use of org.apache.flink.api.common.operators.CompilerHints in project flink by apache.
the class JsonMapper method getOptimizerPropertiesJson.
public static String getOptimizerPropertiesJson(JsonFactory jsonFactory, PlanNode node) {
try {
final StringWriter writer = new StringWriter(256);
final JsonGenerator gen = jsonFactory.createGenerator(writer);
final OptimizerNode optNode = node.getOptimizerNode();
gen.writeStartObject();
// global properties
if (node.getGlobalProperties() != null) {
GlobalProperties gp = node.getGlobalProperties();
gen.writeArrayFieldStart("global_properties");
addProperty(gen, "Partitioning", gp.getPartitioning().name());
if (gp.getPartitioningFields() != null) {
addProperty(gen, "Partitioned on", gp.getPartitioningFields().toString());
}
if (gp.getPartitioningOrdering() != null) {
addProperty(gen, "Partitioning Order", gp.getPartitioningOrdering().toString());
} else {
addProperty(gen, "Partitioning Order", "(none)");
}
if (optNode.getUniqueFields() == null || optNode.getUniqueFields().size() == 0) {
addProperty(gen, "Uniqueness", "not unique");
} else {
addProperty(gen, "Uniqueness", optNode.getUniqueFields().toString());
}
gen.writeEndArray();
}
// local properties
if (node.getLocalProperties() != null) {
LocalProperties lp = node.getLocalProperties();
gen.writeArrayFieldStart("local_properties");
if (lp.getOrdering() != null) {
addProperty(gen, "Order", lp.getOrdering().toString());
} else {
addProperty(gen, "Order", "(none)");
}
if (lp.getGroupedFields() != null && lp.getGroupedFields().size() > 0) {
addProperty(gen, "Grouped on", lp.getGroupedFields().toString());
} else {
addProperty(gen, "Grouping", "not grouped");
}
if (optNode.getUniqueFields() == null || optNode.getUniqueFields().size() == 0) {
addProperty(gen, "Uniqueness", "not unique");
} else {
addProperty(gen, "Uniqueness", optNode.getUniqueFields().toString());
}
gen.writeEndArray();
}
// output size estimates
{
gen.writeArrayFieldStart("estimates");
addProperty(gen, "Est. Output Size", optNode.getEstimatedOutputSize() == -1 ? "(unknown)" : formatNumber(optNode.getEstimatedOutputSize(), "B"));
addProperty(gen, "Est. Cardinality", optNode.getEstimatedNumRecords() == -1 ? "(unknown)" : formatNumber(optNode.getEstimatedNumRecords()));
gen.writeEndArray();
}
// output node cost
if (node.getNodeCosts() != null) {
gen.writeArrayFieldStart("costs");
addProperty(gen, "Network", node.getNodeCosts().getNetworkCost() == -1 ? "(unknown)" : formatNumber(node.getNodeCosts().getNetworkCost(), "B"));
addProperty(gen, "Disk I/O", node.getNodeCosts().getDiskCost() == -1 ? "(unknown)" : formatNumber(node.getNodeCosts().getDiskCost(), "B"));
addProperty(gen, "CPU", node.getNodeCosts().getCpuCost() == -1 ? "(unknown)" : formatNumber(node.getNodeCosts().getCpuCost(), ""));
addProperty(gen, "Cumulative Network", node.getCumulativeCosts().getNetworkCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getNetworkCost(), "B"));
addProperty(gen, "Cumulative Disk I/O", node.getCumulativeCosts().getDiskCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getDiskCost(), "B"));
addProperty(gen, "Cumulative CPU", node.getCumulativeCosts().getCpuCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getCpuCost(), ""));
gen.writeEndArray();
}
// compiler hints
if (optNode.getOperator().getCompilerHints() != null) {
CompilerHints hints = optNode.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());
gen.writeArrayFieldStart("compiler_hints");
addProperty(gen, "Output Size (bytes)", size);
addProperty(gen, "Output Cardinality", card);
addProperty(gen, "Avg. Output Record Size (bytes)", width);
addProperty(gen, "Filter Factor", filter);
gen.writeEndArray();
}
gen.writeEndObject();
gen.close();
return writer.toString();
} catch (Exception e) {
return "{}";
}
}
use of org.apache.flink.api.common.operators.CompilerHints in project flink by apache.
the class OptimizerNode method computeOutputEstimates.
/**
* Causes this node to compute its output estimates (such as number of rows, size in bytes)
* based on the inputs and the compiler hints. The compiler hints are instantiated with
* conservative default values which are used if no other values are provided. Nodes may access
* the statistics to determine relevant information.
*
* @param statistics The statistics object which may be accessed to get statistical information.
* The parameter may be null, if no statistics are available.
*/
public void computeOutputEstimates(DataStatistics statistics) {
// sanity checking
for (DagConnection c : getIncomingConnections()) {
if (c.getSource() == null) {
throw new CompilerException("Bug: Estimate computation called before inputs have been set.");
}
}
// let every operator do its computation
computeOperatorSpecificDefaultEstimates(statistics);
if (this.estimatedOutputSize < 0) {
this.estimatedOutputSize = -1;
}
if (this.estimatedNumRecords < 0) {
this.estimatedNumRecords = -1;
}
// overwrite default estimates with hints, if given
if (getOperator() == null || getOperator().getCompilerHints() == null) {
return;
}
CompilerHints hints = getOperator().getCompilerHints();
if (hints.getOutputSize() >= 0) {
this.estimatedOutputSize = hints.getOutputSize();
}
if (hints.getOutputCardinality() >= 0) {
this.estimatedNumRecords = hints.getOutputCardinality();
}
if (hints.getFilterFactor() >= 0.0f) {
if (this.estimatedNumRecords >= 0) {
this.estimatedNumRecords = (long) (this.estimatedNumRecords * hints.getFilterFactor());
if (this.estimatedOutputSize >= 0) {
this.estimatedOutputSize = (long) (this.estimatedOutputSize * hints.getFilterFactor());
}
} else if (this instanceof SingleInputNode) {
OptimizerNode pred = ((SingleInputNode) this).getPredecessorNode();
if (pred != null && pred.getEstimatedNumRecords() >= 0) {
this.estimatedNumRecords = (long) (pred.getEstimatedNumRecords() * hints.getFilterFactor());
}
}
}
// use the width to infer the cardinality (given size) and vice versa
if (hints.getAvgOutputRecordSize() >= 1) {
// the estimated number of rows based on size
if (this.estimatedNumRecords == -1 && this.estimatedOutputSize >= 0) {
this.estimatedNumRecords = (long) (this.estimatedOutputSize / hints.getAvgOutputRecordSize());
} else if (this.estimatedOutputSize == -1 && this.estimatedNumRecords >= 0) {
this.estimatedOutputSize = (long) (this.estimatedNumRecords * hints.getAvgOutputRecordSize());
}
}
}
use of org.apache.flink.api.common.operators.CompilerHints 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;
}
Aggregations