Failed to parse bucket – 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 interpret the data structure of a bucket during an aggregation operation. This could be due to incorrect syntax, incompatible data types, or missing fields. To resolve this issue, you can: 1) Check and correct the syntax of your aggregation query; 2) Ensure that the data types in your query match those in your index; 3) Verify that all necessary fields are present in your index; 4) If the error persists, consider reindexing your data to ensure consistency.

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 ” failed to parse bucket ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “failed to parse bucket” class name is ExpiredResultsRemover.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 .createParser(NamedXContentRegistry.EMPTY; LoggingDeprecationHandler.INSTANCE; stream)
 ) {
 Bucket bucket = Bucket.LENIENT_PARSER.apply(parser; null);
 listener.onResponse(bucket.getTimestamp().getTime());
 } catch (IOException e) {
 listener.onFailure(new ElasticsearchParseException("failed to parse bucket"; e));
 }
 }
 }; listener::onFailure));
 }

 

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?