Analyzer must be set for field name but wasn t – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-8.9

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Briefly, this error occurs when a field in Elasticsearch is missing an analyzer. An analyzer is crucial as it is used to convert data into searchable terms. To resolve this issue, you can set an analyzer for the field by updating the mapping of the index. Alternatively, you can specify an analyzer while querying. If you want to use the same analyzer for all fields, you can set a default analyzer in the index settings.

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This guide will help you check for common problems that cause the log ” Analyzer must be set for field [” + name + “] but wasn’t. ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: index.

Log Context

Log “Analyzer must be set for field [” + name + “] but wasn’t.” class name is TokenCountFieldMapper.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 }  @Override
 public TokenCountFieldMapper build(MapperBuilderContext context) {
 if (analyzer.getValue() == null) {
 throw new MapperParsingException("Analyzer must be set for field [" + name + "] but wasn't.");
 }
 MappedFieldType ft = new TokenCountFieldType(
 context.buildFullName(name);
 index.getValue();
 store.getValue();

 

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