Category: spark

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PySpark : Extract values from JSON strings within a DataFrame in PySpark [json_tuple]

pyspark.sql.functions.json_tuple PySpark provides a powerful function called json_tuple that allows you to extract values from JSON strings within a DataFrame….

PySpark @ Freshers.in

PySpark : Finding the cube root of the given value using PySpark

The pyspark.sql.functions.cbrt(col) function in PySpark computes the cube root of the given value. It takes a column as input and…

PySpark @ Freshers.in

PySpark : Calculating the exponential of a given column in PySpark [exp]

PySpark offers the exp function in its pyspark.sql.functions module, which calculates the exponential of a given column. In this article,…

PySpark @ Freshers.in

PySpark : An Introduction to the PySpark encode Function

PySpark provides the encode function in its pyspark.sql.functions module, which is useful for encoding a column of strings into a…

PySpark @ Freshers.in

PySpark : Subtracting a specified number of days from a given date in PySpark [date_sub]

In this article, we will delve into the date_sub function in PySpark. This versatile function allows us to subtract a…

PySpark @ Freshers.in

PySpark : A Comprehensive Guide to PySpark’s current_date and current_timestamp Functions

PySpark enables data engineers and data scientists to perform distributed data processing tasks efficiently. In this article, we will explore…

PySpark @ Freshers.in

PySpark : Exploring PySpark’s joinByKey on RDD : A Comprehensive Guide

In PySpark, join operations are a fundamental technique for combining data from two different RDDs based on a common key….