Examples with LinkedQueue edu.iu.dsc.tws.task.api.LinkedQueue used on opensource projects

Example 1 with LinkedQueue

use of edu.iu.dsc.tws.task.api.LinkedQueue in project twister2 by DSC-SPIDAL.

the class PingPongCommunicationTaskBased method init.

/**
 * Initialize the container
 */
public void init(Config cfg, int containerId, ResourcePlan plan) {
    LOG.log(Level.INFO, "Starting the example with container id: " + plan.getThisId());
    // Creates task an task executor instance to be used in this container
    taskExecutor = new TaskExecutorFixedThread();
    this.status = Status.INIT;
    // lets create the task plan
    TaskPlan taskPlan = Utils.createTaskPlan(cfg, plan);
    // first get the communication config file
    TWSNetwork network = new TWSNetwork(cfg, taskPlan);
    TWSCommunication channel = network.getDataFlowTWSCommunication();
    // we are sending messages from 0th task to 1st task
    Set<Integer> sources = new HashSet<>();
    sources.add(0);
    int dests = 1;
    Map<String, Object> newCfg = new HashMap<>();
    LOG.info("Setting up reduce dataflow operation");
    // this method calls the init method
    // I think this is wrong
    // TODO: Does the task genereate the communication or is it done by a controller for examples
    // the direct comm between task 0 and 1 is it done by the container or the the task
    // TODO: if the task creates the dataflowop does the task progress it or the executor
    // TODO : FOR NOW the dataflowop is created at container and sent to task
    LinkedQueue<Message> pongQueue = new LinkedQueue<Message>();
    taskExecutor.registerQueue(0, pongQueue);
    direct = channel.direct(newCfg, MessageType.OBJECT, 0, sources, dests, new PingPongReceive());
    taskExecutor.initCommunication(channel, direct);
    if (containerId == 0) {
        // the map thread where data is produced
        LOG.log(Level.INFO, "Starting map thread");
        taskExecutor.registerTask(new MapWorker(0, direct));
        LOG.log(Level.INFO, "registered map thread");
        taskExecutor.submitTask(0);
        taskExecutor.progres();
    } else if (containerId == 1) {
        taskExecutor.progres();
    }
}

Example 2 with LinkedQueue

use of edu.iu.dsc.tws.task.api.LinkedQueue in project twister2 by DSC-SPIDAL.

the class SimpleMultiTaskGraph method init.

/**
 * Init method to submit the task to the executor
 */
public void init(Config cfg, int containerId, ResourcePlan plan) {
    LOG.log(Level.INFO, "Starting the example with container id: " + plan.getThisId());
    taskExecutor = new TaskExecutorFixedThread();
    this.status = SimpleMultiTaskGraph.Status.INIT;
    TaskPlan taskPlan = Utils.createTaskPlan(cfg, plan);
    TWSNetwork network = new TWSNetwork(cfg, taskPlan);
    TWSCommunication channel = network.getDataFlowTWSCommunication();
    Set<Integer> sources = new HashSet<>();
    sources.add(0);
    int destination = 1;
    Map<String, Object> newCfg = new HashMap<>();
    LinkedQueue<Message> pongQueue = new LinkedQueue<Message>();
    taskExecutor.registerQueue(0, pongQueue);
    direct = channel.direct(newCfg, MessageType.OBJECT, 0, sources, destination, new SimpleMultiTaskGraph.PingPongReceive());
    taskExecutor.initCommunication(channel, direct);
    // For Dataflow Task Graph Generation call the dataflow task graph generator
    MapWorker sourceTask = new MapWorker(0, direct);
    ReceiveWorker sinkTask = new ReceiveWorker(1);
    // later we can add a different task
    ReceiveWorker sinkTask1 = new ReceiveWorker(2);
    dataflowTaskGraph = new DataflowTaskGraphGenerator().generateDataflowGraph(sourceTask, sinkTask, direct).generateDataflowGraph(sinkTask, sinkTask1, direct);
    if (dataflowTaskGraph != null) {
        dataflowTaskGraphParser = new DataflowTaskGraphParser(dataflowTaskGraph);
        parsedTaskSet = dataflowTaskGraphParser.dataflowTaskGraphParseAndSchedule();
    }
    // the taskgraph scheduler is constructed...!
    if (!parsedTaskSet.isEmpty() && containerId > 1) {
        List<Task> taskList = new ArrayList<>();
        for (Task processedTasks : parsedTaskSet) {
            taskList.add(processedTasks);
        }
        LOG.info("Submitting Pipeline Task:" + taskList.size());
        taskExecutionOptimizer = new TaskExecutionOptimizer(taskExecutor);
        PipelinedTask pipelinedTask = new PipelinedTask(1, taskList);
        pipelinedTask.execute();
    }
}

