use of org.apache.flink.optimizer.plan.BulkIterationPlanNode in project flink by apache.
the class UnionBetweenDynamicAndStaticPathTest method testUnionStaticFirst.
@Test
public void testUnionStaticFirst() {
try {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Long> input1 = env.generateSequence(1, 10);
DataSet<Long> input2 = env.generateSequence(1, 10);
IterativeDataSet<Long> iteration = input1.iterate(10);
DataSet<Long> result = iteration.closeWith(input2.union(input2).union(iteration.union(iteration)));
result.output(new DiscardingOutputFormat<Long>());
result.output(new DiscardingOutputFormat<Long>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
assertEquals(2, op.getDataSinks().size());
BulkIterationPlanNode iterPlan = (BulkIterationPlanNode) op.getDataSinks().iterator().next().getInput().getSource();
SingleInputPlanNode noopNode = (SingleInputPlanNode) iterPlan.getRootOfStepFunction();
BinaryUnionPlanNode mixedUnion = (BinaryUnionPlanNode) noopNode.getInput().getSource();
NAryUnionPlanNode staticUnion = (NAryUnionPlanNode) mixedUnion.getInput1().getSource();
NAryUnionPlanNode dynamicUnion = (NAryUnionPlanNode) mixedUnion.getInput2().getSource();
assertTrue(mixedUnion.unionsStaticAndDynamicPath());
assertFalse(mixedUnion.getInput1().isOnDynamicPath());
assertTrue(mixedUnion.getInput2().isOnDynamicPath());
assertTrue(mixedUnion.getInput1().getTempMode().isCached());
for (Channel c : staticUnion.getInputs()) {
assertFalse(c.isOnDynamicPath());
}
for (Channel c : dynamicUnion.getInputs()) {
assertTrue(c.isOnDynamicPath());
}
assertEquals(0.5, iterPlan.getRelativeMemoryPerSubTask(), 0.0);
assertEquals(0.5, mixedUnion.getInput1().getRelativeTempMemory(), 0.0);
assertEquals(0.0, mixedUnion.getInput2().getRelativeTempMemory(), 0.0);
new JobGraphGenerator().compileJobGraph(op);
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
use of org.apache.flink.optimizer.plan.BulkIterationPlanNode in project flink by apache.
the class IterationsCompilerTest method testIterationNotPushingWorkOut.
@Test
public void testIterationNotPushingWorkOut() throws Exception {
try {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(8);
DataSet<Tuple2<Long, Long>> input1 = env.readCsvFile("/some/file/path").types(Long.class).map(new DuplicateValue());
DataSet<Tuple2<Long, Long>> input2 = env.readCsvFile("/some/file/path").types(Long.class, Long.class);
// Use input1 as partial solution. Partial solution is used in a single join operation
// --> it is cheaper
// to do the hash partitioning between the partial solution node and the join node
// instead of pushing the partitioning out
doSimpleBulkIteration(input1, input2).output(new DiscardingOutputFormat<Tuple2<Long, Long>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
assertEquals(1, op.getDataSinks().size());
assertTrue(op.getDataSinks().iterator().next().getInput().getSource() instanceof BulkIterationPlanNode);
BulkIterationPlanNode bipn = (BulkIterationPlanNode) op.getDataSinks().iterator().next().getInput().getSource();
// check that work has not been pushed out
for (Channel c : bipn.getPartialSolutionPlanNode().getOutgoingChannels()) {
assertEquals(ShipStrategyType.PARTITION_HASH, c.getShipStrategy());
}
assertEquals(ShipStrategyType.FORWARD, bipn.getInput().getShipStrategy());
new JobGraphGenerator().compileJobGraph(op);
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
use of org.apache.flink.optimizer.plan.BulkIterationPlanNode in project flink by apache.
the class JobGraphGenerator method createSingleInputVertex.
