upstream issue: pydata/xarray#9802

More data, bigger the graph is, to the point where the graph is so huge (31GB at my maximum) that the .compute() fails, with a "error to serialize" error in msgpack.

Can dask just fail faster and tell the user that something is absolutely wrong if they've constructed this graph? Some way to find out what these large objects are would also be useful (layer names?).