myui commented on a change in pull request #193: [WIP][HIVEMALL-253-2] 
map_roulette UDF
URL: https://github.com/apache/incubator-hivemall/pull/193#discussion_r297036896
 
 

 ##########
 File path: core/src/test/java/hivemall/tools/map/MapRouletteUDFTest.java
 ##########
 @@ -0,0 +1,153 @@
+/*
+ * 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.tools.map;
+
+import hivemall.TestUtils;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.Comparator;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import org.apache.hadoop.hive.ql.metadata.HiveException;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
+import 
org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
+import org.junit.Assert;
+import org.junit.Test;
+
+/**
+ * Unit test for {@link hivemall.tools.map.MapRouletteUDF}
+ */
+public class MapRouletteUDFTest {
+
+    /**
+     * Tom, Jerry, Amy, Wong, Zhao joined a roulette. Jerry has 0.2 weight to 
win. Zhao's weight is
+     * highest, he has more chance to win. During data processing ,Tom 's 
weight was Lost. Algorithm
+     * treat Tom 's weight as average. After 1000000 times of roulette, Zhao 
wins the most. Jerry
+     * wins less than Zhao but more than the other.
+     *
+     * @throws HiveException fmp.initialize may throws UDFArgumentException 
when checking parameter,
+     *         
org.apache.hadoop.hive.serde2.objectinspector.MapObjectInspector#getMap(java.lang.Object)
+     *         may throw Hive Exception
+     */
+    @Test
+    public void testRoulette() throws HiveException {
+        MapRouletteUDF fmp = new MapRouletteUDF();
+        fmp.initialize(new ObjectInspector[] 
{ObjectInspectorFactory.getStandardMapObjectInspector(
+            PrimitiveObjectInspectorFactory.javaStringObjectInspector,
+            PrimitiveObjectInspectorFactory.javaDoubleObjectInspector)});
+        Map<Object, Integer> solve = new HashMap<>();
+        solve.put("Tom", 0);
+        solve.put("Jerry", 0);
+        solve.put("Amy", 0);
+        solve.put("Wong", 0);
+        solve.put("Zhao", 0);
+        int T = 1000000;
+        while (T-- > 0) {
+            Map<Object, Double> m = new HashMap<>();
+            m.put("Tom", null);
+            m.put("Jerry", 0.2);
+            m.put("Amy", 0.1);
+            m.put("Wong", 0.1);
+            m.put("Zhao", 0.5);
+            GenericUDF.DeferredObject[] arguments =
+                    new GenericUDF.DeferredObject[] {new 
GenericUDF.DeferredJavaObject(m)};
+            Object key = fmp.evaluate(arguments);
+            solve.put(key, solve.get(key) + 1);
+        }
+        List<Map.Entry<Object, Integer>> solveList = new 
ArrayList<>(solve.entrySet());
+        Collections.sort(solveList, new KvComparator());
+        Object highestSolve = solveList.get(solveList.size() - 1).getKey();
+        Assert.assertEquals(highestSolve.toString(), "Zhao");
+        Object secondarySolve = solveList.get(solveList.size() - 2).getKey();
+        Assert.assertEquals(secondarySolve.toString(), "Jerry");
 
 Review comment:
   oops `(0.2+0.1+0.1+0.5)/4=0.225`.

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