groovyx.gpars.dataflow
[Java] Class Dataflow

java.lang.Object
  groovyx.gpars.dataflow.Dataflow

@SuppressWarnings({"rawtypes", "RawUseOfParameterizedType", "AbstractClassWithoutAbstractMethods", "AbstractClassNeverImplemented", "ConstantDeclaredInAbstractClass", "UtilityClass", "unchecked"})
public abstract class Dataflow
extends java.lang.Object

Contains factory methods to create dataflow actors and starting them.

Authors:

Vaclav Pech, Dierk Koenig Date: Jun 4, 2009

DATA_FLOW_GROUP

public static final PGroup DATA_FLOW_GROUP

The parallel group used by all Dataflow Concurrency actors by default.

activeParallelGroup

public static final java.lang.ThreadLocal activeParallelGroup

Maps threads/tasks to parallel groups they belong to

Dataflow

Dataflow()

operator

public static DataflowProcessor operator(java.util.Map channels, groovy.lang.Closure code)

Creates an operator using the default dataflow parallel group

Parameters:

channels - A map specifying "inputs" and "outputs" - dataflow channels (instances of the DataflowQueue or DataflowVariable classes) to use for inputs and outputs

code - The operator's body to run each time all inputs have a value to read

Returns:

A new active operator instance

operator

public static DataflowProcessor operator(java.util.List inputChannels, java.util.List outputChannels, groovy.lang.Closure code)

Creates an operator using the current parallel group

Parameters:

inputChannels - dataflow channels to use for input

outputChannels - dataflow channels to use for output

code - The operator's body to run each time all inputs have a value to read

Returns:

A new active operator instance

operator

public static DataflowProcessor operator(java.util.List inputChannels, java.util.List outputChannels, int maxForks, groovy.lang.Closure code)

Creates an operator using the current parallel group

Parameters:

inputChannels - dataflow channels to use for input

outputChannels - dataflow channels to use for output

maxForks - Number of parallel threads running operator's body, defaults to 1

code - The operator's body to run each time all inputs have a value to read

Returns:

A new active operator instance

operator

public static DataflowProcessor operator(DataflowReadChannel input, DataflowWriteChannel output, groovy.lang.Closure code)

Creates an operator using the current parallel group

Parameters:

input - a dataflow channel to use for input

output - a dataflow channel to use for output

code - The operator's body to run each time all inputs have a value to read

Returns:

A new active operator instance

operator

public static DataflowProcessor operator(DataflowReadChannel input, DataflowWriteChannel output, int maxForks, groovy.lang.Closure code)

Creates an operator using the current parallel group

Parameters:

input - a dataflow channel to use for input

output - a dataflow channel to use for output

maxForks - Number of parallel threads running operator's body, defaults to 1

code - The operator's body to run each time all inputs have a value to read

Returns:

A new active operator instance

prioritySelector

public static DataflowProcessor prioritySelector(java.util.Map channels, groovy.lang.Closure code)

Creates a prioritizing selector using the default dataflow parallel group Input with lower position index have higher priority.

Parameters:

channels - A map specifying "inputs" and "outputs" - dataflow channels (instances of the DataflowQueue or DataflowVariable classes) to use for inputs and outputs

code - The selector's body to run each time a value is available in any of the inputs channels

Returns:

A new active selector instance

prioritySelector

public static DataflowProcessor prioritySelector(java.util.List inputChannels, java.util.List outputChannels, groovy.lang.Closure code)

Creates a prioritizing selector using the default dataflow parallel group Input with lower position index have higher priority.

Parameters:

inputChannels - dataflow channels to use for input

outputChannels - dataflow channels to use for output

code - The selector's body to run each time a value is available in any of the inputs channels

Returns:

A new active selector instance

prioritySelector

public static DataflowProcessor prioritySelector(java.util.Map channels)

Creates a prioritizing selector using the default dataflow parallel group. Since no body is provided, the selector will simply copy the incoming values to all output channels. Input with lower position index have higher priority.

Parameters:

channels - A map specifying "inputs" and "outputs" - dataflow channels (instances of the DataflowQueue or DataflowVariable classes) to use for inputs and outputs

Returns:

A new active selector instance

prioritySelector

public static DataflowProcessor prioritySelector(java.util.List inputChannels, java.util.List outputChannels)

Creates a prioritizing selector using the default dataflow parallel group. Since no body is provided, the selector will simply copy the incoming values to all output channels. Input with lower position index have higher priority.

