Tag: big_data_interview
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 : 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 : Identify the grouping level in data after performing a group by operation with cube or rollup in PySpark [grouping_id]
pyspark.sql.functions.grouping_id(*cols) This function is valuable when you need to identify the grouping level in data after performing a group by…
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 : 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 : 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…