Briefly, this error occurs when Elasticsearch encounters an issue but the error message provided is too generic to identify the exact problem. It could be due to a variety of reasons such as incorrect query syntax, insufficient memory, or connectivity issues. To resolve this, you can check the Elasticsearch logs for more detailed error messages. Ensure that your queries are correctly formatted, the Elasticsearch cluster has enough memory, and the network connectivity is stable. Also, consider upgrading Elasticsearch to the latest version to benefit from bug fixes and improvements.
This guide will help you check for common problems that cause the log ” error ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: .
Log Context
Log “error” class name is SimulatePipelineResponse.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
} else if (token.equals(Token.START_OBJECT)) {
switch (fieldName) {
case WriteableIngestDocument.DOC_FIELD -> result = new SimulateDocumentBaseResult(
WriteableIngestDocument.INGEST_DOC_PARSER.apply(parser; null).getIngestDocument()
);
case "error" -> result = new SimulateDocumentBaseResult(ElasticsearchException.fromXContent(parser));
default -> parser.skipChildren();
}
} // else it is a value skip it
}
assert result != null;
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