eu.stratosphere.compiler.plantranslate.NepheleJobGraphGenerator Maven / Gradle / Ivy
/***********************************************************************************************************************
* Copyright (C) 2010-2013 by the Stratosphere project (http://stratosphere.eu)
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
* an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
* specific language governing permissions and limitations under the License.
**********************************************************************************************************************/
package eu.stratosphere.compiler.plantranslate;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import eu.stratosphere.api.common.aggregators.AggregatorRegistry;
import eu.stratosphere.api.common.aggregators.AggregatorWithName;
import eu.stratosphere.api.common.aggregators.ConvergenceCriterion;
import eu.stratosphere.api.common.aggregators.LongSumAggregator;
import eu.stratosphere.api.common.distributions.DataDistribution;
import eu.stratosphere.api.common.typeutils.TypeComparatorFactory;
import eu.stratosphere.api.common.typeutils.TypeSerializerFactory;
import eu.stratosphere.compiler.CompilerException;
import eu.stratosphere.compiler.dag.TempMode;
import eu.stratosphere.compiler.plan.BulkIterationPlanNode;
import eu.stratosphere.compiler.plan.BulkPartialSolutionPlanNode;
import eu.stratosphere.compiler.plan.Channel;
import eu.stratosphere.compiler.plan.DualInputPlanNode;
import eu.stratosphere.compiler.plan.IterationPlanNode;
import eu.stratosphere.compiler.plan.NAryUnionPlanNode;
import eu.stratosphere.compiler.plan.OptimizedPlan;
import eu.stratosphere.compiler.plan.PlanNode;
import eu.stratosphere.compiler.plan.SingleInputPlanNode;
import eu.stratosphere.compiler.plan.SinkPlanNode;
import eu.stratosphere.compiler.plan.SolutionSetPlanNode;
import eu.stratosphere.compiler.plan.SourcePlanNode;
import eu.stratosphere.compiler.plan.WorksetIterationPlanNode;
import eu.stratosphere.compiler.plan.WorksetPlanNode;
import eu.stratosphere.configuration.Configuration;
import eu.stratosphere.configuration.GlobalConfiguration;
import eu.stratosphere.configuration.ConfigConstants;
import eu.stratosphere.nephele.io.DistributionPattern;
import eu.stratosphere.nephele.io.channels.ChannelType;
import eu.stratosphere.nephele.jobgraph.AbstractJobOutputVertex;
import eu.stratosphere.nephele.jobgraph.AbstractJobVertex;
import eu.stratosphere.nephele.jobgraph.JobGraph;
import eu.stratosphere.nephele.jobgraph.JobGraphDefinitionException;
import eu.stratosphere.nephele.jobgraph.JobInputVertex;
import eu.stratosphere.nephele.jobgraph.JobOutputVertex;
import eu.stratosphere.nephele.jobgraph.JobTaskVertex;
import eu.stratosphere.nephele.template.AbstractInputTask;
import eu.stratosphere.pact.runtime.iterative.convergence.WorksetEmptyConvergenceCriterion;
import eu.stratosphere.pact.runtime.iterative.io.FakeOutputTask;
import eu.stratosphere.pact.runtime.iterative.task.IterationHeadPactTask;
import eu.stratosphere.pact.runtime.iterative.task.IterationIntermediatePactTask;
import eu.stratosphere.pact.runtime.iterative.task.IterationSynchronizationSinkTask;
import eu.stratosphere.pact.runtime.iterative.task.IterationTailPactTask;
import eu.stratosphere.pact.runtime.shipping.ShipStrategyType;
import eu.stratosphere.pact.runtime.task.CoGroupDriver;
import eu.stratosphere.pact.runtime.task.DataSinkTask;
import eu.stratosphere.pact.runtime.task.DataSourceTask;
import eu.stratosphere.pact.runtime.task.DriverStrategy;
import eu.stratosphere.pact.runtime.task.JoinWithSolutionSetCoGroupDriver.SolutionSetFirstCoGroupDriver;
import eu.stratosphere.pact.runtime.task.JoinWithSolutionSetCoGroupDriver.SolutionSetSecondCoGroupDriver;
import eu.stratosphere.pact.runtime.task.JoinWithSolutionSetMatchDriver.SolutionSetFirstJoinDriver;
import eu.stratosphere.pact.runtime.task.JoinWithSolutionSetMatchDriver.SolutionSetSecondJoinDriver;
import eu.stratosphere.pact.runtime.task.MatchDriver;
import eu.stratosphere.pact.runtime.task.NoOpDriver;
import eu.stratosphere.pact.runtime.task.RegularPactTask;
import eu.stratosphere.pact.runtime.task.chaining.ChainedDriver;
import eu.stratosphere.pact.runtime.task.util.LocalStrategy;
import eu.stratosphere.pact.runtime.task.util.TaskConfig;
import eu.stratosphere.util.Visitor;
/**
* This component translates the optimizer's resulting plan a nephele job graph. The
* translation is a one to one mapping. All decisions are made by the optimizer, this class
* simply creates nephele data structures and descriptions corresponding to the optimizer's
* result.
*
* The basic method of operation is a top down traversal over the plan graph. On the way down, tasks are created
* for the plan nodes, on the way back up, the nodes connect their predecessor.
*/
public class NepheleJobGraphGenerator implements Visitor {
public static final String MERGE_ITERATION_AUX_TASKS_KEY = "pact.compiler.merge-iteration-aux";
private static final boolean mergeIterationAuxTasks = GlobalConfiguration.getBoolean(
MERGE_ITERATION_AUX_TASKS_KEY, true);
private static final Log LOG = LogFactory.getLog(NepheleJobGraphGenerator.class);
// ------------------------------------------------------------------------
private JobGraph jobGraph; // the job that is currently built
private Map vertices; // a map from optimizer nodes to nephele vertices
private Map chainedTasks; // a map from optimizer nodes to nephele vertices
private Map iterations;
private List chainedTasksInSequence;
private List auxVertices; // auxiliary vertices which are added during job graph generation
private AbstractJobVertex maxDegreeVertex; // the vertex with the highest degree of parallelism
private final int defaultMaxFan;
private final float defaultSortSpillingThreshold;
private int iterationIdEnumerator = 1;
private IterationPlanNode currentIteration; // hack: as long as no nesting is possible, remember the enclosing iteration
// ------------------------------------------------------------------------
/**
* Creates a new job graph generator that uses the default values for its resource configuration.
*/
public NepheleJobGraphGenerator() {
this.defaultMaxFan = ConfigConstants.DEFAULT_SPILLING_MAX_FAN;
this.defaultSortSpillingThreshold = ConfigConstants.DEFAULT_SORT_SPILLING_THRESHOLD;
}
public NepheleJobGraphGenerator(Configuration config) {
this.defaultMaxFan = config.getInteger(ConfigConstants.DEFAULT_SPILLING_MAX_FAN_KEY,
ConfigConstants.DEFAULT_SPILLING_MAX_FAN);
this.defaultSortSpillingThreshold = config.getFloat(ConfigConstants.DEFAULT_SORT_SPILLING_THRESHOLD_KEY,
ConfigConstants.DEFAULT_SORT_SPILLING_THRESHOLD);
}
/**
* Translates a {@link eu.stratosphere.compiler.plan.OptimizedPlan} into a
* {@link eu.stratosphere.nephele.jobgraph.JobGraph}.
