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Problem statement

Validating ingested JSON is a common requirement for many ETL scenarios. Deserialization and other downstream processing are often broken when JSON is malformed or missing expected fields

Proposed Solution

Add several built-in check functions to validate JSON strings:

• is_valid_json to detect the validity of a JSON string
• has_json_keys to detect if 1 or more keys are present in a JSON string
• has_json_schema to detect if a JSON string matches an expected Spark DDL schema

Additional Context

No response