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  • shoyer · 3 ✖

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  • Some queries · 3 ✖

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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
268705335 https://github.com/pydata/xarray/issues/1173#issuecomment-268705335 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODcwNTMzNQ== shoyer 1217238 2016-12-22T02:51:29Z 2016-12-22T02:51:29Z MEMBER

1179 will make use of SerializableLock() for our default netCDF4/HDF5 lock.

 
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   Some queries 196541604
268105839 https://github.com/pydata/xarray/issues/1173#issuecomment-268105839 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODEwNTgzOQ== shoyer 1217238 2016-12-19T23:11:05Z 2016-12-19T23:11:05Z MEMBER

I don't know if anyone has tested writing netCDFs with dask.distributed yet. I suspect the only immediate issue would be errors from dask because threading.Lock() can't be pickled. We need to switch to using dask's SerializableLock() to make dask.distributed work smoothly.

 
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   Some queries 196541604
268103602 https://github.com/pydata/xarray/issues/1173#issuecomment-268103602 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODEwMzYwMg== shoyer 1217238 2016-12-19T22:59:22Z 2016-12-19T22:59:22Z MEMBER

For (1), take a look at save_mfdataset for saving to multiple files.

 
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   Some queries 196541604

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