How do we convert raw string date formats into proper Spark DateType columns?
to_date(col, format) parses string expressions into native DateType objects using Java SimpleDateFormat patterns.
Converting raw CSV/JSON date strings to typed columns enabling date math and partition pruning.
from pyspark.sql.functions import col, to_date
df = df.withColumn("order_date", to_date(col("date_str"), "yyyy-MM-dd"))Practice typing production-grade PySpark code for Parsing Date Strings with to_date().