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implement abstractstagingclient for azure blob storage #1218
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/kind feature |
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sdk/python/feast/loaders/file.py
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@@ -76,10 +78,10 @@ def export_source_to_staging_location( | |||
os.path.join(source_uri.netloc, source_uri.path) | |||
) | |||
else: | |||
# gs, s3 file provided as a source. | |||
# gs, s3, azure blob file provided as a source. | |||
assert source_uri.hostname is not None | |||
return get_staging_client(source_uri.scheme).list_files( |
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seems like the Config object isn't available to be passed to get_staging_client here, so is there a better way to pass in the required parameters (account name and access key) for the Azure client than requiring them to be passed in in the config?
I've done some basic manual testing, not sure if there's more that should be done outside of end-to-end Azure tests - what is the case for S3/GCS? |
AZURE_BLOB_ACCOUNT_NAME: Optional[str] = None | ||
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#: Account access key for Azure blob storage_client | ||
AZURE_BLOB_ACCOUNT_ACCESS_KEY: Optional[str] = None |
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It's not possible for this configuration to be read from environmental variables by the azure client?
they are covered by e2e tests |
Signed-off-by: Jacob Klegar <jacob@tecton.ai>
Signed-off-by: Jacob Klegar <jacob@tecton.ai>
Signed-off-by: Jacob Klegar <jacob@tecton.ai>
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/lgtm |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: jklegar, woop The full list of commands accepted by this bot can be found here. The pull request process is described here
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Signed-off-by: Jacob Klegar jacob@tecton.ai
What this PR does / why we need it: Supports Azure Blob Storage as an object store and batch data source as part of #1181
Which issue(s) this PR fixes:
Fixes #
Does this PR introduce a user-facing change?: