html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/2503#issuecomment-432743208,https://api.github.com/repos/pydata/xarray/issues/2503,432743208,MDEyOklzc3VlQ29tbWVudDQzMjc0MzIwOA==,1872600,2018-10-24T17:02:34Z,2018-10-24T17:02:34Z,NONE,"The version that is working in [@rabernat's esgf binder env](https://github.com/rabernat/pangeo_esgf_demo/blob/master/binder/environment.yml) is:
```
libnetcdf                 4.6.1               h9cd6fdc_11    conda-forge
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,373121666
https://github.com/pydata/xarray/issues/2503#issuecomment-432706068,https://api.github.com/repos/pydata/xarray/issues/2503,432706068,MDEyOklzc3VlQ29tbWVudDQzMjcwNjA2OA==,1872600,2018-10-24T15:27:33Z,2018-10-24T15:27:33Z,NONE,"I fired up my notebook on @rabernat's binder env and it worked fine also:
https://nbviewer.jupyter.org/gist/rsignell-usgs/aebdac44a1d773b99673cb132c2ef5eb","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,373121666
https://github.com/pydata/xarray/issues/2503#issuecomment-432416114,https://api.github.com/repos/pydata/xarray/issues/2503,432416114,MDEyOklzc3VlQ29tbWVudDQzMjQxNjExNA==,1872600,2018-10-23T20:55:42Z,2018-10-23T20:55:42Z,NONE,"@lesserwhirls , is this the issue you are referring to? https://github.com/Unidata/netcdf4-python/issues/836","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,373121666
https://github.com/pydata/xarray/issues/2503#issuecomment-432415704,https://api.github.com/repos/pydata/xarray/issues/2503,432415704,MDEyOklzc3VlQ29tbWVudDQzMjQxNTcwNA==,1872600,2018-10-23T20:54:24Z,2018-10-23T20:54:24Z,NONE,"@jhamman, doesn't this dask status plot tell us that multiple workers are connecting and getting data?
![2018-10-23_16-53-20](https://user-images.githubusercontent.com/1872600/47390007-4ac34980-d6e4-11e8-8f54-b8f7b6d0c25d.png)
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,373121666
https://github.com/pydata/xarray/issues/2503#issuecomment-432389980,https://api.github.com/repos/pydata/xarray/issues/2503,432389980,MDEyOklzc3VlQ29tbWVudDQzMjM4OTk4MA==,1872600,2018-10-23T19:39:09Z,2018-10-23T19:39:09Z,NONE,"Perhaps it's also worth mentioning that I don't see any errors on the THREDDS server side on either the tomcat catalina or thredds threddsServlet logs.   @lesserwhirls, any ideas?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,373121666
https://github.com/pydata/xarray/issues/2503#issuecomment-432374559,https://api.github.com/repos/pydata/xarray/issues/2503,432374559,MDEyOklzc3VlQ29tbWVudDQzMjM3NDU1OQ==,1872600,2018-10-23T18:53:28Z,2018-10-23T19:39:08Z,NONE,"FWIW, in my workflow there was nothing fundamentally wrong, meaning that the requests worked for a while, but eventually would die with the `NetCDF: Malformed or inaccessible DAP DDS` message. 

So for just a short time period (in this case 50 time steps, 2 chunks in time), it would usually work:
https://nbviewer.jupyter.org/gist/rsignell-usgs/1155c76ed3440858ced8132e4cd81df4
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,373121666
https://github.com/pydata/xarray/issues/2503#issuecomment-432367931,https://api.github.com/repos/pydata/xarray/issues/2503,432367931,MDEyOklzc3VlQ29tbWVudDQzMjM2NzkzMQ==,1872600,2018-10-23T18:34:48Z,2018-10-23T19:18:52Z,NONE,"I tried a similar workflow last week with an AWS kubernetes cluster with opendap endpoints and it also failed: https://nbviewer.jupyter.org/gist/rsignell-usgs/8583ea8f8b5e1c926b0409bd536095a9


I thought it was likely some intermittent problem that wasn't handled well.  In my case after a while I get:
```
distributed.worker - WARNING - Compute Failed Function: getter args: (ImplicitToExplicitIndexingAdapter(array=CopyOnWriteArray(array=LazilyOuterIndexedArray(array=_ElementwiseFunctionArray(LazilyOuterIndexedArray(array=<xarray.backends.netCDF4_.NetCDF4ArrayWrapper object at 0x7ff93cbbd828>, key=BasicIndexer((slice(None, None, None), slice(None, None, None), slice(None, None, None), slice(None, None, None)))), func=functools.partial(<function _apply_mask at 0x7ff945421378>, encoded_fill_values={1e+37}, decoded_fill_value=nan, dtype=dtype('float64')), dtype=dtype('float64')), key=BasicIndexer((slice(None, None, None), slice(None, None, None), slice(None, None, None), slice(None, None, None)))))), (slice(375, 400, None), slice(0, 7, None), slice(0, 670, None), slice(0, 300, None))) kwargs: {} Exception: OSError(-72, 'NetCDF: Malformed or inaccessible DAP DDS')
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,373121666