html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1173#issuecomment-268705335,https://api.github.com/repos/pydata/xarray/issues/1173,268705335,MDEyOklzc3VlQ29tbWVudDI2ODcwNTMzNQ==,1217238,2016-12-22T02:51:29Z,2016-12-22T02:51:29Z,MEMBER,#1179 will make use of `SerializableLock()` for our default netCDF4/HDF5 lock.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,196541604
https://github.com/pydata/xarray/issues/1173#issuecomment-268105839,https://api.github.com/repos/pydata/xarray/issues/1173,268105839,MDEyOklzc3VlQ29tbWVudDI2ODEwNTgzOQ==,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.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,196541604
https://github.com/pydata/xarray/issues/1173#issuecomment-268103602,https://api.github.com/repos/pydata/xarray/issues/1173,268103602,MDEyOklzc3VlQ29tbWVudDI2ODEwMzYwMg==,1217238,2016-12-19T22:59:22Z,2016-12-19T22:59:22Z,MEMBER,"For (1), take a look at [save_mfdataset](http://xarray.pydata.org/en/stable/generated/xarray.save_mfdataset.html) for saving to multiple files.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,196541604