Part 2 | PySpark Coding Interview Question | Add STATIC Columns to DataFrame
Welcome to this PySpark Coding Series where we tackle real-world coding questions and interview-level problems step by step. Whether you're a beginner or prepping for your next data engineering or big data interview, this series is for you!
In this video:
✅ We solve a PySpark coding question
✅ Explain concepts clearly with examples
✅ Share tips and tricks for interviews
📌 Code used in the video is available in the description below.
💡 Don’t forget to pause the video and try solving the question yourself first!
Who is this series for?
Aspiring Data Engineers
PySpark learners
Big Data professionals preparing for interviews
Anyone who wants to improve their problem-solving skills in PySpark
📺 Subscribe to the channel and turn on 🔔 notifications so you don’t miss upcoming questions and concepts.
👇 Let me know in the comments if you have any topics or questions you'd like me to cover!
OPTNGROW:
🔗 Connect with Instructor on LinkedIn: / tulika-gupta-12514723
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CODE:
from pyspark.sql import SparkSession
Create Spark session
spark = SparkSession.builder.appName("AddStaticColumns").getOrCreate()
Sample DataFrame
data = [("Alice", 30), ("Bob", 25)]
df = spark.createDataFrame(data, ["name", "age"])
df.show()
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Documentation Links:
lit Function: https://spark.apache.org/docs/latest/...
current_timestamp:
https://spark.apache.org/docs/latest/...
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#optngrow
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💬 Have a question or doubt? Drop it in the comments below, and I’ll be happy to help or include it in a future video!