Examples with ConditionBranches io.cdap.cdap.etl.planner.ConditionBranches used on opensource projects

Example 1 with ConditionBranches

use of io.cdap.cdap.etl.planner.ConditionBranches in project cdap by caskdata.

the class SmartWorkflow method addPrograms.

private void addPrograms(String node, WorkflowProgramAdder programAdder) {
    programAdder = addProgram(node, programAdder);
    Iterator<String> outputIter = dag.getNodeOutputs(node).iterator();
    if (!outputIter.hasNext()) {
        return;
    }
    String output = outputIter.next();
    ConditionBranches branches = plan.getConditionPhaseBranches().get(node);
    if (branches != null) {
        // This is condition
        addConditionBranches(programAdder, branches);
    } else {
        // if this is a fork
        if (outputIter.hasNext()) {
            WorkflowProgramAdder fork = programAdder.fork();
            addBranchPrograms(output, fork, false);
            while (outputIter.hasNext()) {
                fork = fork.also();
                addBranchPrograms(outputIter.next(), fork, !outputIter.hasNext());
            }
        } else {
            addPrograms(output, programAdder);
        }
    }
}

Example 2 with ConditionBranches

use of io.cdap.cdap.etl.planner.ConditionBranches in project cdap by caskdata.

the class SmartWorkflow method configure.

@Override
protected void configure() {
    setName(NAME);
    setDescription("Data Pipeline Workflow");
    // If plugins were registered only at the application level, CDAP would not be able to fail the run early.
    try {
        spec = new BatchPipelineSpecGenerator(applicationConfigurer.getDeployedNamespace(), getConfigurer(), applicationConfigurer.getRuntimeConfigurer(), ImmutableSet.of(BatchSource.PLUGIN_TYPE), ImmutableSet.of(BatchSink.PLUGIN_TYPE, SparkSink.PLUGIN_TYPE, AlertPublisher.PLUGIN_TYPE), config.getEngine(), getConfigurer()).generateSpec(config);
    } catch (ValidationException e) {
        throw new IllegalArgumentException(String.format("Failed to configure pipeline: %s", e.getFailures().isEmpty() ? e.getMessage() : e.getFailures().iterator().next().getFullMessage()), e);
    }
    // append "_" to the connection name so it will not conflict with the system tag we add
    Set<String> connectionsUsed = spec.getConnectionsUsed().stream().map(s -> "_" + s).collect(Collectors.toSet());
    applicationConfigurer.emitMetadata(new Metadata(Collections.emptyMap(), connectionsUsed), MetadataScope.SYSTEM);
    stageSpecs = new HashMap<>();
    useSpark = config.getEngine() == Engine.SPARK;
    for (StageSpec stageSpec : spec.getStages()) {
        stageSpecs.put(stageSpec.getName(), stageSpec);
        String pluginType = stageSpec.getPlugin().getType();
        if (SparkCompute.PLUGIN_TYPE.equals(pluginType) || SparkSink.PLUGIN_TYPE.equals(pluginType)) {
            useSpark = true;
        }
    }
    plan = createPlan();
    WorkflowProgramAdder programAdder = new TrunkProgramAdder(getConfigurer());
    // single phase, just add the program directly
    if (plan.getPhases().size() == 1) {
        addProgram(plan.getPhases().keySet().iterator().next(), programAdder);
        setWorkflowProperties();
        return;
    }
    // Dag classes don't allow a 'dag' without connections
    if (plan.getPhaseConnections().isEmpty()) {
        WorkflowProgramAdder fork = programAdder.fork();
        for (String phaseName : plan.getPhases().keySet()) {
            addProgram(phaseName, fork);
        }
        fork.join();
        setWorkflowProperties();
        return;
    }
    /*
       ControlDag is used to flatten the dag that represents connections between phases.
       Connections between phases represent a happens-before relationship, not the flow of data.
       As such, phases can be shifted around as long as every happens-before relationship is maintained.
       The exception is condition phases. Connection from a condition to another phase must be maintained as is.

       Flattening a ControlDag will transform a dag into a special fork-join dag by moving phases around.
       We therefore cannot blindly flatten the phase connections.
       However, we validated earlier that condition outputs have a special property, where every stage following a
       condition can only have a single input. This means we will never need to flatten anything after the first
       set of conditions. We will only have to flatten what comes before the first set of conditions.
     */
    dag = new ControlDag(plan.getPhaseConnections());
    boolean dummyNodeAdded = false;
    Map<String, ConditionBranches> conditionBranches = plan.getConditionPhaseBranches();
    if (conditionBranches.isEmpty()) {
        // after flattening, there is guaranteed to be just one source
        dag.flatten();
    } else if (!conditionBranches.keySet().containsAll(dag.getSources())) {
        // Continue only if the condition node is not the source of the dag, otherwise dag is already in the
        // required form
        Set<String> conditions = conditionBranches.keySet();
        // flatten only the part of the dag starting from sources and ending in conditions/sinks.
        Set<String> dagNodes = dag.accessibleFrom(dag.getSources(), Sets.union(dag.getSinks(), conditions));
        Set<String> dagNodesWithoutCondition = Sets.difference(dagNodes, conditions);
        Set<Connection> connections = new HashSet<>();
        Deque<String> bfs = new LinkedList<>();
        Set<String> sinks = new HashSet<>();
        // If its a single phase without condition then no need to flatten
        if (dagNodesWithoutCondition.size() < 2) {
            sinks.addAll(dagNodesWithoutCondition);
        } else {
            /*
           Create a subdag from dagNodesWithoutCondition.
           There are a couple situations where this is not immediately possible. For example:

             source1 --|
                       |--> condition -- ...
             source2 --|

           Here, dagNodesWithoutCondition = [source1, source2], which is an invalid dag. Similarly:

             source --> condition -- ...