Example 3 with LinkedQueue

use of edu.iu.dsc.tws.task.api.LinkedQueue in project twister2 by DSC-SPIDAL.

the class SimpleTGraphExample method init.

/**
 * Init method to submit the task to the executor
 */
public void init(Config cfg, int containerId, ResourcePlan plan) {
    LOG.log(Level.INFO, "Starting the example with container id: " + plan.getThisId());
    taskExecutor = new TaskExecutorFixedThread();
    this.status = Status.INIT;
    TaskPlan taskPlan = Utils.createTaskPlan(cfg, plan);
    TWSNetwork network = new TWSNetwork(cfg, taskPlan);
    TWSCommunication channel = network.getDataFlowTWSCommunication();
    Set<Integer> sources = new HashSet<>();
    sources.add(0);
    int destination = 1;
    Map<String, Object> newCfg = new HashMap<>();
    LinkedQueue<Message> pongQueue = new LinkedQueue<Message>();
    taskExecutor.registerQueue(0, pongQueue);
    direct = channel.direct(newCfg, MessageType.OBJECT, 0, sources, destination, new SimpleTGraphExample.PingPongReceive());
    taskExecutor.initCommunication(channel, direct);
    TMapper tMapper = new TMapper("1");
    TReducer tReducer = new TReducer("2");
    TShuffler tShuffler = new TShuffler("3");
    TReducer tMergeFinal = new TReducer("4");
    // Add the real input data files in the array list...
    tMapper.addInputData("mapper1", new ArrayList<>());
    tMapper.addInputData("mapper2", new ArrayList<>());
    // Add the real input data files in the array list...
    tReducer.addInputData("reducer1", new ArrayList<>());
    tReducer.addInputData("reducer2", new ArrayList<>());
    // Add the real input data files in the array list...
    tShuffler.addInputData("shuffler1", new ArrayList<>());
    tShuffler.addInputData("shuffler2", new ArrayList<>());
    // Add the real input data files in the array list...
    tMergeFinal.addInputData("merge1", new ArrayList<>());
    tMergeFinal.addInputData("merge2", new ArrayList<>());
    // Mention the output data files to be generated in the array list...
    tMapper.addOutputData("mapperOut1", new ArrayList<>());
    tMapper.addOutputData("mapperOut2", new ArrayList<>());
    if (taskGraphFlag >= 0) {
        // just for verification (replace with proper value)
        /*dataflowTaskGraphGenerator = new DataflowTaskGraphGenerator()
          .generateTGraph(tMapper, tShuffler, new DataflowOperation("Map"))
          .generateTGraph(tMapper, tReducer, new DataflowOperation("Shuffle"))
          .generateTGraph(tShuffler, tReducerFinal, new DataflowOperation("finalReduce"))
          .generateTGraph(tReducer, tReducerFinal, new DataflowOperation("finalReduce"));*/
        dataflowTaskGraphGenerator = new DataflowTaskGraphGenerator().generateTGraph(tMapper).generateTGraph(tMapper, tReducer, new DataflowOperation("Reduce")).generateTGraph(tMapper, tShuffler, new DataflowOperation("Shuffle")).generateTGraph(tReducer, tMergeFinal, new DataflowOperation("Merge1")).generateTGraph(tShuffler, tMergeFinal, new DataflowOperation("Merge2"));
        LOG.info("Generated Dataflow Task Graph Vertices:" + dataflowTaskGraphGenerator.getTGraph().getTaskVertexSet());
        if (dataflowTaskGraphGenerator != null) {
            dataflowTGraphParser = new DataflowTGraphParser(dataflowTaskGraphGenerator);
            parsedTaskSet = dataflowTGraphParser.dataflowTGraphParseAndSchedule();
            LOG.info("parsed task set:" + parsedTaskSet);
        }
        // parsedTaskSet = executionGraph.parseTaskGraph(dataflowTaskGraphGenerator);
        if (!parsedTaskSet.isEmpty()) {
            // newly added for testing
            executionGraph = new ExecutionGraph(parsedTaskSet);
            String message = executionGraph.generateExecutionGraph(containerId);
            // String message = executionGraph.generateExecutionGraph(containerId, parsedTaskSet);
            /*TaskExecutorFixedThread taskExecutionGraph =
            executionGraph.generateExecutionGraph(containerId, parsedTaskSet);*/
            LOG.info(message);
        }
    }
// It removes only the first tax vertex in the parsedTaskSet.
// dataflowTaskGraphGenerator.removeTaskVertex(parsedTaskSet.iterator().next());
// It is getting concurrent modification exception...!
/*for (TaskGraphMapper processedTask : parsedTaskSet) {
      dataflowTaskGraphGenerator.removeTaskVertex(processedTask);
    }*/
}

