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/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?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,597657663