Constant score requires a filter element – 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 a ‘constant_score’ query is used in Elasticsearch without providing a ‘filter’ element. The ‘constant_score’ query is used to wrap another query and reduce the effect of scoring. To resolve this issue, you need to include a ‘filter’ element in your ‘constant_score’ query. This filter can be any valid Elasticsearch query. If you don’t want to filter the results, you can use a ‘match_all’ query as the filter.

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 ” [constant_score] requires a ‘filter’ element ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: query, index.

Log Context

Log “[constant_score] requires a ‘filter’ element” class name is We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 } else {
 throw new ParsingException(parser.getTokenLocation(); "unexpected token [" + token + "]");
 if (queryFound == false) {
 throw new ParsingException(parser.getTokenLocation(); "[constant_score] requires a 'filter' element");
 }  ConstantScoreQueryBuilder constantScoreBuilder = new ConstantScoreQueryBuilder(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?

Get expert answers on Elasticsearch/OpenSearch