Failed to load pipeline – How to solve related issues

Opster Team

Feb-20, Version: 1.7-8.0

Before you begin reading this guide, we recommend you run Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many errors.

Briefly, this error message usually indicates that Elasticsearch was unable to load a pipeline due to a configuration issue or a corrupted pipeline file. To resolve this issue, you can try reviewing the pipeline configuration to ensure that it is correct, or deleting and recreating the pipeline.

To easily locate the root cause and resolve this issue try AutoOps for Elasticsearch & OpenSearch. It diagnoses problems by analyzing hundreds of metrics collected by a lightweight agent and offers guidance for resolving them. Take a self-guided product tour to see for yourself (no registration required).

This guide will help you check for common problems that cause the log ” Failed to load pipeline ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: delete and plugin.

Log Context

Log “failed to load pipeline [{}]” classname is
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

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


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