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values.yaml
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
---
# Default values for airflow.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
# Provide a name to substitute for the full names of resources
fullnameOverride: ""
# Provide a name to substitute for the name of the chart
nameOverride: ""
# Use standard naming for all resources using airflow.fullname template
# Consider removing this later and default it to true
# to make this chart follow standard naming conventions using the fullname template.
# For now this is an opt-in switch for backwards compatibility to leverage the standard naming convention
# and being able to use fully fullnameOverride and nameOverride in all resources
# For new installations - it is recommended to set it to True to follow standard naming conventions
# For existing installations, this will rename and redeploy your resources with the new names. Be aware that
# this will recreate your deployment/statefulsets along with their persistent volume claims and data storage
# migration may be needed to keep your old data
#
# Note:fernet-key,redis-password and broker-url secrets don't use this logic yet,
# as this may break existing installations due to how they get installed via pre-install hook.
useStandardNaming: false
# Max number of old replicasets to retain. Can be overridden by each deployment's revisionHistoryLimit
revisionHistoryLimit: ~
# User and group of airflow user
uid: 50000
gid: 0
# Default security context for airflow (deprecated, use `securityContexts` instead)
securityContext: {}
# runAsUser: 50000
# fsGroup: 0
# runAsGroup: 0
# Detailed default security context for airflow deployments
securityContexts:
pod: {}
containers: {}
# Global container lifecycle hooks for airflow containers
containerLifecycleHooks: {}
# Airflow home directory
# Used for mount paths
airflowHome: /opt/airflow
# Default airflow repository -- overridden by all the specific images below
defaultAirflowRepository: apache/airflow
# Default airflow tag to deploy
defaultAirflowTag: "2.10.5"
# Default airflow digest. If specified, it takes precedence over tag
defaultAirflowDigest: ~
# Airflow version (Used to make some decisions based on Airflow Version being deployed)
airflowVersion: "2.10.5"
# Images
images:
airflow:
repository: ~
tag: ~
# Specifying digest takes precedence over tag.
digest: ~
pullPolicy: IfNotPresent
# To avoid images with user code, you can turn this to 'true' and
# all the 'run-airflow-migrations' and 'wait-for-airflow-migrations' containers/jobs
# will use the images from 'defaultAirflowRepository:defaultAirflowTag' values
# to run and wait for DB migrations .
useDefaultImageForMigration: false
# timeout (in seconds) for airflow-migrations to complete
migrationsWaitTimeout: 60
pod_template:
# Note that `images.pod_template.repository` and `images.pod_template.tag` parameters
# can be overridden in `config.kubernetes` section. So for these parameters to have effect
# `config.kubernetes.worker_container_repository` and `config.kubernetes.worker_container_tag`
# must be not set .
repository: ~
tag: ~
pullPolicy: IfNotPresent
flower:
repository: ~
tag: ~
pullPolicy: IfNotPresent
statsd:
repository: quay.io/prometheus/statsd-exporter
tag: v0.28.0
pullPolicy: IfNotPresent
redis:
repository: redis
# Redis is limited to 7.2-bookworm due to licencing change
# https://redis.io/blog/redis-adopts-dual-source-available-licensing/
tag: 7.2-bookworm
pullPolicy: IfNotPresent
pgbouncer:
repository: apache/airflow
tag: airflow-pgbouncer-2025.01.10-1.24.0
pullPolicy: IfNotPresent
pgbouncerExporter:
repository: apache/airflow
tag: airflow-pgbouncer-exporter-2024.06.18-0.17.0
pullPolicy: IfNotPresent
gitSync:
repository: registry.k8s.io/git-sync/git-sync
tag: v4.3.0
pullPolicy: IfNotPresent
# Select certain nodes for airflow pods.
nodeSelector: {}
affinity: {}
tolerations: []
topologySpreadConstraints: []
