use of org.apache.flink.optimizer.plan.WorksetIterationPlanNode in project flink by apache.
the class JobGraphGenerator method preVisit.
/**
* This methods implements the pre-visiting during a depth-first traversal. It create the job vertex and
* sets local strategy.
*
* @param node
* The node that is currently processed.
* @return True, if the visitor should descend to the node's children, false if not.
* @see org.apache.flink.util.Visitor#preVisit(org.apache.flink.util.Visitable)
*/
@Override
public boolean preVisit(PlanNode node) {
// check if we have visited this node before. in non-tree graphs, this happens
if (this.vertices.containsKey(node) || this.chainedTasks.containsKey(node) || this.iterations.containsKey(node)) {
// return false to prevent further descend
return false;
}
// the vertex to be created for the current node
final JobVertex vertex;
try {
if (node instanceof SinkPlanNode) {
vertex = createDataSinkVertex((SinkPlanNode) node);
} else if (node instanceof SourcePlanNode) {
vertex = createDataSourceVertex((SourcePlanNode) node);
} else if (node instanceof BulkIterationPlanNode) {
BulkIterationPlanNode iterationNode = (BulkIterationPlanNode) node;
// for the bulk iteration, we skip creating anything for now. we create the graph
// for the step function in the post visit.
// check that the root of the step function has the same parallelism as the iteration.
// because the tail must have the same parallelism as the head, we can only merge the last
// operator with the tail, if they have the same parallelism. not merging is currently not
// implemented
PlanNode root = iterationNode.getRootOfStepFunction();
if (root.getParallelism() != node.getParallelism()) {
throw new CompilerException("Error: The final operator of the step " + "function has a different parallelism than the iteration operator itself.");
}
IterationDescriptor descr = new IterationDescriptor(iterationNode, this.iterationIdEnumerator++);
this.iterations.put(iterationNode, descr);
vertex = null;
} else if (node instanceof WorksetIterationPlanNode) {
WorksetIterationPlanNode iterationNode = (WorksetIterationPlanNode) node;
// we have the same constraints as for the bulk iteration
PlanNode nextWorkSet = iterationNode.getNextWorkSetPlanNode();
PlanNode solutionSetDelta = iterationNode.getSolutionSetDeltaPlanNode();
if (nextWorkSet.getParallelism() != node.getParallelism()) {
throw new CompilerException("It is currently not supported that the final operator of the step " + "function has a different parallelism than the iteration operator itself.");
}
if (solutionSetDelta.getParallelism() != node.getParallelism()) {
throw new CompilerException("It is currently not supported that the final operator of the step " + "function has a different parallelism than the iteration operator itself.");
}
IterationDescriptor descr = new IterationDescriptor(iterationNode, this.iterationIdEnumerator++);
this.iterations.put(iterationNode, descr);
vertex = null;
} else if (node instanceof SingleInputPlanNode) {
vertex = createSingleInputVertex((SingleInputPlanNode) node);
} else if (node instanceof DualInputPlanNode) {
vertex = createDualInputVertex((DualInputPlanNode) node);
} else if (node instanceof NAryUnionPlanNode) {
// skip the union for now
vertex = null;
} else if (node instanceof BulkPartialSolutionPlanNode) {
// create a head node (or not, if it is merged into its successor)
vertex = createBulkIterationHead((BulkPartialSolutionPlanNode) node);
} else if (node instanceof SolutionSetPlanNode) {
// we adjust the joins / cogroups that go into the solution set here
for (Channel c : node.getOutgoingChannels()) {
DualInputPlanNode target = (DualInputPlanNode) c.getTarget();
JobVertex accessingVertex = this.vertices.get(target);
TaskConfig conf = new TaskConfig(accessingVertex.getConfiguration());
int inputNum = c == target.getInput1() ? 0 : c == target.getInput2() ? 1 : -1;
