Package com.tdunning.plume.local.lazy

Source Code of com.tdunning.plume.local.lazy.MapRedWordCountTest$WordCountWorkflow

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* 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.
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package com.tdunning.plume.local.lazy;

import static com.tdunning.plume.Plume.integers;
import static com.tdunning.plume.Plume.strings;
import static com.tdunning.plume.Plume.tableOf;
import static org.junit.Assert.assertEquals;

import java.io.File;
import java.io.IOException;
import java.util.List;
import java.util.Map;
import java.util.StringTokenizer;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.junit.Test;

import com.google.common.base.Charsets;
import com.google.common.collect.Maps;
import com.google.common.io.Files;
import com.google.common.io.Resources;
import com.tdunning.plume.CombinerFn;
import com.tdunning.plume.DoFn;
import com.tdunning.plume.EmitFn;
import com.tdunning.plume.PCollection;
import com.tdunning.plume.Pair;
import com.tdunning.plume.types.PCollectionType;
import com.tdunning.plume.types.StringType;

import static com.tdunning.plume.Plume.*;

/**
* This test asserts that {@link MapRedExecutor} behaves well under the famous WordCount test
*/
public class MapRedWordCountTest extends BaseTestClass {

  /**
   * The WordCount Workflow
   */
  @SuppressWarnings({ "unchecked", "rawtypes" })
  public static class WordCountWorkflow extends PlumeWorkflow {
   
    public WordCountWorkflow() {
    }
   
    @Override
    public void build() {
      init();
     
      LazyPlume plume = new LazyPlume();
      PCollection input;
      try {
        // Read input
        input = plume.readFile("/tmp/input-wordcount.txt", collectionOf(strings()));
        // Add it as workflow's input
        addInput(input);
      } catch (IOException e) {
        throw new RuntimeException();
      }
     
      // Define the wordcount map
      DoFn wordCountMap = new DoFn() {
        @Override
        public void process(Object v, EmitFn emitter) {
          StringTokenizer itr = new StringTokenizer(v.toString());
          while (itr.hasMoreTokens()) {
            emitter.emit(Pair.create(new Text(itr.nextToken()), new IntWritable(1)));
          }
        }
      };

      // Define the wordcount output
      PCollection output = input.map(wordCountMap, tableOf(strings(), integers()))
        .groupByKey()
        .combine(countCombiner)
        .map(countReduceToText, tableOf(strings(), strings()));
     
      // Add wordcount's output as workflow's output
      addOutput(output);
    }
  }
 
  /**
   * The wordcount example to test with local hadoop
   *
   * @throws IOException
   * @throws ClassNotFoundException
   * @throws InterruptedException
   */
  @Test
  public void testWordCount() throws IOException, InterruptedException, ClassNotFoundException {
    String inputPath = "/tmp/input-wordcount.txt";
    String outputPath = "/tmp/output-plume-wordcount";
    // Prepare input for test
    FileSystem system = FileSystem.getLocal(new Configuration());
    system.copyFromLocalFile(new Path(Resources.getResource("simple-text.txt").getPath()), new Path(inputPath));
    // Prepare output for test
    system.delete(new Path(outputPath), true);
    // Prepare workflow
    WordCountWorkflow workFlow = new WordCountWorkflow();
    // Execute it
    MapRedExecutor executor = new MapRedExecutor();
    executor.execute(workFlow, outputPath);
   
    List<String> str = Files.readLines(new File(outputPath+"/1_1/1-r-00000"), Charsets.UTF_8);
   
    Map<String, String> m = Maps.newHashMap();
    for (String line: str) {
      m.put(line.split("\t")[0], line.split("\t")[1]); // not super-optimal, but less code
    }
    assertEquals(3+"", m.get("is"));
    assertEquals(3+"", m.get("some"));
    assertEquals(3+"", m.get("simple"));
    assertEquals(1+"", m.get("examples"));
    assertEquals(2+"", m.get("text"));
  }
}
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