schedulerName: ~
# Add common labels to all objects and pods defined in this chart.
labels: {}
# Ingress configuration
ingress:
# Enable all ingress resources (deprecated - use ingress.web.enabled and ingress.flower.enabled)
enabled: ~
# Configs for the Ingress of the web Service
web:
# Enable web ingress resource
enabled: false
# Annotations for the web Ingress
annotations: {}
# The path for the web Ingress
path: "/"
# The pathType for the above path (used only with Kubernetes v1.19 and above)
pathType: "ImplementationSpecific"
# The hostname for the web Ingress (Deprecated - renamed to `ingress.web.hosts`)
host: ""
# The hostnames or hosts configuration for the web Ingress
hosts: []
# # The hostname for the web Ingress (templated)
# - name: ""
# # configs for web Ingress TLS
# tls:
# # Enable TLS termination for the web Ingress
# enabled: false
# # the name of a pre-created Secret containing a TLS private key and certificate
# secretName: ""
# The Ingress Class for the web Ingress (used only with Kubernetes v1.19 and above)
ingressClassName: ""
# configs for web Ingress TLS (Deprecated - renamed to `ingress.web.hosts[*].tls`)
tls:
# Enable TLS termination for the web Ingress
enabled: false
# the name of a pre-created Secret containing a TLS private key and certificate
secretName: ""
# HTTP paths to add to the web Ingress before the default path
precedingPaths: []
# Http paths to add to the web Ingress after the default path
succeedingPaths: []
# Configs for the Ingress of the flower Service
flower:
# Enable web ingress resource
enabled: false
# Annotations for the flower Ingress
annotations: {}
# The path for the flower Ingress
path: "/"
# The pathType for the above path (used only with Kubernetes v1.19 and above)
pathType: "ImplementationSpecific"
# The hostname for the flower Ingress (Deprecated - renamed to `ingress.flower.hosts`)
host: ""
# The hostnames or hosts configuration for the flower Ingress
hosts: []
# # The hostname for the flower Ingress (templated)
# - name: ""
# tls:
# # Enable TLS termination for the flower Ingress
# enabled: false
# # the name of a pre-created Secret containing a TLS private key and certificate
# secretName: ""
# The Ingress Class for the flower Ingress (used only with Kubernetes v1.19 and above)
ingressClassName: ""
# configs for flower Ingress TLS (Deprecated - renamed to `ingress.flower.hosts[*].tls`)
tls:
# Enable TLS termination for the flower Ingress
enabled: false
# the name of a pre-created Secret containing a TLS private key and certificate
secretName: ""
# Configs for the Ingress of the statsd Service
statsd:
# Enable web ingress resource
enabled: false
# Annotations for the statsd Ingress
annotations: {}
# The path for the statsd Ingress
path: "/metrics"
# The pathType for the above path (used only with Kubernetes v1.19 and above)
pathType: "ImplementationSpecific"
# The hostname for the statsd Ingress (Deprecated - renamed to `ingress.statsd.hosts`)
host: ""
# The hostnames or hosts configuration for the statsd Ingress
hosts: []
# # The hostname for the statsd Ingress (templated)
# - name: ""
# tls:
# # Enable TLS termination for the statsd Ingress
# enabled: false
# # the name of a pre-created Secret containing a TLS private key and certificate
# secretName: ""
# The Ingress Class for the statsd Ingress (used only with Kubernetes v1.19 and above)
ingressClassName: ""
# Configs for the Ingress of the pgbouncer Service
pgbouncer:
# Enable web ingress resource
enabled: false
# Annotations for the pgbouncer Ingress
annotations: {}
# The path for the pgbouncer Ingress
path: "/metrics"
# The pathType for the above path (used only with Kubernetes v1.19 and above)
pathType: "ImplementationSpecific"
# The hostname for the pgbouncer Ingress (Deprecated - renamed to `ingress.pgbouncer.hosts`)
host: ""
# The hostnames or hosts configuration for the pgbouncer Ingress
hosts: []
# # The hostname for the statsd Ingress (templated)
# - name: ""
# tls:
# # Enable TLS termination for the pgbouncer Ingress
# enabled: false
# # the name of a pre-created Secret containing a TLS private key and certificate
# secretName: ""
# The Ingress Class for the pgbouncer Ingress (used only with Kubernetes v1.19 and above)
ingressClassName: ""
# Network policy configuration
networkPolicies:
# Enabled network policies
enabled: false
# Extra annotations to apply to all
# Airflow pods
airflowPodAnnotations: {}
# Extra annotations to apply to
# main Airflow configmap
airflowConfigAnnotations: {}
# `airflow_local_settings` file as a string (templated).
airflowLocalSettings: |-
{{- if semverCompare ">=2.2.0" .Values.airflowVersion }}
{{- if not (or .Values.webserverSecretKey .Values.webserverSecretKeySecretName) }}
from airflow.www.utils import UIAlert
DASHBOARD_UIALERTS = [
UIAlert(
'Usage of a dynamic webserver secret key detected. We recommend a static webserver secret key instead.'
