Pipeline is missing – 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 attempts to use an ingest pipeline that doesn’t exist. Ingest pipelines are used to pre-process documents before indexing. The error indicates that the specified pipeline is not found in the cluster. To resolve this issue, you can either create the missing pipeline or correct the pipeline name if it was misspelled. Alternatively, if the pipeline is not necessary, you can remove the pipeline parameter from the indexing request.

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 ” pipeline [{}] is missing ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: .

Log Context

Log “pipeline [{}] is missing” class name is IngestService.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 if (Regex.simpleMatch(request.getId(); pipelineKey)) {
 toRemove.add(pipelineKey);
 }
 }
 if (toRemove.isEmpty() && Regex.isMatchAllPattern(request.getId()) == false) {
 throw new ResourceNotFoundException("pipeline [{}] is missing"; request.getId());
 } else if (toRemove.isEmpty()) {
 return currentIngestMetadata;
 }
 final Map pipelinesCopy = new HashMap<>(pipelines);
 for (String key : toRemove) {

 

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?