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generate plan for normalization (Python + PostgreSQL) 1. Enter: a simple SQL table, with a possible PK provided as parameter. That is, assume you imported a CSV or textual content file without the need of assurance the desk has a sound PK. In this unique HW edition the table won't have nulls. two. PK: it's essential to validate In the event the desk PK is without a doubt valid. The PK might be composite and can have up 2 to attributes. You're not envisioned to find a PK If your given PK is invalid. With this certain HW version the PK will not likely have nulls. 3. FDs: your application should compute all probable purposeful dependencies thinking about the max number of columns during the PK and nonkey columns.
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