* This is an 1-to-1 mapping. No optimization whatsoever is applied.
*
* @param pactPlan
* Optimized PACT plan that is translated into a JobGraph.
* @return JobGraph generated from PACT plan.
*/
public JobGraph compileJobGraph(OptimizedPlan pactPlan) {
this.jobGraph = new JobGraph(pactPlan.getJobName());
this.vertices = new HashMap();
this.chainedTasks = new HashMap();
this.chainedTasksInSequence = new ArrayList();
this.auxVertices = new ArrayList();
this.iterations = new HashMap();
this.maxDegreeVertex = null;
// generate Nephele job graph
pactPlan.accept(this);
// finalize the iterations
for (IterationDescriptor iteration : this.iterations.values()) {
if (iteration.getIterationNode() instanceof BulkIterationPlanNode) {
finalizeBulkIteration(iteration);
} else if (iteration.getIterationNode() instanceof WorksetIterationPlanNode) {
finalizeWorksetIteration(iteration);
} else {
throw new CompilerException();
}
}
// now that the traversal is done, we have the chained tasks write their configs into their
// parents' configurations
for (int i = 0; i < this.chainedTasksInSequence.size(); i++) {
TaskInChain tic = this.chainedTasksInSequence.get(i);
TaskConfig t = new TaskConfig(tic.getContainingVertex().getConfiguration());
t.addChainedTask(tic.getChainedTask(), tic.getTaskConfig(), tic.getTaskName());
}
// now that all have been created, make sure that all share their instances with the one
// with the highest degree of parallelism
if (pactPlan.getInstanceTypeName() != null) {
this.maxDegreeVertex.setInstanceType(pactPlan.getInstanceTypeName());
} else {
LOG.warn("No instance type assigned to Nephele JobVertex.");
}
for (AbstractJobVertex vertex : this.vertices.values()) {
if (vertex != this.maxDegreeVertex) {
vertex.setVertexToShareInstancesWith(this.maxDegreeVertex);
}
}
for (AbstractJobVertex vertex : this.auxVertices) {
if (vertex != this.maxDegreeVertex) {
vertex.setVertexToShareInstancesWith(this.maxDegreeVertex);
}
}
JobGraph graph = this.jobGraph;
// release all references again
this.maxDegreeVertex = null;
this.vertices = null;
this.chainedTasks = null;
this.chainedTasksInSequence = null;
this.auxVertices = null;
this.iterations = null;
this.jobGraph = null;
// return job graph
return graph;
}
/**
* 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 eu.stratosphere.util.Visitor#preVisit(eu.stratosphere.pact.common.plan.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 AbstractJobVertex 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 DOP as the iteration.
// because the tail must have the same DOP as the head, we can only merge the last
// operator with the tail, if they have the same DOP. not merging is currently not
// implemented
PlanNode root = iterationNode.getRootOfStepFunction();
if (root.getDegreeOfParallelism() != node.getDegreeOfParallelism() ||
root.getSubtasksPerInstance() != node.getSubtasksPerInstance())
{
throw new CompilerException("It is currently not supported that the final operator of the step " +
"function has a different degree of 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.getDegreeOfParallelism() != node.getDegreeOfParallelism() ||
nextWorkSet.getSubtasksPerInstance() != node.getSubtasksPerInstance())
{
throw new CompilerException("It is currently not supported that the final operator of the step " +
"function has a different degree of parallelism than the iteration operator itself.");
}
if (solutionSetDelta.getDegreeOfParallelism() != node.getDegreeOfParallelism() ||
solutionSetDelta.getSubtasksPerInstance() != node.getSubtasksPerInstance())
{
throw new CompilerException("It is currently not supported that the final operator of the step " +
"function has a different degree of 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) {
// skip the solution set place holder. we create the head at the workset place holder
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 degree of parallelism
int pd = node.getDegreeOfParallelism();
vertex.setNumberOfSubtasks(pd);
// check whether this is the vertex with the highest degree of parallelism
if (this.maxDegreeVertex == null || this.maxDegreeVertex.getNumberOfSubtasks() < pd) {
this.maxDegreeVertex = vertex;
}
// set the number of tasks per instance
if (node.getSubtasksPerInstance() >= 1) {
vertex.setNumberOfSubtasksPerInstance(node.getSubtasksPerInstance());
}
// check whether this vertex is part of an iteration step function
if (this.currentIteration != null) {
// check that the task has the same DOP as the iteration as such
PlanNode iterationNode = (PlanNode) this.currentIteration;
if (iterationNode.getDegreeOfParallelism() != pd) {
throw new CompilerException("Error: All functions that are part of an iteration must have the same degree-of-parallelism as that iteration.");
}
if (iterationNode.getSubtasksPerInstance() != node.getSubtasksPerInstance()) {
throw new CompilerException("Error: All functions that are part of an iteration must have the same subtasks-per-instance as that iteration.");
}
// 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;
}
/**
* This method implements the post-visit during the depth-first traversal. When the post visit happens,
* all of the descendants have been processed, so this method connects all of the current node's
* predecessors to the current node.
*
* @param node
* The node currently processed during the post-visit.
* @see eu.stratosphere.util.Visitor#postVisit(eu.stratosphere.pact.common.plan.Visitable)
*/
@Override
public void postVisit(PlanNode node) {
try {
// --------- check special cases for which we handle post visit differently ----------
// skip data source node (they have no inputs)
// also, do nothing for union nodes, we connect them later when gathering the inputs for a task
// solution sets have no input. the initial solution set input is connected when the iteration node is in its postVisit
if (node instanceof SourcePlanNode || node instanceof NAryUnionPlanNode) {
return;
}
// check if we have an iteration. in that case, translate the step function now
if (node instanceof IterationPlanNode) {
// for now, prevent nested iterations
if (this.currentIteration != null) {
throw new CompilerException("Nested Iterations are not possible at the moment!");
}
this.currentIteration = (IterationPlanNode) node;
this.currentIteration.acceptForStepFunction(this);
this.currentIteration = null;
// inputs for initial bulk partial solution or initial workset are already connected to the iteration head in the head's post visit.
// connect the initial solution set now.
if (node instanceof WorksetIterationPlanNode) {
// connect the initial solution set
WorksetIterationPlanNode wsNode = (WorksetIterationPlanNode) node;
AbstractJobVertex headVertex = this.iterations.get(wsNode).getHeadTask();
TaskConfig headConfig = new TaskConfig(headVertex.getConfiguration());
int inputIndex = headConfig.getDriverStrategy().getNumInputs();
headConfig.setIterationHeadSolutionSetInputIndex(inputIndex);
translateChannel(wsNode.getInitialSolutionSetInput(), inputIndex, headVertex, headConfig);
}
return;
} else if (node instanceof SolutionSetPlanNode) {
// this represents an access into the solution set index.
