Explain Pyspark code execution flow Explaing Project architecture Explaing Narrow vs Wide transformation Query to find second highest salary

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Pyspark code execution flow involves transformations and actions, project architecture includes components like data sources and processing, narrow transformations operate on a single partition while wide transformations shuffle data, query for second highest salary involves using window functions.

Pyspark code execution flow involves defining transformations and actions on RDDs or DataFrames.
Project architecture typically includes components like data sources, processing logic, and storage solutions.
Narrow transformations operate on a single partition without shuffling data, while wide transformations involve shuffling data across partitions.
Query to find second highest salary can be achieved using window functions like ROW_NUMBER() in SQL.

Explain Pyspark code execution flow Explaing Project architecture Explaing Narrow vs Wide transformation Query to find second highest salary

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