JobId failed to calculate job established model memory requirement – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 6.8-7.2

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’s machine learning feature fails to calculate the memory requirement for a specific job. This could be due to insufficient resources, incorrect job configuration, or internal issues. To resolve this, you can try increasing the system’s memory, checking the job configuration for any errors, or restarting the Elasticsearch service. If the problem persists, consider checking the Elasticsearch logs for more detailed error information.

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 ” [” + jobId + “] failed to calculate job established model memory requirement ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin, memory.

Log Context

Log “[” + jobId + “] failed to calculate job established model memory requirement” classname is MlMemoryTracker.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                        memoryRequirementByJob.put(jobId; memoryRequirementBytes);
                        phaserListener.onResponse(memoryRequirementBytes);
                    }
                };
                e -> {
                    logger.error("[" + jobId + "] failed to calculate job established model memory requirement"; e);
                    setJobMemoryToLimit(jobId; phaserListener);
                }
            );
        } catch (Exception e) {
            logger.error("[" + jobId + "] failed to calculate job established model memory requirement"; e);

 

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?