Solve LeetCode SQL Questions in PySpark

If you're preparing for a data engineering or analytics interview, chances are you've practiced SQL problems on platforms like LeetCode. But interviews (and real-world data tasks) often involve PySpark code - not just SQL.

🛠️ Tools You’ll Need

We’ll use:

• LeetCode SQL questions as our source
• ChatGPT to generate starter DataFrame code
• Spark Playground - a free online PySpark compiler to run and test PySpark instantly

Let's see how we can go about solving this popular problem in PySpark:

Just copy the table and use ChatGPT to generate the starter code :

Generate a starter code in PySpark to create this DataFrame - (paste the table here)

Just copy the code and run the code in the PySpark Online Compiler here.

And from here, you can begin solving the problems in PySpark.

🧑‍💻 Try It Yourself

Here are some more LeetCode SQL problems you can try translating to PySpark:

• Department Highest Salary
• Second Highest Salary
• Employees With Missing Information

Use ChatGPT to generate starter code, then solve and test them in Spark Playground.

🧠 Final Thoughts

Translating SQL to PySpark using ChatGPT is an excellent way to sharpen your PySpark skills and prepare for real-world data engineering interviews.

So next time you solve a SQL question, take it a step further - write the PySpark version, run it on Spark Playground, and master both worlds.