issue_comments: 263418422

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https://github.com/pydata/xarray/issues/463#issuecomment-263418422 https://api.github.com/repos/pydata/xarray/issues/463 263418422 MDEyOklzc3VlQ29tbWVudDI2MzQxODQyMg== 4295853 2016-11-28T22:42:55Z 2016-11-28T22:43:32Z CONTRIBUTOR

We (+ @milenaveneziani and @xylar) are running into this issue again. Ideally, this should be resolved and after following up with everyone on strategy I may have another look at this issue if it sounds straightforward to fix.

@shoyer and @mrocklin, if I understand correctly, incorporation of the LRU cache could help with this problem assuming time series were sliced into small chunks for access, correct? We would still run into problems, however, if there were say 10^6 files and we wanted to get a time-series spanning these files, right? If so, we may need a more robust solution than just the LRU cache. In the short term, PyReshaper may provide a temporary solution for us. cc @kmpaul to provide some perspective here too regarding use of https://github.com/NCAR/PyReshaper.

 
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