IO error creating collector – 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 is unable to create a collector due to an Input/Output (IO) issue. This could be due to insufficient disk space, file system permission issues, or hardware failures. To resolve this, you can free up disk space, check and correct file system permissions, or investigate potential hardware issues. Additionally, ensure that Elasticsearch has enough heap memory allocated. If the issue persists, consider reindexing your data or upgrading your Elasticsearch version.

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 ” IO error creating collector ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: search, aggregations.

Log Context

Log “IO error creating collector” class name is BestDocsDeferringCollector.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 tdc = createTopDocsCollector(shardSize);
 currentLeafCollector = tdc.getLeafCollector(aggCtx.getLeafReaderContext());
 setScorer(scorer);
 } catch (IOException e) {
 throw new ElasticsearchException("IO error creating collector"; e);
 }
 }  public void getMatches(List allDocs) {
 TopDocs topDocs = tdc.topDocs();

 

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?

Get expert answers on Elasticsearch/OpenSearch