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Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

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Data pipelines & processing medium

Check Null Rate Threshold in PySpark DataFrame

This PySpark code checks the null rate of specified DataFrame columns against a threshold and returns violations.

pyspark data quality null check
Python 
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, sum, count

def check_null_rate(df, threshold=0.2, columns=None):
    """
    Check null rate for specified columns (or all) against a threshold.
    Returns columns that exceed the threshold.
    """
    cols = columns or df.columns
    total…
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