Unsupported aggregation type – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 7.11-7.13

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 you try to use an aggregation type in Elasticsearch that is not supported or does not exist. This could be due to a typo in the aggregation name or using an aggregation that is not available in your Elasticsearch version. To resolve this issue, you should verify the aggregation type you’re using is correct and supported in your Elasticsearch version. If the error persists, consider upgrading your Elasticsearch version to one that supports the desired aggregation type.

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 ” Unsupported aggregation type [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “Unsupported aggregation type [{}]” class name is Pivot.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 public void validateConfig(ActionListener listener) {
 for (AggregationBuilder agg : config.getAggregationConfig().getAggregatorFactories()) {
 if (TransformAggregations.isSupportedByTransform(agg.getType()) == false) {
 // todo: change to ValidationException
 listener.onFailure(
 new ElasticsearchStatusException("Unsupported aggregation type [{}]"; RestStatus.BAD_REQUEST; agg.getType())
 );
 return;
 }
 }
 listener.onResponse(true);

 

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?