Upgrading SPSS Modeler from 4.0 to 4.6
A project administrator can upgrade SPSS Modeler from Cloud Pak for Data Version 4.0 to Version 4.6.
- Supported upgrade paths
- If you are running SPSS Modeler Version 4.0.2 or later, you can upgrade to Versions 4.6.0 - 4.6.2.
- Unsupported upgrade paths
- You cannot upgrade from Version 4.0 to Version 4.6.3 or later. You must upgrade to 4.6.2 before you upgrade to 4.6.3 or later.
- What permissions do you need to complete this task?
- The permissions that you need depend on which tasks you must complete:
- To update the SPSS Modeler operators, you must have the appropriate permissions to
create operators and you must be an administrator of the project where the Cloud Pak for Data operators are installed. This project is
identified by the
${PROJECT_CPD_OPS}
environment variable. - To upgrade SPSS Modeler, you must be an
administrator of the project where SPSS Modeler is installed. This project is identified by
the
${PROJECT_CPD_INSTANCE}
environment variable.
- To update the SPSS Modeler operators, you must have the appropriate permissions to
create operators and you must be an administrator of the project where the Cloud Pak for Data operators are installed. This project is
identified by the
- When do you need to complete this task?
- If you didn't upgrade SPSS Modeler when you upgraded the platform, you can complete this
task to upgrade your existing SPSS Modeler installation.
If you want to upgrade all of the Cloud Pak for Data components at the same time, follow the process in Upgrading the platform and services instead.
Important: All of the Cloud Pak for Data components in a deployment must be installed at the same release.
Information you need to complete this task
Review the following information before you upgrade SPSS Modeler:
- 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
- Installation location
- SPSS Modeler is installed in the same project
(namespace) as the Cloud Pak for Data control
plane. This
project is identified by the
${PROJECT_CPD_INSTANCE}
environment variable.
- Storage requirements
- You don't need to specify storage when you upgrade SPSS Modeler.
Before you begin
This task assumes that the following prerequisites are met:
Prerequisite | Where to find more information |
---|---|
The cluster meets the minimum requirements for SPSS Modeler. | If this task is not complete, see System requirements. |
The workstation from which you will run the upgrade is set up as a client workstation and
includes the following command-line interfaces:
|
If this task is not complete, see Setting up a client workstation. |
The Cloud Pak for Data control plane is upgraded. | If this task is not complete, see Upgrading the platform and services. |
For environments that use a private container registry, such as air-gapped environments, the SPSS Modeler software images are mirrored to the private container registry. | If this task is not complete, see Mirroring images to a private container registry. |
Prerequisite services
Before you upgrade SPSS Modeler, ensure that the following services are upgraded and running:
Procedure
Complete the following tasks to upgrade SPSS Modeler:
Logging in to the cluster
To run cpd-cli
manage
commands, you must log in to the cluster.
To log in to the cluster:
-
Run the
cpd-cli manage login-to-ocp
command to log in to the cluster as a user with sufficient permissions to complete this task. For example:cpd-cli manage login-to-ocp \ --username=${OCP_USERNAME} \ --password=${OCP_PASSWORD} \ --server=${OCP_URL}
Tip: Thelogin-to-ocp
command takes the same input as theoc login
command. Runoc login --help
for details.
Updating the operator
The SPSS Modeler operator simplifies the process of managing the SPSS Modeler service on Red Hat® OpenShift Container Platform.
To upgrade SPSS Modeler, ensure that all of the Operator Lifecycle Manager (OLM) objects in the ${PROJECT_CPD_OPS}
project, such as the catalog sources and subscriptions,
are upgraded to the appropriate release. All of the OLM objects must be at the same release.
- Who needs to complete this task?
- You must be a cluster administrator (or a user with the appropriate permissions to install operators) to create the OLM objects.
- When do you need to complete this task?
- Complete this task only if the OLM artifacts have not been updated for the
current release using the
cpd-cli manage apply-olm
command with the--upgrade=true
option.It is not necessary to run this command multiple times for each service that you plan to upgrade. If you complete this task and the OLM artifacts already exist on the cluster, the
cpd-cli
will recreate the OLM objects for all of the existing components in the${PROJECT_CPD_OPS}
project.
To update the operator:
- Update
the OLM objects:
cpd-cli manage apply-olm \ --release=${VERSION} \ --cpd_operator_ns=${PROJECT_CPD_OPS} \ --upgrade=true
- If the command succeeds, it returns [SUCCESS]... The apply-olm command ran successfully.
- If the command fails, it returns [ERROR] and includes information about the cause of the failure.
What to do next: Upgrade the SPSS Modeler service.
Upgrading the service
After the SPSS Modeler operator is updated, you can upgrade SPSS Modeler.
- Who needs to complete this task?
- You must be an administrator of the project where SPSS Modeler is installed.
- When do you need to complete this task?
- Complete this task for each instance of SPSS Modeler that is associated with an instance of Cloud Pak for Data Version 4.6.
To upgrade the service:
- Update the custom resource for SPSS Modeler.
cpd-cli manage apply-cr \ --components=spss \ --release=${VERSION} \ --cpd_instance_ns=${PROJECT_CPD_INSTANCE} \ --license_acceptance=true \ --upgrade=true
Validating the upgrade
SPSS Modeler is upgraded when the apply-cr
command returns [SUCCESS]... The apply-cr command ran
successfully.
However, 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=spss
What to do next
SPSS Modeler is ready to use. To get started with SPSS Modeler, see Creating SPSS Modeler flows.