chore(tracking): Test demos for 25.3.0

[NickLarsenNZ]

Release Demo Testing

Part of stackabletech/issues#686

Tip

This step is mostly to check that images pull.

This is testing that the new release demos work as documented from scratch.

Note

Record any issues or anomalies during the process in a comment on this issue.
Eg:

:green_circle: **airflow-scheduled-job**

The CRD had been updated and I needed to change the following in the manifest:
...

Replace the items in the task lists below with the applicable Pull Requests (if any).

Note

At this point, the new release docs are still versioned as nightly.

### Testing Demos on Nightly
- [x] [airflow-scheduled-job](https://docs.stackable.tech/home/nightly/demos/airflow-scheduled-job) @maltesander
- [x] [data-lakehouse-iceberg-trino-spark](https://docs.stackable.tech/home/nightly/demos/data-lakehouse-iceberg-trino-spark)
- [x] [end-to-end-security](https://docs.stackable.tech/home/nightly/demos/end-to-end-security) @maltesander
- [x] [hbase-hdfs-load-cycling-data](https://docs.stackable.tech/home/nightly/demos/hbase-hdfs-load-cycling-data) @adwk67
- [x] [jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data](https://docs.stackable.tech/home/nightly/demos/jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data) @adwk67
- [x] [logging](https://docs.stackable.tech/home/nightly/demos/logging) @Techassi
- [x] [nifi-kafka-druid-earthquake-data](https://docs.stackable.tech/home/nightly/demos/nifi-kafka-druid-earthquake-data) @maltesander
- [x] [nifi-kafka-druid-water-level-data](https://docs.stackable.tech/home/nightly/demos/nifi-kafka-druid-water-level-data) @xeniape
- [x] [signal-processing](https://docs.stackable.tech/home/nightly/demos/signal-processing) @Techassi
- [x] [spark-k8s-anomaly-detection-taxi-data](https://docs.stackable.tech/home/nightly/demos/spark-k8s-anomaly-detection-taxi-data) @NickLarsenNZ
- [x] [trino-iceberg](https://docs.stackable.tech/home/nightly/demos/trino-iceberg) @maltesander
- [x] [trino-taxi-data](https://docs.stackable.tech/home/nightly/demos/trino-taxi-data) @NickLarsenNZ
- [x] [jupyterhub-keycloak](https://docs.stackable.tech/home/nightly/demos/jupyterhub-keycloak) @adwk67

25.3 from Scratch Testing Instructions

These instructions are for deploying and completing the 25.3 demo from scratch.

Tip

Be sure to select the nightly docs version on https://docs.stackable.tech/home/nightly/demos/.

stackablectl demo install <DEMO_NAME> --release 25.3

# --- IMPORTANT ---
# Run through the nightly demo instructions (refer to the tasklist above).

# If you need to fix anything, you will need to clone the repo and use local files:
# git checkout release-25.3
# git pull
# stackablectl --stack-file=stacks/stacks-v2.yaml --demo-file=demos/demos-v2.yaml demo install <DEMO_NAME>

[NickLarsenNZ]

I removed the upgrade testing, but here is the original content:

Outgoing Stable to new 25.3 Upgrade Testing Instructions

These instructions are for deploying and completing the outgoing stable demo, and then
upgading operators, CRDs, and products to the nightly versions well as upgrading
the operators and CRDS.

[!TIP]
Be sure to select the stable docs version on https://docs.stackable.tech/home/stable/demos/.

stackablectl demo install <DEMO_NAME> --release 24.11

# --- IMPORTANT ---
# Run through the stable demo instructions (refer to the tasklist above).

# Get a list of installed operators
stackablectl operator installed --output=plain

# --- OPTIONAL ---
# Sometimes it is necessary to upgrade Helm charts. Look for other Helm Charts
# which might need updating.

# First, see which charts are installed. You can ignore the stackable-operator
# charts, or anything that might have been installed outside of this demo.
helm list

# Next, add the applicable Helm Chart repositories. For example:
helm repo add minio https://charts.min.io/
helm repo add bitnami https://charts.bitnami.com/bitnami

# Finally, upgrade the Charts to what is defined in `main`.
# For example:
helm upgrade minio minio/minio --version x.x.x
helm upgrade postgresql-hive bitnami/postgresql --version x.x.x
# --- OPTIONAL END ---

# Uninstall operators for the stable release (OUTGOING_STABLE)
stackablectl release uninstall 24.11

# At this point, we assume release.yml has been updated with the new 25.3 release.
# if it hasn't, you will need to point stackablectl at a locally updated file using --release-file

# Update CRDs to nightly version (on release-25.3)
# Repeat this for every operator used by the demo (use the list from the earlier step before deleting the operators)
kubectl replace -f https://raw.githubusercontent.com/stackabletech/commons-operator/release-25.3/deploy/helm/commons-operator/crds/crds.yaml
kubectl replace -f https://raw.githubusercontent.com/stackabletech/...-operator/release-25.3/deploy/helm/...-operator/crds/crds.yaml

# Install new release operators (use the list from the earlier step before deleting the operators)
stackablectl operator install commons=25.3.0 ...

# Optionally update the product versions in the CRDs (to the latest non-experimental version for the new release), e.g.:
kubectl patch hbaseclusters/hbase --type='json' -p='[{"op": "replace", "path": "/spec/image/productVersion", "value":"x.x.x"}]' # changed

[Techassi]

🟢 logging

Already tested as part of local release.yaml testing. Works without any issues.

[maltesander]

🟢 airflow-scheduled-job

No issues.

[Techassi]

🟢 signal-processing

All pods come up and all jobs succeed, but the Grafana dashboards don't display any data. I encountered a bunch of errors when running the notebook. This is due to the data not being available yet through NiFi.

The demo works fine after waiting a couple of minutes, but this delay was not present when previously testing this demo.

[maltesander]

🟢 end-to-end-security

Need to downgrade hive to 4.0.0 #189 and #190 cherry-pick to main (otherwise spark job fails)
No issues otherwise, row filter / column masking / authz etc still works.

[adwk67]

🟢 hbase-hdfs-load-cycling-data

No issues.

[adwk67]

🟢 jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data

No issues.

[maltesander]

🟢 trino-iceberg

No issues.

[NickLarsenNZ]

🟢 trino-taxi-data

Got errors when running the SQL statement in Superset, but it seems to have worked fine once rerunning it.