原文标题：WPF: Data Virtualization
原文链接：https://www.codeproject.com/Articles/34405/WPF-Data-Virtualization
原文作者：Paul McClean
这篇文章不错，本来借助谷歌翻译，站长想再人工检查一遍，发现里面专业术语挺多的，个人英语也太渣，直接原文照搬了，希望你的英文可以的。
以下为原文：
A collection class providing data virtualization with large data sets.
Download source code - 15.7 KB
Introduction
WPF provides some clever UI virtualization features for dealing efficiently with large collections, at least from a UI perspective. What isn’t provided is a generic method for achieving data virtualization. While several posts on internet forums discuss data virtualization, no one has (to my knowledge) published a solution. This article presents one such solution.
Background
UI Virtualization
When a WPF ItemsControl is bound to a large collection data source, with UI virtualization enabled, the control will only create visual containers for the items that are actually visible (plus a few above and below). This is typically only a small fraction of the entire collection. When the user scrolls, new visual containers are created as items become visible, and old containers are disposed when items are no longer visible. When container recycling is enabled, it will reuse visual containers instead of creating and disposing, avoiding the object instantiation and garbage collection overheads.
UI virtualization means that controls can be bound to large collections without incurring a large memory footprint due to visual containers. There is, however, a potentially large memory footprint due to the actual data objects in the collection.
Data Virtualization
Data virtualization is a term that means achieving virtualization for the actual data objects that are bound to the ItemsControl. Data virtualization is not provided by WPF. For relatively small collections of basic data objects, the memory consumption is not significant; however, for large collections, the memory consumption can become very significant. In addition, actually retrieving the data (e.g., from a database) and instantiating all the objects could be time consuming, particularly if a network operation is involved. For these reasons, it is desirable to use some sort of data virtualization mechanism to limit the amount of data objects that need to be retrieved and instantiated in memory.
Solution
Overview
This solution makes use of the fact that when an ItemsControl is bound to an IList implementation, rather than an IEnumerable implementation, it will not enumerate the entire list, and instead only accesses the items required for display. It uses the Count property to determine the size of the collection, presumably to set the scroll extents. It will then iterate through the onscreen items using the list indexer. Thus, it is possible to create an IList that can report to have a large number of items, and yet only actually retrieve the items when required.
IItemsProvider
In order to utilize this solution, the underlying data source must be able to provide the number of items in the collection, and be able to provide small chunks (or pages) of the entire collection. This requirement is encapsulated in the IItemsProvider interface.
/// <summary>
/// Represents a provider of collection details.
/// </summary>
/// <typeparam name="T">The type of items in the collection.</typeparam>
public interface IItemsProvider<T>
{
/// <summary>
/// Fetches the total number of items available.
/// </summary>
/// <returns></returns>
int FetchCount();
/// <summary>
/// Fetches a range of items.
/// </summary>
/// <param name="startIndex">The start index.</param>
/// <param name="count">The number of items to fetch.</param>
/// <returns></returns>
IList<T> FetchRange(int startIndex, int count);
}
If the underlying data source is a database query, it is relatively simple to implement the IItemsProvider interface using the COUNT() aggregate function, and the OFFSET and LIMIT expressions, provided by most database vendors.
VirtualizingCollection
This is the IList implementation that performs the data virtualization. The VirtualizingCollection(T) divides the entire collection space into a number of pages. Pages are then loaded into memory as required, and released when no longer required.
The interesting parts are discussed below. For all the details, please refer to the attached source code project.
The first aspect of the IList implementation is the implementation of the Count property. This is used to by the ItemsControl to gauge the size of the collection and render the scrollbar appropriately.
private int _count = -1;
public virtual int Count
{
get
{
if (_count == -1)
{
LoadCount();
}
return _count;
}
protected set
{
_count = value;
}
}
protected virtual void LoadCount()
{
Count = FetchCount();
}
protected int FetchCount()
{
return ItemsProvider.FetchCount();
}
The Count property is implemented using the deferred or lazy loading pattern. It uses the special value of -1 to indicate that it has not loaded. The first time it is accessed, it will load the actual count from the ItemsProvider.
