Spark SQL - Date and Timestamp Functions
Spark SQL handles three temporal data types: date (calendar date without time), timestamp (instant in time with timezone), and timestamp_ntz (timestamp without timezone, Spark 3.4+).
Timestamp
Pandas - Convert Timestamp to Date
• Pandas provides multiple methods to convert timestamps to dates: dt.date, dt.normalize(), and dt.floor(), each serving different use cases from extracting date objects to maintaining…