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PySpark Examples - How to handle Date and Time in spark - Spark SQL
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Spark SQL functions to handle date and timestamp
- Convert String to Date and Timestamp
- Format Date to String (dd/MM/yyyy, dd/MMM/yyyy, etc)
- Find difference between two dates
- Add number of days to given date
- Subtract number of days from given date
- Extract year, quarter, month, week, day from date
- Extract hour, minute, second from timestamp
#pyspark #spark #python #sparksql #dataframe #date #timestamp #day #week #month #quarter #year #seconds #minutes #hour #dateformat
- Convert String to Date and Timestamp
- Format Date to String (dd/MM/yyyy, dd/MMM/yyyy, etc)
- Find difference between two dates
- Add number of days to given date
- Subtract number of days from given date
- Extract year, quarter, month, week, day from date
- Extract hour, minute, second from timestamp
#pyspark #spark #python #sparksql #dataframe #date #timestamp #day #week #month #quarter #year #seconds #minutes #hour #dateformat
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