Installing conda for packaging mirroring
To help improve performance and security, Data Science & AI Workbench enables you to create a local copy of an online package repository so users can access the packages from a centralized, on-premises location. This copy is called a mirror. A mirror can be complete, partial, or include specific packages or types of packages.
The Workbench installer contains a bootstrap executable that you can run to install conda.
Prerequisites:
Installing conda
-
Use one of the following methods to obtain conda for your setup:
Open a terminal window and navigate to the directory where you downloaded and extracted the Workbench installer:
Open a terminal window and navigate to the directory where you downloaded and extracted the Workbench installer:
Open a terminal window and download the conda environment bundle by running the following command:
-
Run the following command to verify the
bzip2
package is installed:If the command returns a valid package, you can run the bootstrap executable. If not, install the binary by running either
yum install bzip2
orapt-get install bzip2
. -
Make the bootstrap executable by running the following command:
-
Type
yes
when prompted to accept the end user license agreement (EULA). -
Accept the default path, or enter an alternate path when prompted.
-
When prompted, type
yes
to activate the conda command at shell initialization. -
Re-initialize your terminal for the previous steps to take effect:
Now that you’ve installed conda, you can configure access to the source of the packages to be mirrored, whether an online repository or a tarball (if an air-gapped installation). Then you’ll be ready to begin mirroring channels and packages.
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