use of org.apache.hyracks.dataflow.std.group.aggregators.IntSumFieldAggregatorFactory in project asterixdb by apache.
the class Join method createJob.
private static JobSpecification createJob(FileSplit[] customerSplits, FileSplit[] orderSplits, FileSplit[] resultSplits, int numJoinPartitions, String algo, int graceInputSize, int graceRecordsPerFrame, double graceFactor, int memSize, int tableSize, boolean hasGroupBy, int frameSize) throws HyracksDataException {
JobSpecification spec = new JobSpecification(frameSize);
IFileSplitProvider custSplitsProvider = new ConstantFileSplitProvider(customerSplits);
long custFileSize = 0;
for (int i = 0; i < customerSplits.length; i++) {
custFileSize += customerSplits[i].getFile(null).length();
}
IFileSplitProvider ordersSplitsProvider = new ConstantFileSplitProvider(orderSplits);
long orderFileSize = 0;
for (int i = 0; i < orderSplits.length; i++) {
orderFileSize += orderSplits[i].getFile(null).length();
}
FileScanOperatorDescriptor ordScanner = new FileScanOperatorDescriptor(spec, ordersSplitsProvider, new DelimitedDataTupleParserFactory(orderParserFactories, '|'), Common.ordersDesc);
createPartitionConstraint(spec, ordScanner, orderSplits);
FileScanOperatorDescriptor custScanner = new FileScanOperatorDescriptor(spec, custSplitsProvider, new DelimitedDataTupleParserFactory(custParserFactories, '|'), Common.custDesc);
createPartitionConstraint(spec, custScanner, customerSplits);
IOperatorDescriptor join;
if ("nestedloop".equalsIgnoreCase(algo)) {
join = new NestedLoopJoinOperatorDescriptor(spec, new JoinComparatorFactory(PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY), 0, 1), Common.custOrderJoinDesc, memSize, false, null);
} else if ("inmem".equalsIgnoreCase(algo)) {
join = new InMemoryHashJoinOperatorDescriptor(spec, new int[] { 0 }, new int[] { 1 }, new IBinaryHashFunctionFactory[] { PointableBinaryHashFunctionFactory.of(UTF8StringPointable.FACTORY) }, new IBinaryComparatorFactory[] { PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY) }, Common.custOrderJoinDesc, tableSize, null, memSize * frameSize);
} else if ("hybrid".equalsIgnoreCase(algo)) {
join = new OptimizedHybridHashJoinOperatorDescriptor(spec, memSize, graceInputSize, graceFactor, new int[] { 0 }, new int[] { 1 }, new IBinaryHashFunctionFamily[] { UTF8StringBinaryHashFunctionFamily.INSTANCE }, new IBinaryComparatorFactory[] { PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY) }, Common.custOrderJoinDesc, new JoinComparatorFactory(PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY), 0, 1), new JoinComparatorFactory(PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY), 1, 0), null);
} else {
System.err.println("unknown algorithm:" + algo);
return null;
}
PartitionConstraintHelper.addPartitionCountConstraint(spec, join, numJoinPartitions);
IConnectorDescriptor ordJoinConn = new MToNPartitioningConnectorDescriptor(spec, new FieldHashPartitionComputerFactory(new int[] { 1 }, new IBinaryHashFunctionFactory[] { PointableBinaryHashFunctionFactory.of(UTF8StringPointable.FACTORY) }));
spec.connect(ordJoinConn, ordScanner, 0, join, 1);
IConnectorDescriptor custJoinConn = new MToNPartitioningConnectorDescriptor(spec, new FieldHashPartitionComputerFactory(new int[] { 0 }, new IBinaryHashFunctionFactory[] { PointableBinaryHashFunctionFactory.of(UTF8StringPointable.FACTORY) }));
spec.connect(custJoinConn, custScanner, 0, join, 0);
IOperatorDescriptor endingOp = join;
if (hasGroupBy) {
RecordDescriptor groupResultDesc = new RecordDescriptor(new ISerializerDeserializer[] { new UTF8StringSerializerDeserializer(), IntegerSerializerDeserializer.INSTANCE });
ExternalGroupOperatorDescriptor gby = new ExternalGroupOperatorDescriptor(spec, tableSize, custFileSize + orderFileSize, new int[] { 6 }, memSize, new IBinaryComparatorFactory[] { PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY) }, new UTF8StringNormalizedKeyComputerFactory(), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(1, false), new IntSumFieldAggregatorFactory(3, false), new FloatSumFieldAggregatorFactory(5, false) }), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(1, false), new IntSumFieldAggregatorFactory(2, false), new FloatSumFieldAggregatorFactory(3, false) }), groupResultDesc, groupResultDesc, new HashSpillableTableFactory(new IBinaryHashFunctionFamily[] { UTF8StringBinaryHashFunctionFamily.INSTANCE }));
