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https://issues.apache.org/jira/browse/HIVEMALL-253?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16872093#comment-16872093
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ASF GitHub Bot commented on HIVEMALL-253:
-----------------------------------------
myui commented on 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`. Ignore the comment the above.
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> UDF map_roulette() created
> --------------------------
>
> Key: HIVEMALL-253
> URL: https://issues.apache.org/jira/browse/HIVEMALL-253
> Project: Hivemall
> Issue Type: New Feature
> Affects Versions: 0.6.0
> Reporter: Aaron Wong
> Assignee: Makoto Yui
> Priority: Major
>
> In data processing process, we usually encounter the problem that we have
> some selection and their probably(or weight), we should select one of them
> according to their probably(or weight).
> UDF map_roulette() is a implement of roulette. It can select a Key from a map
> according to key's weight value.
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