Start object expected index indexName – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-7.9

Before you dig into reading this guide, have you tried asking OpsGPT what this log means? You’ll receive a customized analysis of your log.

Try OpsGPT now for step-by-step guidance and tailored insights into your Elasticsearch operation.

Briefly, this error occurs when Elasticsearch expects a start object in the JSON request body but doesn’t find one. This is usually due to incorrect JSON formatting or syntax. To resolve this issue, you can: 1) Check the JSON request body for any syntax errors or missing brackets. 2) Validate your JSON using a JSON validator tool. 3) Ensure that the JSON request body starts with a ‘{‘ (start object) and ends with a ‘}’ (end object).

For a complete solution to your to your search operation, try for free AutoOps for Elasticsearch & OpenSearch . With AutoOps and Opster’s proactive support, you don’t have to worry about your search operation – we take charge of it. Get improved performance & stability with less hardware.

This guide will help you check for common problems that cause the log ” start object expected index[” + indexName + “] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: repositories, index.

Log Context

Log “start object expected index[” + indexName + “]” class name is We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 final List snapshotIds = new ArrayList<>();
 final List gens = new ArrayList<>();  IndexId indexId = null;
 if (parser.nextToken() != XContentParser.Token.START_OBJECT) {
 throw new ElasticsearchParseException("start object expected index[" + indexName + "]");
 while (parser.nextToken() != XContentParser.Token.END_OBJECT) {
 final String indexMetaFieldName = parser.currentName();
 if (INDEX_ID.equals(indexMetaFieldName)) {


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?

Get expert answers on Elasticsearch/OpenSearch