PassthroughDatumCounterProcessor.java

/*
 * 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
 *
 *   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.streams.local.test.processors;

import org.apache.streams.core.StreamsDatum;
import org.apache.streams.core.StreamsProcessor;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.HashSet;
import java.util.LinkedList;
import java.util.List;
import java.util.Random;
import java.util.Set;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.atomic.AtomicLong;

/**
 *
 */
public class PassthroughDatumCounterProcessor implements StreamsProcessor {

  private final static Logger LOGGER = LoggerFactory.getLogger(PassthroughDatumCounterProcessor.class);

  public final static String STREAMS_ID = "PassthroughDatumCounterProcessor";

  /**
   * Set of all ids that have been claimed.  Ensures all instances are assigned unique ids
   */
  public static Set<Integer> CLAIMED_ID = new HashSet<Integer>();
  /**
   * Random instance to generate ids
   */
  public static final Random RAND = new Random();
  /**
   * Set of instance ids that received data. Usefully for testing parrallelization is actually working.
   */
  public final static Set<Integer> SEEN_DATA = new HashSet<Integer>();
  /**
   * The total count of data seen by a all instances of a processor.
   */
  public static final ConcurrentHashMap<String, AtomicLong> COUNTS = new ConcurrentHashMap<>();

  private int count = 0;
  private int id;
  private String procId;

  public PassthroughDatumCounterProcessor(String procId) {
    this.procId = procId;
  }

  @Override
  public String getId() {
    return STREAMS_ID;
  }

  @Override
  public List<StreamsDatum> process(StreamsDatum entry) {
    ++this.count;
    List<StreamsDatum> result = new LinkedList<StreamsDatum>();
    result.add(entry);
    synchronized (SEEN_DATA) {
      SEEN_DATA.add(this.id);
    }
    return result;
  }

  @Override
  public void prepare(Object configurationObject) {
    synchronized (CLAIMED_ID) {
      this.id = RAND.nextInt();
      while(!CLAIMED_ID.add(this.id)) {
        this.id = RAND.nextInt();
      }
    }
  }

  @Override
  public void cleanUp() {
    LOGGER.debug("Clean up {}", this.procId);
    synchronized (COUNTS) {
      AtomicLong count = COUNTS.get(this.procId);
      if(count == null) {
        COUNTS.put(this.procId, new AtomicLong(this.count));
      } else {
        count.addAndGet(this.count);
      }
    }
    LOGGER.debug("{}\t{}", this.procId, this.count);
  }

  public int getMessageCount() {
    return this.count;
  }
}