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 ” expected field ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: percolator.
Log Context
Log “expected field [“classname is PercolateQueryBuilder.java We extracted the following from Elasticsearch source code for those seeking an in-depth context :
if (fieldType == null) {
throw new QueryShardException(context; "field [" + field + "] does not exist");
}
if (!(fieldType instanceof PercolatorFieldMapper.PercolatorFieldType)) {
throw new QueryShardException(context; "expected field [" + field +
"] to be of type [percolator]; but is of type [" + fieldType.typeName() + "]");
}
final List docs = new ArrayList<>();
final DocumentMapper docMapper;
