array in databricks

Vineet S 1,090 Reputation points
2024-06-25T08:20:36.5333333+00:00

Hi ,

I got the 1st row in sorted order how can i get the view on row1,row2,row3 using array and how the reshuffling will happen

1,2,3,4,5  --- sorted order

 

5,1,2,3,4  - 1

4,5,1,2,3  - 2

3,4,5,1,2  - 3

Azure Databricks
Azure Databricks
An Apache Spark-based analytics platform optimized for Azure.
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  1. Sina Salam 12,491 Reputation points
    2024-06-25T09:47:55.3566667+00:00

    Hello Vineet S,

    Welcome to the Microsoft Q&A and thank you for posting your questions here.

    Problem

    I understand that you the challenges you're having is a 2-Dimensional Array in Databricks where each row is a reshuffled version of the previous row, starting from a sorted array.

    Solution

    To solve this, ensure you have a PySpark session running in Databricks. Then, you can follow these steps:

    # Step 1: Create the initial sorted array
    initial_array = [1, 2, 3, 4, 5]
    # Function to generate the reshuffled arrays
    def reshuffle_array(array, steps):
        return array[steps:] + array[:steps]
    # Step 2: Generate the reshuffled rows
    reshuffled_rows = [reshuffle_array(initial_array, i) for i in range(5)]
    # Convert to a PySpark DataFrame
    columns = ["col1", "col2", "col3", "col4", "col5"]
    df = spark.createDataFrame(reshuffled_rows, schema=columns)
    # Step 3: Display the DataFrame
    display(df)
    

    The outcome is:

    +----+----+----+----+----+
    |col1|col2|col3|col4|col5|
    +----+----+----+----+----+
    |   1|   2|   3|   4|   5|
    |   5|   1|   2|   3|   4|
    |   4|   5|   1|   2|   3|
    |   3|   4|   5|   1|   2|
    |   2|   3|   4|   5|   1|
    +----+----+----+----+----+
    

    This generate a DataFrame with the reshuffled rows as specified:

    Accept Answer

    I hope this is helpful! Do not hesitate to let me know if you have any other questions.

    ** Please don't forget to close up the thread here by upvoting and accept it as an answer if it is helpful ** so that others in the community facing similar issues can easily find the solution.

    Best Regards,

    Sina Salam

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