case class MaxStringDFMetricCalculator(metricId: String, columns: Seq[String]) extends DFMetricCalculator with Product with Serializable
Calculates maximum string length of processed elements
- metricId
Id of the metric.
- columns
Sequence of columns which are used for metric calculation
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- MaxStringDFMetricCalculator
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- DFMetricCalculator
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val
columns: Seq[String]
- Definition Classes
- MaxStringDFMetricCalculator → DFMetricCalculator
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val
emptyValue: Column
Max string metric calculator should return minimum integer value when DF is empty.
Max string metric calculator should return minimum integer value when DF is empty.
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- MaxStringDFMetricCalculator → DFMetricCalculator
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def
errorConditionExpr(implicit colTypes: Map[String, DataType]): Column
If greatest function returned null, then it is a signal that all values in requested columns of processed row were nulls.
If greatest function returned null, then it is a signal that all values in requested columns of processed row were nulls. Thus, maximum string length couldn't be calculated. This is a metric increment failure.
- colTypes
Map of column names to their datatype.
- returns
Spark row-level expression yielding boolean result.
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- MaxStringDFMetricCalculator → 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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- DFMetricCalculator
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def
errorMessage: String
Metric error message for cases when all requested column values are nulls for processed rows.
Metric error message for cases when all requested column values are nulls for processed rows.
- returns
Metric increment failure message.
- Definition Classes
- MaxStringDFMetricCalculator → 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.
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- 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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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
- MaxStringDFMetricCalculator → DFMetricCalculator
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val
metricName: MetricName
- Definition Classes
- MaxStringDFMetricCalculator → 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 finding maximum string length is simply
maxAggregation function for finding maximum string length is simply
max- Attributes
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- MaxStringDFMetricCalculator → 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
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- DFMetricCalculator
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def
resultExpr(implicit colTypes: Map[String, DataType]): Column
Determines maximum string length for row values in requested columns.
Determines maximum string length for row values in requested columns.
- colTypes
Map of column names to their datatype.
- returns
Spark row-level expression yielding numeric result.
- Attributes
- protected
- Definition Classes
- MaxStringDFMetricCalculator → DFMetricCalculator
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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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synchronized[T0](arg0: ⇒ T0): T0
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