Failed to execute – How to solve related issues

Opster Team

Feb-20, Version: 1.7-8.0

Before you begin reading this guide, we recommend you run Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many errors.

Briefly, this error message indicates that Elasticsearch was unable to execute a particular operation, such as a query or an indexing request. The error can be caused by a variety of issues, including malformed requests, insufficient memory or disk space, network issues, or configuration problems. To resolve the issue, you can start by examining the Elasticsearch logs to determine the exact cause of the error, and then take appropriate actions based on the root cause. For example, if the error is caused by a memory issue, you can try increasing the heap size allocated to Elasticsearch.

To easily locate the root cause and resolve this issue try AutoOps for Elasticsearch & OpenSearch. It diagnoses problems by analyzing hundreds of metrics collected by a lightweight agent and offers guidance for resolving them.

This guide will help you check for common problems that cause the log ” Failed to execute ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: Index and Memory.

Log Context

Log “failed to execute [{}]” classname is
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

    public void run() {
        try {
        } catch (Exception e) {
            logger.warn("failed to execute [{}]"; e; runnable.toString());


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