// add the necessary information to all nodes that access the index
if (node.getOutgoingChannels().size() != 1) {
throw new CompilerException("Currently, only one join with the solution set is allowed.");
}
Channel c = node.getOutgoingChannels().get(0);
DualInputPlanNode target = (DualInputPlanNode) c.getTarget();
AbstractJobVertex 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(MatchDriver.class)) {
conf.setDriver(inputNum == 0 ? SolutionSetFirstJoinDriver.class : SolutionSetSecondJoinDriver.class);
}
else if (conf.getDriver().equals(CoGroupDriver.class)) {
conf.setDriver(inputNum == 0 ? SolutionSetFirstCoGroupDriver.class : SolutionSetSecondCoGroupDriver.class);
}
else {
throw new CompilerException("Found join with solution set using incompatible operator (only Join/CoGroup are valid.");
}
// set the serializer / comparator information
conf.setSolutionSetSerializer(((SolutionSetPlanNode) node).getContainingIterationNode().getSolutionSetSerializer());
// hack: for now, we need the prober in the workset iteration head task
IterationDescriptor iter = this.iterations.get(((SolutionSetPlanNode) node).getContainingIterationNode());
TaskConfig headConf = iter.getHeadConfig();
TypeSerializerFactory otherSerializer;
TypeComparatorFactory otherComparator;
if (inputNum == 0) {
otherSerializer = target.getInput2().getSerializer();
otherComparator = target.getComparator2();
} else {
otherSerializer = target.getInput1().getSerializer();
otherComparator = target.getComparator1();
}
headConf.setSolutionSetProberSerializer(otherSerializer);
headConf.setSolutionSetProberComparator(otherComparator);
headConf.setSolutionSetPairComparator(target.getPairComparator());
return;
}
// --------- Main Path: Translation of channels ----------
//
// There are two paths of translation: One for chained tasks (or merged tasks in general),
// which do not have their own task vertex. The other for tasks that have their own vertex,
// or are the primary task in a vertex (to which the others are chained).
final AbstractJobVertex targetVertex = this.vertices.get(node);
// check whether this node has its own task, or is merged with another one
if (targetVertex == null) {
// node's task is merged with another task. it is either chained, of a merged head vertex
// from an iteration
final TaskInChain chainedTask;
if ((chainedTask = this.chainedTasks.get(node)) != null) {
// Chained Task. Sanity check first...
final Iterator inConns = node.getInputs();
if (!inConns.hasNext()) {
throw new CompilerException("Bug: Found chained task with no input.");
}
final Channel inConn = inConns.next();
if (inConns.hasNext()) {
throw new CompilerException("Bug: Found a chained task with more than one input!");
}
if (inConn.getLocalStrategy() != null && inConn.getLocalStrategy() != LocalStrategy.NONE) {
throw new CompilerException("Bug: Found a chained task with an input local strategy.");
}
if (inConn.getShipStrategy() != null && inConn.getShipStrategy() != ShipStrategyType.FORWARD) {
throw new CompilerException("Bug: Found a chained task with an input ship strategy other than FORWARD.");
}
AbstractJobVertex container = chainedTask.getContainingVertex();
if (container == null) {
final PlanNode sourceNode = inConn.getSource();
container = this.vertices.get(sourceNode);
if (container == null) {
// predecessor is itself chained
container = this.chainedTasks.get(sourceNode).getContainingVertex();
if (container == null)
throw new IllegalStateException("Bug: Chained task predecessor has not been assigned its containing vertex.");
} else {
// predecessor is a proper task job vertex and this is the first chained task. add a forward connection entry.
new TaskConfig(container.getConfiguration()).addOutputShipStrategy(ShipStrategyType.FORWARD);
}
chainedTask.setContainingVertex(container);
}
// add info about the input serializer type
chainedTask.getTaskConfig().setInputSerializer(inConn.getSerializer(), 0);
// update name of container task
String containerTaskName = container.getName();
if(containerTaskName.startsWith("CHAIN ")) {
container.setName(containerTaskName+" -> "+chainedTask.getTaskName());
} else {
container.setName("CHAIN "+containerTaskName+" -> "+chainedTask.getTaskName());
}
this.chainedTasksInSequence.add(chainedTask);
return;
}
else if (node instanceof BulkPartialSolutionPlanNode ||
node instanceof WorksetPlanNode)
{
// merged iteration head task. the task that the head is merged with will take care of it
return;
} else {
throw new CompilerException("Bug: Unrecognized merged task vertex.");
}
}
// -------- Here, we translate non-chained tasks -------------
// create the config that will contain all the description of the inputs
final TaskConfig targetVertexConfig = new TaskConfig(targetVertex.getConfiguration());
// get the inputs. if this node is the head of an iteration, we obtain the inputs from the
// enclosing iteration node, because the inputs are the initial inputs to the iteration.
final Iterator inConns;
if (node instanceof BulkPartialSolutionPlanNode) {
inConns = ((BulkPartialSolutionPlanNode) node).getContainingIterationNode().getInputs();
// because the partial solution has its own vertex, is has only one (logical) input.
// note this in the task configuration
targetVertexConfig.setIterationHeadPartialSolutionOrWorksetInputIndex(0);
} else if (node instanceof WorksetPlanNode) {
WorksetPlanNode wspn = (WorksetPlanNode) node;
// input that is the initial workset
inConns = Collections.singleton(wspn.getContainingIterationNode().getInput2()).iterator();
// because we have a stand-alone (non-merged) workset iteration head, the initial workset will
// be input 0 and the solution set will be input 1
targetVertexConfig.setIterationHeadPartialSolutionOrWorksetInputIndex(0);
targetVertexConfig.setIterationHeadSolutionSetInputIndex(1);
} else {
inConns = node.getInputs();
}
if (!inConns.hasNext()) {
throw new CompilerException("Bug: Found a non-source task with no input.");
}
int inputIndex = 0;
while (inConns.hasNext()) {
Channel input = inConns.next();
inputIndex += translateChannel(input, inputIndex, targetVertex,targetVertexConfig);
}
} catch (Exception e) {
throw new CompilerException(
"An error occurred while translating the optimized plan to a nephele JobGraph: " + e.getMessage(), e);
}
}
private int translateChannel(Channel input, int inputIndex, AbstractJobVertex targetVertex,
TaskConfig targetVertexConfig) throws Exception
{
final PlanNode inputPlanNode = input.getSource();
final Iterator allInChannels;
if (inputPlanNode instanceof NAryUnionPlanNode) {
allInChannels = ((NAryUnionPlanNode) inputPlanNode).getListOfInputs().iterator();
}
else if (inputPlanNode instanceof BulkPartialSolutionPlanNode) {
if (this.vertices.get(inputPlanNode) == null) {
// merged iteration head
final BulkPartialSolutionPlanNode pspn = (BulkPartialSolutionPlanNode) inputPlanNode;
final BulkIterationPlanNode iterationNode = pspn.getContainingIterationNode();
// check if the iteration's input is a union
if (iterationNode.getInput().getSource() instanceof NAryUnionPlanNode) {
allInChannels = ((NAryUnionPlanNode) iterationNode.getInput().getSource()).getInputs();
} else {
allInChannels = Collections.singletonList(iterationNode.getInput()).iterator();
}
