field is included in your nested aggregation query. Also, verify that the ‘path’ field points to a valid nested field in your Elasticsearch index. If the field is not nested, you may need to reindex your data with the correct nested field structure.

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 ” Missing [path] field for nested aggregation [” + aggregationName + “] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: search, aggregations.

Log Context

Log “Missing [path] field for nested aggregation [” + aggregationName + “]” class name is NestedAggregationBuilder.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 }
 }  if (path == null) {
 // "field" doesn't exist; so we fall back to the context of the ancestors
 throw new ParsingException(parser.getTokenLocation(); "Missing [path] field for nested aggregation [" + aggregationName + "]");
 }  return new NestedAggregationBuilder(aggregationName; path);
 }

 

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