Как правильно читать файлы zarr из minio? ⇐ Python
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Anonymous
Как правильно читать файлы zarr из minio?
I want to read a big zarr file from my minio(s3) server,however,after I changed three methods,they are all crashed:
import hydrodata.configs.config as conf # Method 1 # https://pastebin.com/vkM1M3VV zarr_path = await conf.FS.open_async('s3://datasets-origin/usgs_streamflow_nldas_hourly.zarr') zds = xr.open_dataset(zarr_path, engine='zarr') # Method 2 # https://pastebin.com/fKKECf3U zarr_path = conf.FS.get_mapper('s3://datasets-origin/usgs_streamflow_nldas_hourly.zarr') wrapped_store = zarr.storage.KVStore(zarr_path) zds = xr.open_zarr(wrapped_store) # Method 3 # AttributeError: __enter__ with conf.FS.open_async('s3://datasets-origin/usgs_streamflow_nldas_hourly.zarr') as zarr_path: zds = xr.open_dataset(zarr_path) And this is conf.FS:
FS = s3fs.S3FileSystem( client_kwargs={"endpoint_url": MINIO_PARAM["endpoint_url"]}, key=MINIO_PARAM["key"], secret=MINIO_PARAM["secret"], use_ssl=False, ) So how to solve their problem and let me get correct data?
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This is my crash report in Method2:
name = 'xarray.core.daskmanager' import_ = > ??? E ModuleNotFoundError: No module named 'xarray.core.daskmanager' However I have run pip install xarray[complete] and conda install -c conda-forge xarray dask netCDF4 bottleneck before,so where's the problem? This is my pip list: https://pastebin.com/BUbcNqtT
Источник: https://stackoverflow.com/questions/780 ... from-minio
I want to read a big zarr file from my minio(s3) server,however,after I changed three methods,they are all crashed:
import hydrodata.configs.config as conf # Method 1 # https://pastebin.com/vkM1M3VV zarr_path = await conf.FS.open_async('s3://datasets-origin/usgs_streamflow_nldas_hourly.zarr') zds = xr.open_dataset(zarr_path, engine='zarr') # Method 2 # https://pastebin.com/fKKECf3U zarr_path = conf.FS.get_mapper('s3://datasets-origin/usgs_streamflow_nldas_hourly.zarr') wrapped_store = zarr.storage.KVStore(zarr_path) zds = xr.open_zarr(wrapped_store) # Method 3 # AttributeError: __enter__ with conf.FS.open_async('s3://datasets-origin/usgs_streamflow_nldas_hourly.zarr') as zarr_path: zds = xr.open_dataset(zarr_path) And this is conf.FS:
FS = s3fs.S3FileSystem( client_kwargs={"endpoint_url": MINIO_PARAM["endpoint_url"]}, key=MINIO_PARAM["key"], secret=MINIO_PARAM["secret"], use_ssl=False, ) So how to solve their problem and let me get correct data?
———————————————————————————————————
This is my crash report in Method2:
name = 'xarray.core.daskmanager' import_ = > ??? E ModuleNotFoundError: No module named 'xarray.core.daskmanager' However I have run pip install xarray[complete] and conda install -c conda-forge xarray dask netCDF4 bottleneck before,so where's the problem? This is my pip list: https://pastebin.com/BUbcNqtT
Источник: https://stackoverflow.com/questions/780 ... from-minio