Updated: Feb-20
Elasticsearch Version: 1.7-8.0Background
Before you begin reading this guide try our beta Elasticsearch Health Check-Up it analyses JSON’s to provide personalized recommendations that can improve your clusters performance.
To troubleshoot log “Unable to close Groovy loader” it’s important to understand a few problems related to Elasticsearch concepts Index, Memory. See bellow important tips and explanations on these concepts
Memory in Elasticsearch
What is it
Memory is one of the most critical resources to monitor in Elasticsearch. Elasticsearch runs on JVM and uses heap memory areas for query cache, request cache, accessing lucene segments and storing fielddata for aggregations and sorting.
Commos problems and important points
- The most common error that arises in Elasticsearch is OutOfMemory error. This error comes when the node is not able to cope up with the required heap size space. To avoid this, you need to closely monitor the heap utilization and garbage collector performance.
- As per the most up-to-date best practices you should not allocate more than 50 percent of total RAM to JVM heap size. Starting from Elasticsearch version 5.x onward this can be set using -Xms and -Xmx parameters inside jvm.options configuration file. The defaults are set to 1 GB for both minimum and maximum heap size.
- The heap size should not set more than 31 GB in any case to avoid the poor garbage collection.
Log Context
Log”Unable to close Groovy loader” classname is GroovyScriptEngineService.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
Override
public Void run() {
try {
loader.close();
} catch (IOException e) {
logger.warn("Unable to close Groovy loader"; e);
}
return null;
}
});
}
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 Elasticsearch groovy script loading error
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