Could not parse schedule unexpected field – 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 is unable to parse a schedule due to an unexpected field. This usually happens when there’s a syntax error or an incorrect field in the cron expression of the schedule. To resolve this issue, you should first verify the cron expression syntax. Make sure it follows the correct format and doesn’t contain any invalid characters or fields. If the syntax is correct, check if the field causing the error is supported in your Elasticsearch version. If it’s not, you may need to update your Elasticsearch version or remove the unsupported field.

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 ” could not parse [{}] schedule. unexpected field [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “could not parse [{}] schedule. unexpected field [{}]” class name is We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 } else {
 throw new ElasticsearchParseException("could not parse [{}] schedule. unexpected field [{}]"; TYPE; currentFieldName);
 }  return times.isEmpty() ? new DailySchedule() : new DailySchedule(times.toArray(DayTimes[]::new));


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