java.lang.Object
com.pervasive.datarush.operators.AbstractLogicalOperator
com.pervasive.datarush.operators.StreamingOperator
com.pervasive.datarush.operators.ExecutableOperator
com.pervasive.datarush.operators.assertion.AssertPredicate
- All Implemented Interfaces:
LogicalOperator
Assert that the given predicate is true for all input values. If the predicate
is not true for any value an exception will be thrown halting execution.
This is useful for comparing values within the same data flow.
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Constructor Summary
ConstructorsConstructorDescriptionCreate the assertion operator.AssertPredicate(ScalarValuedFunction predicate) Create the assertion operator with the given predicate. -
Method Summary
Modifier and TypeMethodDescriptionprotected voidImplementations must adhere to the following contractsprotected voidexecute(ExecutionContext context) Executes the operator.getInput()Get the input port of this operator.Get the predicate function.voidsetPredicate(ScalarValuedFunction predicate) Set the predicate function to assert.voidsetPredicate(String predicateExpression) Sets the predicate(s) to use for assertion based on an expression similar to a where clause of a SQL query.Methods inherited from class com.pervasive.datarush.operators.ExecutableOperator
cloneForExecution, getNumInputCopies, getPortSettings, handleInactiveOutputMethods inherited from class com.pervasive.datarush.operators.AbstractLogicalOperator
disableParallelism, getInputPorts, getOutputPorts, newInput, newInput, newOutput, newRecordInput, newRecordInput, newRecordOutput, notifyError
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Constructor Details
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AssertPredicate
public AssertPredicate()Create the assertion operator. -
AssertPredicate
Create the assertion operator with the given predicate.- Parameters:
predicate- predicate function to assert
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Method Details
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getPredicate
Get the predicate function.- Returns:
- predicate function
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setPredicate
Set the predicate function to assert. A predicate function must return abooleantype.- Parameters:
predicate- predicate function to assert- Throws:
com.pervasive.datarush.graphs.physical.InvalidPropertyValueException- thrown if the predicate function does not return abooleantype
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setPredicate
Sets the predicate(s) to use for assertion based on an expression similar to a where clause of a SQL query.- Parameters:
predicateExpression- predicate expression to apply
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getInput
Get the input port of this operator.- Returns:
- input port
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computeMetadata
Description copied from class:StreamingOperatorImplementations 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).
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#getSourceDataDistributionandRecordPort#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.
MergeModelis 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.
- Specified by:
computeMetadatain classStreamingOperator- Parameters:
ctx- the context
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execute
Description copied from class:ExecutableOperatorExecutes 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:
executein classExecutableOperator- Parameters:
context- context in which to lookup physical ports bound to logical ports
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