OnFollowerCheckRequest: current term is – Elasticsearch Error How To Solve Related Issues



OnFollowerCheckRequest: current term is – 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 “onFollowerCheckRequest: current term is” 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: cluster.


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”onFollowerCheckRequest: current term is [“classname  is Coordinator.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

synchronized (mutex) {
  ensureTermAtLeast(followerCheckRequest.getSender(); followerCheckRequest.getTerm());
 
  if (getCurrentTerm() != followerCheckRequest.getTerm()) {
  logger.trace("onFollowerCheckRequest: current term is [{}]; rejecting {}"; getCurrentTerm(); followerCheckRequest);
  throw new CoordinationStateRejectedException("onFollowerCheckRequest: current term is ["
  + getCurrentTerm() + "]; rejecting " + followerCheckRequest);
  }
 
  // check if node has accepted a state in this term already. If not; this node has never committed a cluster state in this
  // term and therefore never removed the NO_MASTER_BLOCK for this term. This logic ensures that we quickly turn a node

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 :

1 Memory usage of dedicated master-nodes are too high – Elasticsearch  

Memory usage of dedicated master-nodes are too high – Elasticsearch  



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