Azure Blob Store Setup¶
Driverless AI allows you to explore Azure Blob Store data sources from within the Driverless AI application. This section describes how to enable the Azure Blob Store data connector in Docker environments.
Description of Configuration Attributes¶
azure_blob_account_name
: The Microsoft Azure Storage account name. This should be the dns prefix created when the account was created (for example, “mystorage”).
azure_blob_account_key
: Specify the account key that maps to your account name.
azure_connection_string
: Optionally specify a new connection string. With this option, you can include an override for a host, port, and/or account name. For example,
azure_connection_string = "DefaultEndpointsProtocol=http;AccountName=<account_name>;AccountKey=<account_key>;BlobEndpoint=http://<host>:<port>/<account_name>;"
Azure Blob Store Example¶
This example enables the Azure Blob Store data connector. This allows users to reference data stored on your Azure storage account using the account name, for example: https://mystorage.blob.core.windows.net
. Replace TAG below with the image tag.
nvidia-docker run \
--pid=host \
--init \
--rm \
--shm-size=256m \
-e DRIVERLESS_AI_ENABLED_FILE_SYSTEMS="file,azrbs" \
-e DRIVERLESS_AI_AZURE_BLOB_ACCOUNT_NAME="mystorage" \
-e DRIVERLESS_AI_AZURE_BLOB_ACCOUNT_KEY="<access_key>" \
-p 12345:12345 \
-v /tmp/dtmp/:/tmp \
-v /tmp/dlog/:/log \
-v /tmp/dlicense/:/license \
-v /tmp/ddata/:/data \
-u $(id -u):$(id -g) \
h2oai/dai-centos7-x86_64:TAG