Example 4 with LinkedQueue

use of edu.iu.dsc.tws.task.api.LinkedQueue in project twister2 by DSC-SPIDAL.

the class SimpleTaskGraph method init.

/**
 * Init method to submit the task to the executor
 */
public void init(Config cfg, int containerId, ResourcePlan plan) {
    LOG.log(Level.INFO, "Starting the example with container id: " + plan.getThisId());
    taskExecutor = new TaskExecutorFixedThread();
    this.status = Status.INIT;
    TaskPlan taskPlan = Utils.createTaskPlan(cfg, plan);
    TWSNetwork network = new TWSNetwork(cfg, taskPlan);
    TWSCommunication channel = network.getDataFlowTWSCommunication();
    Set<Integer> sources = new HashSet<>();
    sources.add(0);
    int destination = 1;
    Map<String, Object> newCfg = new HashMap<>();
    LinkedQueue<Message> pongQueue = new LinkedQueue<Message>();
    taskExecutor.registerQueue(0, pongQueue);
    direct = channel.direct(newCfg, MessageType.OBJECT, 0, sources, destination, new SimpleTaskGraph.PingPongReceive());
    taskExecutor.initCommunication(channel, direct);
    // For Dataflow Task Graph Generation call the dataflow task graph generator
    MapWorker sourceTask = new MapWorker(0, direct);
    ReceiveWorker sinkTask = new ReceiveWorker();
    dataflowTaskGraphGenerator = new DataflowTaskGraphGenerator().generateDataflowGraph(sourceTask, sinkTask, direct);
    if (dataflowTaskGraphGenerator != null) {
        dataflowTaskGraphParser = new DataflowTaskGraphParser(dataflowTaskGraphGenerator);
        parsedTaskSet = dataflowTaskGraphParser.dataflowTaskGraphParseAndSchedule();
    }
    if (!parsedTaskSet.isEmpty()) {
        if (containerId == 0) {
            LOG.info("Job in if loop is::::::::::::" + parsedTaskSet.iterator().next());
            taskExecutor.registerTask(parsedTaskSet.iterator().next());
            // taskExecutor.registerTask(new MapWorker(0, direct));
            taskExecutor.submitTask(0);
            taskExecutor.progres();
        // /dataflowTaskGraphGenerator.removeTaskVertex(parsedTaskSet.iterator().next());
        } else if (containerId == 1) {
            int index = 0;
            for (Task processedTask : parsedTaskSet) {
                if (index == 0) {
                    ++index;
                } else if (index == 1) {
                    LOG.info("Job in else loop is::::::::::::" + processedTask);
                    ArrayList<Integer> inq = new ArrayList<>();
                    inq.add(0);
                    taskExecutor.setTaskMessageProcessLimit(10000);
                    taskExecutor.registerSinkTask(processedTask, inq);
                    taskExecutor.progres();
                    // /dataflowTaskGraphGenerator.removeTaskVertex(parsedTaskSet.iterator().next());
                    ++index;
                } else if (index > 1) {
                    // Just for verification
                    LOG.info("Task Index is greater than 1");
                    LOG.info("Submit the job to pipeline task");
                    break;
                }
            }
        }
    }
// This scheduling loop will be used in the future, leave it for reference.
/*int index = 0;
    if (!parsedTaskSet.isEmpty()) {
      for (Task processedTask : parsedTaskSet) {
        if (containerId == index) {
          taskExecutor.registerTask(processedTask);
          taskExecutor.submitTask(0);
          taskExecutor.progres();
          index++;
        } else if (index == 1) {
          ArrayList<Integer> inq = new ArrayList<>();
          inq.add(0);
          taskExecutor.setTaskMessageProcessLimit(10000);
          taskExecutor.registerSinkTask(processedTask, inq);
          taskExecutor.progres();
          index++;
        } else if(index > 1){
          List<Task> taskList = new ArrayList<>();
          for (Task processedTasks : parsedTaskSet) {
            taskList.add(processedTasks);
          }
          //This loop should be properly written...!
          taskExecutionOptimizer = new TaskExecutionOptimizer(taskExecutor);
          Map<Integer, List<Task>> taskMap = new HashMap<>();
          taskMap.put(1, taskList);
        }
      }
    }*/
}