// sanity checks
if (inputNum == -1) {
throw new CompilerException();
}
// adjust the driver
if (conf.getDriver().equals(JoinDriver.class)) {
conf.setDriver(inputNum == 0 ? JoinWithSolutionSetFirstDriver.class : JoinWithSolutionSetSecondDriver.class);
} else if (conf.getDriver().equals(CoGroupDriver.class)) {
conf.setDriver(inputNum == 0 ? CoGroupWithSolutionSetFirstDriver.class : CoGroupWithSolutionSetSecondDriver.class);
} else {
throw new CompilerException("Found join with solution set using incompatible operator (only Join/CoGroup are valid).");
}
}
// make sure we do not visit this node again. for that, we add a 'already seen' entry into one of the sets
this.chainedTasks.put(node, ALREADY_VISITED_PLACEHOLDER);
vertex = null;
} else if (node instanceof WorksetPlanNode) {
// create the iteration head here
vertex = createWorksetIterationHead((WorksetPlanNode) node);
} else {
throw new CompilerException("Unrecognized node type: " + node.getClass().getName());
}
} catch (Exception e) {
throw new CompilerException("Error translating node '" + node + "': " + e.getMessage(), e);
}
// check if a vertex was created, or if it was chained or skipped
if (vertex != null) {
// set parallelism
int pd = node.getParallelism();
vertex.setParallelism(pd);
vertex.setMaxParallelism(pd);
vertex.setSlotSharingGroup(sharingGroup);
// check whether this vertex is part of an iteration step function
if (this.currentIteration != null) {
// check that the task has the same parallelism as the iteration as such
PlanNode iterationNode = (PlanNode) this.currentIteration;
if (iterationNode.getParallelism() < pd) {
throw new CompilerException("Error: All functions that are part of an iteration must have the same, or a lower, parallelism than the iteration operator.");
}
// store the id of the iterations the step functions participate in
IterationDescriptor descr = this.iterations.get(this.currentIteration);
new TaskConfig(vertex.getConfiguration()).setIterationId(descr.getId());
}
// store in the map
this.vertices.put(node, vertex);
}
// returning true causes deeper descend
return true;
}
use of org.apache.flink.optimizer.plan.WorksetIterationPlanNode in project flink by apache.
the class WorksetIterationNode method instantiate.
@SuppressWarnings("unchecked")
@Override
protected void instantiate(OperatorDescriptorDual operator, Channel solutionSetIn, Channel worksetIn, List<Set<? extends NamedChannel>> broadcastPlanChannels, List<PlanNode> target, CostEstimator estimator, RequestedGlobalProperties globPropsReqSolutionSet, RequestedGlobalProperties globPropsReqWorkset, RequestedLocalProperties locPropsReqSolutionSet, RequestedLocalProperties locPropsReqWorkset) {
// check for pipeline breaking using hash join with build on the solution set side
placePipelineBreakersIfNecessary(DriverStrategy.HYBRIDHASH_BUILD_FIRST, solutionSetIn, worksetIn);
// NOTES ON THE ENUMERATION OF THE STEP FUNCTION PLANS:
// Whenever we instantiate the iteration, we enumerate new candidates for the step function.
// That way, we make sure we have an appropriate plan for each candidate for the initial partial solution,
// we have a fitting candidate for the step function (often, work is pushed out of the step function).
// Among the candidates of the step function, we keep only those that meet the requested properties of the
// current candidate initial partial solution. That makes sure these properties exist at the beginning of
// every iteration.
// 1) Because we enumerate multiple times, we may need to clean the cached plans
// before starting another enumeration
this.nextWorkset.accept(PlanCacheCleaner.INSTANCE);
this.solutionSetDelta.accept(PlanCacheCleaner.INSTANCE);
// 2) Give the partial solution the properties of the current candidate for the initial partial solution
// This concerns currently only the workset.