createPartitionConstraint(spec, gby, resultSplits);
IConnectorDescriptor joinGroupConn = new MToNPartitioningConnectorDescriptor(spec, new FieldHashPartitionComputerFactory(new int[] { 6 }, new IBinaryHashFunctionFactory[] { PointableBinaryHashFunctionFactory.of(UTF8StringPointable.FACTORY) }));
spec.connect(joinGroupConn, join, 0, gby, 0);
endingOp = gby;
}
IFileSplitProvider outSplitProvider = new ConstantFileSplitProvider(resultSplits);
//FrameFileWriterOperatorDescriptor writer = new FrameFileWriterOperatorDescriptor(spec, outSplitProvider);
IOperatorDescriptor writer = new PlainFileWriterOperatorDescriptor(spec, outSplitProvider, "|");
createPartitionConstraint(spec, writer, resultSplits);
IConnectorDescriptor endingPrinterConn = new OneToOneConnectorDescriptor(spec);
spec.connect(endingPrinterConn, endingOp, 0, writer, 0);
spec.addRoot(writer);
return spec;
}
use of org.apache.hyracks.dataflow.std.group.aggregators.IntSumFieldAggregatorFactory in project asterixdb by apache.
the class WordCountMain method createJob.
private static JobSpecification createJob(FileSplit[] inSplits, FileSplit[] outSplits, String algo, int htSize, int frameLimit, String format, int frameSize) {
JobSpecification spec = new JobSpecification(frameSize);
IFileSplitProvider splitsProvider = new ConstantFileSplitProvider(inSplits);
RecordDescriptor wordDesc = new RecordDescriptor(new ISerializerDeserializer[] { new UTF8StringSerializerDeserializer() });
FileScanOperatorDescriptor wordScanner = new FileScanOperatorDescriptor(spec, splitsProvider, new WordTupleParserFactory(), wordDesc);
createPartitionConstraint(spec, wordScanner, inSplits);
RecordDescriptor groupResultDesc = new RecordDescriptor(new ISerializerDeserializer[] { new UTF8StringSerializerDeserializer(), IntegerSerializerDeserializer.INSTANCE });
IOperatorDescriptor gBy;
int[] keys = new int[] { 0 };
if ("hash".equalsIgnoreCase(algo)) {
gBy = new ExternalGroupOperatorDescriptor(spec, htSize, fileSize, keys, frameLimit, new IBinaryComparatorFactory[] { PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY) }, new UTF8StringNormalizedKeyComputerFactory(), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(1, false), new IntSumFieldAggregatorFactory(3, false), new FloatSumFieldAggregatorFactory(5, false) }), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(1, false), new IntSumFieldAggregatorFactory(2, false), new FloatSumFieldAggregatorFactory(3, false) }), groupResultDesc, groupResultDesc, new HashSpillableTableFactory(new IBinaryHashFunctionFamily[] { UTF8StringBinaryHashFunctionFamily.INSTANCE }));
createPartitionConstraint(spec, gBy, outSplits);
IConnectorDescriptor scanGroupConn = new MToNPartitioningConnectorDescriptor(spec, new FieldHashPartitionComputerFactory(keys, new IBinaryHashFunctionFactory[] { PointableBinaryHashFunctionFactory.of(UTF8StringPointable.FACTORY) }));
spec.connect(scanGroupConn, wordScanner, 0, gBy, 0);
} else {
IBinaryComparatorFactory[] cfs = new IBinaryComparatorFactory[] { PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY) };
IOperatorDescriptor sorter = "memsort".equalsIgnoreCase(algo) ? new InMemorySortOperatorDescriptor(spec, keys, new UTF8StringNormalizedKeyComputerFactory(), cfs, wordDesc) : new ExternalSortOperatorDescriptor(spec, frameLimit, keys, new UTF8StringNormalizedKeyComputerFactory(), cfs, wordDesc);
createPartitionConstraint(spec, sorter, outSplits);
IConnectorDescriptor scanSortConn = new MToNPartitioningConnectorDescriptor(spec, new FieldHashPartitionComputerFactory(keys, new IBinaryHashFunctionFactory[] { PointableBinaryHashFunctionFactory.of(UTF8StringPointable.FACTORY) }));
spec.connect(scanSortConn, wordScanner, 0, sorter, 0);
