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/902#issuecomment-249435675,https://api.github.com/repos/pydata/xarray/issues/902,249435675,MDEyOklzc3VlQ29tbWVudDI0OTQzNTY3NQ==,1217238,2016-09-25T17:54:43Z,2016-09-25T17:54:43Z,MEMBER,"@crusaderky Let's just disable caching for dask.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,166287789
https://github.com/pydata/xarray/issues/902#issuecomment-239937280,https://api.github.com/repos/pydata/xarray/issues/902,239937280,MDEyOklzc3VlQ29tbWVudDIzOTkzNzI4MA==,1217238,2016-08-15T21:38:16Z,2016-08-15T21:38:16Z,MEMBER,"This is where you can find the core caching logic on Variable objects:
https://github.com/pydata/xarray/blob/56abba54ca4e89af570fd9cacc8f3ffcf5a5c4c7/xarray/core/variable.py#L257-L305

Here's where we define `load` on Dataset and DataArray:
https://github.com/pydata/xarray/blob/56abba54ca4e89af570fd9cacc8f3ffcf5a5c4c7/xarray/core/dataset.py#L305-L327
https://github.com/pydata/xarray/blob/56abba54ca4e89af570fd9cacc8f3ffcf5a5c4c7/xarray/core/dataarray.py#L523-L536

As I mentioned before, let's add `.compute()` to evaluate and return a new object, and use it for `.values` instead of caching. `.load()` can remain unchanged for when users actually want to cache data. And we can definitely disable automatically loading data in pickles.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,166287789
https://github.com/pydata/xarray/issues/902#issuecomment-233692572,https://api.github.com/repos/pydata/xarray/issues/902,233692572,MDEyOklzc3VlQ29tbWVudDIzMzY5MjU3Mg==,1217238,2016-07-19T16:40:39Z,2016-07-19T16:40:39Z,MEMBER,"I agree about loading data into memory automatically -- this behavior made sense _before_ we used dask in xarray, but now it doesn't really.

We actually already have a `.load()` method for explicitly loading data into memory, though it might make sense to add `.compute()` as an alias, possibly without modifying the original dataset inplace.

I'm a little less certain about how to handle pickling data, because anytime you open a file from disk using `open_dataset` it's not going to pickle. But on the other hand, it's also not hard to explicitly write `.load()` or `.compute()` before using pickle or invoking multiprocessing.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,166287789