Max running job capacity ” + localMaxAllowedRunningJobs + ” reached – Elasticsearch Error How To Solve Related Issues



Max running job capacity ” + localMaxAllowedRunningJobs + ” reached – Elasticsearch Error How To Solve Related Issues

Updated: July-20

Elasticsearch Version: 1.7-8.0

Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up  which can resolve issues causing many errors 

 

This guide will help you check for common problems that cause the log “max running job capacity ” + localMaxAllowedRunningJobs + ” reached” to appear. It’s important to understand the issues related to the log, so to get started, read the general overview on common issues and tips related to the Elasticsearch concepts: plugin.


Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up which analyses ES to discover the cause of many errors and provides suitable actionable recommendations (free tool that requires no installation). 

Log Context

Log”max running job capacity [” + localMaxAllowedRunningJobs + “] reached”classname  is AutodetectProcessManager.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

// Closing jobs can still be using some or all threads in MachineLearning.JOB_COMMS_THREAD_POOL_NAME
  // that an open job uses; so include them too when considering if enough threads are available.
  int currentRunningJobs = processByAllocation.size();
  // TODO: in future this will also need to consider jobs that are not anomaly detector jobs
  if (currentRunningJobs > localMaxAllowedRunningJobs) {
  throw new ElasticsearchStatusException("max running job capacity [" + localMaxAllowedRunningJobs + "] reached";
  RestStatus.TOO_MANY_REQUESTS);
  }
 
  String jobId = jobTask.getJobId();
  notifyLoadingSnapshot(jobId; autodetectParams);

 

Related issues to this log

We have gathered selected Q&A from the community and issues from Github, that can help fix related issues please review the following for further information :

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