/**
* 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,
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* See the License for the specific language governing permissions and
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package com.jstorm.example.unittests.performance;
import backtype.storm.Config;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.tuple.Fields;
import com.alipay.dw.jstorm.example.performance.test.FastWordCountTopology;
import com.jstorm.example.unittests.utils.JStormUnitTestRunner;
import org.junit.Test;
import java.util.HashMap;
import java.util.Map;
/**
* @author binyang.dby on 2016/7/11.
*
* @Test pass at 2016/7/19
*/
public class FastWordCountTest {
@Test
public void testFastWordCount()
{
int spout_Parallelism_hint = 1;
int split_Parallelism_hint = 1;
int count_Parallelism_hint = 2;
TopologyBuilder builder = new TopologyBuilder();
boolean isLocalShuffle = false;
builder.setSpout("spout", new FastWordCountTopology.FastRandomSentenceSpout(), spout_Parallelism_hint);
if (isLocalShuffle)
builder.setBolt("split", new FastWordCountTopology.SplitSentence(), split_Parallelism_hint).localFirstGrouping("spout");
else
builder.setBolt("split", new FastWordCountTopology.SplitSentence(), split_Parallelism_hint).shuffleGrouping("spout");
builder.setBolt("count", new FastWordCountTopology.WordCount(), count_Parallelism_hint).fieldsGrouping("split", new Fields("word"));
Map config = new HashMap();
config.put(Config.TOPOLOGY_NAME, "FastWordCountTest");
JStormUnitTestRunner.submitTopology(builder.createTopology(), config, 60, null);
}
}