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2 changes: 1 addition & 1 deletion demos/signal-processing/DownloadAndWriteToDB.json
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Expand Up @@ -741,7 +741,7 @@
"kerberos-credentials-service": null,
"dbcp-max-conn-lifetime": "-1",
"Validation-query": "select count(*) from conditions;",
"Database Connection URL": "jdbc:postgresql://postgresql-timescaledb.{{ NAMESPACE }}.svc.cluster.local:5432/tsdb",
"Database Connection URL": "jdbc:postgresql://postgresql-timescaledb.[[ NAMESPACE ]].svc.cluster.local:5432/tsdb",
"dbcp-time-between-eviction-runs": "-1",
"Database User": "admin",
"kerberos-user-service": null,
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4 changes: 2 additions & 2 deletions demos/signal-processing/create-nifi-ingestion-job.yaml
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Expand Up @@ -90,11 +90,11 @@ data:
# At release time, .scripts/update_refs.sh rewrites the branch in this URL to the release
# branch. Keep the URL in a form its regex matches, or release-branch installs will
# download this file from main (see the 26.3 regression).
response = requests.get("https://raw.githubusercontent.com/stackabletech/demos/main/demos/signal-processing/DownloadAndWriteToDB.json")
response = requests.get("https://raw.githubusercontent.com/stackabletech/demos/refs/heads/main/demos/signal-processing/DownloadAndWriteToDB.json")

filename = "/tmp/DownloadAndWriteToDB.json"
with open(filename, "w") as f:
f.write(response.text.replace("{{ NAMESPACE }}", os.environ["NAMESPACE"]))
f.write(response.text.replace("[[ NAMESPACE ]]", os.environ["NAMESPACE"]))

pg_id = get_root_pg_id()

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17 changes: 16 additions & 1 deletion stacks/signal-processing/jupyterhub.yaml
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Expand Up @@ -5,6 +5,8 @@ repo:
name: jupyterhub
url: https://jupyterhub.github.io/helm-chart/
version: 4.4.0 # appVersion: 5.5.0
# Find values here: https://github.com/jupyterhub/zero-to-jupyterhub-k8s/blob/main/jupyterhub/values.yaml
# Note, they don't tag the repository, so you need to find _a_ commit where the Chart version matches what you are looking for.
options:
hub:
config:
Expand Down Expand Up @@ -40,6 +42,11 @@ options:
# the demo is reproducable for the release and it will be automatically replaced for the release branch.
name: oci.stackable.tech/demos/jupyter-pyspark-with-alibi-detect
tag: python-3.9
cloudMetadata:
# Disable, otherwise we get Back-off restarting failed container block-cloud-metadata in pod:
# block-cloud-metadata iptables v1.8.9 (legacy): can't initialize iptables table `filter': Table does not exist (do you need to insmod?)
# I believe this breaks in Kernel 7.x.
blockWithIptables: false
serviceAccountName: spark
networkPolicy:
enabled: false
Expand All @@ -51,11 +58,19 @@ options:
# {% if DEMO is defined %}
stackable.tech/demo: "{{ DEMO }}"
# {% endif %}
extraEnv:
# Needed because the Notebook runs code to interpolate the Postgres DB hostname with a namespace.
# We cannot use the downward API because some python code uses it and expects scalar values.
# We also MUST use a dict, otherwise hub shows the following error:
# traitlets.traitlets.TraitError: The 'environment' trait of a KubeSpawner instance expected a dict, not the list [{'name': 'NAMESPACE', 'value': 'my-namespace'}].
# A helper in the chart formats these properly for any container env vars in Pods.
NAMESPACE: "{{ NAMESPACE }}"
initContainers:
- name: download-notebook
image: oci.stackable.tech/sdp/tools:1.0.0-stackable0.0.0-dev
env:
# This file path needs adjustment for versioned demos on release branch
command: ['sh', '-c', 'curl https://raw.githubusercontent.com/stackabletech/demos/main/stacks/signal-processing/tsdb.ipynb -o /notebook/tsdb.ipynb']
command: ['sh', '-c', 'curl https://raw.githubusercontent.com/stackabletech/demos/refs/heads/main/stacks/signal-processing/tsdb.ipynb -o /notebook/tsdb.ipynb']
volumeMounts:
- mountPath: /notebook
name: notebook
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5 changes: 4 additions & 1 deletion stacks/signal-processing/tsdb.ipynb
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Expand Up @@ -68,7 +68,10 @@
"metadata": {},
"outputs": [],
"source": [
"engine = sqlalchemy.create_engine(\"postgresql://admin:adminadmin@postgresql-timescaledb.{{ NAMESPACE }}.svc.cluster.local:5432/tsdb\")\n",
"import os\n",
"namespace = os.environ.get('NAMESPACE', \"default\")\n",
"\n",
"engine = sqlalchemy.create_engine(f\"postgresql://admin:adminadmin@postgresql-timescaledb.{namespace}.svc.cluster.local:5432/tsdb\")\n",
"last_time = \"1970-01-01\"\n",
"cols = ['r1', 'r2', 'r3', 'r4', 'r5', 'r6', 'r7', 'r8', 'r9', 'r10', 'r11', 'r12', 'r13', 'r14']"
]
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