// also, set the index of the gate with the partial solution
targetVertexConfig.setIterationHeadPartialSolutionOrWorksetInputIndex(inputIndex);
} else {
// standalone iteration head
allInChannels = Collections.singletonList(input).iterator();
}
} else if (inputPlanNode instanceof WorksetPlanNode) {
if (this.vertices.get(inputPlanNode) == null) {
// merged iteration head
final WorksetPlanNode wspn = (WorksetPlanNode) inputPlanNode;
final WorksetIterationPlanNode iterationNode = wspn.getContainingIterationNode();
// check if the iteration's input is a union
if (iterationNode.getInput2().getSource() instanceof NAryUnionPlanNode) {
allInChannels = ((NAryUnionPlanNode) iterationNode.getInput2().getSource()).getInputs();
} else {
allInChannels = Collections.singletonList(iterationNode.getInput2()).iterator();
}
// also, set the index of the gate with the partial solution
targetVertexConfig.setIterationHeadPartialSolutionOrWorksetInputIndex(inputIndex);
} else {
// standalone iteration head
allInChannels = Collections.singletonList(input).iterator();
}
} else if (inputPlanNode instanceof SolutionSetPlanNode) {
// for now, skip connections with the solution set node, as this is a local index access (later to be parameterized here)
// rather than a vertex connection
return 0;
} else {
allInChannels = Collections.singletonList(input).iterator();
}
// check that the type serializer is consistent
TypeSerializerFactory typeSerFact = null;
// accounting for channels on the dynamic path
int numChannelsTotal = 0;
int numChannelsDynamicPath = 0;
int numDynamicSenderTasksTotal = 0;
// expand the channel to all the union channels, in case there is a union operator at its source
while (allInChannels.hasNext()) {
final Channel inConn = allInChannels.next();
// sanity check the common serializer
if (typeSerFact == null) {
typeSerFact = inConn.getSerializer();
} else if (!typeSerFact.equals(inConn.getSerializer())) {
throw new CompilerException("Conflicting types in union operator.");
}
final PlanNode sourceNode = inConn.getSource();
AbstractJobVertex sourceVertex = this.vertices.get(sourceNode);
TaskConfig sourceVertexConfig;
if (sourceVertex == null) {
// this predecessor is chained to another task or an iteration
final TaskInChain chainedTask;
final IterationDescriptor iteration;
if ((chainedTask = this.chainedTasks.get(sourceNode)) != null) {
// push chained task
if (chainedTask.getContainingVertex() == null)
throw new IllegalStateException("Bug: Chained task has not been assigned its containing vertex when connecting.");
sourceVertex = chainedTask.getContainingVertex();
sourceVertexConfig = chainedTask.getTaskConfig();
} else if ((iteration = this.iterations.get(sourceNode)) != null) {
// predecessor is an iteration
sourceVertex = iteration.getHeadTask();
sourceVertexConfig = iteration.getHeadFinalResultConfig();
} else {
throw new CompilerException("Bug: Could not resolve source node for a channel.");
}
} else {
// predecessor is its own vertex
sourceVertexConfig = new TaskConfig(sourceVertex.getConfiguration());
}
DistributionPattern pattern = connectJobVertices(
inConn, inputIndex, sourceVertex, sourceVertexConfig, targetVertex, targetVertexConfig);
// accounting on channels and senders
numChannelsTotal++;
if (inConn.isOnDynamicPath()) {
numChannelsDynamicPath++;
numDynamicSenderTasksTotal += getNumberOfSendersPerReceiver(pattern,
sourceVertex.getNumberOfSubtasks(), targetVertex.getNumberOfSubtasks());
}
}
// for the iterations, check that the number of dynamic channels is the same as the number
// of channels for this logical input. this condition is violated at the moment, if there
// is a union between nodes on the static and nodes on the dynamic path
if (numChannelsDynamicPath > 0 && numChannelsTotal != numChannelsDynamicPath) {
throw new CompilerException("Error: It is currently not supported to union between dynamic and static path in an iteration.");
}
if (numDynamicSenderTasksTotal > 0) {
targetVertexConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(inputIndex, numDynamicSenderTasksTotal);
}
// the local strategy is added only once. in non-union case that is the actual edge,
// in the union case, it is the edge between union and the target node
addLocalInfoFromChannelToConfig(input, targetVertexConfig, inputIndex);
return 1;
}
private int getNumberOfSendersPerReceiver(DistributionPattern pattern, int numSenders, int numReceivers) {
if (pattern == DistributionPattern.BIPARTITE) {
return numSenders;
} else if (pattern == DistributionPattern.POINTWISE) {
if (numSenders != numReceivers) {
throw new CompilerException("Error: A changing degree of parallelism is currently " +
"not supported between tasks within an iteration.");
} else {
return 1;
}
} else {
throw new CompilerException("Unknown distribution pattern for channels: " + pattern);
}
}
// ------------------------------------------------------------------------
// Methods for creating individual vertices
// ------------------------------------------------------------------------
private JobTaskVertex createSingleInputVertex(SingleInputPlanNode node) throws CompilerException {
final String taskName = node.getNodeName();
final DriverStrategy ds = node.getDriverStrategy();
// check, whether chaining is possible
boolean chaining = false;
{
Channel inConn = node.getInput();
PlanNode pred = inConn.getSource();
chaining = ds.getPushChainDriverClass() != null &&
!(pred instanceof NAryUnionPlanNode) && // first op after union is stand-alone, because union is merged
!(pred instanceof BulkPartialSolutionPlanNode) && // partial solution merges anyways
!(pred instanceof IterationPlanNode) && // cannot chain with iteration heads currently
inConn.getShipStrategy() == ShipStrategyType.FORWARD &&
inConn.getLocalStrategy() == LocalStrategy.NONE &&
pred.getOutgoingChannels().size() == 1 &&
node.getDegreeOfParallelism() == pred.getDegreeOfParallelism() &&
node.getSubtasksPerInstance() == pred.getSubtasksPerInstance();
// cannot chain the nodes that produce the next workset or the next solution set, if they are not the
// in a tail
if (this.currentIteration != null && this.currentIteration instanceof WorksetIterationPlanNode &&
node.getOutgoingChannels().size() > 0)
{
WorksetIterationPlanNode wspn = (WorksetIterationPlanNode) this.currentIteration;
if (wspn.getSolutionSetDeltaPlanNode() == pred || wspn.getNextWorkSetPlanNode() == pred) {
chaining = false;
}
}
}
final JobTaskVertex vertex;
final TaskConfig config;
if (chaining) {
vertex = null;
config = new TaskConfig(new Configuration());
this.chainedTasks.put(node, new TaskInChain(ds.getPushChainDriverClass(), config, taskName));
} else {
// create task vertex
vertex = new JobTaskVertex(taskName, this.jobGraph);
vertex.setTaskClass(this.currentIteration == null ? RegularPactTask.class : IterationIntermediatePactTask.class);
config = new TaskConfig(vertex.getConfiguration());
config.setDriver(ds.getDriverClass());
}
// set user code
config.setStubWrapper(node.getPactContract().getUserCodeWrapper());
config.setStubParameters(node.getPactContract().getParameters());
// set the driver strategy
config.setDriverStrategy(ds);
if (node.getComparator() != null) {
config.setDriverComparator(node.getComparator(), 0);
}
// assign memory, file-handles, etc.
