sci-wms performance

[rsignell-usgs]

This request for a single tile from the SMAST NECOFS model takes about 2 minutes (!), when the ncWMS service is running on whoi.edu/gamone and accessing data via opendap from smast.umassd.edu:
http://gamone.whoi.edu/wms/datasets/necofs_massbay?service=WMS&request=GetMap&version=1.1.1&layers=u,v&styles=vectors_cubehelix&format=image/png&transparent=true&height=256&width=256&colorscalerange=0.0,1.0&numcontours=20&logscale=false&srs=EPSG:3857&vectorscale=20&bbox=-7856503.515263555,5087648.602661332,-7846719.575643052,5097432.5422818335
to produce this tile:

[kwilcox]

Are scalar layers quicker?

[kwilcox]

They are: http://gamone.whoi.edu/wms/datasets/necofs_massbay?service=WMS&request=GetMap&version=1.1.1&layers=temp&styles=&format=image/png&transparent=true&height=256&width=256&colorscalerange=0.0,1.0&numcontours=20&logscale=false&srs=EPSG:3857&vectorscale=20&bbox=-7856503.515263555,5087648.602661332,-7846719.575643052,5097432.5422818335

[rsignell-usgs]

Wow, that's like 1 second or less, right?
Why the huge difference?

[kwilcox]

Filledcontours does not draw every cell... the vector request is actually drawing every cell's vectors that is in view. It's also processing 2x the data, but I'm assuming the slowdown is the matplotlib drawing. A small zoomed in area should be quick.