Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many configuration errors.
To easily locate the root cause and resolve this issue try AutoOps for Elasticsearch & OpenSearch. It diagnoses problems by analyzing hundreds of metrics collected by a lightweight agent and offers guidance for resolving them.
This guide will help you check for common problems that cause the log ” failed to parse term vectors request. field fields must be an array ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: request.
Log Context
Log “failed to parse term vectors request. field [fields] must be an array”classname is TermVectorsRequest.java We extracted the following from Elasticsearch source code for those seeking an in-depth context :
if (token == XContentParser.Token.START_ARRAY) {
while (parser.nextToken() != XContentParser.Token.END_ARRAY) {
fields.add(parser.text());
}
} else {
throw new ElasticsearchParseException("failed to parse term vectors request. field [fields] must be an array");
}
} else if (OFFSETS.match(currentFieldName; parser.getDeprecationHandler())) {
termVectorsRequest.offsets(parser.booleanValue());
} else if (POSITIONS.match(currentFieldName; parser.getDeprecationHandler())) {
termVectorsRequest.positions(parser.booleanValue());
See how you can use AutoOps to resolve issues
