I have tried this way in spark
df.withColumn(s"$new_col_name" unix_timestamp(date_col))
I guess I have all the required libraries.
I actually figured out three ways of doing it:
.withColumn("new_col_name", (col("date_col_oftypeString").cast("date")))
.withColumn("new_col_name",lit($"date_col_oftypeString").cast(DateType))
.withColumn("new_col_name", to_date(unix_timestamp($"date_col_oftypeString", "yyyy-MM-dd").cast("timestamp")))
Don't forget to import:
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types.{DateType}
import java.sql.Timestamp
import java.util._
import spark.implicits._
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