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 org.apache.celeborn.tests.flink;
  
  import static org.junit.Assert.assertEquals;
  
  import java.io.IOException;
  
  import org.apache.flink.api.common.functions.FlatMapFunction;
  import org.apache.flink.api.common.functions.MapFunction;
  import org.apache.flink.api.connector.sink2.Sink;
  import org.apache.flink.api.connector.sink2.SinkWriter;
  import org.apache.flink.api.java.tuple.Tuple2;
  import org.apache.flink.streaming.api.datastream.DataStream;
  import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
  import org.apache.flink.util.Collector;
  
  public class WordCountHelper {
  
    private static final int NUM_WORDS = 20;
  
    private static final int WORD_COUNT = 200;
  
    public static void execute(StreamExecutionEnvironment env, int parallelism) {
      DataStream<Tuple2<String, Long>> words =
          env.fromSequence(0, NUM_WORDS)
              .broadcast()
              .map(new WordsMapper())
              .flatMap(new WordsFlatMapper(WORD_COUNT));
      words
          .keyBy(value -> value.f0)
          .sum(1)
          .map((MapFunction<Tuple2<String, Long>, Long>) wordCount -> wordCount.f1)
          .sinkTo(
              (Sink<Long>)
                  writerInitContext ->
                      new SinkWriter<Long>() {
                        @Override
                        public void write(Long value, Context context)
                            throws IOException, InterruptedException {
                          assertEquals(parallelism * WORD_COUNT, value.longValue());
                        }
  
                        @Override
                        public void flush(boolean endOfInput)
                            throws IOException, InterruptedException {}
  
                        @Override
                        public void close() throws Exception {}
                      });
    }
  
    private static class WordsMapper implements MapFunction<Long, String> {
  
      private static final long serialVersionUID = -896627105414186948L;
  
      private static final String WORD_SUFFIX_1K = getWordSuffix1k();
  
      private static String getWordSuffix1k() {
        StringBuilder builder = new StringBuilder();
        builder.append("-");
        for (int i = 0; i < 1024; ++i) {
          builder.append("0");
        }
        return builder.toString();
      }
  
      @Override
      public String map(Long value) {
        return "WORD-" + value + WORD_SUFFIX_1K;
      }
    }
  
    private static class WordsFlatMapper implements FlatMapFunction<String, Tuple2<String, Long>> {
  
      private static final long serialVersionUID = 7873046672795114433L;
  
      private final int wordsCount;
  
      public WordsFlatMapper(int wordsCount) {
        this.wordsCount = wordsCount;
      }
  
      @Override
      public void flatMap(String word, Collector<Tuple2<String, Long>> collector) {
        for (int i = 0; i < wordsCount; ++i) {
          collector.collect(new Tuple2<>(word, 1L));
        }
      }
    }
  }
  