use of org.apache.hyracks.dataflow.std.group.sort.SortGroupByOperatorDescriptor in project asterixdb by apache.
the class SortGroupByPOperator method contributeRuntimeOperator.
@Override
public void contributeRuntimeOperator(IHyracksJobBuilder builder, JobGenContext context, ILogicalOperator op, IOperatorSchema opSchema, IOperatorSchema[] inputSchemas, IOperatorSchema outerPlanSchema) throws AlgebricksException {
List<LogicalVariable> gbyCols = getGbyColumns();
int[] keys = JobGenHelper.variablesToFieldIndexes(gbyCols, inputSchemas[0]);
GroupByOperator gby = (GroupByOperator) op;
int numFds = gby.getDecorList().size();
int[] fdColumns = new int[numFds];
int j = 0;
for (Pair<LogicalVariable, Mutable<ILogicalExpression>> p : gby.getDecorList()) {
ILogicalExpression expr = p.second.getValue();
if (expr.getExpressionTag() != LogicalExpressionTag.VARIABLE) {
throw new AlgebricksException("Sort group-by expects variable references.");
}
VariableReferenceExpression v = (VariableReferenceExpression) expr;
LogicalVariable decor = v.getVariableReference();
fdColumns[j++] = inputSchemas[0].findVariable(decor);
}
if (gby.getNestedPlans().size() != 1) {
throw new AlgebricksException("Sort group-by currently works only for one nested plan with one root containing" + "an aggregate and a nested-tuple-source.");
}
ILogicalPlan p0 = gby.getNestedPlans().get(0);
if (p0.getRoots().size() != 1) {
throw new AlgebricksException("Sort group-by currently works only for one nested plan with one root containing" + "an aggregate and a nested-tuple-source.");
}
Mutable<ILogicalOperator> r0 = p0.getRoots().get(0);
AggregateOperator aggOp = (AggregateOperator) r0.getValue();
IPartialAggregationTypeComputer partialAggregationTypeComputer = context.getPartialAggregationTypeComputer();
List<Object> intermediateTypes = new ArrayList<Object>();
int n = aggOp.getExpressions().size();
IAggregateEvaluatorFactory[] aff = new IAggregateEvaluatorFactory[n];
int i = 0;
IExpressionRuntimeProvider expressionRuntimeProvider = context.getExpressionRuntimeProvider();
IVariableTypeEnvironment aggOpInputEnv = context.getTypeEnvironment(aggOp.getInputs().get(0).getValue());
IVariableTypeEnvironment outputEnv = context.getTypeEnvironment(op);
for (Mutable<ILogicalExpression> exprRef : aggOp.getExpressions()) {
AggregateFunctionCallExpression aggFun = (AggregateFunctionCallExpression) exprRef.getValue();
aff[i++] = expressionRuntimeProvider.createAggregateFunctionFactory(aggFun, aggOpInputEnv, inputSchemas, context);
intermediateTypes.add(partialAggregationTypeComputer.getType(aggFun, aggOpInputEnv, context.getMetadataProvider()));
}
int[] keyAndDecFields = new int[keys.length + fdColumns.length];
for (i = 0; i < keys.length; ++i) {
keyAndDecFields[i] = keys[i];
}
for (i = 0; i < fdColumns.length; i++) {
keyAndDecFields[keys.length + i] = fdColumns[i];
}
List<LogicalVariable> keyAndDecVariables = new ArrayList<LogicalVariable>();
for (Pair<LogicalVariable, Mutable<ILogicalExpression>> p : gby.getGroupByList()) {
keyAndDecVariables.add(p.first);
}
for (Pair<LogicalVariable, Mutable<ILogicalExpression>> p : gby.getDecorList()) {
keyAndDecVariables.add(GroupByOperator.getDecorVariable(p));
}
for (LogicalVariable var : keyAndDecVariables) {
aggOpInputEnv.setVarType(var, outputEnv.getVarType(var));
}
compileSubplans(inputSchemas[0], gby, opSchema, context);
IOperatorDescriptorRegistry spec = builder.getJobSpec();
IBinaryComparatorFactory[] compFactories = new IBinaryComparatorFactory[gbyCols.size()];
IBinaryComparatorFactoryProvider bcfProvider = context.getBinaryComparatorFactoryProvider();
i = 0;
for (LogicalVariable v : gbyCols) {
Object type = aggOpInputEnv.getVarType(v);
if (orderColumns[i].getOrder() == OrderKind.ASC) {
compFactories[i] = bcfProvider.getBinaryComparatorFactory(type, true);
} else {
compFactories[i] = bcfProvider.getBinaryComparatorFactory(type, false);
}
i++;
}
RecordDescriptor recordDescriptor = JobGenHelper.mkRecordDescriptor(context.getTypeEnvironment(op), opSchema, context);
IAggregateEvaluatorFactory[] merges = new IAggregateEvaluatorFactory[n];
List<LogicalVariable> usedVars = new ArrayList<LogicalVariable>();
IOperatorSchema[] localInputSchemas = new IOperatorSchema[1];
localInputSchemas[0] = new OperatorSchemaImpl();
for (i = 0; i < n; i++) {
AggregateFunctionCallExpression aggFun = (AggregateFunctionCallExpression) aggOp.getMergeExpressions().get(i).getValue();
aggFun.getUsedVariables(usedVars);
}
i = 0;
for (Object type : intermediateTypes) {
aggOpInputEnv.setVarType(usedVars.get(i++), type);
}
for (LogicalVariable keyVar : keyAndDecVariables) {
localInputSchemas[0].addVariable(keyVar);
}
for (LogicalVariable usedVar : usedVars) {
localInputSchemas[0].addVariable(usedVar);
}
for (i = 0; i < n; i++) {
