Installing Runtime 22.1 on Python 3.9

A project administrator can install Runtime 22.1 on Python 3.9 on IBM Cloud Pak® for Data.

What permissions do you need to complete this task?
The permissions that you need depend on which tasks you must complete:
  • To install Runtime 22.1 on Python 3.9, you must be an administrator of the project where Runtime 22.1 on Python 3.9 is installed. This project is identified by the ${PROJECT_CPD_INSTANCE} environment variable.

Information you need to complete this task

Review the following information before you install Runtime 22.1 on Python 3.9:

Environment variables
The commands in this task use environment variables so that you can run the commands exactly as written.
  • If you don't have the script that defines the environment variables, see Setting up installation environment variables.
  • To use the environment variables from the script, you must source the environment variables before you run the commands in this task, for example:
    source ./cpd_vars.sh
Security context constraint requirements
Runtime 22.1 on Python 3.9 uses the restricted security context constraint (SCC).
Installation location
Runtime 22.1 on Python 3.9 must be installed in the same project (namespace) as the Cloud Pak for Data control plane. This project is identified by the ${PROJECT_CPD_INSTANCE} environment variable.
Storage requirements
You don't need to specify storage when you install Runtime 22.1 on Python 3.9.

Before you begin

This task assumes that the following prerequisites are met:

Prerequisite Where to find more information
The cluster meets the minimum requirements for installing Runtime 22.1 on Python 3.9. If this task is not complete, see System requirements.
The workstation from which you will run the installation is set up as a client workstation and includes the following command-line interfaces:
  • Cloud Pak for Data CLI: cpd-cli
  • OpenShift® CLI: oc
 If this task is not complete, see Setting up a client workstation.
The Cloud Pak for Data control plane is installed. If this task is not complete, see Installing the platform and services.
For environments that use a private container registry, such as air-gapped environments, the Runtime 22.1 on Python 3.9 software images are mirrored to the private container registry. If this task is not complete, see Mirroring images to a private container registry.

Prerequisite services

Before you install Runtime 22.1 on Python 3.9, ensure that the following services are installed and running:

Procedure

Complete the following tasks to install Runtime 22.1 on Python 3.9:

  1. Logging in to the cluster
  2. Installing the service
  3. Specifying additional installation options
  4. Validating the installation
  5. What to do next

Logging in to the cluster

To run cpd-cli manage commands, you must log in to the cluster.

To log in to the cluster:

  1. Run the cpd-cli manage login-to-ocp command to log in to the cluster as a user with sufficient permissions to complete this task. For example:
    cpd-cli manage login-to-ocp \
--username=${OCP_USERNAME} \
--password=${OCP_PASSWORD} \
--server=${OCP_URL}
    Tip: The login-to-ocp command takes the same input as the oc login command. Run oc login --help for details.

Installing the service

Who needs to complete this task?
You must be an administrator of the project where you will install Runtime 22.1 on Python 3.9.
When do you need to complete this task?
Complete this task if you want to add Runtime 22.1 on Python 3.9 to your environment.

To install the service:

  • Create the custom resource for Runtime 22.1 on Python 3.9
    cpd-cli manage apply-cr \
--components=ws_runtimes \
--release=${VERSION} \
--cpd_instance_ns=${PROJECT_CPD_INSTANCE} \
--extra-vars="cr_name=ibm-cpd-ws-runtime-py39" \
--license_acceptance=true

Specifying additional installation options

You can optionally install the pre-trained NLP models for the Watson Natural Language Processing library.

oc patch -n ${PROJECT_CPD_INSTANCE} NotebookRuntime ibm-cpd-ws-runtime-py39 --type=merge --patch '{"spec":{"install_nlp_models":true}}'
The pre-trained NLP models are large and take time to install. Use the following command to check the status of the notebook runtimes:
oc get -n ${PROJECT_CPD_INSTANCE} NotebookRuntime -o custom-columns=NAME:metadata.name,STATUS:status.runtimeStatus

The pre-trained NLP models are available only when the status column for the notebook runtimes changes to Completed.

Validating the installation

You can optionally run the cpd-cli manage get-cr-status command if you want to confirm that the custom resource status is Completed:

cpd-cli manage get-cr-status \
--cpd_instance_ns=${PROJECT_CPD_INSTANCE} \
--components=ws_runtimes

What to do next

This service is ready to use. See Notebook environments.