assignDriverResources(node, config);
return vertex;
}
private JobTaskVertex createDualInputVertex(DualInputPlanNode node) throws CompilerException {
final String taskName = node.getNodeName();
final DriverStrategy ds = node.getDriverStrategy();
final JobTaskVertex vertex = new JobTaskVertex(taskName, this.jobGraph);
final TaskConfig config = new TaskConfig(vertex.getConfiguration());
vertex.setTaskClass(this.currentIteration == null ? RegularPactTask.class : IterationIntermediatePactTask.class);
// set user code
config.setStubWrapper(node.getPactContract().getUserCodeWrapper());
config.setStubParameters(node.getPactContract().getParameters());
// set the driver strategy
config.setDriver(ds.getDriverClass());
config.setDriverStrategy(ds);
if (node.getComparator1() != null) {
config.setDriverComparator(node.getComparator1(), 0);
}
if (node.getComparator2() != null) {
config.setDriverComparator(node.getComparator2(), 1);
}
if (node.getPairComparator() != null) {
config.setDriverPairComparator(node.getPairComparator());
}
// assign memory, file-handles, etc.
assignDriverResources(node, config);
return vertex;
}
private JobInputVertex createDataSourceVertex(SourcePlanNode node) throws CompilerException {
final JobInputVertex vertex = new JobInputVertex(node.getNodeName(), this.jobGraph);
final TaskConfig config = new TaskConfig(vertex.getConfiguration());
// set task class
@SuppressWarnings("unchecked")
final Class> clazz = (Class>) (Class) DataSourceTask.class;
vertex.setInputClass(clazz);
// set user code
config.setStubWrapper(node.getPactContract().getUserCodeWrapper());
config.setStubParameters(node.getPactContract().getParameters());
config.setOutputSerializer(node.getSerializer());
return vertex;
}
private AbstractJobOutputVertex createDataSinkVertex(SinkPlanNode node) throws CompilerException {
final JobOutputVertex vertex = new JobOutputVertex(node.getNodeName(), this.jobGraph);
final TaskConfig config = new TaskConfig(vertex.getConfiguration());
vertex.setOutputClass(DataSinkTask.class);
vertex.getConfiguration().setInteger(DataSinkTask.DEGREE_OF_PARALLELISM_KEY, node.getDegreeOfParallelism());
// set user code
config.setStubWrapper(node.getPactContract().getUserCodeWrapper());
config.setStubParameters(node.getPactContract().getParameters());
return vertex;
}
private JobTaskVertex createBulkIterationHead(BulkPartialSolutionPlanNode pspn) {
// get the bulk iteration that corresponds to this partial solution node
final BulkIterationPlanNode iteration = pspn.getContainingIterationNode();
// check whether we need an individual vertex for the partial solution, or whether we
// attach ourselves to the vertex of the parent node. We can combine the head with a node of
// the step function, if
// 1) There is one parent that the partial solution connects to via a forward pattern and no
// local strategy
// 2) DOP and the number of subtasks per instance does not change
// 3) That successor is not a union
// 4) That successor is not itself the last node of the step function
// 5) There is no local strategy on the edge for the initial partial solution, as
// this translates to a local strategy that would only be executed in the first iteration
final boolean merge;
if (mergeIterationAuxTasks && pspn.getOutgoingChannels().size() == 1) {
final Channel c = pspn.getOutgoingChannels().get(0);
final PlanNode successor = c.getTarget();
merge = c.getShipStrategy() == ShipStrategyType.FORWARD &&
c.getLocalStrategy() == LocalStrategy.NONE &&
c.getTempMode() == TempMode.NONE &&
successor.getDegreeOfParallelism() == pspn.getDegreeOfParallelism() &&
successor.getSubtasksPerInstance() == pspn.getSubtasksPerInstance() &&
!(successor instanceof NAryUnionPlanNode) &&
successor != iteration.getRootOfStepFunction() &&
iteration.getInput().getLocalStrategy() == LocalStrategy.NONE;
} else {
merge = false;
}
// create or adopt the head vertex
final JobTaskVertex toReturn;
final JobTaskVertex headVertex;
final TaskConfig headConfig;
if (merge) {
final PlanNode successor = pspn.getOutgoingChannels().get(0).getTarget();
headVertex = (JobTaskVertex) this.vertices.get(successor);
if (headVertex == null) {
throw new CompilerException(
"Bug: Trying to merge solution set with its sucessor, but successor has not been created.");
}
// reset the vertex type to iteration head
headVertex.setTaskClass(IterationHeadPactTask.class);
headConfig = new TaskConfig(headVertex.getConfiguration());
toReturn = null;
} else {
// instantiate the head vertex and give it a no-op driver as the driver strategy.
// everything else happens in the post visit, after the input (the initial partial solution)
// is connected.
headVertex = new JobTaskVertex("PartialSolution("+iteration.getNodeName()+")", this.jobGraph);
headVertex.setTaskClass(IterationHeadPactTask.class);
headConfig = new TaskConfig(headVertex.getConfiguration());
headConfig.setDriver(NoOpDriver.class);
toReturn = headVertex;
}
// create the iteration descriptor and the iteration to it
IterationDescriptor descr = this.iterations.get(iteration);
if (descr == null) {
throw new CompilerException("Bug: Iteration descriptor was not created at when translating the iteration node.");
}
descr.setHeadTask(headVertex, headConfig);
return toReturn;
}
private JobTaskVertex createWorksetIterationHead(WorksetPlanNode wspn) {
// get the bulk iteration that corresponds to this partial solution node
final WorksetIterationPlanNode iteration = wspn.getContainingIterationNode();
// check whether we need an individual vertex for the partial solution, or whether we
// attach ourselves to the vertex of the parent node. We can combine the head with a node of
// the step function, if
// 1) There is one parent that the partial solution connects to via a forward pattern and no
// local strategy
// 2) DOP and the number of subtasks per instance does not change
// 3) That successor is not a union
// 4) That successor is not itself the last node of the step function
// 5) There is no local strategy on the edge for the initial workset, as
// this translates to a local strategy that would only be executed in the first superstep
final boolean merge;
if (mergeIterationAuxTasks && wspn.getOutgoingChannels().size() == 1) {
final Channel c = wspn.getOutgoingChannels().get(0);
final PlanNode successor = c.getTarget();
merge = c.getShipStrategy() == ShipStrategyType.FORWARD &&
c.getLocalStrategy() == LocalStrategy.NONE &&
c.getTempMode() == TempMode.NONE &&
successor.getDegreeOfParallelism() == wspn.getDegreeOfParallelism() &&
successor.getSubtasksPerInstance() == wspn.getSubtasksPerInstance() &&
!(successor instanceof NAryUnionPlanNode) &&
successor != iteration.getNextWorkSetPlanNode() &&
iteration.getInitialWorksetInput().getLocalStrategy() == LocalStrategy.NONE;
} else {
merge = false;
}
// create or adopt the head vertex
final JobTaskVertex toReturn;
final JobTaskVertex headVertex;
final TaskConfig headConfig;
if (merge) {
final PlanNode successor = wspn.getOutgoingChannels().get(0).getTarget();
headVertex = (JobTaskVertex) this.vertices.get(successor);
if (headVertex == null) {
throw new CompilerException(
"Bug: Trying to merge solution set with its sucessor, but successor has not been created.");
}
// reset the vertex type to iteration head
headVertex.setTaskClass(IterationHeadPactTask.class);
headConfig = new TaskConfig(headVertex.getConfiguration());
toReturn = null;
} else {
// instantiate the head vertex and give it a no-op driver as the driver strategy.
