Could not parse trigger for expected trigger type string field but found – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-7.15

Briefly, this error occurs when Elasticsearch is unable to parse the trigger due to an unexpected data type. The trigger type is expected to be a string, but a different data type was found. To resolve this issue, you should check the trigger configuration in your Elasticsearch code. Ensure that the trigger type is correctly defined as a string. If you’re using JSON, make sure the trigger type is enclosed in quotes to denote it as a string. Also, validate your JSON for any syntax errors that might be causing the problem.

This guide will help you check for common problems that cause the log ” could not parse trigger for [{}]. expected trigger type string field; but found [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “could not parse trigger for [{}]. expected trigger type string field; but found [{}]” class name is TriggerService.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 public Trigger parseTrigger(String jobName; XContentParser parser) throws IOException {
 XContentParser.Token token = parser.currentToken();
 assert token == XContentParser.Token.START_OBJECT;
 token = parser.nextToken();
 if (token != XContentParser.Token.FIELD_NAME) {
 throw new ElasticsearchParseException("could not parse trigger for [{}]. expected trigger type string field; but found [{}]";
 jobName; token);
 }
 String type = parser.currentName();
 token = parser.nextToken();
 if (token != XContentParser.Token.START_OBJECT) {

 

 [ratemypost]

Opster
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.