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PYSPARK โ€ข LESSON 33

Row Filtering with filter()

How do we isolate completed transactions from an orders dataset using Column boolean conditions?

Beginnerโฑ 2 Minutesโญ 170 XP
๐Ÿค” THE QUESTION

How do we isolate completed transactions from an orders dataset using Column boolean conditions?

๐Ÿ’ก WHAT IS IT?

filter() evaluates a boolean condition on each row, keeping only records where the condition evaluates to True.

๐ŸŽฏ WHAT IS IT USED FOR?

Filtering data streams, isolating active entities, and discarding cancelled or inactive records.

๐Ÿ’ป EXAMPLE
from pyspark.sql.functions import col

df.filter(col("status") == "COMPLETED").show()

๐ŸŽฏ Mission Objectives

Practice typing production-grade PySpark code for Row Filtering with filter().

  • โœ“ Use filter() with equality check
  • โœ“ Reference column with col()
  • โœ“ Filter completed orders