How to use

ThreadedFeatureInputStream

in

org.deegree.feature.stream

@Override
public int count() {
  int i = 0;
  for ( @SuppressWarnings("unused")
  Feature f : this ) {
    i++;
  }
  close();
  return i;
}

@Override
public void render( RenderContext context ) throws InterruptedException {
  FeatureInputStream features = null;
  try {
    // TODO Should this always be done on this level? What about queueSize value?
    features = featureStore.query( queries.toArray( new Query[queries.size()] ) );
    features = new ThreadedFeatureInputStream( features, 100 );
    FeatureStreamRenderer renderer = new FeatureStreamRenderer( context, maxFeatures, evaluator );
    renderer.renderFeatureStream( features, style );
  } catch ( InterruptedException e ) {
    throw e;
  } catch ( FilterEvaluationException e ) {
    LOG.warn( "A filter could not be evaluated. The error was '{}'.", e.getLocalizedMessage() );
    LOG.trace( "Stack trace:", e );
  } catch ( Throwable e ) {
    LOG.warn( "Data could not be fetched from the feature store. The error was '{}'.", e.getLocalizedMessage() );
    LOG.trace( "Stack trace:", e );
  } finally {
    if ( features != null ) {
      features.close();
    }
  }
}

  ThreadedFeatureInputStream.shutdown();
} catch ( Throwable e ) {