Timeout waiting for ; request: – Elasticsearch Error How To Solve Related Issues

Timeout waiting for ; request: – 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 “Timeout waiting for ; request:” 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: .

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”Timeout waiting for [{}]; request: {}”classname  is TransportInstanceSingleOperationAction.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

if (observer.isTimedOut()) {
  // we running as a last attempt after a timeout has happened. don't retry
  Exception listenFailure = failure;
  if (listenFailure == null) {
  if (shardIt == null) {
  listenFailure = new UnavailableShardsException(request.concreteIndex(); -1; "Timeout waiting for [{}]; request: {}";
  request.timeout(); actionName);
  } else {
  listenFailure = new UnavailableShardsException(shardIt.shardId();
  "[{}] shardIt; [{}] active : Timeout waiting for [{}]; request: {}"; shardIt.size(); shardIt.sizeActive();
  request.timeout(); actionName);

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 Timeout waiting for task Error while getting Large sized fulltext-indexed data from Elastic Search on my Java Project -views 770 

Node client cannot connect to cluster – Elasticsearch – Discuss the …  

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