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. ” 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.”classname is TermVectorsRequest.java We extracted the following from Elasticsearch source code for those seeking an in-depth context :
} else if (INDEX.match(currentFieldName; parser.getDeprecationHandler())) {
// the following is important for multi request parsing.
termVectorsRequest.index = parser.text();
} else if (ID.match(currentFieldName; parser.getDeprecationHandler())) {
if (termVectorsRequest.doc != null) {
throw new ElasticsearchParseException("failed to parse term vectors request. " +
"either [id] or [doc] can be specified; but not both!");
}
termVectorsRequest.id = parser.text();
} else if (DOC.match(currentFieldName; parser.getDeprecationHandler())) {
if (termVectorsRequest.id != null) {
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