' See the <a href='
'"https://airflow.apache.org/docs/helm-chart/stable/production-guide.html#webserver-secret-key" '
'target="_blank" rel="noopener noreferrer">'
'Helm Chart Production Guide</a> for more details.',
category="warning",
roles=["Admin"],
html=True,
)
]
{{- end }}
{{- end }}
# Enable RBAC (default on most clusters these days)
rbac:
# Specifies whether RBAC resources should be created
create: true
createSCCRoleBinding: false
# Airflow executor
# One of: LocalExecutor, LocalKubernetesExecutor, CeleryExecutor, KubernetesExecutor, CeleryKubernetesExecutor
# Specify executors in a prioritized list to leverage multiple execution environments as needed.
executor: "CeleryExecutor"
# If this is true and using LocalExecutor/KubernetesExecutor/CeleryKubernetesExecutor, the scheduler's
# service account will have access to communicate with the api-server and launch pods.
# If this is true and using CeleryExecutor/KubernetesExecutor/CeleryKubernetesExecutor, the workers
# will be able to launch pods.
allowPodLaunching: true
# Environment variables for all airflow containers
env: []
# - name: ""
# value: ""
# Volumes for all airflow containers
volumes: []
# VolumeMounts for all airflow containers
volumeMounts: []
# Secrets for all airflow containers
secret: []
# - envName: ""
# secretName: ""
# secretKey: ""
# Enables selected built-in secrets that are set via environment variables by default.
# Those secrets are provided by the Helm Chart secrets by default but in some cases you
# might want to provide some of those variables with _CMD or _SECRET variable, and you should
# in this case disable setting of those variables by setting the relevant configuration to false.
enableBuiltInSecretEnvVars:
AIRFLOW__CORE__FERNET_KEY: true
# For Airflow <2.3, backward compatibility; moved to [database] in 2.3
AIRFLOW__CORE__SQL_ALCHEMY_CONN: true
AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: true
AIRFLOW_CONN_AIRFLOW_DB: true
AIRFLOW__WEBSERVER__SECRET_KEY: true
AIRFLOW__CELERY__CELERY_RESULT_BACKEND: true
AIRFLOW__CELERY__RESULT_BACKEND: true
AIRFLOW__CELERY__BROKER_URL: true
AIRFLOW__ELASTICSEARCH__HOST: true
AIRFLOW__ELASTICSEARCH__ELASTICSEARCH_HOST: true
AIRFLOW__OPENSEARCH__HOST: true
# Priority Classes that will be installed by charts.
# Ideally, there should be an entry for dagProcessor, flower,
# pgbouncer, scheduler, statsd, triggerer, webserver, worker.
# The format for priorityClasses is an array with each element having:
# * name is the name of the priorityClass. Ensure the same name is given to the respective section as well
# * preemptionPolicy for the priorityClass
# * value is the preemption value for the priorityClass
priorityClasses: []