The other important aspect of the IList interface is the indexer implementation.
public T this[int index]
{
get
{
// determine which page and offset within page
int pageIndex = index / PageSize;
int pageOffset = index % PageSize;
// request primary page
RequestPage(pageIndex);
// if accessing upper 50% then request next page
if ( pageOffset > PageSize/2 && pageIndex < Count / PageSize)
RequestPage(pageIndex + 1);
// if accessing lower 50% then request prev page
if (pageOffset < PageSize/2 && pageIndex > 0)
RequestPage(pageIndex - 1);
// remove stale pages
CleanUpPages();
// defensive check in case of async load
if (_pages[pageIndex] == null)
return default(T);
// return requested item
return _pages[pageIndex][pageOffset];
}
set { throw new NotSupportedException(); }
}
The indexer performs the clever bit of the solution. First, it must determine which page the requested item is in (pageIndex), and its offset (pageOffset) within that page. It then calls the RequestPage() method for the required page.
The additional step is then to load the next page or the previous page based upon the pageOffset. This is based upon the assumption that if the user is viewing page 0, there is a good chance they will scroll down to view page 1. Fetching it earlier results in no gap in the display.
CleanUpPages() is then called to clean up (or unload) any pages that are no longer in use.
Finally, a defensive check is in place in case the page is not yet available, which is necessary if RequestPage does not operate synchronously as in the case of the derived class AsyncVirtualizingCollection<T>.
// ...
private readonly Dictionary<int, IList<T>> _pages =
new Dictionary<int, IList<T>>();
private readonly Dictionary<int, DateTime> _pageTouchTimes =
new Dictionary<int, DateTime>();
protected virtual void RequestPage(int pageIndex)
{
if (!_pages.ContainsKey(pageIndex))
{
_pages.Add(pageIndex, null);
_pageTouchTimes.Add(pageIndex, DateTime.Now);
LoadPage(pageIndex);
}
else
{
_pageTouchTimes[pageIndex] = DateTime.Now;
}
}
protected virtual void PopulatePage(int pageIndex, IList<T> page)
{
if (_pages.ContainsKey(pageIndex))
_pages[pageIndex] = page;
}
public void CleanUpPages()
{
List<int> keys = new List<int>(_pageTouchTimes.Keys);
foreach (int key in keys)
{
// page 0 is a special case, since the WPF ItemsControl
// accesses the first item frequently
if ( key != 0 && (DateTime.Now -
_pageTouchTimes[key]).TotalMilliseconds > PageTimeout )
{
_pages.Remove(key);
_pageTouchTimes.Remove(key);
}
}
}
The pages are stored in a Dictionary, where the page index is used as the key. An additional Dictionary is used to store touch times. Touch times record the time each page was last accessed. This is used by the CleanUpPages() method to remove pages that have not been accessed for a considerable amount of time.
protected virtual void LoadPage(int pageIndex)
{
PopulatePage(pageIndex, FetchPage(pageIndex));
}
protected IList<T> FetchPage(int pageIndex)
{
return ItemsProvider.FetchRange(pageIndex*PageSize, PageSize);
}
To complete the solution, FetchPage() performs the fetch from the ItemsProvider, and the LoadPage() method does the work of getting the page call the PopulatePage method to store it in the Dictionary.
It may seem that there are a few too many inconsequential methods, but they have been designed in that way for a reason. Each method performs exactly one task. This helps to keep the code readable, and also makes it easier to extend or modify functionality in derived classes, as will be observed below.
The VirtualizingCollection<T> class achieves the primary objective to implement data virtualization. Unfortunately, when in use, this class has one severe drawback: the data fetch methods are all executed synchronously. This means they will be executed by the UI thread, resulting, potentially, in a sluggish application.
AsyncVirtualizingCollection
The AsyncVirtualizingCollection<T> class is derived from VirtualizingCollection<T>, and overrides the Load methods in order to perform the data loading asynchronously.
The key behind an asynchronous data source in WPF is that it must then notify the UI via data binding when the data has been fetched. In a regular object, this is usually achieved with the INotifyPropertyChanged interface. For a collection implementation, however, it is necessary to use its close relative, INotifyCollectionChanged. This is the interface used by ObservableCollection<T>.
