Failed to parse object: Expected START_OBJECT but was: – How to solve this Elasticsearch error

Opster Team

July-20, Version: 1.7-8.0

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.

Briefly, this error message typically indicates that Elasticsearch received an invalid request from a client that could not be parsed correctly. This could be caused by incorrect syntax or an incompatible API version, among other things. To resolve this issue, double-check the syntax of the request and ensure that the correct API version is being used.

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 object: Expected START_OBJECT but was: ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: rest-high-level and client.


Log Context

Log “Failed to parse object: Expected START_OBJECT but was:”classname  is GroupConfig.java We extracted the following from Elasticsearch source code for those seeking an in-depth context :

// be parsing friendly; whether the token needs to be advanced or not (similar to what ObjectParser does)
 XContentParser.Token token;
 if (parser.currentToken() != XContentParser.Token.START_OBJECT) {
 token = parser.nextToken();
 if (token != XContentParser.Token.START_OBJECT) {
 throw new ParsingException(parser.getTokenLocation(); "Failed to parse object: Expected START_OBJECT but was: " + token);
 }
 } 
 while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
 ensureExpectedToken(XContentParser.Token.FIELD_NAME; token; parser::getTokenLocation);

 

See how you can use AutoOps to resolve issues


How helpful was this guide?

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?

Analyze your cluster & get personalized recommendations

Skip to content