           Here, dagNodesWithoutCondition = [source], which is also invalid. In order to ensure that we have a
           valid dag, we just insert a dummy node as the first node in the subdag, adding a connection from the
           dummy node to all the sources.
         */
            Dag subDag;
            try {
                subDag = dag.createSubDag(dagNodesWithoutCondition);
            } catch (IllegalArgumentException | DisjointConnectionsException e) {
                // DisjointConnectionsException thrown when islands are created from the dagNodesWithoutCondition
                // IllegalArgumentException thrown when connections are empty
                // In both cases we need to add dummy node and create connected Dag
                String dummyNode = "dummy";
                dummyNodeAdded = true;
                Set<Connection> subDagConnections = new HashSet<>();
                for (String source : dag.getSources()) {
                    subDagConnections.add(new Connection(dummyNode, source));
                }
                Deque<String> subDagBFS = new LinkedList<>();
                subDagBFS.addAll(dag.getSources());
                while (subDagBFS.peek() != null) {
                    String node = subDagBFS.poll();
                    for (String output : dag.getNodeOutputs(node)) {
                        if (dagNodesWithoutCondition.contains(output)) {
                            subDagConnections.add(new Connection(node, output));
                            subDagBFS.add(output);
                        }
                    }
                }
                subDag = new Dag(subDagConnections);
            }
            ControlDag cdag = new ControlDag(subDag);
            cdag.flatten();
            // Add all connections from cdag
            bfs.addAll(cdag.getSources());
            while (bfs.peek() != null) {
                String node = bfs.poll();
                for (String output : cdag.getNodeOutputs(node)) {
                    connections.add(new Connection(node, output));
                    bfs.add(output);
                }
            }
            sinks.addAll(cdag.getSinks());
        }
        // Add back the existing condition nodes and corresponding conditions
        Set<String> conditionsFromDag = Sets.intersection(dagNodes, conditions);
        for (String condition : conditionsFromDag) {
            connections.add(new Connection(sinks.iterator().next(), condition));
        }
        bfs.addAll(Sets.intersection(dagNodes, conditions));
        while (bfs.peek() != null) {
            String node = bfs.poll();
            ConditionBranches branches = conditionBranches.get(node);
            if (branches == null) {
                // not a condition node. add outputs
                for (String output : dag.getNodeOutputs(node)) {
                    connections.add(new Connection(node, output));
                    bfs.add(output);
                }
            } else {
                // condition node
                for (Boolean condition : Arrays.asList(true, false)) {
                    String phase = condition ? branches.getTrueOutput() : branches.getFalseOutput();
                    if (phase == null) {
                        continue;
                    }
                    connections.add(new Connection(node, phase, condition));
                    bfs.add(phase);
                }
            }
        }
        dag = new ControlDag(connections);
    }
    if (dummyNodeAdded) {
        WorkflowProgramAdder fork = programAdder.fork();
        String dummyNode = dag.getSources().iterator().next();
        // need to make sure we don't call also() if this is the final branch
        Iterator<String> outputIter = dag.getNodeOutputs(dummyNode).iterator();
        addBranchPrograms(outputIter.next(), fork, false);
        while (outputIter.hasNext()) {
            fork = fork.also();
            addBranchPrograms(outputIter.next(), fork, !outputIter.hasNext());
        }
    } else {
        String start = dag.getSources().iterator().next();
        addPrograms(start, programAdder);
    }
    setWorkflowProperties();
}

Example 3 with ConditionBranches

use of io.cdap.cdap.etl.planner.ConditionBranches in project cdap by caskdata.

the class SmartWorkflow method addBranchPrograms.

private void addBranchPrograms(String node, WorkflowProgramAdder programAdder, boolean shouldJoin) {
    // if this is a join node
    if (dag.getNodeInputs(node).size() > 1) {
        // if we've reached the join from the final branch of the fork
        if (shouldJoin) {
            // join the fork and continue on
            addPrograms(node, programAdder.join());
        }
        return;
    }
    programAdder = addProgram(node, programAdder);
    ConditionBranches branches = plan.getConditionPhaseBranches().get(node);
    if (branches != null) {
        programAdder = addConditionBranches(programAdder, branches);
        if (shouldJoin) {
            programAdder.join();
        }
    } else {
        // if we're already on a branch, we should never have another branch for non-condition programs
        Set<String> nodeOutputs = dag.getNodeOutputs(node);
        if (nodeOutputs.size() > 1) {
            throw new IllegalStateException("Found an unexpected non-condition branch while on another branch. " + "This means there is a pipeline planning bug. " + "Please contact the CDAP team to open a bug report.");
        }
        if (!nodeOutputs.isEmpty()) {
            addBranchPrograms(dag.getNodeOutputs(node).iterator().next(), programAdder, shouldJoin);
        }
    }
}