issue_comments: 364488847

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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/1854#issuecomment-364488847 https://api.github.com/repos/pydata/xarray/issues/1854 364488847 MDEyOklzc3VlQ29tbWVudDM2NDQ4ODg0Nw== 1797906 2018-02-09T16:45:51Z 2018-02-09T16:45:51Z NONE

That run was killed with the output

``bash ~/.pyenv/versions/3.4.6/lib/python3.4/site-packages/xarray/core/dtypes.py:23: FutureWarning: Conversion of the second argument of issubdtype fromfloattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type`. if np.issubdtype(dtype, float):

Process finished with exit code 137 (interrupted by signal 9: SIGKILL) ```

I wasn't watching the machine at the time but I assume that's it falling over to memory pressure.

Hi @jhamman, I'm using 0.10.0 of xarray with dask 0.16.1 and distrobuted 1.18.0. I realise that last one is out of date, I will update and retry.

I'm just using whatever the default scheduler is as that's pretty much all the code I've got written above.

I'm unsure how to do a performance check as the dataset can't even be fully loaded currently. I've tried different chuck sizes in the past hoping to stumble on a magic size, but have been unsuccessful with that.

 
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