this.worksetNode.setCandidateProperties(worksetIn.getGlobalProperties(), worksetIn.getLocalProperties(), worksetIn);
this.solutionSetNode.setCandidateProperties(this.partitionedProperties, new LocalProperties(), solutionSetIn);
final SolutionSetPlanNode sspn = this.solutionSetNode.getCurrentSolutionSetPlanNode();
final WorksetPlanNode wspn = this.worksetNode.getCurrentWorksetPlanNode();
// 3) Get the alternative plans
List<PlanNode> solutionSetDeltaCandidates = this.solutionSetDelta.getAlternativePlans(estimator);
List<PlanNode> worksetCandidates = this.nextWorkset.getAlternativePlans(estimator);
// 4) Throw away all that are not compatible with the properties currently requested to the
// initial partial solution
// Make sure that the workset candidates fulfill the input requirements
{
List<PlanNode> newCandidates = new ArrayList<PlanNode>();
for (Iterator<PlanNode> planDeleter = worksetCandidates.iterator(); planDeleter.hasNext(); ) {
PlanNode candidate = planDeleter.next();
GlobalProperties atEndGlobal = candidate.getGlobalProperties();
LocalProperties atEndLocal = candidate.getLocalProperties();
FeedbackPropertiesMeetRequirementsReport report = candidate.checkPartialSolutionPropertiesMet(wspn, atEndGlobal, atEndLocal);
if (report == FeedbackPropertiesMeetRequirementsReport.NO_PARTIAL_SOLUTION) {
// depends only through broadcast variable on the workset solution
} else if (report == FeedbackPropertiesMeetRequirementsReport.NOT_MET) {
// attach a no-op node through which we create the properties of the original input
Channel toNoOp = new Channel(candidate);
globPropsReqWorkset.parameterizeChannel(toNoOp, false, nextWorksetRootConnection.getDataExchangeMode(), false);
locPropsReqWorkset.parameterizeChannel(toNoOp);
NoOpUnaryUdfOp noOpUnaryUdfOp = new NoOpUnaryUdfOp<>();
noOpUnaryUdfOp.setInput(candidate.getProgramOperator());
UnaryOperatorNode rebuildWorksetPropertiesNode = new UnaryOperatorNode("Rebuild Workset Properties", noOpUnaryUdfOp, true);
rebuildWorksetPropertiesNode.setParallelism(candidate.getParallelism());
SingleInputPlanNode rebuildWorksetPropertiesPlanNode = new SingleInputPlanNode(rebuildWorksetPropertiesNode, "Rebuild Workset Properties", toNoOp, DriverStrategy.UNARY_NO_OP);
rebuildWorksetPropertiesPlanNode.initProperties(toNoOp.getGlobalProperties(), toNoOp.getLocalProperties());
estimator.costOperator(rebuildWorksetPropertiesPlanNode);
GlobalProperties atEndGlobalModified = rebuildWorksetPropertiesPlanNode.getGlobalProperties();
LocalProperties atEndLocalModified = rebuildWorksetPropertiesPlanNode.getLocalProperties();
if (!(atEndGlobalModified.equals(atEndGlobal) && atEndLocalModified.equals(atEndLocal))) {
FeedbackPropertiesMeetRequirementsReport report2 = candidate.checkPartialSolutionPropertiesMet(wspn, atEndGlobalModified, atEndLocalModified);
if (report2 != FeedbackPropertiesMeetRequirementsReport.NOT_MET) {
newCandidates.add(rebuildWorksetPropertiesPlanNode);
}
}
// remove the original operator and add the modified candidate
planDeleter.remove();
}
}
worksetCandidates.addAll(newCandidates);
}
if (worksetCandidates.isEmpty()) {
return;
}
// sanity check the solution set delta
for (PlanNode solutionSetDeltaCandidate : solutionSetDeltaCandidates) {
SingleInputPlanNode candidate = (SingleInputPlanNode) solutionSetDeltaCandidate;
GlobalProperties gp = candidate.getGlobalProperties();
if (gp.getPartitioning() != PartitioningProperty.HASH_PARTITIONED || gp.getPartitioningFields() == null || !gp.getPartitioningFields().equals(this.solutionSetKeyFields)) {
throw new CompilerException("Bug: The solution set delta is not partitioned.");
}
}
// 5) Create a candidate for the Iteration Node for every remaining plan of the step function.
final GlobalProperties gp = new GlobalProperties();
gp.setHashPartitioned(this.solutionSetKeyFields);
gp.addUniqueFieldCombination(this.solutionSetKeyFields);
LocalProperties lp = LocalProperties.EMPTY.addUniqueFields(this.solutionSetKeyFields);
// take all combinations of solution set delta and workset plans
for (PlanNode solutionSetCandidate : solutionSetDeltaCandidates) {
for (PlanNode worksetCandidate : worksetCandidates) {
// check whether they have the same operator at their latest branching point
if (this.singleRoot.areBranchCompatible(solutionSetCandidate, worksetCandidate)) {
SingleInputPlanNode siSolutionDeltaCandidate = (SingleInputPlanNode) solutionSetCandidate;
boolean immediateDeltaUpdate;
// check whether we need a dedicated solution set delta operator, or whether we can update on the fly
if (siSolutionDeltaCandidate.getInput().getShipStrategy() == ShipStrategyType.FORWARD && this.solutionDeltaImmediatelyAfterSolutionJoin) {
// sanity check the node and connection
if (siSolutionDeltaCandidate.getDriverStrategy() != DriverStrategy.UNARY_NO_OP || siSolutionDeltaCandidate.getInput().getLocalStrategy() != LocalStrategy.NONE) {
throw new CompilerException("Invalid Solution set delta node.");
}
solutionSetCandidate = siSolutionDeltaCandidate.getInput().getSource();
immediateDeltaUpdate = true;
} else {
// was not partitioned, we need to keep this node.
