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https://github.com/pydata/xarray/issues/3961#issuecomment-623402330 https://api.github.com/repos/pydata/xarray/issues/3961 623402330 MDEyOklzc3VlQ29tbWVudDYyMzQwMjMzMA== 6883049 2020-05-04T11:12:25Z 2020-05-06T08:47:46Z CONTRIBUTOR

Thanks @jessicaaustin. We have run into the same issue. Setting lock=False works, but as hdf5 is not thread safe, we are not sure if this could have unexpected consequences.

Edit: Actually, I have checked, and the hdf5 version we are using (from conda-forge) is build in thread safe mode. This means that concurrent reads are possible, and that the lock=False in open_mfdataset would be safe. In fact it is more efficient as it does not make sense to handle locks if hdf5 is already thread safe. Am I right?

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