Examples of groovyx.gpars.dataflow.operator.DataflowPrioritySelector

groovyx.gpars.dataflow.operator.DataflowPrioritySelector
Dataflow selectors and operators (processors) form the basic units in dataflow networks. They are typically combined into oriented graphs that transform data. They accept a set of input and output dataflow channels so that once values are available to be consumed in any of the input channels the selector's body is triggered on the values, potentially generating values to be written into the output channels. The output channels at the same time are suitable to be used as input channels by some other dataflow processors. The channels allow processors to communicate.
Dataflow selectors and operators enable creation of highly concurrent applications yet the abstraction hides the low-level concurrency primitives and exposes much friendlier API. Since selectors and operators internally leverage the actor implementation, they reuse a pool of threads and so the actual number of threads used by the calculation can be kept much lower than the actual number of processors used in the network.

Priority selectors prefer to select messages from channels with lower position index.
@author Vaclav PechDate: Sep 23, 2009

     * @param channels A map specifying "inputs" and "outputs" - dataflow channels (instances of the DataflowQueue or DataflowVariable classes) to use for inputs and outputs
     * @param code     The selector's body to run each time a value is available in any of the inputs channels
     * @return A new started selector instance with all the channels set
     */
    public final DataflowProcessor prioritySelector(final Map channels, @DelegatesTo(DataflowSelector.class) final Closure code) {
        return new DataflowPrioritySelector(this, channels, code).start();
    }

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     */
    public final DataflowProcessor prioritySelector(final List inputChannels, final List outputChannels, @DelegatesTo(DataflowSelector.class) final Closure code) {
        final HashMap<String, Object> params = new HashMap<String, Object>(5);
        params.put(DataflowProcessor.INPUTS, inputChannels);
        params.put(DataflowProcessor.OUTPUTS, outputChannels);
        return new DataflowPrioritySelector(this, params, code).start();
    }

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     *
     * @param channels A map specifying "inputs" and "outputs" - dataflow channels (instances of the DataflowQueue or DataflowVariable classes) to use for inputs and outputs
     * @return A new started selector instance with all the channels set
     */
    public final DataflowProcessor prioritySelector(final Map channels) {
        return new DataflowPrioritySelector(this, channels, new DataflowProcessorAtomicBoundAllClosure()).start();
    }

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     */
    public final DataflowProcessor prioritySelector(final List inputChannels, final List outputChannels) {
        final HashMap<String, Object> params = new HashMap<String, Object>(5);
        params.put(DataflowProcessor.INPUTS, inputChannels);
        params.put(DataflowProcessor.OUTPUTS, outputChannels);
        return new DataflowPrioritySelector(this, params, new DataflowProcessorAtomicBoundAllClosure()).start();
    }

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