# - name: class1 (if this is for dagProcessor, ensure overriding .Values.dagProcessor.priorityClass too)
# preemptionPolicy: PreemptLowerPriority
# value: 10000
# - name: class2
# preemptionPolicy: Never
# value: 100000
# Extra secrets that will be managed by the chart
# (You can use them with extraEnv or extraEnvFrom or some of the extraVolumes values).
# The format for secret data is "key/value" where
# * key (templated) is the name of the secret that will be created
# * value: an object with the standard 'data' or 'stringData' key (or both).
# The value associated with those keys must be a string (templated)
extraSecrets: {}
# eg:
# extraSecrets:
# '{{ .Release.Name }}-airflow-connections':
# type: 'Opaque'
# labels:
# my.custom.label/v1: my_custom_label_value_1
# data: |
# AIRFLOW_CONN_GCP: 'base64_encoded_gcp_conn_string'
# AIRFLOW_CONN_AWS: 'base64_encoded_aws_conn_string'
# stringData: |
# AIRFLOW_CONN_OTHER: 'other_conn'
# '{{ .Release.Name }}-other-secret-name-suffix':
# data: |
# ...
# 'proxy-config':
# stringData: |
# HTTP_PROXY: http://proxy_user:[email protected]:2080
# HTTPS_PROXY: http://proxy_user:[email protected]:2080
# NO_PROXY: "localhost,127.0.0.1,.svc.cluster.local,kubernetes.default.svc"
# Extra ConfigMaps that will be managed by the chart
# (You can use them with extraEnv or extraEnvFrom or some of the extraVolumes values).
# The format for configmap data is "key/value" where
# * key (templated) is the name of the configmap that will be created
# * value: an object with the standard 'data' key.
# The value associated with this keys must be a string (templated)
extraConfigMaps: {}
# eg:
# extraConfigMaps:
# '{{ .Release.Name }}-airflow-variables':
# labels:
# my.custom.label/v2: my_custom_label_value_2
# data: |
# AIRFLOW_VAR_HELLO_MESSAGE: "Hi!"
# AIRFLOW_VAR_KUBERNETES_NAMESPACE: "{{ .Release.Namespace }}"
# Extra env 'items' that will be added to the definition of airflow containers
# a string is expected (templated).
# TODO: difference from `env`? This is a templated string. Probably should template `env` and remove this.
extraEnv: ~
# eg:
# extraEnv: |
# - name: AIRFLOW__CORE__LOAD_EXAMPLES
# value: 'True'
# Extra envFrom 'items' that will be added to the definition of airflow containers
# A string is expected (templated).
extraEnvFrom: ~
# eg:
# extraEnvFrom: |
# - secretRef:
# name: '{{ .Release.Name }}-airflow-connections'
# - configMapRef:
# name: '{{ .Release.Name }}-airflow-variables'
# Airflow database & redis config
data:
# If secret names are provided, use those secrets
# These secrets must be created manually, eg:
#
# kind: Secret
# apiVersion: v1
# metadata:
# name: custom-airflow-metadata-secret
# type: Opaque
# data:
# connection: base64_encoded_connection_string
metadataSecretName: ~
# When providing secret names and using the same database for metadata and
# result backend, for Airflow < 2.4.0 it is necessary to create a separate
# secret for result backend but with a db+ scheme prefix.
# For Airflow >= 2.4.0 it is possible to not specify the secret again,
# as Airflow will use sql_alchemy_conn with a db+ scheme prefix by default.
resultBackendSecretName: ~
brokerUrlSecretName: ~
# Otherwise pass connection values in
metadataConnection:
