case class ColumnEqDFMetricCalculator(metricId: String, columns: Seq[String], reversed: Boolean) extends MultiColumnConditionalDFCalculator with Product with Serializable
Calculates amount rows where elements in the given columns are equal
- metricId
Id of the metric.
- columns
Sequence of columns which are used for metric calculation
- reversed
Boolean flag indicating whether error collection logic should be reversed for this metric
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- ColumnEqDFMetricCalculator
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- Product
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- MultiColumnConditionalDFCalculator
- ReversibleDFCalculator
- DFMetricCalculator
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val
columns: Seq[String]
- Definition Classes
- ColumnEqDFMetricCalculator → DFMetricCalculator
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val
emptyValue: Column
Value which is returned when metric result is null.
Value which is returned when metric result is null.
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- Definition Classes
- MultiColumnConditionalDFCalculator → DFMetricCalculator
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final
def
eq(arg0: AnyRef): Boolean
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def
errorConditionExpr(implicit colTypes: Map[String, DataType]): Column
Spark expression yielding boolean result for processed row.
Spark expression yielding boolean result for processed row. Indicates whether metric increment failed or not.
- colTypes
Map of column names to their datatype.
- returns
Spark row-level expression yielding boolean result.
- Attributes
- protected
- Definition Classes
- MultiColumnConditionalDFCalculator → DFMetricCalculator
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def
errorExpr(rowData: Column)(implicit colTypes: Map[String, DataType]): Column
Error collection expression: collects row data in case of metric error.
Error collection expression: collects row data in case of metric error.
- rowData
Array of row data from columns related to this metric calculator (source keyFields + metric columns + window start time column for streaming applications)
- colTypes
Map of column names to their datatype.
- returns
Spark expression that will yield row data in case of metric error.
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- protected
- Definition Classes
- DFMetricCalculator
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def
errorMessage: String
For direct error collection logic rows where string values in requested columns are not equal are considered as metric failure For reverses error collection logic rows where string values in requested columns ARE equal are considered as metric failure
For direct error collection logic rows where string values in requested columns are not equal are considered as metric failure For reverses error collection logic rows where string values in requested columns ARE equal are considered as metric failure
- returns
Metric increment failure message.
- Definition Classes
- ColumnEqDFMetricCalculator → DFMetricCalculator
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def
errors(implicit errorDumpSize: Int, keyFields: Seq[String], colTypes: Map[String, DataType]): Column
Final metric errors aggregation expression.
Final metric errors aggregation expression. Collects all metric errors into an array column. The size of array is limited by maximum allowed error dump size parameter.
- errorDumpSize
Maximum allowed number of errors to be collected per single metric.
- keyFields
Sequence of source/stream key fields.
- colTypes
Map of column names to their datatype.
- returns
Spark expression that will yield array of metric errors.
- Definition Classes
- DFMetricCalculator
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val
errorsCol: String
Name of the column that will store metric errors
Name of the column that will store metric errors
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- DFMetricCalculator
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def
metricCondExpr: Column
Create spark expression which checks if string representation of values in requested columns is the same i.e.
Create spark expression which checks if string representation of values in requested columns is the same i.e. columns are equal.
- Attributes
- protected
- Definition Classes
- ColumnEqDFMetricCalculator → MultiColumnConditionalDFCalculator
- Note
Check is not null safe, i.e. if at least one value in requested columns is null, than metric condition will not be met.
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val
metricId: String
Unlike RDD calculators, DF calculators are not groped by its type.
Unlike RDD calculators, DF calculators are not groped by its type. For each metric defined in DQ job, there will be created its own instance of DF calculator. Thus, DF metric calculators can be linked to metric definitions by metricId.
- Definition Classes
- ColumnEqDFMetricCalculator → DFMetricCalculator
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val
metricName: MetricName
- Definition Classes
- ColumnEqDFMetricCalculator → DFMetricCalculator
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def
result(implicit colTypes: Map[String, DataType]): Column
Final metric aggregation expression that MUST yield double value.
Final metric aggregation expression that MUST yield double value.
- colTypes
Map of column names to their datatype.
- returns
Spark expression that will yield double metric calculator result
- Definition Classes
- DFMetricCalculator
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val
resultAggregateFunction: (Column) ⇒ Column
Aggregation function for all conditional metrics is just a summation.
Aggregation function for all conditional metrics is just a summation.
- Attributes
- protected
- Definition Classes
- MultiColumnConditionalDFCalculator → DFMetricCalculator
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val
resultCol: String
Name of the column that will store metric result
Name of the column that will store metric result
- Definition Classes
- DFMetricCalculator
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def
resultExpr(implicit colTypes: Map[String, DataType]): Column
Spark expression yielding numeric result for processed row.
Spark expression yielding numeric result for processed row. Metric will be incremented with this result using associated aggregation function.
- colTypes
Map of column names to their datatype.
- returns
Spark row-level expression yielding numeric result.
- Attributes
- protected
- Definition Classes
- MultiColumnConditionalDFCalculator → DFMetricCalculator
- Note
Spark expression MUST process single row but not aggregate multiple rows.
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val
reversed: Boolean
- Attributes
- protected
- Definition Classes
- ColumnEqDFMetricCalculator → ReversibleDFCalculator
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def
rowDataExpr(keyFields: Seq[String]): Column
Row data collection expression: collects values of selected columns to array for row where metric error occurred.
Row data collection expression: collects values of selected columns to array for row where metric error occurred.
- keyFields
Sequence of source/stream key fields.
- returns
Spark expression that will yield array of row data for column related to this metric calculator.
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- protected
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- DFMetricCalculator
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