Parameters:

inputChannels - dataflow channels to use for input

outputChannels - dataflow channels to use for output

Returns:

A new active selector instance

retrieveCurrentDFPGroup

public static PGroup retrieveCurrentDFPGroup()

Retrieves the thread-local value of the active PGroup or the default DataflowGroup

Returns:

The PGroup to use for DF within the current thread

select

public static Select select(DataflowReadChannel channels)

Creates a select using the default dataflow parallel group. The returns Select instance will allow the user to obtain values from the supplied dataflow variables or streams as they become available.

Parameters:

channels - Dataflow variables or streams to wait for values on

Returns:

A new select instance

select

public static Select select(java.util.List channels)

Creates a select using the default dataflow parallel group. The returns Select instance will allow the user to obtain values from the supplied dataflow variables or streams as they become available.

Parameters:

channels - Dataflow variables or streams to wait for values on

Returns:

A new select instance

selector

public static DataflowProcessor selector(java.util.Map channels, groovy.lang.Closure code)

Creates a selector using the default dataflow parallel group

Parameters:

channels - A map specifying "inputs" and "outputs" - dataflow channels (instances of the DataflowQueue or DataflowVariable classes) to use for inputs and outputs

code - The selector's body to run each time a value is available in any of the inputs channels

Returns:

A new active selector instance

selector

public static DataflowProcessor selector(java.util.List inputChannels, java.util.List outputChannels, groovy.lang.Closure code)

Creates a selector using the default dataflow parallel group

Parameters:

inputChannels - dataflow channels to use for input

outputChannels - dataflow channels to use for output

code - The selector's body to run each time a value is available in any of the inputs channels

Returns:

A new active selector instance

selector

public static DataflowProcessor selector(java.util.Map channels)

Creates a selector using the default dataflow parallel group. Since no body is provided, the selector will simply copy the incoming values to all output channels.

Parameters:

channels - A map specifying "inputs" and "outputs" - dataflow channels (instances of the DataflowQueue or DataflowVariable classes) to use for inputs and outputs

Returns:

A new active selector instance

selector

public static DataflowProcessor selector(java.util.List inputChannels, java.util.List outputChannels)

Creates a selector using the default dataflow parallel group. Since no body is provided, the selector will simply copy the incoming values to all output channels.

Parameters:

inputChannels - dataflow channels to use for input

outputChannels - dataflow channels to use for output

Returns:

A new active selector instance

splitter

public static DataflowProcessor splitter(DataflowReadChannel inputChannel, java.util.List outputChannels)

Creates a splitter copying its single input channel into all of its output channels. The created splitter will be part of the default parallel group Input with lower position index have higher priority.

Parameters:

inputChannel - The channel to read values from

outputChannels - A list of channels to output to

Returns:

A new active splitter instance

splitter

public static DataflowProcessor splitter(DataflowReadChannel inputChannel, java.util.List outputChannels, int maxForks)

Creates a splitter copying its single input channel into all of its output channels. The created splitter will be part of this parallel group Input with lower position index have higher priority.

Parameters:

inputChannel - The channel to read values from

outputChannels - A list of channels to output to

maxForks - Number of threads running the splitter's body, defaults to 1

Returns:

A new active splitter instance

task

public static DataflowVariable task(groovy.lang.Closure code)

Creates a new task assigned to a thread from the default dataflow parallel group. Tasks are a lightweight version of dataflow operators, which do not define their communication channels explicitly, but can only exchange data using explicit DataflowVariables and Streams.

Parameters:

code - The task body to run

Returns:

A DataflowVariable, which gets assigned the value returned from the supplied code

task

public static DataflowVariable task(java.util.concurrent.Callable callable)

Creates a new task assigned to a thread from the current parallel group. Tasks are a lightweight version of dataflow operators, which do not define their communication channels explicitly, but can only exchange data using explicit DataflowVariables and Streams. Registers itself with Dataflow for nested 'whenBound' handlers to use the same group.

Parameters:

callable - The task body to run

Returns:

A DataflowVariable, which gets assigned the value returned from the supplied code

task

public static DataflowVariable task(java.lang.Runnable runnable)

Creates a new task assigned to a thread from the current parallel group. Tasks are a lightweight version of dataflow operators, which do not define their communication channels explicitly, but can only exchange data using explicit DataflowVariables and Streams. Registers itself with Dataflow for nested 'whenBound' handlers to use the same group.

Parameters:

runnable - The task body to run

Returns:

A DataflowVariable, which gets bound to null once the supplied code finishes

Copyright © 2008–2010 Václav Pech. All Rights Reserved.