Java tutorial
/** * 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 org.apache.hadoop.hive.ql.udf; import org.apache.hadoop.hive.ql.exec.UDF; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; public class UDFDefaultSampleHashFn extends UDF { protected final Log LOG; public UDFDefaultSampleHashFn() { LOG = LogFactory.getLog(this.getClass().getName()); } public int evaluate(Object o) { return o.hashCode(); } // TODO: For now, only allow up to two columns on which to sample // Going forward we will allow sampling on an arbitrary number of columns public int evaluate(Object o1, Object o2) { return o1.hashCode() ^ o2.hashCode(); } }