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  • pwolfram · 3 ✖

issue 1

  • Disable lock=True in open_mfdataset when reading netCDF3 files · 3 ✖

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  • CONTRIBUTOR · 3 ✖
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210640770 https://github.com/pydata/xarray/issues/824#issuecomment-210640770 https://api.github.com/repos/pydata/xarray/issues/824 MDEyOklzc3VlQ29tbWVudDIxMDY0MDc3MA== pwolfram 4295853 2016-04-15T20:47:08Z 2016-04-15T20:47:08Z CONTRIBUTOR

We could also just filter the other way too which is probably cleaner:

python if lock is None and type(file) is netCDF3: lock=False

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  Disable lock=True in open_mfdataset when reading netCDF3 files 148757289
210640015 https://github.com/pydata/xarray/issues/824#issuecomment-210640015 https://api.github.com/repos/pydata/xarray/issues/824 MDEyOklzc3VlQ29tbWVudDIxMDY0MDAxNQ== pwolfram 4295853 2016-04-15T20:45:15Z 2016-04-15T20:45:15Z CONTRIBUTOR

@shoyer, makes sense. Are you thinking of something like the following pseudo code?

python if lock is None: if type(file) is netCDF4/HDF5: lock=True else: lock=False

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  Disable lock=True in open_mfdataset when reading netCDF3 files 148757289
210629679 https://github.com/pydata/xarray/issues/824#issuecomment-210629679 https://api.github.com/repos/pydata/xarray/issues/824 MDEyOklzc3VlQ29tbWVudDIxMDYyOTY3OQ== pwolfram 4295853 2016-04-15T20:24:31Z 2016-04-15T20:24:31Z CONTRIBUTOR

@shoyer, is this related to https://github.com/pydata/xarray/pull/800? If I recall correctly based on https://github.com/pydata/xarray/issues/793 there may be some issues with dask/multithreading without the lock. Am I missing something here?

It may make sense to just to set lock=False by default in https://github.com/pydata/xarray/blob/master/xarray/backends/api.py#L247 and if issues are encountered lock=True can be set by the user. Is this what you are thinking? If so, I can submit the super simple PR if that is helpful.

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  Disable lock=True in open_mfdataset when reading netCDF3 files 148757289

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