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一連の画像をロードし、アプリケーションの存続期間中、それらをメモリに保持する必要がある WinForms アプリケーションがあります。

私が現在これを行う方法は、各画像をビットマップとしてロードすることですが、当然のことながら、それはメモリの負荷を消費しています.

画像をロードするためのよりメモリ効率の良い方法はありますか?

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2 に答える 2

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実際に何をしようとしているのかによっては、それらすべてを同時にメモリに入れる必要がない場合もあります。

これは、必要に応じてデータを遅延読み込みするために作成したジェネリック クラスです。IApplicationDataSession は、DB からデータをプルするために使用される単なるクラスであることに注意してください。ただし、これを好きなものに置き換えることができます。

namespace Foo.Applications.DataHelpers
{
  /// <summary>
  /// This delegate allows the calling class to define a method for converting from the data type
  /// that was queried to an alternate type.
  /// </summary>
  /// <typeparam name="S"></typeparam>
  /// <typeparam name="T"></typeparam>
  /// <param name="dataToConvert"></param>
  /// <returns></returns>
  public delegate S DataConverter<S, T>(T dataToConvert);

  /// <summary>
  /// Used for passing data to a new thread.
  /// </summary>
  internal class DataLoadRequest
  {
    public int Skip { get; private set; }
    public int Take { get; private set; }

    public DataLoadRequest(int skip, int take)
    {
      Skip = skip;
      Take = take;
    }
  }
  /// <summary>
  /// This class allows for lazy loading of an arbitrary range of data.  It also
  /// allows for a transform from its current type to another type based on a conversion
  /// delegate.
  /// </summary>
  /// <typeparam name="T">The entity type which should be queried.</typeparam>
  /// <typeparam name="S">The object which T is converted to using the converter.  If this is the same type
  /// as T, then the converter can be null. </typeparam>
  public class LazyDataLoader<S, T> where S : class
  {
    private S[] _cachedData;
    private readonly int _defaultChunkSize;
    private readonly Expression<Func<T, bool>> _whereClause;
    private readonly IApplicationDataSession _dataSession;


    private ManualResetEvent _donePreloadingDataEvent;

    private readonly DataConverter<S, T> _converter;

    private int? _totalRecords;

    public LazyDataLoader(Expression<Func<T, bool>> whereClause, IApplicationDataSession dataSession, DataConverter<S, T> converter = null, int defaultChunkSize = 30, int? totalRecords = null)
    {
      _defaultChunkSize = defaultChunkSize;
      _whereClause = whereClause;
      _dataSession = dataSession;

      _totalRecords = totalRecords;

      if (converter == null && typeof(S) != typeof(T))
      {
        throw new ArgumentException("if a converter is not given, then S must be the same type as T.");
      }

      _converter = converter ?? DefaultDataConverter;
    }

    /// <summary>
    /// The total number of items that exist either in memory or in the DB.
    /// </summary>
    /// <returns></returns>
    public int TotalItems()
    {
      return CachedData.Length;
    }

    /// <summary>
    /// Get a subset of the items.  
    /// </summary>
    /// <param name="index">the index from which to start</param>
    /// <param name="take">the number of items to pull out.</param>
    /// <returns></returns>
    public S[] GetRange(int index, int take)
    {
      //don't start preloading new data until the previous data has been preloaded.
      //TODO allow for preloading multiple ranges at the same time.
      if (_donePreloadingDataEvent != null)
      {
        _donePreloadingDataEvent.WaitOne();
      }

      if (index > TotalItems())
      {
        throw new ArgumentException(string.Format("Index of: {0} was greater than total items: {1}", index, TotalItems()));
      }

      if (take == 0)
      {
        return new S[0];
      }
      else if (take < 0)
      {
        throw new ArgumentException(string.Format("For index {0}, take had a value of {1}.", index, take));
      }

      // if we're at the end of the data set, don't pick a range that's out of bounds.
      var numberToTake = Math.Min(take, TotalItems() - index);
      var range = CachedData.ToList().GetRange(index, numberToTake);

      //if all values are already cached, return them
      var firstDefaultIndex = range.FindIndex(s => s == default(S));
      if (firstDefaultIndex == -1)
      {
        return range.ToArray();
      }

      LoadAsNeeded(range, index);


      return range.ToArray();
    }

    /// <summary>
    /// This can be called to prepare a range of data prior to usage.
    /// </summary>
    /// <param name="index"></param>
    /// <param name="take"></param>
    public void PreloadRangeAsync(int index, int take)
    {
      if (index >= TotalItems())
      {
        return;
      }

