Failed to initialse filter – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-8.5

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 fails to initialize a filter due to incorrect filter configuration or missing plugins. The filter might be incorrectly defined in the Elasticsearch query or the required plugin for the filter might not be installed. To resolve this issue, you can check the filter configuration in your query and ensure it is correctly defined. Also, ensure that all necessary plugins for the filter are installed. If the error persists, check the Elasticsearch logs for more detailed error information.

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 ” Failed to initialse filter ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: aggregations, search, filter.

Log Context

Log “Failed to initialse filter” class name is FilterAggregatorFactory.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 if (weight == null) {
 IndexSearcher contextSearcher = context.searcher();
 try {
 weight = contextSearcher.createWeight(contextSearcher.rewrite(filter); ScoreMode.COMPLETE_NO_SCORES; 1f);
 } catch (IOException e) {
 throw new AggregationInitializationException("Failed to initialse filter"; e);
 }
 }
 return weight;
 }

 

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