public static MrsImagePyramid flushRasterMapOpOutput(MapOp op, int argumentNumber)
throws IOException, JobFailedException, JobCancelledException {
if (!(op instanceof RasterMapOp)) {
throw new IllegalArgumentException(
"Expected raster input data for argument " + argumentNumber);
}
RasterMapOp rasterOp = (RasterMapOp) op;
// if our source is a file, then use it directly.
if (rasterOp.getOutputName() == null) {
throw new IllegalArgumentException(
"Invalid raster input data - no resource name " + "for argument " + argumentNumber);
}
return MrsImagePyramid.open(rasterOp.getOutputName(), op.getProviderProperties());
}
@Override
public void postBuild(Progress p, boolean buildPyramid)
throws IOException, JobFailedException, JobCancelledException {
if (buildPyramid) {
MrsImagePyramid pyramid = MrsImagePyramid.open(_outputName, getProviderProperties());
MrsImagePyramidMetadata metadata = pyramid.getMetadata();
Aggregator aggregator;
if (metadata.getClassification() == Classification.Continuous) {
aggregator = new MeanAggregator();
} else {
aggregator = new ModeAggregator();
}
BuildPyramidSpark.build(
_outputName, aggregator, createConfiguration(), getProviderProperties());
}
p.complete();
}
private void setupConfig(final Job job, final MrsImageDataProvider provider)
throws DataProviderException {
try {
Configuration conf = job.getConfiguration();
DataProviderFactory.saveProviderPropertiesToConfig(provider.getProviderProperties(), conf);
context.save(conf);
// Add the input pyramid metadata to the job configuration
for (final String input : context.getInputs()) {
MrsImagePyramid pyramid;
try {
pyramid = MrsImagePyramid.open(input, context.getProviderProperties());
} catch (IOException e) {
throw new DataProviderException("Failure opening input image pyramid: " + input, e);
}
final MrsImagePyramidMetadata metadata = pyramid.getMetadata();
log.debug(
"In HadoopUtils.setupMrsPyramidInputFormat, loading pyramid for "
+ input
+ " pyramid instance is "
+ pyramid
+ " metadata instance is "
+ metadata);
String image = metadata.getName(context.getZoomLevel());
// if we don't have this zoom level, use the max, then we'll decimate/subsample that one
if (image == null) {
log.error(
"Could not get image in setupMrsPyramidInputFormat at zoom level "
+ context.getZoomLevel()
+ " for "
+ pyramid);
image = metadata.getName(metadata.getMaxZoomLevel());
}
HadoopUtils.setMetadata(conf, metadata);
}
} catch (IOException e) {
throw new DataProviderException(
"Failure configuring map/reduce job " + context.toString(), e);
}
}