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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1588516592 PR_kwDOAMm_X85KLKUD 7540 added 'storage_transformers' to valid_encodings JMorado 7460993 open 0     4 2023-02-16T23:29:44Z 2023-03-26T20:02:40Z   FIRST_TIME_CONTRIBUTOR   0 pydata/xarray/pulls/7540

This PR adds "storage_transformers" to the valid encodings of a variable, thus allowing Zarr stores to be written using the new sharding storage transformers.

Example of usage:

```python import xarray as xr import numpy as np from zarr._storage.v3_storage_transformers import ShardingStorageTransformer from zarr._storage.v3 import DirectoryStoreV3

Dummy dataset

da = xr.DataArray(np.random.randn(1000, 1000), dims=("x", "y")) ds = xr.Dataset(dict(dummy_var=da)) ds = ds.chunk({"x": 100, "y": 100})

Sharded store and sharding transformer

store = DirectoryStoreV3("/home/user/dummy-sharded-store.zarr") transformer = ShardingStorageTransformer("indexed", chunks_per_shard=(5, 1))

Write sharded store

ds.to_zarr( store, encoding={"dummy_var": {"storage_transformers": [transformer]}}, zarr_version=3, ) ```

 
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     xarray 13221727 pull
1609910125 PR_kwDOAMm_X85LSqds 7585 todel JMorado 7460993 closed 0     0 2023-03-04T19:05:25Z 2023-03-04T19:45:22Z 2023-03-04T19:06:18Z FIRST_TIME_CONTRIBUTOR   0 pydata/xarray/pulls/7585   
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     xarray 13221727 pull

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