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Concurrent download of multiple files #439
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adlfs (like most fsspec libraries) is asynchronous internally with a sync API on top. See https://filesystem-spec.readthedocs.io/en/latest/async.html for more.
… On Nov 30, 2023, at 9:38 AM, Luca Maurelli ***@***.***> wrote:
I am wondering whether it is possible to use the library to download multiple files in parallel/concurrently (i.e. by exploiting asyncio Python SDK for Azure Blob Storage) so that given a list of files, e.g. ["file1.parquet", "file2.parquet", "file3.parquet"] I can start the download of all files in parallel with couritines and await them so that at the end I can do something the files, e.g. for instance concatenating them together.
What I tried so far is a single file:
import pandas as pd
storage_options={"connection_string": "MY_CONNECTION_STRING"}
CONTAINER = "MY_CONTAINER_NAME"
FILE = "PATH/TO/FILE.parquet"
FILEPATH = f"az:https://{CONTAINER}/{FILE}"
df = pd.read_parquet(FILEPATH, storage_options=storage_options)
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I am wondering whether it is possible to use the library to download multiple files in parallel/concurrently (i.e. by exploiting asyncio Python SDK for Azure Blob Storage) so that given a list of files, e.g. ["file1.parquet", "file2.parquet", "file3.parquet"] I can start the download of all files in parallel with couritines and await them so that at the end I can do something the files, e.g. for instance concatenating them together.
What I tried so far is a single file:
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