Mastering Big Data with PySpark/

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Solution: Optimizing PySpark DataFrame Operations

Solution: Optimizing PySpark DataFrame Operations

The solution to the coding exercise for optimizing PySpark transformations and actions.

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Tasks

Task 1: Review and analyze existing code

  1. Create a SparkSession object and load the orders.csv dataset.
  2. Execute the code snippet to ensure it runs without errors.
  3. Thoroughly review and analyze the provided code snippet, identifying any potential areas for optimization.

Solution for task 1:

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Python 3.8
Files

Task 2: Code optimization

In this task, our challenge is to optimize the code to achieve the same results as Task 1 while eliminating unnecessary computations and improving efficiency.

After carefully reviewing and executing the code correctly, modify the code to eliminate unnecessary computations and optimize transformations and actions related to the following tasks:

  • Filtering orders based on specific cuisine types.
  • Aggregating orders by “customer ID” and calculating the total order amount.
  • Applying filters to identify customers with a total order amount exceeding a predefined threshold.
  • Determining the count of
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