content: /**
   * 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 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);
      }
  }
  