Trino is an open-source distributed SQL query engine designed for running interactive analytic queries against data sources of all sizes. It is particularly useful for querying large datasets across multiple data sources, providing a unified interface for data analysis. Trino supports a wide range of data sources, including Hadoop, NoSQL, and traditional RDBMS systems.
When working with Trino, you may encounter the INVALID_JSON error. This error typically occurs when Trino attempts to process JSON data that is malformed or does not adhere to the JSON standard. The error message might look something like this:
Query failed: INVALID_JSON: The JSON data is invalid or malformed.
The INVALID_JSON error indicates that the JSON data being processed is not correctly formatted according to the JSON specification. JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. However, it requires strict adherence to its syntax rules, such as proper use of commas, colons, and brackets.
To resolve the INVALID_JSON error, follow these steps:
Use a JSON validator tool to check the syntax of your JSON data. Online tools like JSONLint can help identify syntax errors and suggest corrections.
Once you have identified the syntax errors, manually correct them in your JSON data. Ensure that all keys and string values are enclosed in double quotes, and that all arrays and objects are properly closed with matching brackets or braces.
After making corrections, re-validate the JSON data using the validator tool to ensure no errors remain. This step is crucial to confirm that the JSON is now valid.
With the corrected JSON data, re-run your Trino query. If the JSON is valid, the INVALID_JSON error should no longer occur.
For more information on working with JSON in Trino, refer to the Trino JSON Functions Documentation. This resource provides detailed guidance on using JSON functions within Trino queries.
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