fix(JSONValidator): make JSONValidator thread-safe for parallel spec validation#95
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…t directory enumeration in historical CDC snapshot - _list_files now tries dbutils.fs.ls() first; falls back to Spark binaryFile on any exception (e.g. Py4JSecurityException in Serverless with Restricted Access / SEG) - Fix bug where dbutils.fs().ls() was called with parentheses on fs - binaryFile fallback stops at .parquet directories and deduplicates part files so each snapshot version is counted once - dbutils path also guards against recursing into .parquet directories (trailing "/" stripped before the endswith check)
Use a per-thread RefResolver and Draft7Validator so concurrent validate() calls from DataflowSpecBuilder and SpecMapper do not corrupt jsonschema ref resolution (e.g. KeyError on definitions/views). Reuse the resolver on each thread to keep referenced schema files cached after the first load on that worker.
haillew
approved these changes
Jun 1, 2026
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Use a per-thread RefResolver and Draft7Validator so concurrent validate() calls from DataflowSpecBuilder and SpecMapper do not corrupt jsonschema ref resolution (e.g. KeyError on definitions/views).
Reuse the resolver on each thread to keep referenced schema files cached after the first load on that worker.