Multiple RPF Datasets and App Performance

Jeffrey_McNeal

My team is working on an application that ingests multiple RPF datasets of different granularity/detail.  When all these datasets are loaded all at once, the app slows way down when zooming in or out.  Any suggestions on how to alleviate this behavior?

My RPF ingest follows the pattern:

foreach file in dataset 
{
    Raster newRasterFile = new file;
    rasterLayer = new RasterLayer(newRasterFile);
    GeoMap?.OperationalLayers.Add(rasterLayer);
    await rasterLayer.LoadAsync();
}

 

Jeffrey_McNeal

Hello, I was able to get the below code working.   Unfortunately, when I load multiple maps with multiple map tiles my app's performance drop significantly to the point where I cannot zoom in and out (well, very slowly, anyway).  As I am looking at memory consumption, my app is upwards of 6.2 gigs with 2 RPF datasets loaded.  Any recommendations on fixing performance slowdown?

GroupLayer groupLayer = new();
groupLayer.Name = folderName;

int totalTilesProcessed = 0;

Busy = true;

foreach (string file in fileList)
{
Raster newRasterFile = new(file);
RasterLayer rasterLayer = new RasterLayer(newRasterFile);
groupLayer.Layers.Add(rasterLayer);
totalTilesProcessed++;
await Task.Delay(1);
}

//Hacky
Application.Current.Dispatcher.Invoke(() =>
{
TakRoverMap?.OperationalLayers.Add(groupLayer);
GroupLayerCollection.Add(groupLayer.Name);
});

// Wait for all of the layers in the group layer to load.
await Task.WhenAll(groupLayer.Layers.ToList().Select(m => m.LoadAsync()).ToList());

if (groupLayer.FullExtent != null && !HasZoomedIn)
{
Controller?.ZoomToExtent(groupLayer.FullExtent!);
}