Error log: This is a low-level error that means the JSON you sent in your request body is broken.
JSON
None
{
"error": {
"root_cause": [
{
"type": "x_content_parse_exception",
"reason": "[1:30] [my_index]
Unexpected character ('\"' (code 34)):
was expecting a colon to separate field name and value",
"line": 1,
"col": 30
}
],
"type": "x_content_parse_exception",
// ...
},
"status": 400
}
Why… is this happening? This is not an OpenSearch logic error; it’s a JSON syntax error. The OpenSearch parser (called XContent) tried to read your request body but failed because the JSON itself is invalid.
This is different from ParsingException (Blog #14), which is for valid JSON but invalid query logic. This error means the JSON itself is malformed.
The error message is extremely helpful:
[1:30]: The error is online: 1,column: 30.Unexpected character ('"'): It found a"character.was expecting a colonIt wanted a : character.
This means you probably wrote something like {"my_field" "my_value"} instead of {"my_field": "my_value"}.
Other common causes:
- A trailing comma after the last item in a list or object.
- A missing comma between items.
- Using single quotes (‘) instead of the required double quotes (“).
Best Practice:
- Use a JSON linter: This is the fastest fix. Copy the entire JSON request body and paste it into a “JSON Linter” or “JSON Validator” website. It will instantly highlight the syntax error.
- Read the error message: The
line,col, andreasontell you exactly where to look and what’s wrong. - Use dashboards dev tools: When building queries, use the Dev Tools console. It has built-in JSON validation and will show a red
Xnext to the line with a syntax error before you even send the request. - Use a JSON library: If you are building JSON in your application, do not build it by concatenating strings. Use a proper library (like
gson,jackson,json.dumps) to serialize your objects. This guarantees valid JSON every time.
What else can I do? Still can’t see the typo? It happens to everyone. Paste your JSON request into the OpenSearch community forums, and a fresh pair of eyes will likely spot it immediately. For direct help, contact us in The OpenSearch Slack Channel in #General.