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1 row where author_association = "NONE", issue = 91184107 and user = 3101370 sorted by updated_at descending

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  • andrewcollette · 1 ✖

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  • segmentation fault with `open_mfdataset` · 1 ✖

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  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
118436430 https://github.com/pydata/xarray/issues/444#issuecomment-118436430 https://api.github.com/repos/pydata/xarray/issues/444 MDEyOklzc3VlQ29tbWVudDExODQzNjQzMA== andrewcollette 3101370 2015-07-03T23:02:52Z 2015-07-03T23:02:52Z NONE

@shoyer, there are basically two levels of thread safety for HDF5/h5py. First, the HDF5 library has an optional compile-time "threadsafe" build option that wraps all API access in a lock. This is all-or-nothing; I'm not aware of any per-file effects.

Second, h5py uses its own global lock on the Python side to serialize access, which is only disabled in MPI mode. For added protection, h5py also does not presently release the GIL around reads/writes.

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  segmentation fault with `open_mfdataset` 91184107

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