Closed evertrol closed 5 years ago
You have to restart Jupyter to stop the crawling. As long as cancelling #18 has not been implemented.
Could be good to query for the WMS layer(s) in a dataset only when inserting a new notebook cell, and raise an exception if no (appropriate) layer(s) could be found.
Switched to async crawler, measured http response time in devtools.
# datasets | time (seconds) | URL |
---|---|---|
1471 | 3.6 | https://www.esrl.noaa.gov/psd/thredds/catalog/Datasets/livneh/catalog.xml |
371 | 1.69 | https://www.esrl.noaa.gov/psd/thredds/catalog/Datasets/livneh/metvars/catalog.xml (subset of previous catalog) |
456 | 23 | https://thredds.daac.ornl.gov/thredds/catalog/ornldaac/1345/catalog.xml |
18 | 1.0 | https://data.ioos.us/gliders/thredds/catalog/deployments/aoml/catalog.xml |
9 | 0.2 | http://tds.maracoos.org/thredds/REALTIME-MODIS.xml No services recognized by siphon |
5 | 0.41 | http://www.neracoos.org/thredds/catalog/Tempests/Buoys/MA101/catalog.xml |
Those are indeed times of the order that I've seen when using an async/mp crawler stand-alone. But I assume this new table lists times without queries for WMS layers, as per the linked commit? All in all, these new timings make the extension much more usable. Probably can close this issue.
Yes, wms layers has been moved to notebook cell.
Catalog URLs that I have attempted (with some timing estimates):
Timings are obviously very non-linear, presumably because of the extra queries for the WMS layers and server response speed.