pyspark.sql.functions.date_add The date_add function in PySpark is used to add a specified number of days…
Tag: big_data_interview
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 : 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…
Hive : Different types of file formats supported by Hive
Apache Hive supports a variety of file formats to store and process data. These file formats can be categorized into…
Hive : Exploring Different Types of User-Defined Functions (UDFs) in Hive
In addition to its built-in functions, Hive also supports User-Defined Functions (UDFs), which enable users to extend Hive’s functionality by…
Hive : Understanding the MAPJOIN Operator in Hive with an Example
When dealing with large datasets, optimizing join operations is crucial to improving query performance. One of the techniques to achieve…
Hive : Understanding the DISTRIBUTE BY Operator in Hive with an Example
One of the key features of Hive is its ability to optimize queries for improved performance. The DISTRIBUTE BY operator…
PySpark : Understanding the ‘take’ Action in PySpark with Examples. [Retrieves a specified number of elements from the beginning of an RDD or DataFrame]
In this article, we will focus on the ‘take’ action, which is commonly used in PySpark operations. We’ll provide a…
Sort Merge Bucket Join in Hive: A Comprehensive Guide
Sort Merge Bucket (SMB) join is an optimization technique in Apache Hive that helps improve the performance of join operations….
Hive : Map-side join – A technique used in Hive to join large datasets efficiently.
Map-side join is a technique used in Hive to join large datasets efficiently. It is a type of join that…
PySpark : Exploring PySpark’s joinByKey on DataFrames: [combining data from two different DataFrames] – A Comprehensive Guide
In PySpark, join operations are a fundamental technique for combining data from two different DataFrames based on a common key….