// mark that we materialize the input
siSolutionDeltaCandidate.getInput().setTempMode(TempMode.PIPELINE_BREAKER);
immediateDeltaUpdate = false;
}
WorksetIterationPlanNode wsNode = new WorksetIterationPlanNode(this, this.getOperator().getName(), solutionSetIn, worksetIn, sspn, wspn, worksetCandidate, solutionSetCandidate);
wsNode.setImmediateSolutionSetUpdate(immediateDeltaUpdate);
wsNode.initProperties(gp, lp);
target.add(wsNode);
}
}
}
}
use of org.apache.flink.optimizer.plan.WorksetIterationPlanNode in project flink by apache.
the class JavaApiPostPass method traverse.
protected void traverse(PlanNode node) {
if (!alreadyDone.add(node)) {
// already worked on that one
return;
}
// distinguish the node types
if (node instanceof SinkPlanNode) {
// descend to the input channel
SinkPlanNode sn = (SinkPlanNode) node;
Channel inchannel = sn.getInput();
traverseChannel(inchannel);
} else if (node instanceof SourcePlanNode) {
TypeInformation<?> typeInfo = getTypeInfoFromSource((SourcePlanNode) node);
((SourcePlanNode) node).setSerializer(createSerializer(typeInfo));
} else if (node instanceof BulkIterationPlanNode) {
BulkIterationPlanNode iterationNode = (BulkIterationPlanNode) node;
if (iterationNode.getRootOfStepFunction() instanceof NAryUnionPlanNode) {
throw new CompilerException("Optimizer cannot compile an iteration step function where next partial solution is created by a Union node.");
}
// traverse the termination criterion for the first time. create schema only, no utilities. Needed in case of intermediate termination criterion
if (iterationNode.getRootOfTerminationCriterion() != null) {
SingleInputPlanNode addMapper = (SingleInputPlanNode) iterationNode.getRootOfTerminationCriterion();
traverseChannel(addMapper.getInput());
}
BulkIterationBase<?> operator = (BulkIterationBase<?>) iterationNode.getProgramOperator();
// set the serializer
iterationNode.setSerializerForIterationChannel(createSerializer(operator.getOperatorInfo().getOutputType()));
// done, we can now propagate our info down
traverseChannel(iterationNode.getInput());
traverse(iterationNode.getRootOfStepFunction());
} else if (node instanceof WorksetIterationPlanNode) {
WorksetIterationPlanNode iterationNode = (WorksetIterationPlanNode) node;
if (iterationNode.getNextWorkSetPlanNode() instanceof NAryUnionPlanNode) {
throw new CompilerException("Optimizer cannot compile a workset iteration step function where the next workset is produced by a Union node.");
}
if (iterationNode.getSolutionSetDeltaPlanNode() instanceof NAryUnionPlanNode) {
throw new CompilerException("Optimizer cannot compile a workset iteration step function where the solution set delta is produced by a Union node.");
}
DeltaIterationBase<?, ?> operator = (DeltaIterationBase<?, ?>) iterationNode.getProgramOperator();
// set the serializers and comparators for the workset iteration
iterationNode.setSolutionSetSerializer(createSerializer(operator.getOperatorInfo().getFirstInputType()));
iterationNode.setWorksetSerializer(createSerializer(operator.getOperatorInfo().getSecondInputType()));
iterationNode.setSolutionSetComparator(createComparator(operator.getOperatorInfo().getFirstInputType(), iterationNode.getSolutionSetKeyFields(), getSortOrders(iterationNode.getSolutionSetKeyFields(), null)));
// traverse the inputs
traverseChannel(iterationNode.getInput1());
traverseChannel(iterationNode.getInput2());
// traverse the step function
traverse(iterationNode.getSolutionSetDeltaPlanNode());
traverse(iterationNode.getNextWorkSetPlanNode());
} else if (node instanceof SingleInputPlanNode) {
SingleInputPlanNode sn = (SingleInputPlanNode) node;
if (!(sn.getOptimizerNode().getOperator() instanceof SingleInputOperator)) {
// Special case for delta iterations
if (sn.getOptimizerNode().getOperator() instanceof NoOpUnaryUdfOp) {
traverseChannel(sn.getInput());
return;
