Failed to load pipeline pipelineId – How to solve this Elasticsearch error

Opster Team

Aug-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 load a specified ingest pipeline due to reasons such as the pipeline not existing, incorrect pipeline ID, or issues with the pipeline definition. To resolve this, ensure the pipeline ID is correct and the pipeline exists. If it doesn’t, create it. If the pipeline exists, check the pipeline definition for any errors and correct them. Also, ensure that the Elasticsearch cluster has the necessary permissions to access and load the pipeline.

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 load pipeline [” + pipelineId + “] ” 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 load pipeline [” + pipelineId + “]” classname is TransportDeleteTrainedModelAction.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                    .filter(p -> p instanceof InferenceProcessor)
                    .map(p -> (InferenceProcessor) p)
                    .map(InferenceProcessor::getModelId)
                    .forEach(allReferencedModelKeys::add);
            } catch (Exception ex) {
                logger.warn(() -> "failed to load pipeline [" + pipelineId + "]"; ex);
            }
        }
        return allReferencedModelKeys;
    }

 

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?