Category: spark
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PySpark : Reversing the order of strings in a list using PySpark
Lets create a sample data in the form of a list of strings. from pyspark import SparkContext, SparkConf from pyspark.sql…
PySpark : Generating a 64-bit hash value in PySpark
Introduction to 64-bit Hashing A hash function is a function that can be used to map data of arbitrary size…
PySpark : Create an MD5 hash of a certain string column in PySpark.
Introduction to MD5 Hash MD5 (Message Digest Algorithm 5) is a widely used cryptographic hash function that produces a 128-bit…
PySpark : Introduction to BASE64_ENCODE and its Applications in PySpark
Introduction to BASE64_ENCODE and its Applications in PySpark BASE64 is a group of similar binary-to-text encoding schemes that represent binary…
PySpark : Understanding the PySpark next_day Function
Time series data often involves handling and manipulating dates. Apache Spark, through its PySpark interface, provides an arsenal of date-time…
PySpark : Extracting the Month from a Date in PySpark
Working with dates Working with dates and time is a common task in data analysis. Apache Spark provides a variety…
PySpark : Calculating the Difference Between Dates with PySpark: The months_between Function
When working with time series data, it is often necessary to calculate the time difference between two dates. Apache Spark…
PySpark : Retrieving Unique Elements from two arrays in PySpark
Let’s start by creating a DataFrame named freshers_in. We’ll make it contain two array columns named ‘array1’ and ‘array2’, filled…
Extracting Unique Values From Array Columns in PySpark
When dealing with data in Spark, you may find yourself needing to extract distinct values from array columns. This can…
PySpark : Returning an Array that Contains Matching Elements in Two Input Arrays in PySpark
This article will focus on a particular use case: returning an array that contains the matching elements in two input…
