Filter Rows with a Condition

PYSPARK coding challenge · Difficulty: easy · Topic: DataFrame Basics · +50 XP

Problem

Return only the employees with salary greater than 55000. Keep all columns.

Example Input - `employees`

| name | city | salary |
| --- | --- | --- |
| Asha | Pune | 50000 |
| Ravi | Delhi | 62000 |
| Meera | Pune | 58000 |

Expected Output

| name | city | salary |
| --- | --- | --- |
| Ravi | Delhi | 62000 |
| Meera | Pune | 58000 |

Notes

• The DataFrame is created for you - do not recreate it
• Build a DataFrame called df_result and finish with df_result.show()

What this PYSPARK challenge teaches you

“Filter Rows with a Condition” is a easy-level PYSPARK challenge focused on DataFrame Basics. Working through it gives you hands-on practice with beginner — the kind of transformation you are asked to write in real data engineering work and in technical interviews. You can solve it directly in the browser: the dataset is pre-loaded, so you write the query or DataFrame code, run it, and compare your output against the expected result immediately.

Concepts covered

• beginner

How to approach it

If you get stuck, work through these steps in order before looking at a full solution — each one narrows the problem down:

1. filter() keeps the rows a condition is true for. Build the condition with col().
2. from pyspark.sql.functions import col, then employees.filter(col('salary') > 55000).

How to practise it on PySpark.in

Open the challenge, write your PySpark code in the editor and press Run to execute it against the sample dataset. Submitting checks your output against every test case, including hidden ones, so you find out straight away whether your logic holds up. You can retry as often as you like, and each solved challenge adds to your XP.

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Frequently asked questions

Do I need to install Spark or a database to solve this?

No. The PYSPARK environment runs in your browser with the sample data already loaded, so there is nothing to install or configure.

Is this challenge free?

Yes - the problem, the sample dataset, the hints and unlimited test runs are free.

What level is it?

It is rated easy and covers DataFrame Basics.

Solve this challenge free on PySpark.in