// ------------------------------------------------------------------------
// Methods for creating individual vertices
// ------------------------------------------------------------------------
private JobVertex createSingleInputVertex(SingleInputPlanNode node) throws CompilerException {
final String taskName = node.getNodeName();
final DriverStrategy ds = node.getDriverStrategy();
// check, whether chaining is possible
boolean chaining;
{
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 WorksetPlanNode) && // workset merges anyways
!(pred instanceof IterationPlanNode) && // cannot chain with iteration heads currently
inConn.getShipStrategy() == ShipStrategyType.FORWARD && inConn.getLocalStrategy() == LocalStrategy.NONE && pred.getOutgoingChannels().size() == 1 && node.getParallelism() == pred.getParallelism() && node.getBroadcastInputs().isEmpty();
// in a tail
if (this.currentIteration instanceof WorksetIterationPlanNode && node.getOutgoingChannels().size() > 0) {
WorksetIterationPlanNode wspn = (WorksetIterationPlanNode) this.currentIteration;
if (wspn.getSolutionSetDeltaPlanNode() == pred || wspn.getNextWorkSetPlanNode() == pred) {
chaining = false;
}
}
// termination criterion follows
if (this.currentIteration instanceof BulkIterationPlanNode) {
BulkIterationPlanNode wspn = (BulkIterationPlanNode) this.currentIteration;
if (node == wspn.getRootOfTerminationCriterion() && wspn.getRootOfStepFunction() == pred) {
chaining = false;
} else if (node.getOutgoingChannels().size() > 0 && (wspn.getRootOfStepFunction() == pred || wspn.getRootOfTerminationCriterion() == pred)) {
chaining = false;
}
}
}
final JobVertex vertex;
final TaskConfig config;
if (chaining) {
vertex = null;
config = new TaskConfig(new Configuration());
this.chainedTasks.put(node, new TaskInChain(node, ds.getPushChainDriverClass(), config, taskName));
} else {
// create task vertex
vertex = new JobVertex(taskName);
vertex.setResources(node.getMinResources(), node.getPreferredResources());
vertex.setInvokableClass((this.currentIteration != null && node.isOnDynamicPath()) ? IterationIntermediateTask.class : BatchTask.class);
config = new TaskConfig(vertex.getConfiguration());
config.setDriver(ds.getDriverClass());
}
// set user code
config.setStubWrapper(node.getProgramOperator().getUserCodeWrapper());
config.setStubParameters(node.getProgramOperator().getParameters());
// set the driver strategy
config.setDriverStrategy(ds);
for (int i = 0; i < ds.getNumRequiredComparators(); i++) {
config.setDriverComparator(node.getComparator(i), i);
}
// assign memory, file-handles, etc.
assignDriverResources(node, config);
return vertex;
}
use of org.apache.flink.optimizer.plan.BulkIterationPlanNode in project flink by apache.
the class PlanJSONDumpGenerator method visit.
private boolean visit(DumpableNode<?> node, PrintWriter writer, boolean first) {
// check for duplicate traversal
if (this.nodeIds.containsKey(node)) {
return false;
}
// assign an id first
this.nodeIds.put(node, this.nodeCnt++);
// then recurse
for (DumpableNode<?> child : node.getPredecessors()) {
// to set first to false!
if (visit(child, writer, first)) {
first = false;
}
}
// check if this node should be skipped from the dump
final OptimizerNode n = node.getOptimizerNode();
// start a new node and output node id
if (!first) {
writer.print(",\n");
}
// open the node
writer.print("\t{\n");
// recurse, it is is an iteration node
if (node instanceof BulkIterationNode || node instanceof BulkIterationPlanNode) {
DumpableNode<?> innerChild = node instanceof BulkIterationNode ? ((BulkIterationNode) node).getNextPartialSolution() : ((BulkIterationPlanNode) node).getRootOfStepFunction();
DumpableNode<?> begin = node instanceof BulkIterationNode ? ((BulkIterationNode) node).getPartialSolution() : ((BulkIterationPlanNode) node).getPartialSolutionPlanNode();
writer.print("\t\t\"step_function\": [\n");
visit(innerChild, writer, true);
writer.print("\n\t\t],\n");
writer.print("\t\t\"partial_solution\": " + this.nodeIds.get(begin) + ",\n");
writer.print("\t\t\"next_partial_solution\": " + this.nodeIds.get(innerChild) + ",\n");