// everything else happens in the post visit, after the input (the initial partial solution)
// is connected.
headVertex = new JobTaskVertex("IterationHead("+iteration.getNodeName()+")", this.jobGraph);
headVertex.setTaskClass(IterationHeadPactTask.class);
headConfig = new TaskConfig(headVertex.getConfiguration());
headConfig.setDriver(NoOpDriver.class);
toReturn = headVertex;
}
// create the iteration descriptor and the iteration to it
IterationDescriptor descr = this.iterations.get(iteration);
if (descr == null) {
throw new CompilerException("Bug: Iteration descriptor was not created at when translating the iteration node.");
}
descr.setHeadTask(headVertex, headConfig);
return toReturn;
}
private void assignDriverResources(PlanNode node, TaskConfig config) {
final long mem = node.getMemoryPerSubTask();
if (mem > 0) {
config.setMemoryDriver(mem);
config.setFilehandlesDriver(this.defaultMaxFan);
config.setSpillingThresholdDriver(this.defaultSortSpillingThreshold);
}
}
private void assignLocalStrategyResources(Channel c, TaskConfig config, int inputNum) {
if (c.getMemoryLocalStrategy() > 0) {
config.setMemoryInput(inputNum, c.getMemoryLocalStrategy());
config.setFilehandlesInput(inputNum, this.defaultMaxFan);
config.setSpillingThresholdInput(inputNum, this.defaultSortSpillingThreshold);
}
}
// ------------------------------------------------------------------------
// Connecting Vertices
// ------------------------------------------------------------------------
/**
* NOTE: The channel for global and local strategies are different if we connect a union. The global strategy
* channel is then the channel into the union node, the local strategy channel the one from the union to the
* actual target operator.
*
* @param channelForGlobalStrategy
* @param channelForLocalStrategy
* @param inputNumber
* @param sourceVertex
* @param sourceConfig
* @param targetVertex
* @param targetConfig
* @throws JobGraphDefinitionException
* @throws CompilerException
*/
private DistributionPattern connectJobVertices(Channel channel, int inputNumber,
final AbstractJobVertex sourceVertex, final TaskConfig sourceConfig,
final AbstractJobVertex targetVertex, final TaskConfig targetConfig)
throws JobGraphDefinitionException, CompilerException
{
// ------------ connect the vertices to the job graph --------------
final ChannelType channelType;
final DistributionPattern distributionPattern;
switch (channel.getShipStrategy()) {
case FORWARD:
case PARTITION_LOCAL_HASH:
distributionPattern = DistributionPattern.POINTWISE;
channelType = ChannelType.NETWORK;
break;
case PARTITION_RANDOM:
case BROADCAST:
case PARTITION_HASH:
case PARTITION_RANGE:
distributionPattern = DistributionPattern.BIPARTITE;
channelType = ChannelType.NETWORK;
break;
default:
throw new RuntimeException("Unknown runtime ship strategy: " + channel.getShipStrategy());
}
sourceVertex.connectTo(targetVertex, channelType, distributionPattern);
// -------------- configure the source task's ship strategy strategies in task config --------------
final int outputIndex = sourceConfig.getNumOutputs();
sourceConfig.addOutputShipStrategy(channel.getShipStrategy());
if (outputIndex == 0) {
sourceConfig.setOutputSerializer(channel.getSerializer());
}
if (channel.getShipStrategyComparator() != null) {
sourceConfig.setOutputComparator(channel.getShipStrategyComparator(), outputIndex);
}
if (channel.getShipStrategy() == ShipStrategyType.PARTITION_RANGE) {
final DataDistribution dataDistribution = channel.getDataDistribution();
if(dataDistribution != null) {
sourceConfig.setOutputDataDistribution(dataDistribution, outputIndex);
} else {
throw new RuntimeException("Range partitioning requires data distribution");
// TODO: inject code and configuration for automatic histogram generation
}
}
// if (targetContract instanceof GenericDataSink) {
// final DataDistribution distri = ((GenericDataSink) targetContract).getDataDistribution();
// if (distri != null) {
// configForOutputShipStrategy.setOutputDataDistribution(distri);
// }
// }
// ---------------- configure the receiver -------------------
targetConfig.addInputToGroup(inputNumber);
return distributionPattern;
}
private void addLocalInfoFromChannelToConfig(Channel channel, TaskConfig config, int inputNum) {
// serializer
config.setInputSerializer(channel.getSerializer(), inputNum);
// local strategy
if (channel.getLocalStrategy() != LocalStrategy.NONE) {
config.setInputLocalStrategy(inputNum, channel.getLocalStrategy());
if (channel.getLocalStrategyComparator() != null) {
config.setInputComparator(channel.getLocalStrategyComparator(), inputNum);
}
}
assignLocalStrategyResources(channel, config, inputNum);
// materialization / caching
if (channel.getTempMode() != null) {
final TempMode tm = channel.getTempMode();
boolean needsMemory = false;
if (tm.breaksPipeline()) {
config.setInputAsynchronouslyMaterialized(inputNum, true);
needsMemory = true;
}
if (tm.isCached()) {
config.setInputCached(inputNum, true);
needsMemory = true;
}
if (needsMemory) {
// sanity check
if (tm == null || tm == TempMode.NONE || channel.getTempMemory() < 1) {
throw new CompilerException("Bug in compiler: Inconsistent description of input materialization.");
}
config.setInputMaterializationMemory(inputNum, channel.getTempMemory());
}
}
}
private void finalizeBulkIteration(IterationDescriptor descr) {
final BulkIterationPlanNode bulkNode = (BulkIterationPlanNode) descr.getIterationNode();
final JobTaskVertex headVertex = descr.getHeadTask();
final TaskConfig headConfig = new TaskConfig(headVertex.getConfiguration());
final TaskConfig headFinalOutputConfig = descr.getHeadFinalResultConfig();
// ------------ finalize the head config with the final outputs and the sync gate ------------
final int numStepFunctionOuts = headConfig.getNumOutputs();
final int numFinalOuts = headFinalOutputConfig.getNumOutputs();
headConfig.setIterationHeadFinalOutputConfig(headFinalOutputConfig);
headConfig.setIterationHeadIndexOfSyncOutput(numStepFunctionOuts + numFinalOuts);
final long memForBackChannel = bulkNode.getMemoryPerSubTask();
if (memForBackChannel <= 0) {
throw new CompilerException("Bug: No memory has been assigned to the iteration back channel.");
}
headConfig.setBackChannelMemory(memForBackChannel);
// --------------------------- create the sync task ---------------------------
final JobOutputVertex sync = new JobOutputVertex("Sync(" +
bulkNode.getNodeName() + ")", this.jobGraph);
sync.setOutputClass(IterationSynchronizationSinkTask.class);
sync.setNumberOfSubtasks(1);
this.auxVertices.add(sync);
final TaskConfig syncConfig = new TaskConfig(sync.getConfiguration());
syncConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, headVertex.getNumberOfSubtasks());
// set the number of iteration / convergence criterion for the sync
final int maxNumIterations = bulkNode.getIterationNode().getIterationContract().getMaximumNumberOfIterations();
if (maxNumIterations < 1) {
throw new CompilerException("Cannot create bulk iteration with unspecified maximum number of iterations.");
}
syncConfig.setNumberOfIterations(maxNumIterations);
// connect the sync task
try {
headVertex.connectTo(sync, ChannelType.NETWORK, DistributionPattern.POINTWISE);
} catch (JobGraphDefinitionException e) {
throw new CompilerException("Bug: Cannot connect head vertex to sync task.");
}
// ----------------------------- create the iteration tail ------------------------------
final PlanNode rootOfStepFunction = bulkNode.getRootOfStepFunction();
final TaskConfig tailConfig;
JobTaskVertex rootOfStepFunctionVertex = (JobTaskVertex) this.vertices.get(rootOfStepFunction);
if (rootOfStepFunctionVertex == null) {
// last op is chained
final TaskInChain taskInChain = this.chainedTasks.get(rootOfStepFunction);
if (taskInChain == null) {
throw new CompilerException("Bug: Tail of step function not found as vertex or chained task.");
}
rootOfStepFunctionVertex = (JobTaskVertex) taskInChain.getContainingVertex();
// the fake channel is statically typed to pact record. no data is sent over this channel anyways.
