dstandish commented on a change in pull request #13571:
URL: https://github.com/apache/airflow/pull/13571#discussion_r571467658
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File path: chart/templates/workers/worker-kedaautoscaler.yaml
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@@ -36,13 +36,13 @@ metadata:
spec:
scaleTargetRef:
deploymentName: {{ .Release.Name }}-worker
- pollingInterval: {{ .Values.workers.keda.pollingInterval }} # Optional.
Default: 30 seconds
- cooldownPeriod: {{ .Values.workers.keda.cooldownPeriod }} # Optional.
Default: 300 seconds
- maxReplicaCount: {{ .Values.workers.keda.maxReplicaCount }} # Optional.
Default: 100
+ pollingInterval: {{ .Values.workers.keda.pollingInterval }} # Optional.
Default: 30 seconds
+ cooldownPeriod: {{ .Values.workers.keda.cooldownPeriod }} # Optional.
Default: 300 seconds
+ maxReplicaCount: {{ .Values.workers.keda.maxReplicaCount }} # Optional.
Default: 100
triggers:
- type: postgresql
metadata:
targetQueryValue: "1"
connection: AIRFLOW_CONN_AIRFLOW_DB
- query: "SELECT ceil(COUNT(*)::decimal / 16) FROM task_instance WHERE
state='running' OR state='queued'"
+ query: "SELECT ceil(COUNT(*)::decimal / {{
.Values.config.celery.worker_concurrency }}) FROM task_instance WHERE
state='running' OR state='queued'"
Review comment:
the chart does not support mysql _when you run the metastore on k8s
along with airflow_. however, wouldn't it work with mysql if you had an
external metastore e.g. rds (which is what is recommended anyway)?
i know postgres is the better fit for airflow but some folks might use other
dbs and off top of my head i think it would probably work since you just need
to specify conn uri and disable postgres and pgbouncer...
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