Classes¶
spark_expectations.utils.regulate_flow.SparkExpectationsRegulateFlow(product_id: str)
dataclass
¶
This is helper class and implements/supports running data quality flow
Attributes¶
product_id: str
instance-attribute
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Functions¶
execute_dq_process(_context: SparkExpectationsContext, _actions: SparkExpectationsActions, _writer: SparkExpectationsWriter, _notification: SparkExpectationsNotify, expectations: Dict[str, List[dict]], table_name: str, _input_count: int = 0) -> Any
staticmethod
¶
This functions takes required static variable and returns the function Args: _context: SparkExpectationsContext class object _actions: SparkExpectationsActions class object _writer: SparkExpectationsWriter class object _notification: SparkExpectationsNotify class object expectations: expectations dictionary which contains rules table_name: name of the table _input_count: number of records in the source dataframe Returns: Any: returns function
Source code in spark_expectations/utils/regulate_flow.py
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