tailConfig = taskInChain.getTaskConfig();
} else {
tailConfig = new TaskConfig(rootOfStepFunctionVertex.getConfiguration());
}
rootOfStepFunctionVertex.setTaskClass(IterationTailPactTask.class);
tailConfig.setIsWorksetUpdate();
tailConfig.setOutputSerializer(bulkNode.getSerializerForIterationChannel());
tailConfig.addOutputShipStrategy(ShipStrategyType.FORWARD);
// create the fake output task
JobOutputVertex fakeTail = new JobOutputVertex("Fake Tail", this.jobGraph);
fakeTail.setOutputClass(FakeOutputTask.class);
fakeTail.setNumberOfSubtasks(headVertex.getNumberOfSubtasks());
fakeTail.setNumberOfSubtasksPerInstance(headVertex.getNumberOfSubtasksPerInstance());
this.auxVertices.add(fakeTail);
// connect the fake tail
try {
rootOfStepFunctionVertex.connectTo(fakeTail, ChannelType.INMEMORY, DistributionPattern.POINTWISE);
} catch (JobGraphDefinitionException e) {
throw new CompilerException("Bug: Cannot connect iteration tail vertex fake tail task");
}
// ------------------- register the aggregators -------------------
AggregatorRegistry aggs = bulkNode.getIterationNode().getIterationContract().getAggregators();
Collection> allAggregators = aggs.getAllRegisteredAggregators();
headConfig.addIterationAggregators(allAggregators);
syncConfig.addIterationAggregators(allAggregators);
String convAggName = aggs.getConvergenceCriterionAggregatorName();
Class> convCriterion = aggs.getConvergenceCriterion();
if (convCriterion != null || convAggName != null) {
if (convCriterion == null) {
throw new CompilerException("Error: Convergence criterion aggregator set, but criterion is null.");
}
if (convAggName == null) {
throw new CompilerException("Error: Aggregator convergence criterion set, but aggregator is null.");
}
syncConfig.setConvergenceCriterion(convAggName, convCriterion);
}
}
private void finalizeWorksetIteration(IterationDescriptor descr) {
final WorksetIterationPlanNode iterNode = (WorksetIterationPlanNode) descr.getIterationNode();
final JobTaskVertex headVertex = descr.getHeadTask();
final TaskConfig headConfig = new TaskConfig(headVertex.getConfiguration());
final TaskConfig headFinalOutputConfig = descr.getHeadFinalResultConfig();
// ------------ finalize the head config with the final outputs and the sync gate ------------
{
final int numStepFunctionOuts = headConfig.getNumOutputs();
final int numFinalOuts = headFinalOutputConfig.getNumOutputs();
headConfig.setIterationHeadFinalOutputConfig(headFinalOutputConfig);
headConfig.setIterationHeadIndexOfSyncOutput(numStepFunctionOuts + numFinalOuts);
final long mem = iterNode.getMemoryPerSubTask();
if (mem <= 0) {
throw new CompilerException("Bug: No memory has been assigned to the workset iteration.");
}
headConfig.setIsWorksetIteration();
headConfig.setBackChannelMemory(mem / 2);
headConfig.setSolutionSetMemory(mem / 2);
// set the solution set serializer and comparator
headConfig.setSolutionSetSerializer(iterNode.getSolutionSetSerializer());
headConfig.setSolutionSetComparator(iterNode.getSolutionSetComparator());
}
// --------------------------- create the sync task ---------------------------
final TaskConfig syncConfig;
{
final JobOutputVertex sync = new JobOutputVertex("Sync (" +
iterNode.getNodeName() + ")", this.jobGraph);
sync.setOutputClass(IterationSynchronizationSinkTask.class);
sync.setNumberOfSubtasks(1);
this.auxVertices.add(sync);
syncConfig = new TaskConfig(sync.getConfiguration());
syncConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, headVertex.getNumberOfSubtasks());
// set the number of iteration / convergence criterion for the sync
final int maxNumIterations = iterNode.getIterationNode().getIterationContract().getMaximumNumberOfIterations();
if (maxNumIterations < 1) {
throw new CompilerException("Cannot create workset iteration with unspecified maximum number of iterations.");
}
syncConfig.setNumberOfIterations(maxNumIterations);
// connect the sync task
try {
headVertex.connectTo(sync, ChannelType.NETWORK, DistributionPattern.POINTWISE);
} catch (JobGraphDefinitionException e) {
throw new CompilerException("Bug: Cannot connect head vertex to sync task.");
}
}
// ----------------------------- create the iteration tails -----------------------------
// ----------------------- for next workset and solution set delta-----------------------
{
// we have three possible cases:
// 1) Two tails, one for workset update, one for solution set update
// 2) One tail for workset update, solution set update happens in an intermediate task
// 3) One tail for solution set update, workset update happens in an intermediate task
final PlanNode nextWorksetNode = iterNode.getNextWorkSetPlanNode();
final PlanNode solutionDeltaNode = iterNode.getSolutionSetDeltaPlanNode();
final boolean hasWorksetTail = nextWorksetNode.getOutgoingChannels().isEmpty();
final boolean hasSolutionSetTail = (!iterNode.isImmediateSolutionSetUpdate()) || (!hasWorksetTail);
{
// get the vertex for the workset update
final TaskConfig worksetTailConfig;
JobTaskVertex nextWorksetVertex = (JobTaskVertex) this.vertices.get(nextWorksetNode);
if (nextWorksetVertex == null) {
// nextWorksetVertex is chained
TaskInChain taskInChain = this.chainedTasks.get(nextWorksetNode);
if (taskInChain == null) {
throw new CompilerException("Bug: Next workset node not found as vertex or chained task.");
}
nextWorksetVertex = (JobTaskVertex) taskInChain.getContainingVertex();
worksetTailConfig = taskInChain.getTaskConfig();
} else {
worksetTailConfig = new TaskConfig(nextWorksetVertex.getConfiguration());
}
// mark the node to perform workset updates
worksetTailConfig.setIsWorksetIteration();
worksetTailConfig.setIsWorksetUpdate();
if (hasWorksetTail) {
nextWorksetVertex.setTaskClass(IterationTailPactTask.class);
worksetTailConfig.setOutputSerializer(iterNode.getWorksetSerializer());
worksetTailConfig.addOutputShipStrategy(ShipStrategyType.FORWARD);
// create the fake output task
JobOutputVertex fakeTail = new JobOutputVertex("Fake Tail", this.jobGraph);
fakeTail.setOutputClass(FakeOutputTask.class);
fakeTail.setNumberOfSubtasks(headVertex.getNumberOfSubtasks());
