/** Sub-classes that override this method must call super.setupJob(job). */
@Override
public Configuration setupSparkJob(Configuration conf, MrsImageDataProvider provider)
throws DataProviderException {
try {
Configuration conf1 = provider.setupSparkJob(conf);
Job job = new Job(conf1);
setupConfig(job, provider);
return job.getConfiguration();
} catch (IOException e) {
throw new DataProviderException(
"Failure configuring map/reduce job " + context.toString(), e);
}
}
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);
}
}