/* * 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.ftvec; import java.util.ArrayList; import java.util.List; import javax.annotation.Nonnull; import javax.annotation.Nullable; import org.apache.hadoop.hive.ql.exec.Description; import org.apache.hadoop.hive.ql.exec.UDF; import org.apache.hadoop.hive.ql.metadata.HiveException; import org.apache.hadoop.hive.ql.udf.UDFType; import org.apache.hadoop.io.IntWritable; @Description( name = "feature_index", value = "_FUNC_(feature_vector in array<string>) - Returns feature indicies in array<index>") @UDFType(deterministic = true, stateful = false) public final class FeatureIndexUDF extends UDF { @Nullable public IntWritable evaluate(@Nullable String feature) throws HiveException { if (feature == null) { return null; } int idx = featureIndex(feature); return new IntWritable(idx); } @Nullable public List<IntWritable> evaluate(@Nullable List<String> featureVector) throws HiveException { if (featureVector == null) { return null; } final int size = featureVector.size(); final List<IntWritable> list = new ArrayList<IntWritable>(size); for (String f : featureVector) { if (f != null) { int fi = featureIndex(f); list.add(new IntWritable(fi)); } } return list; } private static int featureIndex(@Nonnull final String feature) throws HiveException { final String f = extractFeature(feature); try { return Integer.parseInt(f); } catch (NumberFormatException e) { throw new HiveException(e); } } @Nonnull private static String extractFeature(@Nonnull final String feature) { final int pos = feature.indexOf(":"); if (pos > 0) { return feature.substring(0, pos); } else { return feature; } } }