Type mismatch provide type source type but mapper is of type – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-7.11

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Briefly, this error occurs when there’s a discrepancy between the data type of the input data and the data type defined in the Elasticsearch index mapping. This could be due to incorrect data type in the input or incorrect mapping. To resolve this, you can either change the data type of the input data to match the mapping or update the mapping to match the data type of the input. However, be cautious as changing the mapping can lead to data loss. It’s also important to validate your data before indexing to prevent such errors.

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This guide will help you check for common problems that cause the log ” Type mismatch; provide type [” + source.type() + “] but mapper is of type [ ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: index, source.

Log Context

Log “Type mismatch; provide type [” + source.type() + “] but mapper is of type [” class name is DocumentParser.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 throw new IllegalArgumentException("It is forbidden to index into the default mapping [" + MapperService.DEFAULT_MAPPING + "]");
 }  if (Objects.equals(source.type(); docMapper.type()) == false &&
 MapperService.SINGLE_MAPPING_NAME.equals(source.type()) == false) { // used by typeless APIs
 throw new MapperParsingException("Type mismatch; provide type [" + source.type() + "] but mapper is of type ["
 + docMapper.type() + "]");
 }
 }  private static void validateStart(XContentParser parser) throws IOException {

 

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