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Hi Rich: NcML Aggregations should only be used for small collections of files ( a few dozen?) , because they are created on-the-fly. FMRC does a better job of caching information so things go quicker. It handles the case of a single time dimension as a special case of a Forecast model collection. However, they too are limited in how much they will scale up, (< 100 ?) GRIB collection in v4.6.0 finally are almost ready for large scale collections (> 10K files). I will be improving the FMRC to use some of the techniques in GRIB collections, slated for version 4.6.1. Not yet sure how far that will get in scaling up, but I think we can do much better than now. So how many files and variables are in the HF Radar collection? John On Fri, Mar 13, 2015 at 2:50 PM, Signell, Richard <rsignell@xxxxxxxx> wrote: > Thredds community, > > The largest archive of HF Radar ocean surface current data is being > served by THREDDS at > http://hfrnet.ucsd.edu/thredds/catalog.html, but the erratic > performance of the joinExisting aggregations has made them difficult > to use. The folks at UCSD discovered that if they use FMRC > aggregations they work much better than the joinExisting, as borne out > by this Ipython Notebook, where we just request WMS services from the > two aggregations every minute for one hour: > > http://nbviewer.ipython.org/gist/rsignell-usgs/139d5481d74a1181e576 > > I don't understand this behavior. The joinExisting was designed for > this type of aggregation (simply joining netcdf files along the time > dimension) and the FMRC was instead designed for files with > overlapping forecast times. But there is no arguing with the results > of this test: FMRC is clearly working better. > > Anyone have insight into why we are getting these results? > > Are there settings that could be changed to improve the performance of > the joinExisting aggregation? > > Thanks, > Rich > > P.S. the existing aggregation catalog and threddsConfig.xml settings > are shown at the end of the notebook > > -- > Dr. Richard P. Signell (508) 457-2229 > USGS, 384 Woods Hole Rd. > Woods Hole, MA 02543-1598 > > _______________________________________________ > thredds mailing list > thredds@xxxxxxxxxxxxxxxx > For list information or to unsubscribe, visit: > http://www.unidata.ucar.edu/mailing_lists/ > >
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