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/978#issuecomment-250795790,https://api.github.com/repos/pydata/xarray/issues/978,250795790,MDEyOklzc3VlQ29tbWVudDI1MDc5NTc5MA==,6213168,2016-09-30T16:53:23Z,2016-09-30T16:53:23Z,MEMBER,"Rebaselined #1023 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,172290413
https://github.com/pydata/xarray/issues/978#issuecomment-250778472,https://api.github.com/repos/pydata/xarray/issues/978,250778472,MDEyOklzc3VlQ29tbWVudDI1MDc3ODQ3Mg==,6213168,2016-09-30T15:42:02Z,2016-09-30T15:42:02Z,MEMBER,"Two-liner for the win #1022 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,172290413
https://github.com/pydata/xarray/issues/978#issuecomment-250770375,https://api.github.com/repos/pydata/xarray/issues/978,250770375,MDEyOklzc3VlQ29tbWVudDI1MDc3MDM3NQ==,6213168,2016-09-30T15:12:04Z,2016-09-30T15:12:04Z,MEMBER,"looking into this now
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,172290413
https://github.com/pydata/xarray/issues/978#issuecomment-241231815,https://api.github.com/repos/pydata/xarray/issues/978,241231815,MDEyOklzc3VlQ29tbWVudDI0MTIzMTgxNQ==,1217238,2016-08-21T00:31:11Z,2016-08-21T00:31:11Z,MEMBER,"Oops -- let's add a fix for this and a regression test in `test_dask.py`.

We should fix `broadcast` as you mention, but also fix the `as_compatible_data` function to try coercing data via the `.data` attribute before using `.values`:
https://github.com/pydata/xarray/blob/584e70378c64e3fa861e5b4b4fd61d21639661c6/xarray/core/variable.py#L146

> After that however there's a new issue: whenever broadcast adds a dimension to an array, it creates it in a single chunk, as opposed to copying the chunking of the other arrays. This can easily call a host to go out of memory, and makes it harder to work with the arrays afterwards because chunks won't match.

This is sort of but not completely right. We use `dask.array.broadcast_to` to expand dimensions for dask arrays, which under the hood uses `numpy.broadcast_to` for each chunk. Broadcasting uses a view to insert a new dimensions with stride 0, so it doesn't require any additional storage costs for the original array. But any arrays resulting from arithmetic will indeed require more space.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,172290413