Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*
* Copyright 2016, Yahoo! Inc.
* Licensed under the terms of the Apache License 2.0. See LICENSE file at the project root for terms.
*/
package com.yahoo.sketches.hive.tuple;
import static com.yahoo.sketches.Util.DEFAULT_NOMINAL_ENTRIES;
import java.util.Arrays;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.parse.SemanticException;
import org.apache.hadoop.hive.ql.udf.generic.AbstractGenericUDAFResolver;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFParameterInfo;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils;
@Description(
name = "DataToArrayOfDoublesSketch",
value = "_FUNC_(key, double param 1, ..., double param N, nominal number of entries, sampling probability)",
extended = "Returns an ArrayOfDoublesSketch as a binary blob that can be operated on by other"
+ " ArrayOfDoublesSketch related functions. "
+ "The nominal number of entries is optional, must be a power of 2,"
+ " and controls the relative error expected from the sketch."
+ " A number of 16384 can be expected to yield errors of roughly +-1.5% in the estimation of"
+ " uniques. The default number is defined in the sketches-core library, and at the time of this"
+ " writing was 4096 (about 3% error)."
+ " The sampling probability is optional and must be from 0 to 1. The default is 1 (no sampling)")
public class DataToArrayOfDoublesSketchUDAF extends AbstractGenericUDAFResolver {
@Override
public GenericUDAFEvaluator getEvaluator(final GenericUDAFParameterInfo info) throws SemanticException {
final ObjectInspector[] inspectors = info.getParameterObjectInspectors();
if (inspectors.length < 2) {
throw new UDFArgumentException("Expected at least 2 arguments");
}
ObjectInspectorValidator.validateCategoryPrimitive(inspectors[0], 0);
int numValues = 0;
while (numValues + 1 < inspectors.length) {
ObjectInspectorValidator.validateCategoryPrimitive(inspectors[numValues + 1], numValues + 1);
final PrimitiveObjectInspector primitiveInspector =
(PrimitiveObjectInspector) inspectors[numValues + 1];
if (primitiveInspector.getPrimitiveCategory() != PrimitiveCategory.DOUBLE) { break; }
numValues++;
}
if (numValues == 0) {
throw new UDFArgumentException("Expected at least 1 double value");
}
// nominal number of entries
if (inspectors.length > numValues + 1) {
ObjectInspectorValidator.validateIntegralParameter(inspectors[numValues + 1], numValues + 1);
}
// sampling probability
if (inspectors.length > numValues + 2) {
ObjectInspectorValidator.validateGivenPrimitiveCategory(inspectors[numValues + 2],
numValues + 2, PrimitiveCategory.FLOAT);
}
// there must be nothing after sampling probability
if (inspectors.length > numValues + 3) {
throw new UDFArgumentException("Unexpected argument " + (numValues + 4));
}
return new DataToArrayOfDoublesSketchEvaluator();
}
public static class DataToArrayOfDoublesSketchEvaluator extends ArrayOfDoublesSketchEvaluator {
private static final float DEFAULT_SAMPLING_PROBABILITY = 1f;
private PrimitiveObjectInspector keyInspector_;
private PrimitiveObjectInspector[] valuesInspectors_;
private PrimitiveObjectInspector samplingProbabilityInspector_;
private int numValues_;
private Mode mode_;
@Override
public ObjectInspector init(final Mode mode, final ObjectInspector[] parameters) throws HiveException {
super.init(mode, parameters);
mode_ = mode;
if (mode == Mode.PARTIAL1 || mode == Mode.COMPLETE) {
// input is original data
keyInspector_ = (PrimitiveObjectInspector) parameters[0];
numValues_ = 0;
while (numValues_ + 1 < parameters.length) {
if (((PrimitiveObjectInspector) parameters[numValues_ + 1]).getPrimitiveCategory()
!= PrimitiveCategory.DOUBLE) {
break;
}
numValues_++;
}
valuesInspectors_ = new PrimitiveObjectInspector[numValues_];
for (int i = 0; i < numValues_; i++) {
valuesInspectors_[i] = (PrimitiveObjectInspector) parameters[i + 1];
}
if (parameters.length > numValues_ + 1) {
nominalNumEntriesInspector_ = (PrimitiveObjectInspector) parameters[numValues_ + 1];
}
if (parameters.length > numValues_ + 2) {
samplingProbabilityInspector_ = (PrimitiveObjectInspector) parameters[numValues_ + 2];
}
} else {
// input for PARTIAL2 and FINAL is the output from PARTIAL1
intermediateInspector_ = (StructObjectInspector) parameters[0];
}
if (mode == Mode.PARTIAL1 || mode == Mode.PARTIAL2) {
// intermediate results need to include the the nominal number of entries and number of values
return ObjectInspectorFactory.getStandardStructObjectInspector(
Arrays.asList(NOMINAL_NUM_ENTRIES_FIELD, NUM_VALUES_FIELD, SKETCH_FIELD),
Arrays.asList(
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(PrimitiveCategory.INT),
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(PrimitiveCategory.INT),
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(PrimitiveCategory.BINARY)
)
);
}
// final results include just the sketch
return PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(PrimitiveCategory.BINARY);
}
@Override
public void iterate(final @SuppressWarnings("deprecation") AggregationBuffer buf,
final Object[] data) throws HiveException {
if (data[0] == null) { return; }
final ArrayOfDoublesSketchState state = (ArrayOfDoublesSketchState) buf;
if (!state.isInitialized()) {
initializeState(state, data);
}
state.update(data, keyInspector_, valuesInspectors_);
}
private void initializeState(final ArrayOfDoublesSketchState state, final Object[] data) {
int nominalNumEntries = DEFAULT_NOMINAL_ENTRIES;
if (nominalNumEntriesInspector_ != null) {
nominalNumEntries =
PrimitiveObjectInspectorUtils.getInt(data[numValues_ + 1], nominalNumEntriesInspector_);
}
float samplingProbability = DEFAULT_SAMPLING_PROBABILITY;
if (samplingProbabilityInspector_ != null) {
samplingProbability = PrimitiveObjectInspectorUtils.getFloat(data[numValues_ + 2],
samplingProbabilityInspector_);
}
state.init(nominalNumEntries, samplingProbability, numValues_);
}
@SuppressWarnings("deprecation")
@Override
public AggregationBuffer getNewAggregationBuffer() throws HiveException {
if (mode_ == Mode.PARTIAL1 || mode_ == Mode.COMPLETE) {
return new ArrayOfDoublesSketchState();
}
return new ArrayOfDoublesUnionState();
}
}
}