user: postgres
pass: postgres
protocol: postgresql
host: ~
port: 5432
db: postgres
sslmode: disable
# resultBackendConnection defaults to the same database as metadataConnection
resultBackendConnection: ~
# or, you can use a different database
# resultBackendConnection:
# user: postgres
# pass: postgres
# protocol: postgresql
# host: ~
# port: 5432
# db: postgres
# sslmode: disable
# Note: brokerUrl can only be set during install, not upgrade
brokerUrl: ~
# Fernet key settings
# Note: fernetKey can only be set during install, not upgrade
fernetKey: ~
fernetKeySecretName: ~
# Flask secret key for Airflow Webserver: `[webserver] secret_key` in airflow.cfg
webserverSecretKey: ~
webserverSecretKeySecretName: ~
# In order to use kerberos you need to create secret containing the keytab file
# The secret name should follow naming convention of the application where resources are
# name {{ .Release-name }}-<POSTFIX>. In case of the keytab file, the postfix is "kerberos-keytab"
# So if your release is named "my-release" the name of the secret should be "my-release-kerberos-keytab"
#
# The Keytab content should be available in the "kerberos.keytab" key of the secret.
#
# apiVersion: v1
# kind: Secret
# data:
# kerberos.keytab: <base64_encoded keytab file content>
# type: Opaque
#
#
# If you have such keytab file you can do it with similar
#
# kubectl create secret generic {{ .Release.name }}-kerberos-keytab --from-file=kerberos.keytab
#
#
# Alternatively, instead of manually creating the secret, it is possible to specify
# kerberos.keytabBase64Content parameter. This parameter should contain base64 encoded keytab.
#
kerberos:
enabled: false
ccacheMountPath: /var/kerberos-ccache
ccacheFileName: cache
configPath: /etc/krb5.conf
keytabBase64Content: ~
keytabPath: /etc/airflow.keytab
principal: [email protected]
reinitFrequency: 3600
config: |
# This is an example config showing how you can use templating and how "example" config
# might look like. It works with the test kerberos server that we are using during integration
# testing at Apache Airflow (see `scripts/ci/docker-compose/integration-kerberos.yml` but in
# order to make it production-ready you must replace it with your own configuration that
# Matches your kerberos deployment. Administrators of your Kerberos instance should
# provide the right configuration.
[logging]
default = "FILE:{{ template "airflow_logs_no_quote" . }}/kerberos_libs.log"
kdc = "FILE:{{ template "airflow_logs_no_quote" . }}/kerberos_kdc.log"
admin_server = "FILE:{{ template "airflow_logs_no_quote" . }}/kadmind.log"
[libdefaults]
default_realm = FOO.COM
ticket_lifetime = 10h
renew_lifetime = 7d
forwardable = true
[realms]
FOO.COM = {
kdc = kdc-server.foo.com
admin_server = admin_server.foo.com
}
# Airflow Worker Config
workers:
# Number of airflow celery workers in StatefulSet
replicas: 1
# Max number of old replicasets to retain
revisionHistoryLimit: ~
# Command to use when running Airflow workers (templated).
command: ~
# Args to use when running Airflow workers (templated).
args:
- "bash"
- "-c"
# The format below is necessary to get `helm lint` happy
- |-
exec \
airflow {{ semverCompare ">=2.0.0" .Values.airflowVersion | ternary "celery worker" "worker" }}
# If the worker stops responding for 5 minutes (5*60s) kill the
# worker and let Kubernetes restart it
livenessProbe:
enabled: true
initialDelaySeconds: 10
timeoutSeconds: 20
failureThreshold: 5
periodSeconds: 60
command: ~
# Update Strategy when worker is deployed as a StatefulSet
updateStrategy: ~
# Update Strategy when worker is deployed as a Deployment
strategy:
rollingUpdate:
maxSurge: "100%"
maxUnavailable: "50%"
# Allow relaxing ordering guarantees while preserving its uniqueness and identity
# podManagementPolicy: Parallel
# When not set, the values defined in the global securityContext will be used
securityContext: {}
# runAsUser: 50000
# fsGroup: 0
# runAsGroup: 0
# Detailed default security context for worker deployments for container and pod level
securityContexts:
pod: {}
container: {}
# container level lifecycle hooks
containerLifecycleHooks: {}
# Create ServiceAccount
serviceAccount:
# default value is true
# ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/
automountServiceAccountToken: true
# Specifies whether a ServiceAccount should be created
create: true
# The name of the ServiceAccount to use.
# If not set and create is true, a name is generated using the release name
name: ~
# Annotations to add to worker kubernetes service account.
annotations: {}
# Allow KEDA autoscaling.
keda:
