Plugin: implementing onModule with no parameters or more than one parameter – How to solve related issues

Plugin: implementing onModule with no parameters or more than one parameter – 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 can resolve issues that cause many errors.

This guide will help you check for common problems that cause the log ” Plugin: implementing onModule with no parameters or more than one parameter ” 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: plugins.

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 pinpoint the cause of many errors and provides suitable actionable recommendations how to resolve them (free tool that requires no installation).

Log Context

Log “Plugin: {} implementing onModule with no parameters or more than one parameter” classname is PluginsService.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                 // this is a deprecated final method; so all Plugin subclasses have it
                if (method.getParameterTypes().length == 1 && method.getParameterTypes()[0].equals(IndexModule.class)) {
                    continue;
                }
                if (method.getParameterTypes().length == 0 || method.getParameterTypes().length > 1) {
                    logger.warn("Plugin: {} implementing onModule with no parameters or more than one parameter"; plugin.name());
                    continue;
                }
                Class moduleClass = method.getParameterTypes()[0];
                if (!Module.class.isAssignableFrom(moduleClass)) {
                    logger.warn("Plugin: {} implementing onModule by the type is not of Module type {}"; plugin.name(); moduleClass);




 

Run the Check-Up to get customized recommendations like this:

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Description

There are various “watermark” thresholds on each Elasticsearch cluster. When the high disk watermark threshold has been exceeded, it means disk space is running out. The node will…

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Recommendations

Based on your specific ES deployment you should…

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X-PUT curl -H [a customized code snippet to resolve the issue]

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