} else {
throw new RuntimeException("Wrong operator type found in post pass.");
}
}
SingleInputOperator<?, ?, ?> singleInputOperator = (SingleInputOperator<?, ?, ?>) sn.getOptimizerNode().getOperator();
// parameterize the node's driver strategy
for (int i = 0; i < sn.getDriverStrategy().getNumRequiredComparators(); i++) {
sn.setComparator(createComparator(singleInputOperator.getOperatorInfo().getInputType(), sn.getKeys(i), getSortOrders(sn.getKeys(i), sn.getSortOrders(i))), i);
}
// done, we can now propagate our info down
traverseChannel(sn.getInput());
// don't forget the broadcast inputs
for (Channel c : sn.getBroadcastInputs()) {
traverseChannel(c);
}
} else if (node instanceof DualInputPlanNode) {
DualInputPlanNode dn = (DualInputPlanNode) node;
if (!(dn.getOptimizerNode().getOperator() instanceof DualInputOperator)) {
throw new RuntimeException("Wrong operator type found in post pass.");
}
DualInputOperator<?, ?, ?, ?> dualInputOperator = (DualInputOperator<?, ?, ?, ?>) dn.getOptimizerNode().getOperator();
// parameterize the node's driver strategy
if (dn.getDriverStrategy().getNumRequiredComparators() > 0) {
dn.setComparator1(createComparator(dualInputOperator.getOperatorInfo().getFirstInputType(), dn.getKeysForInput1(), getSortOrders(dn.getKeysForInput1(), dn.getSortOrders())));
dn.setComparator2(createComparator(dualInputOperator.getOperatorInfo().getSecondInputType(), dn.getKeysForInput2(), getSortOrders(dn.getKeysForInput2(), dn.getSortOrders())));
dn.setPairComparator(createPairComparator(dualInputOperator.getOperatorInfo().getFirstInputType(), dualInputOperator.getOperatorInfo().getSecondInputType()));
}
traverseChannel(dn.getInput1());
traverseChannel(dn.getInput2());
// don't forget the broadcast inputs
for (Channel c : dn.getBroadcastInputs()) {
traverseChannel(c);
}
} else // catch the sources of the iterative step functions
if (node instanceof BulkPartialSolutionPlanNode || node instanceof SolutionSetPlanNode || node instanceof WorksetPlanNode) {
// Do nothing :D
} else if (node instanceof NAryUnionPlanNode) {
// Traverse to all child channels
for (Channel channel : node.getInputs()) {
traverseChannel(channel);
}
} else {
throw new CompilerPostPassException("Unknown node type encountered: " + node.getClass().getName());
}
}
use of org.apache.flink.optimizer.plan.WorksetIterationPlanNode in project flink by apache.
the class PlanFinalizer method preVisit.
@Override
public boolean preVisit(PlanNode visitable) {
// if we come here again, prevent a further descend
if (!this.allNodes.add(visitable)) {
return false;
}
if (visitable instanceof SinkPlanNode) {
this.sinks.add((SinkPlanNode) visitable);
} else if (visitable instanceof SourcePlanNode) {
this.sources.add((SourcePlanNode) visitable);
} else if (visitable instanceof BinaryUnionPlanNode) {
BinaryUnionPlanNode unionNode = (BinaryUnionPlanNode) visitable;
if (unionNode.unionsStaticAndDynamicPath()) {
unionNode.setDriverStrategy(DriverStrategy.UNION_WITH_CACHED);
}
} else if (visitable instanceof BulkPartialSolutionPlanNode) {
// tell the partial solution about the iteration node that contains it
final BulkPartialSolutionPlanNode pspn = (BulkPartialSolutionPlanNode) visitable;
final IterationPlanNode iteration = this.stackOfIterationNodes.peekLast();
// sanity check!
if (iteration == null || !(iteration instanceof BulkIterationPlanNode)) {
throw new CompilerException("Bug: Error finalizing the plan. " + "Cannot associate the node for a partial solutions with its containing iteration.");
}
pspn.setContainingIterationNode((BulkIterationPlanNode) iteration);
} else if (visitable instanceof WorksetPlanNode) {
// tell the partial solution about the iteration node that contains it
final WorksetPlanNode wspn = (WorksetPlanNode) visitable;
final IterationPlanNode iteration = this.stackOfIterationNodes.peekLast();
// sanity check!
