Span near must include clauses – 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 the “span_near” query in Elasticsearch doesn’t include the required “clauses” field. The “clauses” field is essential as it contains the span queries to be matched. To resolve this issue, ensure that your “span_near” query includes the “clauses” field with at least one span query. Also, check your query syntax to ensure it’s correct. If the problem persists, consider reviewing your data structure or consult the Elasticsearch documentation for more information on “span_near” queries.

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 ” span_near must include [clauses] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: query, index.

Log Context

Log “span_near must include [clauses]” class name is We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 throw new ParsingException(parser.getTokenLocation(); "[span_near] query does not support [" + currentFieldName + "]");
 }  if (clauses.isEmpty()) {
 throw new ParsingException(parser.getTokenLocation(); "span_near must include [clauses]");
 }  SpanNearQueryBuilder queryBuilder = new SpanNearQueryBuilder(clauses.get(0); slop);
 for (int i = 1; i < clauses.size(); i++) {


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