fakeTail.setNumberOfSubtasksPerInstance(headVertex.getNumberOfSubtasksPerInstance());
this.auxVertices.add(fakeTail);
// connect the fake tail
try {
nextWorksetVertex.connectTo(fakeTail, ChannelType.INMEMORY, DistributionPattern.POINTWISE);
} catch (JobGraphDefinitionException e) {
throw new CompilerException("Bug: Cannot connect iteration tail vertex fake tail task");
}
}
}
{
final TaskConfig solutionDeltaConfig;
JobTaskVertex solutionDeltaVertex = (JobTaskVertex) this.vertices.get(solutionDeltaNode);
if (solutionDeltaVertex == null) {
// last op is chained
TaskInChain taskInChain = this.chainedTasks.get(solutionDeltaNode);
if (taskInChain == null) {
throw new CompilerException("Bug: Solution Set Delta not found as vertex or chained task.");
}
solutionDeltaVertex = (JobTaskVertex) taskInChain.getContainingVertex();
solutionDeltaConfig = taskInChain.getTaskConfig();
} else {
solutionDeltaConfig = new TaskConfig(solutionDeltaVertex.getConfiguration());
}
solutionDeltaConfig.setIsWorksetIteration();
solutionDeltaConfig.setIsSolutionSetUpdate();
if (hasSolutionSetTail) {
solutionDeltaVertex.setTaskClass(IterationTailPactTask.class);
solutionDeltaConfig.setOutputSerializer(iterNode.getSolutionSetSerializer());
solutionDeltaConfig.addOutputShipStrategy(ShipStrategyType.FORWARD);
// create the fake output task
JobOutputVertex fakeTail = new JobOutputVertex("Fake Tail", this.jobGraph);
fakeTail.setOutputClass(FakeOutputTask.class);
fakeTail.setNumberOfSubtasks(headVertex.getNumberOfSubtasks());
fakeTail.setNumberOfSubtasksPerInstance(headVertex.getNumberOfSubtasksPerInstance());
this.auxVertices.add(fakeTail);
// connect the fake tail
try {
solutionDeltaVertex.connectTo(fakeTail, ChannelType.INMEMORY, DistributionPattern.POINTWISE);
} catch (JobGraphDefinitionException e) {
throw new CompilerException("Bug: Cannot connect iteration tail vertex fake tail task");
}
// tell the head that it needs to wait for the solution set updates
headConfig.setWaitForSolutionSetUpdate();
}
else {
// no tail, intermediate update. must be immediate update
if (!iterNode.isImmediateSolutionSetUpdate()) {
throw new CompilerException("A solution set update without dedicated tail is not set to perform immediate updates.");
}
solutionDeltaConfig.setIsSolutionSetUpdateWithoutReprobe();
}
}
}
// ------------------- register the aggregators -------------------
AggregatorRegistry aggs = iterNode.getIterationNode().getIterationContract().getAggregators();
Collection> allAggregators = aggs.getAllRegisteredAggregators();
for (AggregatorWithName agg : allAggregators) {
if (agg.getName().equals(WorksetEmptyConvergenceCriterion.AGGREGATOR_NAME)) {
throw new CompilerException("User defined aggregator used the same name as built-in workset " +
"termination check aggregator: " + WorksetEmptyConvergenceCriterion.AGGREGATOR_NAME);
}
}
headConfig.addIterationAggregators(allAggregators);
syncConfig.addIterationAggregators(allAggregators);
String convAggName = aggs.getConvergenceCriterionAggregatorName();
Class> convCriterion = aggs.getConvergenceCriterion();
if (convCriterion != null || convAggName != null) {
throw new CompilerException("Error: Cannot use custom convergence criterion with workset iteration. Workset iterations have implicit convergence criterion where workset is empty.");
}
headConfig.addIterationAggregator(WorksetEmptyConvergenceCriterion.AGGREGATOR_NAME, LongSumAggregator.class);
syncConfig.addIterationAggregator(WorksetEmptyConvergenceCriterion.AGGREGATOR_NAME, LongSumAggregator.class);
syncConfig.setConvergenceCriterion(WorksetEmptyConvergenceCriterion.AGGREGATOR_NAME, WorksetEmptyConvergenceCriterion.class);
}
// -------------------------------------------------------------------------------------
// Descriptors for tasks / configurations that are chained or merged with other tasks
// -------------------------------------------------------------------------------------
/**
* Utility class that describes a task in a sequence of chained tasks. Chained tasks are tasks that run
* together in one thread.
*/
private static final class TaskInChain {
private final Class> chainedTask;
private final TaskConfig taskConfig;
private final String taskName;
private AbstractJobVertex containingVertex;
@SuppressWarnings("unchecked")
TaskInChain(@SuppressWarnings("rawtypes") Class chainedTask, TaskConfig taskConfig, String taskName) {
this.chainedTask = (Class>) chainedTask;
this.taskConfig = taskConfig;
this.taskName = taskName;
}
public Class> getChainedTask() {
return this.chainedTask;
}
public TaskConfig getTaskConfig() {
return this.taskConfig;
}
public String getTaskName() {
return this.taskName;
}
public AbstractJobVertex getContainingVertex() {
return this.containingVertex;
}
public void setContainingVertex(AbstractJobVertex containingVertex) {
this.containingVertex = containingVertex;
}
}
private static final class IterationDescriptor {
private final IterationPlanNode iterationNode;
private JobTaskVertex headTask;
private TaskConfig headConfig;
private TaskConfig headFinalResultConfig;
private final int id;
public IterationDescriptor(IterationPlanNode iterationNode, int id) {
this.iterationNode = iterationNode;
this.id = id;
}
public IterationPlanNode getIterationNode() {
return iterationNode;
}
public void setHeadTask(JobTaskVertex headTask, TaskConfig headConfig) {
this.headTask = headTask;
this.headFinalResultConfig = new TaskConfig(new Configuration());
// check if we already had a configuration, for example if the solution set was
if (this.headConfig != null) {
headConfig.getConfiguration().addAll(this.headConfig.getConfiguration());
}
this.headConfig = headConfig;
}
public JobTaskVertex getHeadTask() {
return headTask;
}
public TaskConfig getHeadConfig() {
// if there is no configuration yet (solution set parameterization before the
// head is created) then we create one now
if (this.headConfig == null) {
this.headConfig = new TaskConfig(new Configuration());
}
return headConfig;
}
public TaskConfig getHeadFinalResultConfig() {
return headFinalResultConfig;
}
public int getId() {
return this.id;
}
}
}