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1976752481 PR_kwDOAMm_X85ekPdj 8412 Minimize duplication in `map_blocks` task graph dcherian 2448579 closed 0     7 2023-11-03T18:30:02Z 2024-01-03T04:10:17Z 2024-01-03T04:10:15Z MEMBER   0 pydata/xarray/pulls/8412

Builds on #8560

  • [x] Closes #8409
  • [x] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst

cc @max-sixty

``` print(len(cloudpickle.dumps(da.chunk(lat=1, lon=1).map_blocks(lambda x: x))))

779354739 -> 47699827

print(len(cloudpickle.dumps(da.chunk(lat=1, lon=1).drop_vars(da.indexes).map_blocks(lambda x: x))))

15981508

```

This is a quick attempt. I think we can generalize this to minimize duplication.

The downside is that the graphs are not totally embarrassingly parallel any more. This PR:

vs main: 

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     xarray 13221727 pull
1975400777 PR_kwDOAMm_X85efqSl 8408 Generalize explicit_indexing_adapter dcherian 2448579 open 0     0 2023-11-03T03:29:40Z 2023-11-03T03:53:25Z   MEMBER   1 pydata/xarray/pulls/8408

Use as_indexable instead of NumpyIndexingAdapter

 
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     xarray 13221727 pull

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