      //don't start preloading new data until the previous data has been preloaded.
      //TODO allow for preloading multiple ranges at the same time.
      if (_donePreloadingDataEvent != null)
      {
        _donePreloadingDataEvent.WaitOne();
      }

      // if we're at the end of the data set, don't pick a range that's out of bounds.
      var numberToTake = Math.Min(take, TotalItems() - index);
      var range = CachedData.ToList().GetRange(index, numberToTake);

      //if all values are already cached, return them
      var firstDefaultIndex = range.FindIndex(s => s == default(S));
      if (firstDefaultIndex == -1)
      {
        return;
      }

      _donePreloadingDataEvent = new ManualResetEvent(false);

      ThreadPool.QueueUserWorkItem(AsyncDataLoadingHandler, new DataLoadRequest(index, numberToTake));
    }

    /// <summary>
    /// The number of items currently in memory
    /// </summary>
    /// <returns></returns>
    public int TotalCachedItems()
    {
      return CachedData.Count(cd => cd != default(S));
    }

    private void AsyncDataLoadingHandler(object state)
    {
      try
      {
        var dataLoadRequest = (DataLoadRequest)state;
        var results = Load(dataLoadRequest.Skip, dataLoadRequest.Take);
        AddData(results, dataLoadRequest.Skip);
      }
      finally
      {
        _donePreloadingDataEvent.Set();
      }
    }

    private void AddData(T[] dataToAdd, int startingIndex)
    {
      if (dataToAdd.Length + startingIndex > _totalRecords)
      {
        throw new Exception("Error when loading new data into array.  The index would be out of bounds.");
      }

      lock (CachedData)
      {
        Convert(dataToAdd).CopyTo(CachedData, startingIndex);
      }
    }

    private T[] Load(int skip, int take)
    {
      var pageInfo = new PageInfo(skip, take);
      var queryData = new QueryData<T>(_whereClause, pageInfo: pageInfo, includeChildren: true);
      var results = _dataSession.Query(queryData);

      _totalRecords = _totalRecords ?? results.TotalRecords;

      return results.Results.ToArray();
    }

    private void LoadAsNeeded(List<S> range, int startingIndex)
    {
      var firstDefaultIndex = range.FindIndex(s => s == default(S));
      if (firstDefaultIndex == -1)
      {
        return;
      }

      var i = firstDefaultIndex;
      while (i < range.Count)
      {
        // continue looping through items until you hit a default
        if (range[i] == default(S))
        {
          var numSequentialDefaults = GetLengthOfSequentialDefaults(range.GetRange(i, range.Count - i));
          var newValues = Load(i + startingIndex, numSequentialDefaults);

          //loop through the new values and assign them where necessary
          var j = 0;
          while (j < newValues.Length)
          {
            var convertedValue = Convert(newValues[j]);
            range[j + i] = convertedValue;
            CachedData[startingIndex + j + i] = convertedValue;
            j++;
          }
          i += numSequentialDefaults;
        }
        else
        {
          i += range.TakeWhile(s => s != default(S)).Count();
        }
      }
    }

    private S[] CachedData
    {
      get
      {
        if (_cachedData == null)
        {
          // this is necessary so we can instantiate the cache with the correct size.
          var initialData = Load(0, _defaultChunkSize);

          _cachedData = new S[_totalRecords.Value];
          AddData(initialData, 0);
        }

        return _cachedData;
      }
    }

    private static int GetLengthOfSequentialDefaults(IEnumerable<S> range)
    {
      return range.TakeWhile(s => s == default(S)).Count();
    }

    private S[] Convert(T[] valuesToConvert)
    {
      return valuesToConvert.Select(Convert).ToArray();
    }

    private S Convert(T valueToConvert)
    {
      return _converter(valueToConvert);
    }

    /// <summary>
    /// This converter is used when conversion isn't actually necessary (S == T). It simply casts T to S.
    /// </summary>
    private static readonly DataConverter<S, T> DefaultDataConverter = dataToConvert => (S)(object)dataToConvert;
  }

}

ここには改善できることがいくつかあると確信しています。これはある日の午後に作ったものですが、これまでのところうまくいきました。最近使用されていないデータをアンロードする機能を追加することができます。

于 2012-09-13T11:39:34.153 に答える
1

画像の保存には LRU ベースのキャッシュを使用する必要がありますが、すべての画像を保存する必要はありません。まだロードされていないイメージが必要な場合は、アプリケーションでロードできます。

于 2012-09-13T11:39:59.703 に答える