- To: netcdf-java@xxxxxxxxxxxxxxxx
- Subject: Re: [netcdf-java] fastest way to determine feature type
- From: Don Murray <don.murray@xxxxxxxx>
- Date: Thu, 21 Jun 2012 09:13:19 -0600
Just as a followup, the attached program tests the speed of opening a
file using the method in FeatureScan vs. GridDataset.open. In my test,
the latter is actually faster by a few milliseconds. The real slowdown
is the initial os caching of the file (in this case a 3.3 GB file).
Once the file is in the OS cache, both methods are pretty quick.
Thanks to John (and Roland) for their help. Don On 6/20/12 8:14 PM, John Caron wrote:
On 6/19/2012 3:19 PM, Don Murray wrote:Hi- I have a bunch of netCDF files and I want to quickly determine whether they are grids, trajectories, or point features. For grids, I've been using GridDataset gds = GridDataset.open(path) and catch the exception if it's not a grid, but for a 3.3 GB file, that can take 2 minutes (or longer) to open and create the dataset if it is a grid. I was wondering if there's a quicker method of determining the feature type of a netCDF file. Thanks for your help. DonHi Don: The most convenient thing is to use ToolsUI / FeatureTypes / FeatureScan, and give it a file or directory. It will try to figure out the type and report on what it finds. The code is in ucar.nc2.ft.scan.FeatureScan.java, you can copy the parts you need. Its an ongoing process, i think im not doing it as well as it can be done. Send me reports on files it misidentifies. John _______________________________________________ netcdf-java mailing list netcdf-java@xxxxxxxxxxxxxxxx For list information or to unsubscribe, visit: http://www.unidata.ucar.edu/mailing_lists/
-- Don Murray NOAA/ESRL/PSD and CIRES 303-497-3596 http://www.esrl.noaa.gov/psd/people/don.murray/
import ucar.nc2.ft.scan.*;
import ucar.nc2.ft.*;
import ucar.nc2.dataset.NetcdfDataset;
import ucar.nc2.constants.FeatureType;
import ucar.nc2.dt.grid.*;
public class TestOpen {
public static void main(String[] args) throws Exception {
if (args.length == 0) {
System.err.println("Need to supply a filename");
System.exit(1);
}
String file = args[0];
long start = System.currentTimeMillis();
long end = start;
if (args.length == 1) {
NetcdfDataset ds = null;
ds = NetcdfDataset.openDataset(file);
end = System.currentTimeMillis();
System.out.println("dataset open took "+(end-start)+" ms");
start = end;
FeatureDataset featureDataset =
FeatureDatasetFactoryManager.wrap(null, ds, null, null);
end = System.currentTimeMillis();
System.out.println("feature determination took " + (end-start) + "
ms");
if (featureDataset != null) {
FeatureType featureType = featureDataset.getFeatureType();
if (featureType != null)
System.out.println("type: "+featureType.toString());
} else {
System.out.println("unknown type");
}
} else {
GridDataset gds = GridDataset.open(file);
end = System.currentTimeMillis();
System.out.println("griddataset open took "+(end-start)+" ms");
}
}
}
- Follow-Ups:
- Re: [netcdf-java] fastest way to determine feature type
- From: Tom Kunicki
- Re: [netcdf-java] fastest way to determine feature type
- References:
- [netcdf-java] fastest way to determine feature type
- From: Don Murray
- Re: [netcdf-java] fastest way to determine feature type
- From: John Caron
- [netcdf-java] fastest way to determine feature type