/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY * KIND, either express or implied. See the License for the * specific language governing permissions and limitations * under the License. */ package hivemall.knn.distance; import hivemall.model.FeatureValue; import hivemall.utils.hadoop.HiveUtils; import java.util.Arrays; import java.util.HashMap; import java.util.List; import java.util.Map; 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.udf.UDFType; import org.apache.hadoop.hive.ql.udf.generic.GenericUDF; import org.apache.hadoop.hive.serde2.objectinspector.ListObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory; import org.apache.hadoop.io.FloatWritable; @Description(name = "minkowski_distance", value = "_FUNC_(list x, list y, double p) - Returns sum(|x - y|^p)^(1/p)") @UDFType(deterministic = true, stateful = false) public final class MinkowskiDistanceUDF extends GenericUDF { private ListObjectInspector arg0ListOI, arg1ListOI; private double order_p; @Override public ObjectInspector initialize(ObjectInspector[] argOIs) throws UDFArgumentException { if (argOIs.length != 3) { throw new UDFArgumentException("minkowski_distance takes 3 arguments"); } this.arg0ListOI = HiveUtils.asListOI(argOIs[0]); this.arg1ListOI = HiveUtils.asListOI(argOIs[1]); this.order_p = HiveUtils.getAsConstDouble(argOIs[2]); return PrimitiveObjectInspectorFactory.writableFloatObjectInspector; } @Override public FloatWritable evaluate(DeferredObject[] arguments) throws HiveException { List<String> ftvec1 = HiveUtils.asStringList(arguments[0], arg0ListOI); List<String> ftvec2 = HiveUtils.asStringList(arguments[1], arg1ListOI); float d = (float) minkowskiDistance(ftvec1, ftvec2, order_p); return new FloatWritable(d); } public static double minkowskiDistance(final List<String> ftvec1, final List<String> ftvec2, final double orderP) { final FeatureValue probe = new FeatureValue(); final Map<String, Float> map = new HashMap<String, Float>(ftvec1.size() * 2 + 1); for (String ft : ftvec1) { if (ft == null) { continue; } FeatureValue.parseFeatureAsString(ft, probe); float v1 = probe.getValueAsFloat(); String f1 = probe.getFeature(); map.put(f1, v1); } double d = 0.d; for (String ft : ftvec2) { if (ft == null) { continue; } FeatureValue.parseFeatureAsString(ft, probe); String f2 = probe.getFeature(); float v2f = probe.getValueAsFloat(); Float v1 = map.remove(f2); if (v1 == null) { d += Math.abs(v2f); } else { float v1f = v1.floatValue(); d += Math.pow(Math.abs(v1f - v2f), orderP); } } for (Map.Entry<String, Float> e : map.entrySet()) { float v1f = e.getValue(); d += Math.pow(Math.abs(v1f), orderP); } return Math.pow(d, 1.d / orderP); } @Override public String getDisplayString(String[] children) { return "minkowski_distance(" + Arrays.toString(children) + ")"; } }