gBy = new PreclusteredGroupOperatorDescriptor(spec, keys, new IBinaryComparatorFactory[] { PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY) }, new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new CountFieldAggregatorFactory(true) }), groupResultDesc);
createPartitionConstraint(spec, gBy, outSplits);
OneToOneConnectorDescriptor sortGroupConn = new OneToOneConnectorDescriptor(spec);
spec.connect(sortGroupConn, sorter, 0, gBy, 0);
}
IFileSplitProvider outSplitProvider = new ConstantFileSplitProvider(outSplits);
IOperatorDescriptor writer = "text".equalsIgnoreCase(format) ? new PlainFileWriterOperatorDescriptor(spec, outSplitProvider, ",") : new FrameFileWriterOperatorDescriptor(spec, outSplitProvider);
createPartitionConstraint(spec, writer, outSplits);
IConnectorDescriptor gbyPrinterConn = new OneToOneConnectorDescriptor(spec);
spec.connect(gbyPrinterConn, gBy, 0, writer, 0);
spec.addRoot(writer);
return spec;
}
use of org.apache.hyracks.dataflow.std.group.aggregators.IntSumFieldAggregatorFactory 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;
}
use of org.apache.hyracks.dataflow.std.group.aggregators.IntSumFieldAggregatorFactory in project asterixdb by apache.
the class LocalityAwareConnectorTest method localityAwareAggregationTest.
/**
* Test of aggregations using locality aware connector. The output two files should be the
* same, each of which is the aggregation of two copies of the lineitem.tbl.
* Note that if the hashing connector is not working correctly, the two files may be different. This
* also means that even the output files are the same, the hashing may have other problems.
*
* @throws Exception
*/
@Test
public void localityAwareAggregationTest() throws Exception {
JobSpecification spec = new JobSpecification();
FileScanOperatorDescriptor csvScanner = new FileScanOperatorDescriptor(spec, splitProvider, tupleParserFactory, desc);
PartitionConstraintHelper.addAbsoluteLocationConstraint(spec, csvScanner, "asterix-001", "asterix-002", "asterix-003", "asterix-004");
RecordDescriptor outputRec = new RecordDescriptor(new ISerializerDeserializer[] { new UTF8StringSerializerDeserializer(), IntegerSerializerDeserializer.INSTANCE, IntegerSerializerDeserializer.INSTANCE, FloatSerializerDeserializer.INSTANCE });
int[] keyFields = new int[] { 0 };
int tableSize = 8;
ExternalGroupOperatorDescriptor grouper = new ExternalGroupOperatorDescriptor(spec, tableSize, fileSize, keyFields, fileSize / spec.getFrameSize() + 1, new IBinaryComparatorFactory[] { PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY) }, new UTF8StringNormalizedKeyComputerFactory(), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(1, false), new IntSumFieldAggregatorFactory(3, false), new FloatSumFieldAggregatorFactory(5, false) }), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(1, false), new IntSumFieldAggregatorFactory(2, false), new FloatSumFieldAggregatorFactory(3, false) }), outputRec, outputRec, new HashSpillableTableFactory(new IBinaryHashFunctionFamily[] { UTF8StringBinaryHashFunctionFamily.INSTANCE }));
PartitionConstraintHelper.addAbsoluteLocationConstraint(spec, grouper, "asterix-005", "asterix-006");
BitSet nodemap = new BitSet(8);
nodemap.set(0);
nodemap.set(2);
nodemap.set(5);
nodemap.set(7);
IConnectorDescriptor conn1 = new LocalityAwareMToNPartitioningConnectorDescriptor(spec, new FieldHashPartitionComputerFactory(keyFields, new IBinaryHashFunctionFactory[] { PointableBinaryHashFunctionFactory.of(UTF8StringPointable.FACTORY) }), new HashtableLocalityMap(nodemap));
spec.connect(conn1, csvScanner, 0, grouper, 0);
AbstractSingleActivityOperatorDescriptor printer = getPrinter(spec, "localityAwareSumInmemGroupTest");
PartitionConstraintHelper.addAbsoluteLocationConstraint(spec, printer, "asterix-005", "asterix-006");
IConnectorDescriptor conn2 = new OneToOneConnectorDescriptor(spec);
spec.connect(conn2, grouper, 0, printer, 0);
spec.addRoot(printer);
runTest(spec);
}
use of org.apache.hyracks.dataflow.std.group.aggregators.IntSumFieldAggregatorFactory in project asterixdb by apache.