Example 5 with LinkedQueue

use of edu.iu.dsc.tws.task.api.LinkedQueue in project twister2 by DSC-SPIDAL.

the class SimpleTaskQueue method init.

/**
 * Initialize the container
 */
public void init(Config cfg, int containerId, ResourcePlan plan) {
    LOG.log(Level.INFO, "Starting the example with container id: " + plan.getThisId());
    // Creates task an task executor instance to be used in this container
    taskExecutor = new TaskExecutorFixedThread();
    this.status = Status.INIT;
    // lets create the task plan
    TaskPlan taskPlan = Utils.createTaskPlan(cfg, plan);
    // first get the communication config file
    TWSNetwork network = new TWSNetwork(cfg, taskPlan);
    TWSCommunication channel = network.getDataFlowTWSCommunication();
    // we are sending messages from 0th task to 1st task
    Set<Integer> sources = new HashSet<>();
    sources.add(0);
    int dests = 1;
    Map<String, Object> newCfg = new HashMap<>();
    LOG.info("-------------------------------------------");
    LOG.info("Setting up reduce dataflow operation");
    LOG.info("-------------------------------------------");
    // this method calls the init method
    // I think this is wrong
    // TODO: Does the task genereate the communication or is it done by a controller for examples
    // the direct comm between task 0 and 1 is it done by the container or the the task
    // TODO: if the task creates the dataflowop does the task progress it or the executor
    // TODO : FOR NOW the dataflowop is created at container and sent to task
    LinkedQueue<Message> pongQueue = new LinkedQueue<Message>();
    taskExecutor.registerQueue(0, pongQueue);
    direct = channel.direct(newCfg, MessageType.OBJECT, 0, sources, dests, new PingPongReceive());
    taskExecutor.initCommunication(channel, direct);
    if (containerId == 0) {
        // the map thread where data is produced
        LOG.info("-------------------------------------------");
        LOG.log(Level.INFO, "Starting map thread");
        LOG.info("-------------------------------------------");
        LOG.info("-------------------------------------------");
        LOG.log(Level.INFO, "Container Id 0");
        LOG.info("-------------------------------------------");
        taskExecutor.registerTask(new MapWorker(0, direct));
        taskExecutor.submitTask(0);
        taskExecutor.progres();
    } else if (containerId == 1) {
        LOG.info("-------------------------------------------");
        LOG.log(Level.INFO, "Container Id 1 : Receiving End");
        LOG.info("-------------------------------------------");
        ArrayList<Integer> inq = new ArrayList<>();
        inq.add(0);
        taskExecutor.setTaskMessageProcessLimit(100);
        taskExecutor.registerSinkTask(new RecieveWorker(1), inq);
        taskExecutor.progres();
    }
}