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https://github.com/pydata/xarray/issues/585#issuecomment-226262120 https://api.github.com/repos/pydata/xarray/issues/585 226262120 MDEyOklzc3VlQ29tbWVudDIyNjI2MjEyMA== 1217238 2016-06-15T17:37:11Z 2016-06-15T17:37:11Z MEMBER

With the single machine version of dask, we need to run one block first to infer the appropriate metadata for constructing the combined dataset.

Potentially a better approach would be to optionally leverage dask.distributed, which has the ability to run computation at the same time as graph construction. map_blocks could then kick off a bunch of map tasks to execute in parallel, and only worry about reassembling the blocks in a reduce after the results have come in.

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