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Basic pyspark data quality checks

Allie Ubisse answered on January 5, 2024 Popularity 1/10 Helpfulness 1/10

answer Basic pyspark data quality checks

Basic pyspark data quality checks

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from pyspark.sql import SparkSession
from pyspark.sql import functions as F
from pyspark.sql.window import Window

def perform_data_quality_checks(input_df):
    """
    Perform basic data quality checks on a PySpark DataFrame.

    Args:
        input_df (pyspark.sql.DataFrame): Input DataFrame for data quality checks.

    Returns:
        pyspark.sql.DataFrame: DataFrame with additional columns indicating data quality test results.
    """
    # Initialize Spark session (if not already created)
    spark = SparkSession.builder.getOrCreate()

    # Create a copy of the input DataFrame to store data quality test results
    output_df = input_df

    # Uniqueness Check
    for column in input_df.columns:
        output_df = output_df.withColumn(f"{column}_is_unique", F.count(column).over(Window.partitionBy(column)).alias(f"{column}_count") == 1)

    # Completeness Check
    for column in input_df.columns:
        output_df = output_df.withColumn(f"{column}_is_complete", F.col(column).isNotNull())

    # Data Coverage Check
    for column in input_df.columns:
        total_records = input_df.count()
        output_df = output_df.withColumn(f"{column}_data_coverage", F.count(column).over(Window.partitionBy(column)).alias(f"{column}_count") / total_records)

    # Constraint Checks (Example: Checking if a numerical column is greater than 0)
    constraint_checks = [
        (F.col("numerical_column") > 0).alias("numerical_column_positive"),
        # Add more constraint checks as needed
    ]
    output_df = output_df.withColumn("constraint_checks", F.struct(*constraint_checks))

    return output_df

# Example Usage:
# Assuming `spark` is your SparkSession and `input_data` is your input DataFrame
# output_data = perform_data_quality_checks(input_data)

Popularity 1/10 Helpfulness 1/10 Language python

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Tags: basic data-quality pyspark python

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Contributed on Jan 05 2024

Allie Ubisse

0 Answers Avg Quality 2/10

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