- 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.record.MergeFields
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- All Implemented Interfaces:
LogicalOperator
,RecordSourceOperator
,SourceOperator<RecordPort>
public class MergeFields extends ExecutableOperator implements RecordSourceOperator
Merges two streams of data with an equivalent number of rows into one. The output type contains all the fields from the "left" input followed by those from the "right" input. If any names exist in both the left and right input, the collision is resolved by renaming the fields from the right. Refer toTypeUtil.merge(RecordTokenType...)
for more details on the resolution mechanism.This operator is non-parallel, as the equivalence of input sizes cannot be guaranteed in a parallel context; using this operator will force a gather of the input to a single machine. Even then, care must be taken to ensure the ordering of input records is consistent with the desired result. Generally, this operator only makes sense when used inside a
DeferredCompositeOperator
where these guarantees can be made.
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Constructor Summary
Constructors Constructor Description MergeFields()
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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 ctx)
Executes the operator.RecordPort
getLeftInput()
Gets the record port providing the "left" input for the merge.RecordPort
getOutput()
Gets the record port providing the resulting merged records.RecordPort
getRightInput()
Gets the record port providing the "right" input for the merge.-
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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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface com.pervasive.datarush.operators.LogicalOperator
disableParallelism, getInputPorts, getOutputPorts
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Method Detail
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getLeftInput
public RecordPort getLeftInput()
Gets the record port providing the "left" input for the merge. This is the input merged into the output first. Names from this port will be taken intact.- Returns:
- the "left" input port of the merge
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getRightInput
public RecordPort getRightInput()
Gets the record port providing the "right" input for the merge. The right input is merged into the output after the left. This may cause name collisions; collisions will be resolved by renaming the offending fields from the right. Non-colliding names are taken intact.- Returns:
- the "right" input port of the merge
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getOutput
public RecordPort getOutput()
Gets the record port providing the resulting merged records.- Specified by:
getOutput
in interfaceRecordSourceOperator
- Specified by:
getOutput
in interfaceSourceOperator<RecordPort>
- Returns:
- the output port of the merge
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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
.
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 ctx)
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:
ctx
- context in which to lookup physical ports bound to logical ports
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