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With the hard-coded benchmark for alphasupport.dmn (apache#10)
* With the hard-coded benchmark for alphasupport.dmn * update 2019 09 30 not working
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...rc/main/java/org/kie/dmn/core/alphasupport/DMNDecisionTableAlphaSupportingDraftBench.java
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| /* | ||
| * Copyright 2019 Red Hat, Inc. and/or its affiliates. | ||
| * | ||
| * Licensed 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. | ||
| */ | ||
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| package org.kie.dmn.core.alphasupport; | ||
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| import java.math.BigDecimal; | ||
| import java.util.Random; | ||
| import java.util.UUID; | ||
| import java.util.concurrent.TimeUnit; | ||
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| import org.kie.api.KieServices; | ||
| import org.kie.api.runtime.KieContainer; | ||
| import org.kie.dmn.api.core.DMNContext; | ||
| import org.kie.dmn.api.core.DMNModel; | ||
| import org.kie.dmn.api.core.DMNResult; | ||
| import org.kie.dmn.api.core.DMNRuntime; | ||
| import org.kie.dmn.core.util.KieHelper; | ||
| import org.openjdk.jmh.annotations.Benchmark; | ||
| import org.openjdk.jmh.annotations.BenchmarkMode; | ||
| import org.openjdk.jmh.annotations.Level; | ||
| import org.openjdk.jmh.annotations.Measurement; | ||
| import org.openjdk.jmh.annotations.Mode; | ||
| import org.openjdk.jmh.annotations.OutputTimeUnit; | ||
| import org.openjdk.jmh.annotations.Scope; | ||
| import org.openjdk.jmh.annotations.Setup; | ||
| import org.openjdk.jmh.annotations.State; | ||
| import org.openjdk.jmh.annotations.Warmup; | ||
| import org.slf4j.Logger; | ||
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| @BenchmarkMode(Mode.SingleShotTime) | ||
| @State(Scope.Thread) | ||
| @Warmup(iterations = 100) | ||
| @Measurement(iterations = 50) | ||
| @OutputTimeUnit(TimeUnit.MILLISECONDS) | ||
| public class DMNDecisionTableAlphaSupportingDraftBench { | ||
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| private static final Logger LOG = org.slf4j.LoggerFactory.getLogger(DMNDecisionTableAlphaSupportingDraftBench.class); | ||
| private DMNRuntime runtime; | ||
| private DMNModel dmnModel; | ||
| private String existingCustomer; | ||
| private BigDecimal score; | ||
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| @Setup() | ||
| public void init() { | ||
| final KieServices ks = KieServices.Factory.get(); | ||
| final KieContainer kieContainer = KieHelper.getKieContainer(ks.newReleaseId("org.kie", "dmn-test-" + UUID.randomUUID(), "1.0"), | ||
| ks.getResources().newClassPathResource("alphasupport.dmn", DMNDecisionTableAlphaSupportingDraftBench.class)); | ||
| runtime = kieContainer.newKieSession().getKieRuntime(DMNRuntime.class); | ||
| dmnModel = runtime.getModel("http://www.trisotech.com/definitions/_c0cf6e20-0b43-43ce-9def-c759a5f86df2", "DMN Specification Chapter 11 Example Reduced"); | ||
| } | ||
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| @Setup(Level.Iteration) | ||
| public void initIterationValues() { | ||
| this.existingCustomer = existingCustomer(); | ||
| this.score = new BigDecimal(Double.valueOf((Math.random() * (140 - 70)) + 70).intValue()); | ||
| } | ||
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| public String existingCustomer() { | ||
| char[] alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz".toCharArray(); | ||
| int randomIdx = new Random().nextInt(alphabet.length + 2); | ||
| if (randomIdx < alphabet.length - 2) { | ||
| return String.valueOf(alphabet[randomIdx]); | ||
| } else { | ||
| return (randomIdx - 2) == 0 ? "true" : "false"; | ||
| } | ||
| } | ||
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| @Benchmark | ||
| public DMNResult doTest() { | ||
| final DMNContext context = runtime.newContext(); | ||
| context.set("Existing Customer", existingCustomer); | ||
| context.set("Application Risk Score", score); | ||
| DMNResult evaluateAll = runtime.evaluateAll(dmnModel, context); | ||
| LOG.debug("{}", evaluateAll); | ||
| return evaluateAll; | ||
| } | ||
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| public void testSimpleDecision() { | ||
| final DMNResult dmnResult = doTest(); | ||
| LOG.debug("{}", dmnResult); | ||
| } | ||
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| public static void main(String[] args) { | ||
| DMNDecisionTableAlphaSupportingDraftBench u = new DMNDecisionTableAlphaSupportingDraftBench(); | ||
| u.init(); | ||
| u.initIterationValues(); | ||
| u.doTest(); | ||
| } | ||
| } |
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| <?xml version="1.0" encoding="UTF-8"?> | ||
| <!-- | ||
| ~ Copyright 2016 Red Hat, Inc. and/or its affiliates. | ||
| ~ | ||
| ~ Licensed 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. | ||
| --> | ||
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| <configuration> | ||
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| <appender name="consoleAppender" class="ch.qos.logback.core.ConsoleAppender"> | ||
| <encoder> | ||
| <pattern>%date{HH:mm:ss.SSS} [%thread] %-5level %class{36}.%method:%line - %msg%n</pattern> | ||
| </encoder> | ||
| </appender> | ||
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| <logger name="org.kie" level="debug"/> | ||
| <logger name="org.drools.compiler.reteoo.compiled" level="debug"/> | ||
| <logger name="org.kie.dmn.core.compiler.execmodelbased" level="info"/> <!-- useful default when moving generic org.kie to <info --> | ||
| <logger name="org.kie.dmn.feel.codegen" level="info"/> <!-- useful default when moving generic org.kie to <info --> | ||
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| <root level="warn"> | ||
| <appender-ref ref="consoleAppender" /> | ||
| </root> | ||
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| </configuration> |
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