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PYSPARK • LESSON 59

Parsing Date Strings with to_date()

How do we convert raw string date formats into proper Spark DateType columns?

Intermediate2 Minutes320 XP
🤔 THE QUESTION

How do we convert raw string date formats into proper Spark DateType columns?

💡 WHAT IS IT?

to_date(col, format) parses string expressions into native DateType objects using Java SimpleDateFormat patterns.

🎯 WHAT IS IT USED FOR?

Converting raw CSV/JSON date strings to typed columns enabling date math and partition pruning.

💻 EXAMPLE
from pyspark.sql.functions import col, to_date

df = df.withColumn("order_date", to_date(col("date_str"), "yyyy-MM-dd"))

🎯 Mission Objectives

Practice typing production-grade PySpark code for Parsing Date Strings with to_date().

  • Import to_date function
  • Specify explicit date format pattern
  • Cast string to native DateType