/**
 * Logback: the reliable, generic, fast and flexible logging framework.
 * Copyright (C) 1999-2013, QOS.ch. All rights reserved.
 *
 * This program and the accompanying materials are dual-licensed under
 * either the terms of the Eclipse Public License v1.0 as published by
 * the Eclipse Foundation
 *
 *   or (per the licensee's choosing)
 *
 * under the terms of the GNU Lesser General Public License version 2.1
 * as published by the Free Software Foundation.
 */
package ch.qos.logback.classic;


import ch.qos.logback.classic.corpus.CorpusModel;
import ch.qos.logback.core.contention.*;
import org.junit.Before;
import org.junit.Ignore;
import org.junit.Test;

import static org.junit.Assert.fail;

public class LoggerContextPerfTest {

  static int THREAD_COUNT = 10000;
  int totalTestDuration = 4000;

  LoggerContext loggerContext = new LoggerContext();

  ThreadedThroughputCalculator harness = new ThreadedThroughputCalculator(totalTestDuration);
  RunnableWithCounterAndDone[] runnableArray = buildRunnableArray();

  CorpusModel corpusMaker;

  @Before
  public void setUp() throws Exception {
  }

  private RunnableWithCounterAndDone[] buildRunnableArray() {
    RunnableWithCounterAndDone[] runnableArray = new  RunnableWithCounterAndDone[THREAD_COUNT];
    for(int i = 0; i < THREAD_COUNT; i++) {
      runnableArray[i] = new GetLoggerRunnable();
    }
    return runnableArray;
  }

  // Results computed on a Intel i7
  // 1 thread
  // 13'107 ops per milli using Hashtable for LoggerContext.loggerCache
  // 15'258 ops per milli using ConcurrentHashMap for LoggerContext.loggerCache

  // 10 threads
  //  8'468 ops per milli using Hashtable for LoggerContext.loggerCache
  // 58'945 ops per milli using ConcurrentHashMap for LoggerContext.loggerCache

  // 100 threads
  //  8'863 ops per milli using Hashtable for LoggerContext.loggerCache
  // 34'810 ops per milli using ConcurrentHashMap for LoggerContext.loggerCache

  // 1'000 threads
  //  8'188 ops per milli using Hashtable for LoggerContext.loggerCache
  // 24'012 ops per milli using ConcurrentHashMap for LoggerContext.loggerCache

  // 10'000 threads
  // 7'595 ops per milli using Hashtable for LoggerContext.loggerCache
  // 8'989 ops per milli using ConcurrentHashMap for LoggerContext.loggerCache

  @Test
  public void computeResults() throws InterruptedException {
    harness.execute(runnableArray);
    harness.printThroughput("getLogger performance: ", true);
  }

  private class GetLoggerRunnable extends RunnableWithCounterAndDone {

    final int burstLength = 3;
    public void run() {
      while (!isDone()) {
        long i = counter % burstLength;

        loggerContext.getLogger("a"+i);
        counter++;
        if(i == 0) {
          Thread.yield();
        }
      }
    }
  }
}
