Briefly, this error occurs when Elasticsearch tries to parse an empty string as a date. This usually happens when a document with a date field is indexed, but the date field is empty or null. To resolve this issue, you can either ensure that all date fields in your documents are properly filled with valid date values before indexing, or you can set the “ignore_malformed” option to true in your index settings to ignore such errors. However, the latter option may lead to missing or incorrect data in your index.
This guide will help you check for common problems that cause the log ” cannot parse empty date ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: .
Log Context
Log “cannot parse empty date” class name is JavaDateMathParser.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
return dateTime.toInstant();
} private Instant parseDateTime(String value; ZoneId timeZone; boolean roundUpIfNoTime) {
if (Strings.isNullOrEmpty(value)) {
throw new ElasticsearchParseException("cannot parse empty date");
} DateFormatter formatter = roundUpIfNoTime ? this.roundupParser : this.formatter;
try {
if (timeZone == null) {
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