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  • sipposip · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
540477057 https://github.com/pydata/xarray/issues/3386#issuecomment-540477057 https://api.github.com/repos/pydata/xarray/issues/3386 MDEyOklzc3VlQ29tbWVudDU0MDQ3NzA1Nw== sipposip 42270910 2019-10-10T09:11:31Z 2019-10-10T09:11:31Z NONE

@dcherian a dump of a single file: ``` ncdump -hs era5_mean_sea_level_pressure_2002.nc netcdf era5_mean_sea_level_pressure_2002 { dimensions: longitude = 1440 ; latitude = 721 ; time = 8760 ; variables: float longitude(longitude) ; longitude:units = "degrees_east" ; longitude:long_name = "longitude" ; float latitude(latitude) ; latitude:units = "degrees_north" ; latitude:long_name = "latitude" ; int time(time) ; time:units = "hours since 1900-01-01 00:00:00.0" ; time:long_name = "time" ; time:calendar = "gregorian" ; short msl(time, latitude, longitude) ; msl:scale_factor = 0.23025422306319 ; msl:add_offset = 99003.8223728885 ; msl:_FillValue = -32767s ; msl:missing_value = -32767s ; msl:units = "Pa" ; msl:long_name = "Mean sea level pressure" ; msl:standard_name = "air_pressure_at_mean_sea_level" ;

// global attributes: :Conventions = "CF-1.6" ; :history = "2019-10-03 16:05:54 GMT by grib_to_netcdf-2.10.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -o /cache/data5/adaptor.mars.internal-1570117777.9045198-23871-11-c8564b6f-4db5-48d8-beab-ba9fef91d4e8.nc /cache/tmp/c8564b6f-4db5-48d8-beab-ba9fef91d4e8-adaptor.mars.internal-1570117777.905033-23871-3-tmp.grib" ; :_Format = "64-bit offset" ; } ```

@shoyer : thanks for the tip, I think that it indeed simply adding more data-loading threads is the best solution.

 
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   add option to open_mfdataset for not using dask 504497403
539916279 https://github.com/pydata/xarray/issues/3386#issuecomment-539916279 https://api.github.com/repos/pydata/xarray/issues/3386 MDEyOklzc3VlQ29tbWVudDUzOTkxNjI3OQ== sipposip 42270910 2019-10-09T09:20:06Z 2019-10-09T09:20:06Z NONE

setting dask.config.set(scheduler="synchronous") globally indeed resolved the threading issues, thanks. However, loading and preprocessing a single timeslice of data is ~40 % slower with dask and open_mfdataset (with chunks={'time':1}) compared to netCDF4.MFDataset . Is this is expected/a known issue? If not, I can try to create a minimal reproducible example.

 
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   add option to open_mfdataset for not using dask 504497403

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