enabled: false
namespaceLabels: {}
# How often KEDA polls the airflow DB to report new scale requests to the HPA
pollingInterval: 5
# How many seconds KEDA will wait before scaling to zero.
# Note that HPA has a separate cooldown period for scale-downs
cooldownPeriod: 30
# Minimum number of workers created by keda
minReplicaCount: 0
# Maximum number of workers created by keda
maxReplicaCount: 10
# Specify HPA related options
advanced: {}
# horizontalPodAutoscalerConfig:
# behavior:
# scaleDown:
# stabilizationWindowSeconds: 300
# policies:
# - type: Percent
# value: 100
# periodSeconds: 15
# Query to use for KEDA autoscaling. Must return a single integer.
query: >-
SELECT ceil(COUNT(*)::decimal / {{ .Values.config.celery.worker_concurrency }})
FROM task_instance
WHERE (state='running' OR state='queued')
{{- if or (contains "CeleryKubernetesExecutor" .Values.executor)
(contains "KubernetesExecutor" .Values.executor) }}
AND queue != '{{ .Values.config.celery_kubernetes_executor.kubernetes_queue }}'
{{- end }}
# Weather to use PGBouncer to connect to the database or not when it is enabled
# This configuration will be ignored if PGBouncer is not enabled
usePgbouncer: true
# Allow HPA (KEDA must be disabled).
hpa:
enabled: false
# Minimum number of workers created by HPA
minReplicaCount: 0
# Maximum number of workers created by HPA
maxReplicaCount: 5
# Specifications for which to use to calculate the desired replica count
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 80
# Scaling behavior of the target in both Up and Down directions
behavior: {}
persistence:
# Enable persistent volumes
enabled: true
# This policy determines whether PVCs should be deleted when StatefulSet is scaled down or removed.
persistentVolumeClaimRetentionPolicy: ~
# persistentVolumeClaimRetentionPolicy:
# whenDeleted: Delete
# whenScaled: Delete
# Volume size for worker StatefulSet
size: 100Gi
# If using a custom storageClass, pass name ref to all statefulSets here
storageClassName:
# Execute init container to chown log directory.
# This is currently only needed in kind, due to usage
# of local-path provisioner.
fixPermissions: false
# Annotations to add to worker volumes
annotations: {}
# Detailed default security context for persistence for container level
securityContexts:
container: {}
# container level lifecycle hooks
containerLifecycleHooks: {}
kerberosSidecar:
# Enable kerberos sidecar
enabled: false
resources: {}
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
# Detailed default security context for kerberosSidecar for container level
securityContexts:
container: {}
# container level lifecycle hooks
containerLifecycleHooks: {}
kerberosInitContainer:
# Enable kerberos init container
enabled: false
resources: {}
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
resources: {}
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
# Grace period for tasks to finish after SIGTERM is sent from kubernetes
terminationGracePeriodSeconds: 600
# This setting tells kubernetes that its ok to evict
# when it wants to scale a node down.
safeToEvict: false
# Launch additional containers into worker (templated).
# Note: If used with KubernetesExecutor, you are responsible for signaling sidecars to exit when the main
# container finishes so Airflow can continue the worker shutdown process!
extraContainers: []
# Add additional init containers into workers (templated).
extraInitContainers: []
# Mount additional volumes into worker. It can be templated like in the following example:
# extraVolumes:
# - name: my-templated-extra-volume
# secret:
# secretName: '{{ include "my_secret_template" . }}'
# defaultMode: 0640
# optional: true
#
# extraVolumeMounts:
# - name: my-templated-extra-volume
# mountPath: "{{ .Values.my_custom_path }}"
# readOnly: true
extraVolumes: []
extraVolumeMounts: []
# Expose additional ports. These can be used for additional metric collection.
extraPorts: []
# Select certain nodes for airflow worker pods.
nodeSelector: {}
runtimeClassName: ~
priorityClassName: ~
affinity: {}
# default worker affinity is:
# podAntiAffinity:
# preferredDuringSchedulingIgnoredDuringExecution:
# - podAffinityTerm:
# labelSelector:
# matchLabels:
# component: worker
# topologyKey: kubernetes.io/hostname
# weight: 100
tolerations: []
topologySpreadConstraints: []
# hostAliases to use in worker pods.
# See:
# https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
hostAliases: []
# - ip: "127.0.0.2"
# hostnames:
# - "test.hostname.one"
# - ip: "127.0.0.3"
# hostnames:
# - "test.hostname.two"
# annotations for the worker resource
annotations: {}
podAnnotations: {}
# Labels specific to workers objects and pods
labels: {}
logGroomerSidecar:
# Whether to deploy the Airflow worker log groomer sidecar.
enabled: true
# Command to use when running the Airflow worker log groomer sidecar (templated).
command: ~
# Args to use when running the Airflow worker log groomer sidecar (templated).
args: ["bash", "/clean-logs"]
# Number of days to retain logs
retentionDays: 15
# frequency to attempt to groom logs, in minutes
frequencyMinutes: 15
resources: {}
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
# Detailed default security context for logGroomerSidecar for container level
securityContexts:
container: {}
env: []
waitForMigrations:
# Whether to create init container to wait for db migrations
enabled: true
env: []
# Detailed default security context for waitForMigrations for container level
securityContexts:
container: {}
env: []
volumeClaimTemplates: []