} else if (node instanceof WorksetIterationNode || node instanceof WorksetIterationPlanNode) {
DumpableNode<?> worksetRoot = node instanceof WorksetIterationNode ? ((WorksetIterationNode) node).getNextWorkset() : ((WorksetIterationPlanNode) node).getNextWorkSetPlanNode();
DumpableNode<?> solutionDelta = node instanceof WorksetIterationNode ? ((WorksetIterationNode) node).getSolutionSetDelta() : ((WorksetIterationPlanNode) node).getSolutionSetDeltaPlanNode();
DumpableNode<?> workset = node instanceof WorksetIterationNode ? ((WorksetIterationNode) node).getWorksetNode() : ((WorksetIterationPlanNode) node).getWorksetPlanNode();
DumpableNode<?> solutionSet = node instanceof WorksetIterationNode ? ((WorksetIterationNode) node).getSolutionSetNode() : ((WorksetIterationPlanNode) node).getSolutionSetPlanNode();
writer.print("\t\t\"step_function\": [\n");
visit(worksetRoot, writer, true);
visit(solutionDelta, writer, false);
writer.print("\n\t\t],\n");
writer.print("\t\t\"workset\": " + this.nodeIds.get(workset) + ",\n");
writer.print("\t\t\"solution_set\": " + this.nodeIds.get(solutionSet) + ",\n");
writer.print("\t\t\"next_workset\": " + this.nodeIds.get(worksetRoot) + ",\n");
writer.print("\t\t\"solution_delta\": " + this.nodeIds.get(solutionDelta) + ",\n");
}
// print the id
writer.print("\t\t\"id\": " + this.nodeIds.get(node));
final String type;
String contents;
if (n instanceof DataSinkNode) {
type = "sink";
contents = n.getOperator().toString();
} else if (n instanceof DataSourceNode) {
type = "source";
contents = n.getOperator().toString();
} else if (n instanceof BulkIterationNode) {
type = "bulk_iteration";
contents = n.getOperator().getName();
} else if (n instanceof WorksetIterationNode) {
type = "workset_iteration";
contents = n.getOperator().getName();
} else if (n instanceof BinaryUnionNode) {
type = "pact";
contents = "";
} else {
type = "pact";
contents = n.getOperator().getName();
}
contents = StringUtils.showControlCharacters(contents);
if (encodeForHTML) {
contents = StringEscapeUtils.escapeHtml4(contents);
contents = contents.replace("\\", "\");
}
String name = n.getOperatorName();
if (name.equals("Reduce") && (node instanceof SingleInputPlanNode) && ((SingleInputPlanNode) node).getDriverStrategy() == DriverStrategy.SORTED_GROUP_COMBINE) {
name = "Combine";
}
// output the type identifier
writer.print(",\n\t\t\"type\": \"" + type + "\"");
// output node name
writer.print(",\n\t\t\"pact\": \"" + name + "\"");
// output node contents
writer.print(",\n\t\t\"contents\": \"" + contents + "\"");
// parallelism
writer.print(",\n\t\t\"parallelism\": \"" + (n.getParallelism() >= 1 ? n.getParallelism() : "default") + "\"");
// output node predecessors
Iterator<? extends DumpableConnection<?>> inConns = node.getDumpableInputs().iterator();
String child1name = "", child2name = "";
if (inConns != null && inConns.hasNext()) {
// start predecessor list
writer.print(",\n\t\t\"predecessors\": [");
int inputNum = 0;
while (inConns.hasNext()) {
final DumpableConnection<?> inConn = inConns.next();
final DumpableNode<?> source = inConn.getSource();
writer.print(inputNum == 0 ? "\n" : ",\n");
if (inputNum == 0) {
child1name += child1name.length() > 0 ? ", " : "";
child1name += source.getOptimizerNode().getOperator().getName() + " (id: " + this.nodeIds.get(source) + ")";
} else if (inputNum == 1) {
child2name += child2name.length() > 0 ? ", " : "";
child2name += source.getOptimizerNode().getOperator().getName() + " (id: " + this.nodeIds.get(source) + ")";
}
// output predecessor id
writer.print("\t\t\t{\"id\": " + this.nodeIds.get(source));
// output connection side
if (inConns.hasNext() || inputNum > 0) {
writer.print(", \"side\": \"" + (inputNum == 0 ? "first" : "second") + "\"");
}
// output shipping strategy and channel type
final Channel channel = (inConn instanceof Channel) ? (Channel) inConn : null;
final ShipStrategyType shipType = channel != null ? channel.getShipStrategy() : inConn.getShipStrategy();
String shipStrategy = null;
if (shipType != null) {
switch(shipType) {
case NONE:
// nothing
break;
case FORWARD:
shipStrategy = "Forward";
break;
case BROADCAST:
shipStrategy = "Broadcast";
break;
