Extracting the Top 3 IDs with the Highest Amount Using Window Functions in Matillion ETL

Discover how to easily get the top 3 IDs with the highest amounts using a window calculation in Matillion ETL. Step-by-step guide included!
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Getting the Top 3 IDs with the Highest Amount in Matillion ETL

In the world of data transformation and analytics, identifying trends and key figures is a common task. One frequent need is the ability to extract specific data points, such as getting the top IDs associated with the highest amounts from a dataset. If you've encountered a situation where you have a table full of valuable data but found it challenging to retrieve the top three entries based on their values, you're not alone.

In this guide, we'll walk you through a clear and effective method to achieve this in Matillion ETL using window functions.

The Problem

Imagine you have a dataset structured like the following table:

idnameamount1jesse192$2sam123$3steve345$4josh234$5hamish452$6john211$7watson111$8amir143$9riaz311$10panag139$Your goal is to extract the IDs of the top three individuals with the highest amounts. The desired output should look like this:

idamount5452$3345$9311$The Solution

To accomplish this, you'll be utilizing the Rank Component in Matillion alongside a window function. Let’s break down the approach:

Step 1: Use the Rank Component

Purpose: This component helps assign a rank to each row based on the specified order (in this case, the amount).

Action:

Select the Rank Component and configure it.

Set the sorting to order by amount in descending order, as you want the highest amounts to receive the lowest rank number.

Step 2: Apply Row Number Window Function

Window Function: You will use the ROW_NUMBER() function to assign a unique row number to each record. This number is determined based on the order we just established.

Action:

In your Rank Component settings, set the window function to ROW_NUMBER().

Step 3: Filter the Results

Purpose: Now that you have an ordered ranking of amounts, you want to filter these results to get only the top three entries.

Action:

Feed the output from the Rank Component into a Filter Component.

Specify a condition to select ranks where row number <= 3.

Summary of Steps

Rank Component: Order by amount (descending).

Row Number Window Function: Apply ROW_NUMBER().

Filter Component: Set condition to retrieve only top three rows.

Conclusion

By following these steps in your Matillion ETL workflow, you can swiftly extract the top three IDs with the highest amounts from your datasets. This technique not only streamlines your data processes but also ensures accuracy in reporting critical figures.

Now that you’re equipped with this powerful approach, you can confidently apply window functions to meet your specific data retrieval needs. Happy data processing!

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