public event NotifyCollectionChangedEventHandler CollectionChanged;
protected virtual void OnCollectionChanged(NotifyCollectionChangedEventArgs e)
{
NotifyCollectionChangedEventHandler h = CollectionChanged;
if (h != null)
h(this, e);
}
private void FireCollectionReset()
{
NotifyCollectionChangedEventArgs e =
new NotifyCollectionChangedEventArgs(NotifyCollectionChangedAction.Reset);
OnCollectionChanged(e);
}
public event PropertyChangedEventHandler PropertyChanged;
protected virtual void OnPropertyChanged(PropertyChangedEventArgs e)
{
PropertyChangedEventHandler h = PropertyChanged;
if (h != null)
h(this, e);
}
private void FirePropertyChanged(string propertyName)
{
PropertyChangedEventArgs e = new PropertyChangedEventArgs(propertyName);
OnPropertyChanged(e);
}
The AsyncVirtualizingCollection<T> implements both INotifyCollectionChanged and INotifyPropertyChanged, providing maximum data binding flexibility. There is nothing really of note in this implementation.
protected override void LoadCount()
{
Count = 0;
IsLoading = true;
ThreadPool.QueueUserWorkItem(LoadCountWork);
}
private void LoadCountWork(object args)
{
int count = FetchCount();
SynchronizationContext.Send(LoadCountCompleted, count);
}
private void LoadCountCompleted(object args)
{
Count = (int)args;
IsLoading = false;
FireCollectionReset();
}
In the overridden LoadCount() method, the fetch is invoked asynchronously via the ThreadPool. Once completed, the new Count is set, and the FireCollectionReset() method is called to update the UI via the INotifyCollectionChanged interface. Note that the LoadCountCompleted method is invoked on the UI thread again, by using the SynchronizationContext. This SynchronizationContext property is set in the constructor, with the assumption that the collection instance will be created on the UI thread.
protected override void LoadPage(int index)
{
IsLoading = true;
ThreadPool.QueueUserWorkItem(LoadPageWork, index);
}
private void LoadPageWork(object args)
{
int pageIndex = (int)args;
IList<T> page = FetchPage(pageIndex);
SynchronizationContext.Send(LoadPageCompleted, new object[]{ pageIndex, page });
}
private void LoadPageCompleted(object args)
{
int pageIndex = (int)((object[]) args)[0];
IList<T> page = (IList<T>)((object[])args)[1];
PopulatePage(pageIndex, page);
IsLoading = false;
FireCollectionReset();
}
The asynchronous load of the page data follows the same convention, and again the FireCollectionReset() method is used to update the UI.
Note also the IsLoading property. This is a simple flag, which can be used to indicate to the UI that the collection is loading. When the IsLoading property is changed, the FirePropertyChanged() method is called to update the UI via the INotifyPropertyChanged mechanism.
public bool IsLoading
{
get
{
return _isLoading;
}
set
{
if ( value != _isLoading )
{
_isLoading = value;
FirePropertyChanged("IsLoading");
}
}
}
Demo Project
In order to demonstrate this solution, I have created a simple demo project (included in the attached source code project).
Firstly, an implementation of IItemsProvider was created, which provides dummy data with a thread sleep used to simulate delays in fetching data due to network or disk activity.
public class DemoCustomerProvider : IItemsProvider<Customer>
{
private readonly int _count;
private readonly int _fetchDelay;
public DemoCustomerProvider(int count, int fetchDelay)
{
_count = count;
_fetchDelay = fetchDelay;
}
public int FetchCount()
{
Thread.Sleep(_fetchDelay);
return _count;
}
public IList<Customer> FetchRange(int startIndex, int count)
{
Thread.Sleep(_fetchDelay);
List<Customer> list = new List<Customer>();
for( int i=startIndex; i<startIndex+count; i++ )
{
Customer customer = new Customer {Id = i+1, Name = "Customer " + (i+1)};
list.Add(customer);
}
return list;
}
}
The ubiquitous Customer object is used as the items in the collection.
A simple WPF window with a ListView was created to allow the user to experiment the different list implementations.
