#PySpark_UDF_with_the_help_of_an_example👉 👉 👉 The most important aspect of Spark SQL & DataFrame is PySpark UDF (i.e., User Defined Function), which is used to expand PySpark's built-in capabilities. UDFs in PySpark work similarly to UDFs in conventional databases.✍ We write a Python function and wrap it in PySpark SQL udf() or register it as udf and... Continue Reading →

#ScenarioThere are two ways to handle row duplication in PySpark dataframes. The distinct() function in PySpark is used to drop/remove duplicate rows (all columns) from a DataFrame, while dropDuplicates() is used to drop rows based on one or more columns. Here’s an example showing how to utilize the distinct() and dropDuplicates() methods- First, we need... Continue Reading →