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  • jhamman · 1 ✖

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  • Threadlocking in DataArray calculations for zarr data depending on where it's loaded from (S3 vs local) · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1017189009 https://github.com/pydata/xarray/issues/6033#issuecomment-1017189009 https://api.github.com/repos/pydata/xarray/issues/6033 IC_kwDOAMm_X848oRKR jhamman 2443309 2022-01-20T07:25:28Z 2022-01-20T19:59:22Z MEMBER

It is worth mentioning that, specifically when using Zarr with fsspec, you have multiple layers of caching available.

  1. You can ask fsspec to cache locally:

python path = 's3://hrrrzarr/sfc/20211124/20211124_00z_fcst.zarr/surface/PRES' ds = xr.open_zarr('simplecache::'+path) (more details on configuration: https://filesystem-spec.readthedocs.io/en/latest/features.html#caching-files-locally)

  1. You can ask Zarr to cache chunks as they are read:

python mapper = fsspec.get_mapper(path) store = LRUStoreCache(mapper, max_size=1e9) ds = xr.open_zarr(store)

(more details on configuration here: https://zarr.readthedocs.io/en/stable/api/storage.html#zarr.storage.LRUStoreCache)

  1. Configure a more complex mapper/cache using 3rd party mappers (i.e. Zict)

perhaps @martindurant has more to add here?

 
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   Threadlocking in DataArray calculations for zarr data depending on where it's loaded from (S3 vs local) 1064837571

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