<Window x:Class="DataVirtualization.DemoWindow"
xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"
xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
Title="Data Virtualization Demo - By Paul McClean" Height="600" Width="600">
<Window.Resources>
<Style x:Key="lvStyle" TargetType="{x:Type ListView}">
<Setter Property="VirtualizingStackPanel.IsVirtualizing" Value="True"/>
<Setter Property="VirtualizingStackPanel.VirtualizationMode" Value="Recycling"/>
<Setter Property="ScrollViewer.IsDeferredScrollingEnabled" Value="True"/>
<Setter Property="ListView.ItemsSource" Value="{Binding}"/>
<Setter Property="ListView.View">
<Setter.Value>
<GridView>
<GridViewColumn Header="Id" Width="100">
<GridViewColumn.CellTemplate>
<DataTemplate>
<TextBlock Text="{Binding Id}"/>
</DataTemplate>
</GridViewColumn.CellTemplate>
</GridViewColumn>
<GridViewColumn Header="Name" Width="150">
<GridViewColumn.CellTemplate>
<DataTemplate>
<TextBlock Text="{Binding Name}"/>
</DataTemplate>
</GridViewColumn.CellTemplate>
</GridViewColumn>
</GridView>
</Setter.Value>
</Setter>
<Style.Triggers>
<DataTrigger Binding="{Binding IsLoading}" Value="True">
<Setter Property="ListView.Cursor" Value="Wait"/>
<Setter Property="ListView.Background" Value="LightGray"/>
</DataTrigger>
</Style.Triggers>
</Style>
</Window.Resources>
<Grid Margin="5">
<Grid.RowDefinitions>
<RowDefinition Height="Auto"/>
<RowDefinition Height="Auto"/>
<RowDefinition Height="Auto"/>
<RowDefinition Height="*"/>
</Grid.RowDefinitions>
<GroupBox Grid.Row="0" Header="ItemsProvider">
<StackPanel Orientation="Horizontal" Margin="0,2,0,0">
<TextBlock Text="Number of items:" Margin="5"
TextAlignment="Right" VerticalAlignment="Center"/>
<TextBox x:Name="tbNumItems" Margin="5"
Text="1000000" Width="60" VerticalAlignment="Center"/>
<TextBlock Text="Fetch Delay (ms):" Margin="5"
TextAlignment="Right" VerticalAlignment="Center"/>
<TextBox x:Name="tbFetchDelay" Margin="5"
Text="1000" Width="60" VerticalAlignment="Center"/>
</StackPanel>
</GroupBox>
<GroupBox Grid.Row="1" Header="Collection">
<StackPanel>
<StackPanel Orientation="Horizontal" Margin="0,2,0,0">
<TextBlock Text="Type:" Margin="5"
TextAlignment="Right" VerticalAlignment="Center"/>
<RadioButton x:Name="rbNormal" GroupName="rbGroup"
Margin="5" Content="List(T)" VerticalAlignment="Center"/>
<RadioButton x:Name="rbVirtualizing" GroupName="rbGroup"
Margin="5" Content="VirtualizingList(T)"
VerticalAlignment="Center"/>
<RadioButton x:Name="rbAsync" GroupName="rbGroup"
Margin="5" Content="AsyncVirtualizingList(T)"
IsChecked="True" VerticalAlignment="Center"/>
</StackPanel>
<StackPanel Orientation="Horizontal" Margin="0,2,0,0">
<TextBlock Text="Page size:" Margin="5"
TextAlignment="Right" VerticalAlignment="Center"/>
<TextBox x:Name="tbPageSize" Margin="5"
Text="100" Width="60" VerticalAlignment="Center"/>
<TextBlock Text="Page timeout (s):" Margin="5"
TextAlignment="Right" VerticalAlignment="Center"/>
<TextBox x:Name="tbPageTimeout" Margin="5"
Text="30" Width="60" VerticalAlignment="Center"/>
</StackPanel>
</StackPanel>
</GroupBox>
<StackPanel Orientation="Horizontal" Grid.Row="2">
<TextBlock Text="Memory Usage:" Margin="5"
VerticalAlignment="Center"/>
<TextBlock x:Name="tbMemory" Margin="5"
Width="80" VerticalAlignment="Center"/>
<Button Content="Refresh" Click="Button_Click"
Margin="5" Width="100" VerticalAlignment="Center"/>
<Rectangle Name="rectangle" Width="20" Height="20"
Fill="Blue" Margin="5" VerticalAlignment="Center">
<Rectangle.RenderTransform>
<RotateTransform Angle="0" CenterX="10" CenterY="10"/>
</Rectangle.RenderTransform>
<Rectangle.Triggers>
<EventTrigger RoutedEvent="Rectangle.Loaded">
<BeginStoryboard>
<Storyboard>
<DoubleAnimation Storyboard.TargetName="rectangle"
Storyboard.TargetProperty=
"(TextBlock.RenderTransform).(RotateTransform.Angle)"
From="0" To="360" Duration="0:0:5"
RepeatBehavior="Forever" />
</Storyboard>
</BeginStoryboard>
</EventTrigger>
</Rectangle.Triggers>
</Rectangle>
<TextBlock Margin="5" VerticalAlignment="Center"
FontStyle="Italic" Text="Pause in animation indicates UI thread stalled."/>
</StackPanel>
<ListView Grid.Row="3" Margin="5" Style="{DynamicResource lvStyle}"/>
</Grid>
</Window>
It is not necessary to go into details on the XAML. The only point to notice is the use of a custom ListView style to change the background and mouse cursor in response to the IsLoading property.
public partial class DemoWindow
{
/// <summary>
/// Initializes a new instance of the <see cref="DemoWindow"/> class.
