- java.lang.Object
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- com.pervasive.datarush.operators.AbstractLogicalOperator
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- com.pervasive.datarush.operators.StreamingOperator
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- com.pervasive.datarush.operators.ExecutableOperator
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- com.pervasive.datarush.operators.assertion.AssertEqual
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- All Implemented Interfaces:
LogicalOperator
public class AssertEqual extends ExecutableOperator
Verifies that actual rows are equal to expected rows. Used in operator unit testing.
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Constructor Summary
Constructors Constructor Description AssertEqual()
Construct the operator with default property values.AssertEqual(FloatingPointTolerance errorTolerance, int logFrequency)
Construct the operator with the given property values.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected void
computeMetadata(StreamingMetadataContext ctx)
Implementations must adhere to the following contractsprotected void
execute(ExecutionContext context)
Executes the operator.RecordPort
getActualInput()
Get the actual input data port.FloatingPointTolerance
getErrorTolerance()
Get the error tolerance property for floating point values.RecordPort
getExpectedInput()
Get the expected input data port.int
getLogFrequency()
Get the log frequency property.void
setErrorTolerance(FloatingPointTolerance errorTolerance)
Set the error tolerance for floating point values.void
setLogFrequency(int logFrequency)
Set the logging frequency property.-
Methods inherited from class com.pervasive.datarush.operators.ExecutableOperator
cloneForExecution, getNumInputCopies, getPortSettings, handleInactiveOutput
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Methods inherited from class com.pervasive.datarush.operators.AbstractLogicalOperator
disableParallelism, getInputPorts, getOutputPorts, newInput, newInput, newOutput, newRecordInput, newRecordInput, newRecordOutput, notifyError
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Constructor Detail
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AssertEqual
public AssertEqual()
Construct the operator with default property values.
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AssertEqual
public AssertEqual(FloatingPointTolerance errorTolerance, int logFrequency)
Construct the operator with the given property values.- Parameters:
errorTolerance
- error bound used when testing equality of floating point valueslogFrequency
- Log the number of rows compared once for everylogFrequency
rows.logFrequency <= 0
means log only the total number of comparisons.
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Method Detail
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getErrorTolerance
public FloatingPointTolerance getErrorTolerance()
Get the error tolerance property for floating point values.- Returns:
- error tolerance for floating point values.
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setErrorTolerance
public void setErrorTolerance(FloatingPointTolerance errorTolerance)
Set the error tolerance for floating point values. The default is to use an exact match.- Parameters:
errorTolerance
- error bound used when testing equality of floating point values
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getLogFrequency
public int getLogFrequency()
Get the log frequency property.- Returns:
- log frequency
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setLogFrequency
public void setLogFrequency(int logFrequency)
Set the logging frequency property.- Parameters:
logFrequency
- Log the number of rows compared once for everylogFrequency
rows.logFrequency <= 0
means log only the total number of comparisons.
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getExpectedInput
public RecordPort getExpectedInput()
Get the expected input data port.- Returns:
- input data port for the expected data
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getActualInput
public RecordPort getActualInput()
Get the actual input data port.- Returns:
- input data port for the actual data
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computeMetadata
protected void computeMetadata(StreamingMetadataContext ctx)
Description copied from class:StreamingOperator
Implementations must adhere to the following contractsGeneral
Regardless of input ports/output port types, all implementations must do the following:- Validation. Validation of configuration should always be performed first.
- Declare parallelizability.. Implementations must declare parallelizability by calling
StreamingMetadataContext.parallelize(ParallelismStrategy)
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Input record ports
Implementations with input record ports must declare the following:- Required data ordering: Implementations that have data ordering requirements must declare them by calling
- Required data distribution (only applies to parallelizable operators): Implementations that have data distribution requirements must declare them by calling
RecordPort#setRequiredDataOrdering
, otherwise data may arrive in any order.RecordPort#setRequiredDataDistribution
, otherwise data will arrive in anunspecified partial distribution
.RecordPort#getSourceDataDistribution
andRecordPort#getSourceDataOrdering
. These should be viewed as a hints to help chose a more efficient algorithm. In such cases, though, operators must still declare data ordering and data distribution requirements; otherwise there is no guarantee that data will arrive sorted/distributed as required.Output record ports
Implementations with output record ports must declare the following:- Type: Implementations must declare their output type by calling
RecordPort#setType
.
- Output data ordering: Implementations that can make guarantees as to their output
ordering may do so by calling
RecordPort#setOutputDataOrdering
- Output data distribution (only applies to parallelizable operators): Implementations that can make guarantees as to their output
distribution may do so by calling
RecordPort#setOutputDataDistribution
Input model ports
In general, there is nothing special to declare for input model ports. Models are implicitly duplicated to all partitions when going from non-parallel to parallel operators. The case of a model going from a parallel to a non-parallel node is a special case of a "model reducer" operator. In the case of a model reducer, the downstream operator, must declare the following:- Merge handler: Model reducers must declare a merge handler by
calling
AbstractModelPort#setMergeHandler
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MergeModel
is a convenient, re-usable model reducer, parameterized with a merge-handler.Output model ports
SimpleModelPort
's have no associated metadata and therefore there is never any output metadata to declare.PMMLPort
's, on the other hand, do have associated metadata. For all PMMLPorts, implementations must declare the following:- pmmlModelSpec: Implementations must declare the PMML model spec
by calling
PMMLPort.setPMMLModelSpec
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- Specified by:
computeMetadata
in classStreamingOperator
- Parameters:
ctx
- the context
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execute
protected void execute(ExecutionContext context)
Description copied from class:ExecutableOperator
Executes the operator. Implementations should adhere to the following contracts:- Following execution, all input ports must be at end-of-data.
- Following execution, all output ports must be at end-of-data.
- Specified by:
execute
in classExecutableOperator
- Parameters:
context
- context in which to lookup physical ports bound to logical ports
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