issue_comments: 316949986
This data as json
| 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/1481#issuecomment-316949986 | https://api.github.com/repos/pydata/xarray/issues/1481 | 316949986 | MDEyOklzc3VlQ29tbWVudDMxNjk0OTk4Ng== | 29717790 | 2017-07-21T09:14:34Z | 2017-07-21T09:14:34Z | NONE | I ran "conda update dask", which upgraded me from 0.14.3 to 0.15.0. Short report: No this has not eliminated the problem. Long report: Today (Friday) I am on my home machine, which has only 6 GiB RAM. I confirmed earlier today with dask 0.14.3 that I can open and print the dataset with 25 files. And with 10 files IPython halts with a memory error reporting that 85% of the memory is being used. After the upgrade to 0.15.0, running the test script with 10 files, it exhausted all the RAM on my machine and locked it up within a few seconds. I will not be able to investigate this further until I get back on my work machine on Monday. |
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