/// </summary>
public DemoWindow()
{
InitializeComponent();
// use a timer to periodically update the memory usage
DispatcherTimer timer = new DispatcherTimer();
timer.Interval = new TimeSpan(0, 0, 1);
timer.Tick += timer_Tick;
timer.Start();
}
private void timer_Tick(object sender, EventArgs e)
{
tbMemory.Text = string.Format("{0:0.00} MB",
GC.GetTotalMemory(true)/1024.0/1024.0);
}
private void Button_Click(object sender, RoutedEventArgs e)
{
// create the demo items provider according to specified parameters
int numItems = int.Parse(tbNumItems.Text);
int fetchDelay = int.Parse(tbFetchDelay.Text);
DemoCustomerProvider customerProvider =
new DemoCustomerProvider(numItems, fetchDelay);
// create the collection according to specified parameters
int pageSize = int.Parse(tbPageSize.Text);
int pageTimeout = int.Parse(tbPageTimeout.Text);
if ( rbNormal.IsChecked.Value )
{
DataContext = new List<Customer>(customerProvider.FetchRange(0,
customerProvider.FetchCount()));
}
else if ( rbVirtualizing.IsChecked.Value )
{
DataContext = new VirtualizingCollection<Customer>(customerProvider, pageSize);
}
else if ( rbAsync.IsChecked.Value )
{
DataContext = new AsyncVirtualizingCollection<Customer>(customerProvider,
pageSize, pageTimeout*1000);
}
}
}
The window layout is pretty basic, but sufficient to demonstrate the solution.
The user can configure the number of items in the DemoCustomerProvider, and the simulated fetch delay.
The demo allows the user to compare a standard List(T) implementation to the VirtualizingCollection(T) and AsyncVirtualizingCollection(T) implementations. With the VirtualizingCollection(T) and AsyncVirtualizingCollection(T), the user can specify the page size and page timeout. These should be chosen to suit the characteristics of the control and the expected usage patterns.
The total (managed) memory usage is shown to offer comparisons in the memory footprint in the different IList implementations. The rotating square animation is used to indicate stalls on the UI thread. In a fully asynchronous solution, the animation should not stutter or pause.
Points of Interest
Incidentally, during the course of creating this solution, I discovered that the implementation must implement the IList interface (rather than the generic IList<T> interface). This is in contradiction to the current MSDN documentation (link). However, it is good practice to implement both the IList and IList<T> interfaces in any generic list implementation.
In practice, it would appear that the ItemsControl binding will also invoke the IndexOf() method. I can’t explain why this is required, and obviously, if a correct implementation were required, this solution would not be possible. Fortunately, it was found that simply returning –1 from the IndexOf() implementation was sufficient.
Known Issues and Future Extensions
- The above solution assumes that the source collection is readonly and does not change. Ideally, the solution should periodically (or on demand) re-load the Count and pages.
- The
IItemsProviderinterface could be extended to provide support for editing and sorting.
Final Remarks
This is my first article on CodeProject. Having lurked in the shadows for several years, it was finally time to come out into the open. I hope you find this article useful, and I would appreciate any comments or suggestions. If you find any errors, please accept my apologies and leave a comment; I will endeavor to fix any errors promptly.
Update
Since I first published this article, Bea Stollnitz has published a much more comprehensive and complete solution to data virtualization. I would refer readers to her solution.
I am greatly encouraged by all the positive comments this article received and would like to thank all those who read it, commented on it or voted. I hope people will continue to find this article and example code useful. As such I would like to remove the license on the source code and place it in the public domain. This means anyone may use it in any application, but without any warranty.
History
- 23 March 2009 - First submission.
- 28 March 2011 - Minor update and change of license
License
This article, along with any associated source code and files, is licensed under A Public Domain dedication