case PARTITION_HASH:
shipStrategy = "Hash Partition";
break;
case PARTITION_RANGE:
shipStrategy = "Range Partition";
break;
case PARTITION_RANDOM:
shipStrategy = "Redistribute";
break;
case PARTITION_FORCED_REBALANCE:
shipStrategy = "Rebalance";
break;
case PARTITION_CUSTOM:
shipStrategy = "Custom Partition";
break;
default:
throw new CompilerException("Unknown ship strategy '" + inConn.getShipStrategy().name() + "' in JSON generator.");
}
}
if (channel != null && channel.getShipStrategyKeys() != null && channel.getShipStrategyKeys().size() > 0) {
shipStrategy += " on " + (channel.getShipStrategySortOrder() == null ? channel.getShipStrategyKeys().toString() : Utils.createOrdering(channel.getShipStrategyKeys(), channel.getShipStrategySortOrder()).toString());
}
if (shipStrategy != null) {
writer.print(", \"ship_strategy\": \"" + shipStrategy + "\"");
}
if (channel != null) {
String localStrategy = null;
switch(channel.getLocalStrategy()) {
case NONE:
break;
case SORT:
localStrategy = "Sort";
break;
case COMBININGSORT:
localStrategy = "Sort (combining)";
break;
default:
throw new CompilerException("Unknown local strategy " + channel.getLocalStrategy().name());
}
if (channel != null && channel.getLocalStrategyKeys() != null && channel.getLocalStrategyKeys().size() > 0) {
localStrategy += " on " + (channel.getLocalStrategySortOrder() == null ? channel.getLocalStrategyKeys().toString() : Utils.createOrdering(channel.getLocalStrategyKeys(), channel.getLocalStrategySortOrder()).toString());
}
if (localStrategy != null) {
writer.print(", \"local_strategy\": \"" + localStrategy + "\"");
}
if (channel != null && channel.getTempMode() != TempMode.NONE) {
String tempMode = channel.getTempMode().toString();
writer.print(", \"temp_mode\": \"" + tempMode + "\"");
}
if (channel != null) {
String exchangeMode = channel.getDataExchangeMode().toString();
writer.print(", \"exchange_mode\": \"" + exchangeMode + "\"");
}
}
writer.print('}');
inputNum++;
}
// finish predecessors
writer.print("\n\t\t]");
}
// ---------------------------------------------------------------------------------------
// the part below here is relevant only to plan nodes with concrete strategies, etc
// ---------------------------------------------------------------------------------------
final PlanNode p = node.getPlanNode();
if (p == null) {
// finish node
writer.print("\n\t}");
return true;
}
// local strategy
String locString = null;
if (p.getDriverStrategy() != null) {
switch(p.getDriverStrategy()) {
case NONE:
case BINARY_NO_OP:
break;
case UNARY_NO_OP:
locString = "No-Op";
break;
case MAP:
locString = "Map";
break;
case FLAT_MAP:
locString = "FlatMap";
break;
case MAP_PARTITION:
locString = "Map Partition";
break;
case ALL_REDUCE:
locString = "Reduce All";
break;
case ALL_GROUP_REDUCE:
case ALL_GROUP_REDUCE_COMBINE:
locString = "Group Reduce All";
break;
case SORTED_REDUCE:
locString = "Sorted Reduce";
break;
case SORTED_PARTIAL_REDUCE:
locString = "Sorted Combine/Reduce";
break;
case SORTED_GROUP_REDUCE:
locString = "Sorted Group Reduce";
break;
case SORTED_GROUP_COMBINE:
locString = "Sorted Combine";
break;
case HYBRIDHASH_BUILD_FIRST:
locString = "Hybrid Hash (build: " + child1name + ")";
break;
case HYBRIDHASH_BUILD_SECOND:
locString = "Hybrid Hash (build: " + child2name + ")";
break;
case HYBRIDHASH_BUILD_FIRST_CACHED:
locString = "Hybrid Hash (CACHED) (build: " + child1name + ")";
break;
case HYBRIDHASH_BUILD_SECOND_CACHED:
locString = "Hybrid Hash (CACHED) (build: " + child2name + ")";
break;
case NESTEDLOOP_BLOCKED_OUTER_FIRST:
locString = "Nested Loops (Blocked Outer: " + child1name + ")";
break;
case NESTEDLOOP_BLOCKED_OUTER_SECOND:
locString = "Nested Loops (Blocked Outer: " + child2name + ")";
break;
case NESTEDLOOP_STREAMED_OUTER_FIRST:
locString = "Nested Loops (Streamed Outer: " + child1name + ")";
break;
case NESTEDLOOP_STREAMED_OUTER_SECOND:
locString = "Nested Loops (Streamed Outer: " + child2name + ")";
break;
case INNER_MERGE:
locString = "Merge";
break;
case CO_GROUP:
locString = "Co-Group";
break;
default:
locString = p.getDriverStrategy().name();
break;
}
if (locString != null) {
