How do we calculate total order volume across an entire dataset using the count() aggregate function?
count('*') calculates the total number of records in the DataFrame as a distributed aggregation.
Batch reconciliation, logging dataset size metrics, and validating completeness against source systems.
from pyspark.sql.functions import count
df.select(count("*").alias("total_orders")).show()Practice typing production-grade PySpark code for Counting Rows with count().