Wrong value for termVector termVector for field fieldName – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-7.9

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Briefly, this error occurs when an incorrect value is assigned to the termVector parameter for a specific field in Elasticsearch. Term vectors are used for full text analysis and the valid values are “no”, “yes”, “with_offsets”, “with_positions”, “with_positions_offsets”. To resolve this issue, ensure that the termVector parameter is set to one of these valid values. Also, check your mapping configuration for any typographical errors or incorrect settings.

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This guide will help you check for common problems that cause the log ” wrong value for termVector [” + termVector + “] for field [” + fieldName + “] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: index.

Log Context

Log “wrong value for termVector [” + termVector + “] for field [” + fieldName + “]” class name is TypeParsers.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 } else if ("with_positions_offsets_payloads".equals(termVector)) {
 builder.storeTermVectorPositions(true);
 builder.storeTermVectorOffsets(true);
 builder.storeTermVectorPayloads(true);
 } else {
 throw new MapperParsingException("wrong value for termVector [" + termVector + "] for field [" + fieldName + "]");
 }
 }  public static List parseCopyFields(Object propNode) {
 List copyFields = new ArrayList<>();

 

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