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Updated currentdate.py to covert the string date type to spark date type #17

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Updated currentdate.py to covert the string date type to spark date type #17

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21 changes: 13 additions & 8 deletions currentdate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,21 +3,26 @@
Created on Thu Oct 24 22:42:50 2019

@author: prabha

Modified on Wed Feb 21 2024
@author: Shahid

"""

import pyspark
from pyspark.sql import SparkSession
from pyspark.sql.functions import col
from pyspark.sql.functions import to_timestamp, current_timestamp
from pyspark.sql.types import StructType, StructField, StringType, IntegerType, LongType
from pyspark.sql.types import DateType
from pyspark.sql.functions import to_date

spark = SparkSession.builder.appName('SparkByExamples.com').getOrCreate()

schema = StructType([
StructField("seq", StringType(), True)])
# Sample data with a string column representing dates
data = [("1/12/2023",), ("2/15/2023",), ("3/20/2023",)]
columns = ["date_str"]

dates = ['1']
df = spark.createDataFrame(data, columns)

df = spark.createDataFrame(list('1'), schema=schema)
# Convert the string column to a DateType
df = df.withColumn("date", to_date("date_str", "M/d/yyyy").cast(DateType()))

df.show()
df.show()