# Additional volumeClaimTemplates needed.
# Comment out the above and uncomment the section below to enable it.
# Add more as needed
# Make sure to mount it under extraVolumeMounts.
# volumeClaimTemplates:
# - metadata:
# name: data-volume-1
# spec:
# storageClassName: "storage-class-1"
# accessModes:
# - "ReadWriteOnce"
# resources:
# requests:
# storage: "10Gi"
# - metadata:
# name: data-volume-2
# spec:
# storageClassName: "storage-class-2"
# accessModes:
# - "ReadWriteOnce"
# resources:
# requests:
# storage: "20Gi"
# Airflow scheduler settings
scheduler:
enabled: true
# hostAliases for the scheduler pod
hostAliases: []
# - ip: "127.0.0.1"
# hostnames:
# - "foo.local"
# - ip: "10.1.2.3"
# hostnames:
# - "foo.remote"
# If the scheduler stops heartbeating for 5 minutes (5*60s) kill the
# scheduler and let Kubernetes restart it
livenessProbe:
initialDelaySeconds: 10
timeoutSeconds: 20
failureThreshold: 5
periodSeconds: 60
command: ~
# Wait for at most 1 minute (6*10s) for the scheduler container to startup.
# livenessProbe kicks in after the first successful startupProbe
startupProbe:
failureThreshold: 6
periodSeconds: 10
timeoutSeconds: 20
command: ~
# Airflow 2.0 allows users to run multiple schedulers,
# However this feature is only recommended for MySQL 8+ and Postgres
replicas: 1
# Max number of old replicasets to retain
revisionHistoryLimit: ~
# Command to use when running the Airflow scheduler (templated).
command: ~
# Args to use when running the Airflow scheduler (templated).
args: ["bash", "-c", "exec airflow scheduler"]
# Update Strategy when scheduler is deployed as a StatefulSet
# (when using LocalExecutor and workers.persistence)
updateStrategy: ~
# Update Strategy when scheduler is deployed as a Deployment
# (when not using LocalExecutor and workers.persistence)
strategy: ~
# When not set, the values defined in the global securityContext will be used
# (deprecated, use `securityContexts` instead)
securityContext: {}
# runAsUser: 50000
# fsGroup: 0
# runAsGroup: 0
# Detailed default security context for scheduler deployments for container and pod level
securityContexts:
pod: {}
container: {}
# container level lifecycle hooks
containerLifecycleHooks: {}
# Grace period for tasks to finish after SIGTERM is sent from kubernetes
terminationGracePeriodSeconds: 10
# Create ServiceAccount
serviceAccount:
# only affect CeleryExecutor, default value is true
# ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/
automountServiceAccountToken: true
# Specifies whether a ServiceAccount should be created
create: true
# The name of the ServiceAccount to use.
# If not set and create is true, a name is generated using the release name
name: ~
# Annotations to add to scheduler kubernetes service account.
annotations: {}
# Scheduler pod disruption budget
podDisruptionBudget:
enabled: false
# PDB configuration
config:
# minAvailable and maxUnavailable are mutually exclusive
maxUnavailable: 1
# minAvailable: 1
resources: {}
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
# This setting tells kubernetes that its ok to evict
# when it wants to scale a node down.
safeToEvict: true
# Launch additional containers into scheduler (templated).
extraContainers: []
# Add additional init containers into scheduler (templated).
extraInitContainers: []
# Mount additional volumes into scheduler. It can be templated like in the following example:
# extraVolumes:
# - name: my-templated-extra-volume
# secret:
# secretName: '{{ include "my_secret_template" . }}'
# defaultMode: 0640
# optional: true
#
# extraVolumeMounts:
# - name: my-templated-extra-volume
# mountPath: "{{ .Values.my_custom_path }}"
# readOnly: true
extraVolumes: []
extraVolumeMounts: []
# Select certain nodes for airflow scheduler pods.
nodeSelector: {}
affinity: {}
# default scheduler affinity is: