Advanced PySpark DataFrame Operations

Get an overview of advanced PySpark DataFrame operations.

Advanced PySpark DataFrame operations enable us to perform complicated tasks. They are broadly divided into joins and Window functions. Let’s understand these now.


Joins are used to combine two or more PySpark DataFrames based on a common column or set of columns. The common column(s) are used to match the rows from the two DataFrames, and the result is a new DataFrame that contains columns from both DataFrames. PySpark supports several types of joins, including inner join, outer join, left join, right join, and semi-join.

Here’s an example of how to perform joins between two DataFrames:

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