writer.print(",\n\t\t\"driver_strategy\": \"");
writer.print(locString);
writer.print("\"");
}
}
{
// output node global properties
final GlobalProperties gp = p.getGlobalProperties();
writer.print(",\n\t\t\"global_properties\": [\n");
addProperty(writer, "Partitioning", gp.getPartitioning().name(), true);
if (gp.getPartitioningFields() != null) {
addProperty(writer, "Partitioned on", gp.getPartitioningFields().toString(), false);
}
if (gp.getPartitioningOrdering() != null) {
addProperty(writer, "Partitioning Order", gp.getPartitioningOrdering().toString(), false);
} else {
addProperty(writer, "Partitioning Order", "(none)", false);
}
if (n.getUniqueFields() == null || n.getUniqueFields().size() == 0) {
addProperty(writer, "Uniqueness", "not unique", false);
} else {
addProperty(writer, "Uniqueness", n.getUniqueFields().toString(), false);
}
writer.print("\n\t\t]");
}
{
// output node local properties
LocalProperties lp = p.getLocalProperties();
writer.print(",\n\t\t\"local_properties\": [\n");
if (lp.getOrdering() != null) {
addProperty(writer, "Order", lp.getOrdering().toString(), true);
} else {
addProperty(writer, "Order", "(none)", true);
}
if (lp.getGroupedFields() != null && lp.getGroupedFields().size() > 0) {
addProperty(writer, "Grouped on", lp.getGroupedFields().toString(), false);
} else {
addProperty(writer, "Grouping", "not grouped", false);
}
if (n.getUniqueFields() == null || n.getUniqueFields().size() == 0) {
addProperty(writer, "Uniqueness", "not unique", false);
} else {
addProperty(writer, "Uniqueness", n.getUniqueFields().toString(), false);
}
writer.print("\n\t\t]");
}
// output node size estimates
writer.print(",\n\t\t\"estimates\": [\n");
addProperty(writer, "Est. Output Size", n.getEstimatedOutputSize() == -1 ? "(unknown)" : formatNumber(n.getEstimatedOutputSize(), "B"), true);
addProperty(writer, "Est. Cardinality", n.getEstimatedNumRecords() == -1 ? "(unknown)" : formatNumber(n.getEstimatedNumRecords()), false);
writer.print("\t\t]");
// output node cost
if (p.getNodeCosts() != null) {
writer.print(",\n\t\t\"costs\": [\n");
addProperty(writer, "Network", p.getNodeCosts().getNetworkCost() == -1 ? "(unknown)" : formatNumber(p.getNodeCosts().getNetworkCost(), "B"), true);
addProperty(writer, "Disk I/O", p.getNodeCosts().getDiskCost() == -1 ? "(unknown)" : formatNumber(p.getNodeCosts().getDiskCost(), "B"), false);
addProperty(writer, "CPU", p.getNodeCosts().getCpuCost() == -1 ? "(unknown)" : formatNumber(p.getNodeCosts().getCpuCost(), ""), false);
addProperty(writer, "Cumulative Network", p.getCumulativeCosts().getNetworkCost() == -1 ? "(unknown)" : formatNumber(p.getCumulativeCosts().getNetworkCost(), "B"), false);
addProperty(writer, "Cumulative Disk I/O", p.getCumulativeCosts().getDiskCost() == -1 ? "(unknown)" : formatNumber(p.getCumulativeCosts().getDiskCost(), "B"), false);
addProperty(writer, "Cumulative CPU", p.getCumulativeCosts().getCpuCost() == -1 ? "(unknown)" : formatNumber(p.getCumulativeCosts().getCpuCost(), ""), false);
writer.print("\n\t\t]");
}
// output the node compiler hints
if (n.getOperator().getCompilerHints() != null) {
CompilerHints hints = n.getOperator().getCompilerHints();
CompilerHints defaults = new CompilerHints();
String size = hints.getOutputSize() == defaults.getOutputSize() ? "(none)" : String.valueOf(hints.getOutputSize());
String card = hints.getOutputCardinality() == defaults.getOutputCardinality() ? "(none)" : String.valueOf(hints.getOutputCardinality());
String width = hints.getAvgOutputRecordSize() == defaults.getAvgOutputRecordSize() ? "(none)" : String.valueOf(hints.getAvgOutputRecordSize());
String filter = hints.getFilterFactor() == defaults.getFilterFactor() ? "(none)" : String.valueOf(hints.getFilterFactor());
writer.print(",\n\t\t\"compiler_hints\": [\n");
addProperty(writer, "Output Size (bytes)", size, true);
addProperty(writer, "Output Cardinality", card, false);
addProperty(writer, "Avg. Output Record Size (bytes)", width, false);
addProperty(writer, "Filter Factor", filter, false);
writer.print("\t\t]");
}
// finish node
writer.print("\n\t}");
return true;
}
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