if (iteration == null || !(iteration instanceof WorksetIterationPlanNode)) {
throw new CompilerException("Bug: Error finalizing the plan. " + "Cannot associate the node for a partial solutions with its containing iteration.");
}
wspn.setContainingIterationNode((WorksetIterationPlanNode) iteration);
} else if (visitable instanceof SolutionSetPlanNode) {
// tell the partial solution about the iteration node that contains it
final SolutionSetPlanNode sspn = (SolutionSetPlanNode) visitable;
final IterationPlanNode iteration = this.stackOfIterationNodes.peekLast();
// sanity check!
if (iteration == null || !(iteration instanceof WorksetIterationPlanNode)) {
throw new CompilerException("Bug: Error finalizing the plan. " + "Cannot associate the node for a partial solutions with its containing iteration.");
}
sspn.setContainingIterationNode((WorksetIterationPlanNode) iteration);
}
// one child candidate could have been referenced by multiple parents.
for (Channel conn : visitable.getInputs()) {
conn.setTarget(visitable);
conn.getSource().addOutgoingChannel(conn);
}
for (Channel c : visitable.getBroadcastInputs()) {
c.setTarget(visitable);
c.getSource().addOutgoingChannel(c);
}
// count the memory consumption
this.memoryConsumerWeights += visitable.getMemoryConsumerWeight();
for (Channel c : visitable.getInputs()) {
if (c.getLocalStrategy().dams()) {
this.memoryConsumerWeights++;
}
if (c.getTempMode() != TempMode.NONE) {
this.memoryConsumerWeights++;
}
}
for (Channel c : visitable.getBroadcastInputs()) {
if (c.getLocalStrategy().dams()) {
this.memoryConsumerWeights++;
}
if (c.getTempMode() != TempMode.NONE) {
this.memoryConsumerWeights++;
}
}
// pass the visitor to the iteraton's step function
if (visitable instanceof IterationPlanNode) {
// push the iteration node onto the stack
final IterationPlanNode iterNode = (IterationPlanNode) visitable;
this.stackOfIterationNodes.addLast(iterNode);
// recurse
((IterationPlanNode) visitable).acceptForStepFunction(this);
// pop the iteration node from the stack
this.stackOfIterationNodes.removeLast();
}
return true;
}
use of org.apache.flink.optimizer.plan.WorksetIterationPlanNode in project flink by apache.
the class CoGroupSolutionSetFirstTest method testCoGroupSolutionSet.
@Test
public void testCoGroupSolutionSet() {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple1<Integer>> raw = env.readCsvFile(IN_FILE).types(Integer.class);
DeltaIteration<Tuple1<Integer>, Tuple1<Integer>> iteration = raw.iterateDelta(raw, 1000, 0);
DataSet<Tuple1<Integer>> test = iteration.getWorkset().map(new SimpleMap());
DataSet<Tuple1<Integer>> delta = iteration.getSolutionSet().coGroup(test).where(0).equalTo(0).with(new SimpleCGroup());
DataSet<Tuple1<Integer>> feedback = iteration.getWorkset().map(new SimpleMap());
DataSet<Tuple1<Integer>> result = iteration.closeWith(delta, feedback);
result.output(new DiscardingOutputFormat<Tuple1<Integer>>());
Plan plan = env.createProgramPlan();
OptimizedPlan oPlan = null;
try {
oPlan = compileNoStats(plan);
} catch (CompilerException e) {
Assert.fail(e.getMessage());
}
oPlan.accept(new Visitor<PlanNode>() {
@Override
public boolean preVisit(PlanNode visitable) {
if (visitable instanceof WorksetIterationPlanNode) {
PlanNode deltaNode = ((WorksetIterationPlanNode) visitable).getSolutionSetDeltaPlanNode();
//get the CoGroup
DualInputPlanNode dpn = (DualInputPlanNode) deltaNode.getInputs().iterator().next().getSource();
Channel in1 = dpn.getInput1();
Channel in2 = dpn.getInput2();
Assert.assertTrue(in1.getLocalProperties().getOrdering() == null);
Assert.assertTrue(in2.getLocalProperties().getOrdering() != null);
Assert.assertTrue(in2.getLocalProperties().getOrdering().getInvolvedIndexes().contains(0));
Assert.assertTrue(in1.getShipStrategy() == ShipStrategyType.FORWARD);
Assert.assertTrue(in2.getShipStrategy() == ShipStrategyType.PARTITION_HASH);
return false;
}
return true;
}
@Override
public void postVisit(PlanNode visitable) {
}
});
}
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