Distance feature query – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 8.3-8.9

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 execute a distance feature query due to incorrect field mapping or invalid parameters. The distance feature query is used to boost the relevance score of documents based on their proximity to a given point. To resolve this issue, ensure that the field you’re querying is correctly mapped as a date or geo_point type. Also, check that the origin and pivot parameters are valid and correctly formatted. If the error persists, consider reindexing your data with the correct mappings.

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 ” distance feature query ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: query, index.

Log Context

Log “distance feature query” class name is PlaceHolderFieldMapper.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 throw new QueryShardException(context; fail("span prefix query"));
 }  @Override
 public Query distanceFeatureQuery(Object origin; String pivot; SearchExecutionContext context) {
 throw new QueryShardException(context; fail("distance feature query"));
 }  @Override
 public IntervalsSource termIntervals(BytesRef term; SearchExecutionContext context) {
 throw new QueryShardException(context; fail("term intervals query"));


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?