pyspark-date-validator 0.2.2

A PySpark package to check missing dates in tables

Date Validator PySpark

A PySpark utility for validating date completeness in tables.

Installation

pip install pyspark-date-validator

Example Usage

Validating Multiple Tables with MultipleTablesValidator

Run checks across multiple tables and raise an error if any have missing dates.

from date_validator import MultipleTablesValidator

# Define table configurations
table_configs = [
    {"table_name": "table1", "start_date": "2023-01-01", "end_date": "2023-01-05", "frequency": "daily"},
    {"table_name": "table2", "start_date": "2023-01-01", "end_date": "2023-03-31", "frequency": "monthly"}
]

# Run validation
validator = MultipleTablesValidator(table_configs)
validator.run_checks()
# Output:
# Missing dates in table 'table1' (daily):
# +----------+
# |  as_at_dt|
# +----------+
# |2023-01-02|
# |2023-01-04|
# |2023-01-05|
# +----------+
# Missing dates in table 'table2' (monthly):
# +----------+
# |  as_at_dt|
# +----------+
# |2023-02-28|
# +----------+
# ValueError: Missing dates detected in one or more tables.