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Date Functions in PySpark

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โ€ข2 min read
Date Functions in PySpark
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I am a Tech Enthusiast having 13+ years of experience in ๐ˆ๐“ as a ๐‚๐จ๐ง๐ฌ๐ฎ๐ฅ๐ญ๐š๐ง๐ญ, ๐‚๐จ๐ซ๐ฉ๐จ๐ซ๐š๐ญ๐ž ๐“๐ซ๐š๐ข๐ง๐ž๐ซ, ๐Œ๐ž๐ง๐ญ๐จ๐ซ, with 12+ years in training and mentoring in ๐’๐จ๐Ÿ๐ญ๐ฐ๐š๐ซ๐ž ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐ , ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐ , ๐“๐ž๐ฌ๐ญ ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง ๐š๐ง๐ ๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐œ๐ž. I have ๐’•๐’“๐’‚๐’Š๐’๐’†๐’… ๐’Ž๐’๐’“๐’† ๐’•๐’‰๐’‚๐’ 10,000+ ๐‘ฐ๐‘ป ๐‘ท๐’“๐’๐’‡๐’†๐’”๐’”๐’Š๐’๐’๐’‚๐’๐’” and ๐’„๐’๐’๐’…๐’–๐’„๐’•๐’†๐’… ๐’Ž๐’๐’“๐’† ๐’•๐’‰๐’‚๐’ 500+ ๐’•๐’“๐’‚๐’Š๐’๐’Š๐’๐’ˆ ๐’”๐’†๐’”๐’”๐’Š๐’๐’๐’” in the areas of ๐’๐จ๐Ÿ๐ญ๐ฐ๐š๐ซ๐ž ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ฆ๐ž๐ง๐ญ, ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐ , ๐‚๐ฅ๐จ๐ฎ๐, ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ข๐ฌ, ๐ƒ๐š๐ญ๐š ๐•๐ข๐ฌ๐ฎ๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง๐ฌ, ๐€๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐ข๐š๐ฅ ๐ˆ๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž ๐š๐ง๐ ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐ . I am interested in ๐ฐ๐ซ๐ข๐ญ๐ข๐ง๐  ๐›๐ฅ๐จ๐ ๐ฌ, ๐ฌ๐ก๐š๐ซ๐ข๐ง๐  ๐ญ๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐ค๐ง๐จ๐ฐ๐ฅ๐ž๐๐ ๐ž, ๐ฌ๐จ๐ฅ๐ฏ๐ข๐ง๐  ๐ญ๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐ข๐ฌ๐ฌ๐ฎ๐ž๐ฌ, ๐ซ๐ž๐š๐๐ข๐ง๐  ๐š๐ง๐ ๐ฅ๐ž๐š๐ซ๐ง๐ข๐ง๐  new subjects.

In this article, we will discuss various date functions in PySpark

First, let's create a sample data frame:

from pyspark.sql import SparkSession
from pyspark.sql.functions import *

students = [{'id': '001', 'name': 'Achyut', 'dob': '1985-01-25'},
               {'id': '002', 'name': 'Chinmaya', 'dob': '1985-02-11'},
               {'id': '003', 'name': 'Ashmik', 'dob': '1985-02-02'},
               {'id': '004', 'name': 'Savar', 'dob': '2021-04-12'},
               {'id': '005', 'name': 'Trinabh', 'dob': '1985-01-25'}
               ]

students_df = spark.createDataFrame(students)
students_df.show()

Date Functions

All the pyspark functions are present in the package from pyspark.sql.functions

Reference : https://spark.apache.org/docs/2.4.2/api/python/pyspark.sql.html#module-pyspark.sql.functions

from pyspark.sql.functions import *

year()

This method is used to return the year from the given date.

students_df.select(
    col("dob"),
    year(col("dob")).alias("year")
).show()

month()

This method is used to return the month from the given date.

students_df.select(
    col("dob"),
    month(col("dob")).alias("month")
).show()

datediff()

This method is used to return the number of days between the current date and the given date.

students_df.select(
    current_date(), 
    col("dob"),                     
    datediff(current_date(), col("dob")).alias("days_difference")
).show()

months_between ()

This method is used to return the number of months between the current date and given date.

students_df.select(
    current_date(), 
    col("dob"), 
    months_between(current_date(), col("dob")).alias("months_difference")
).show()

add_months

This method is used to add months to the given date.

students_df.select(
    col("dob"),
    add_months(col("dob"),5).alias("after_5_months")
).show()

date_add

This method is used to add days to the given date.

students_df.select(
    col("dob"),
    date_add(col("dob"), 5).alias("after_5_days")
).show()

date_sub()

This method is used to subtract days to the given date.

students_df.select(
    col("dob"),
    date_sub(col("dob"), 5).alias("before_5_days")
).show()


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