AggregateFunctionCallExpression mergeFun = (AggregateFunctionCallExpression) aggOp.getMergeExpressions().get(i).getValue();
merges[i] = expressionRuntimeProvider.createAggregateFunctionFactory(mergeFun, aggOpInputEnv, localInputSchemas, context);
}
RecordDescriptor partialAggRecordDescriptor = JobGenHelper.mkRecordDescriptor(context.getTypeEnvironment(op), localInputSchemas[0], context);
IAggregatorDescriptorFactory aggregatorFactory = new SimpleAlgebricksAccumulatingAggregatorFactory(aff, keyAndDecFields);
IAggregatorDescriptorFactory mergeFactory = new SimpleAlgebricksAccumulatingAggregatorFactory(merges, keyAndDecFields);
INormalizedKeyComputerFactory normalizedKeyFactory = null;
INormalizedKeyComputerFactoryProvider nkcfProvider = context.getNormalizedKeyComputerFactoryProvider();
if (nkcfProvider == null) {
normalizedKeyFactory = null;
}
Object type = aggOpInputEnv.getVarType(gbyCols.get(0));
normalizedKeyFactory = orderColumns[0].getOrder() == OrderKind.ASC ? nkcfProvider.getNormalizedKeyComputerFactory(type, true) : nkcfProvider.getNormalizedKeyComputerFactory(type, false);
SortGroupByOperatorDescriptor gbyOpDesc = new SortGroupByOperatorDescriptor(spec, frameLimit, keys, keyAndDecFields, normalizedKeyFactory, compFactories, aggregatorFactory, mergeFactory, partialAggRecordDescriptor, recordDescriptor, false);
contributeOpDesc(builder, gby, gbyOpDesc);
ILogicalOperator src = op.getInputs().get(0).getValue();
builder.contributeGraphEdge(src, 0, op, 0);
}
use of org.apache.hyracks.dataflow.std.group.sort.SortGroupByOperatorDescriptor in project asterixdb by apache.
the class Groupby method createJob.
private static JobSpecification createJob(FileSplit[] inSplits, FileSplit[] outSplits, int htSize, long fileSize, int frameLimit, int frameSize, String alg, boolean outPlain) {
JobSpecification spec = new JobSpecification(frameSize);
IFileSplitProvider splitsProvider = new ConstantFileSplitProvider(inSplits);
FileScanOperatorDescriptor fileScanner = new FileScanOperatorDescriptor(spec, splitsProvider, new DelimitedDataTupleParserFactory(lineitemParserFactories, '|'), lineitemDesc);
createPartitionConstraint(spec, fileScanner, inSplits);
// Output: each unique string with an integer count
RecordDescriptor outDesc = new RecordDescriptor(new ISerializerDeserializer[] { IntegerSerializerDeserializer.INSTANCE, // IntegerSerializerDeserializer.INSTANCE,
IntegerSerializerDeserializer.INSTANCE });
// Specify the grouping key, which will be the string extracted during
// the scan.
int[] keys = new int[] { 0 };
AbstractOperatorDescriptor grouper;
if (alg.equalsIgnoreCase("hash")) {
// external hash graph
grouper = new ExternalGroupOperatorDescriptor(spec, htSize, fileSize, keys, frameLimit, new IBinaryComparatorFactory[] { // PointableBinaryComparatorFactory.of(IntegerPointable.FACTORY),
PointableBinaryComparatorFactory.of(IntegerPointable.FACTORY) }, new IntegerNormalizedKeyComputerFactory(), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new CountFieldAggregatorFactory(false) }), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(keys.length, false) }), outDesc, outDesc, new HashSpillableTableFactory(new IBinaryHashFunctionFamily[] { MurmurHash3BinaryHashFunctionFamily.INSTANCE }));
createPartitionConstraint(spec, grouper, outSplits);
} else if (alg.equalsIgnoreCase("sort")) {
grouper = new SortGroupByOperatorDescriptor(spec, frameLimit, keys, keys, new IntegerNormalizedKeyComputerFactory(), new IBinaryComparatorFactory[] { // PointableBinaryComparatorFactory.of(IntegerPointable.FACTORY),
PointableBinaryComparatorFactory.of(IntegerPointable.FACTORY) }, new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new CountFieldAggregatorFactory(true) }), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(keys.length, true) }), outDesc, outDesc, false);
createPartitionConstraint(spec, grouper, outSplits);
} else {
System.err.println("unknow groupby alg:" + alg);
return null;
}
// Connect scanner with the grouper
IConnectorDescriptor scanGroupConnDef2 = new MToNPartitioningConnectorDescriptor(spec, new FieldHashPartitionComputerFactory(keys, new IBinaryHashFunctionFactory[] { // PointableBinaryHashFunctionFactory.of(IntegerPointable.FACTORY),
PointableBinaryHashFunctionFactory.of(IntegerPointable.FACTORY) }));
spec.connect(scanGroupConnDef2, fileScanner, 0, grouper, 0);
IFileSplitProvider outSplitProvider = new ConstantFileSplitProvider(outSplits);
AbstractSingleActivityOperatorDescriptor writer = outPlain ? new PlainFileWriterOperatorDescriptor(spec, outSplitProvider, "|") : new FrameFileWriterOperatorDescriptor(spec, outSplitProvider);
createPartitionConstraint(spec, writer, outSplits);
IConnectorDescriptor groupOutConn = new OneToOneConnectorDescriptor(spec);
spec.connect(groupOutConn, grouper, 0, writer, 0);
spec.addRoot(writer);
return spec;
}
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