the class LocalityAwareConnectorTest method globalPartitionAggregationTest.
/**
* Test for locality aware connector, using the global hashing node mapper. This should have
* the exactly the same result as using {@link MToNPartitioningConnectorDescriptor}.
*
* @throws Exception
*/
@Test
public void globalPartitionAggregationTest() throws Exception {
JobSpecification spec = new JobSpecification();
FileScanOperatorDescriptor csvScanner = new FileScanOperatorDescriptor(spec, splitProvider, tupleParserFactory, desc);
PartitionConstraintHelper.addAbsoluteLocationConstraint(spec, csvScanner, "asterix-001", "asterix-002", "asterix-003", "asterix-004");
RecordDescriptor outputRec = new RecordDescriptor(new ISerializerDeserializer[] { new UTF8StringSerializerDeserializer(), IntegerSerializerDeserializer.INSTANCE, IntegerSerializerDeserializer.INSTANCE, FloatSerializerDeserializer.INSTANCE });
int[] keyFields = new int[] { 0 };
int tableSize = 8;
ExternalGroupOperatorDescriptor grouper = new ExternalGroupOperatorDescriptor(spec, tableSize, fileSize, keyFields, fileSize / spec.getFrameSize() + 1, new IBinaryComparatorFactory[] { PointableBinaryComparatorFactory.of(UTF8StringPointable.FACTORY) }, new UTF8StringNormalizedKeyComputerFactory(), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(1, false), new IntSumFieldAggregatorFactory(3, false), new FloatSumFieldAggregatorFactory(5, false) }), new MultiFieldsAggregatorFactory(new IFieldAggregateDescriptorFactory[] { new IntSumFieldAggregatorFactory(1, false), new IntSumFieldAggregatorFactory(2, false), new FloatSumFieldAggregatorFactory(3, false) }), outputRec, outputRec, new HashSpillableTableFactory(new IBinaryHashFunctionFamily[] { UTF8StringBinaryHashFunctionFamily.INSTANCE }));
PartitionConstraintHelper.addAbsoluteLocationConstraint(spec, grouper, "asterix-005", "asterix-006");
IConnectorDescriptor conn1 = new LocalityAwareMToNPartitioningConnectorDescriptor(spec, new FieldHashPartitionComputerFactory(keyFields, new IBinaryHashFunctionFactory[] { PointableBinaryHashFunctionFactory.of(UTF8StringPointable.FACTORY) }), new GlobalHashingLocalityMap());
spec.connect(conn1, csvScanner, 0, grouper, 0);
AbstractSingleActivityOperatorDescriptor printer = getPrinter(spec, "localityAwareSumInmemGroupTest");
PartitionConstraintHelper.addAbsoluteLocationConstraint(spec, printer, "asterix-005", "asterix-006");
IConnectorDescriptor conn2 = new OneToOneConnectorDescriptor(spec);
spec.connect(conn2, grouper, 0, printer, 0);
spec.addRoot(printer);
runTest(spec);
}
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