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Hi Mike, I was going to close the inquiry on our side, but I figured that I would respond to one thing before doing so: re: > I see, all very interesting to know. For us here, we constantly have > bandwidth concerns so NOAAPort is always preferred over internet data > sources. Given that, we'd probably want to stick with those tiles for the > time being. And what we've done to speed up the reading of this data with > McIDAS is to remove the L2 data on an hourly basis. Once we're done > visualizing a set that comes in we're done with it, so deleting the data so > quickly is perfectly acceptable to us. What takes the longest has always > seemed to be IMGREMAP operations. I'm always keen on finding ways to speed > things up so this is all great to know, but NOAAPort is usually strongly > preferred around here. A couple of comments: - the SCMI ADDE servers are fast enough when dealing with a small number of files in the dataset being served, but, since they were written assuming that there was/is no useful information in the names of the files in the dataset, they have to open each file and read the information needed to produce a sorted list, etc For the 'current' sets we maintain for each of the NOAAPort products, the overhead of opening each file was very large, so serving the data causes a lot of system overhead. This is significant given that our data servers are all pretty heavily loaded, and the load continues to climb. - I can let you have the copy of goes-restitch.py in I made minor modifications to change the output name to be GOES-R mission standard compliant I am not finished with my modifications to this copy of goes-restitch.py, so I can't send it to you now. - the new servers should not have any measurable effect for how fast your IMGREMAPs run given that your datasets have few elements - you can continue to rely on your NOAAPort ingest and take advantage of the new server as soon as: - it is released - you change the names of the files you are saving - change/tweak your ADDE dataset definitions Given my own experience on lead.unidata.ucar.edu, the changes are quickly implemented and I have seen no side effects (yet). Cheers, Tom -- **************************************************************************** Unidata User Support UCAR Unidata Program (303) 497-8642 P.O. Box 3000 address@hidden Boulder, CO 80307 ---------------------------------------------------------------------------- Unidata HomePage http://www.unidata.ucar.edu **************************************************************************** Ticket Details =================== Ticket ID: FFB-510199 Department: Support McIDAS Priority: Normal Status: Closed =================== NOTE: All email exchanges with Unidata User Support are recorded in the Unidata inquiry tracking system and then made publicly available through the web. If you do not want to have your interactions made available in this way, you must let us know in each email you send to us.