values.yaml

# 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.

# deploy a doris cluster
dorisCluster:
  # the name of doriscluster, if not set, the chart name will be used.
  name: "doriscluster-helm"
  # annotations for doris cluster.
  annotations: {}
  # specify the cn deploy or not.
  enabledCn: false
  # specify the broker deploy or not.
  enabledBroker: false
  # specify the doriscluster adminuser or not.
  # set adminUser will record the password in clear text. This method has been abandoned and is not recommended.
  # When adding adminuser. should follow the steps:
  # 1. Start dorisclusert without adminUser
  # 2. Run 'CREATE USER ...' or 'SET PASSWORD ...' in mysql client
  # 3. Add the name and password added in the previous step to adminUser and execute helm
  adminUser: {}
  # name: root
  # password: "12345"
  # Option 1: Reference an existing secret
  # Use this when you have created a secret outside of this Helm chart
  # Example: kubectl create secret generic doris-auth --type=kubernetes.io/basic-auth --from-literal=username=root --from-literal=password='your-password'
  authSecretName: ""
  # Example: authSecretName: "doris-auth"
  
  # Option 2: use authSecret can encrypt and save passwords
  # 1. run shell:  echo -n '{your_password}' | base64    to get password base64 string
  # 2. run shell:  echo -n '{your_user}' | base64        to get user base64 string
  # 3. Fill the encrypted string into the corresponding position
  # as follow, username is 'root' , password is 't0p-Secret'
  authSecret: {}
  # username: cm9vdA==
  # password: dDBwLVNlY3JldA==

feSpec:
  # annotations for fe pods and service
  annotations: {}
  replicas: 3
  # electionNumber represents `FOLLOWER` number, replicas - electionNumber as `OBSERVER`
  # electionNumber: 3
  # pod start timeout, unit is second.
  # startTimeout: 300
  # the pod labels for user select or classify pods.
  labels: {}
    # selectdb.app.classify: "classify-1"
  image:
    repository: apache/doris
    tag: fe-2.1.7
    # imagePullSecrets:
    # - name: imagePullSecret
  # config the service port for fe service.
  # if you want to use a dedicated port for fe service, you can config the port.
  # see https://kubernetes.io/docs/concepts/services-networking/service/#field-spec-ports for more details.
  service:
    # the fe service type, only supported ClusterIP, NodePort, LoadBalancer
    type: ClusterIP
    # type: NodePort
    # servicePorts:
    # - nodePort: 30001
    #   targetPort: 9030
    # - nodePort: 30002
    #   targetPort: 8030
    # the loadBalancerIP for static ip config when the type=LoadBalancer and loadbalancerIp is not empty.
    # type: "LoadBalancer"
    # loadbalancerIP: "127.0.0.1"
    # use LoadBalancer on cloud platform, try to configure it using annotations:
    annotations: {}
      # service.beta.kubernetes.io/alibaba-cloud-loadbalancer-address-type: "intranet"
  # specify the configMap, as a dictionary.
  # Its 'key' is the config file name in the doris 'doris_root_path/fe/conf/' file path,
  # Its 'value' is the text content of the corresponding file (it should be relatively long, actually).
  configMap: {}
    # 'fe.conf' is the startup config file of fe, and the name must be 'fe.conf'.
    # fe.conf: |
    #   http_port = 8030
    #   rpc_port = 9020
    #   query_port = 9030
    #   edit_log_port = 9010
    # Other config files can also be specified here
    # hdfs-site.xml: |
    #   <?xml version="1.0" encoding="UTF-8"?>
    #
    #   <configuration>
    #     <property>
    #       <name>dfs.nameservices</name>
    #       <value>ns</value>
    #     </property>
    #
    # mountConfigMaps supports configmap mounting in the form of specifying the mounting directory
    # but please note that the mounting path cannot be repeated.
    # if the elements within mountConfigMaps contain data, it means that the configmap does not need to be created manually by the user, and vice versa.
    # in the following example, the user needs to manually create configmap 'cm-1'
    # mountConfigMaps: {}
    # - configMapName: cm-1
    #   mountPath: /etc/cm1
    # - configMapName: cm-2
    #   mountPath: /etc/cm2
    #   data:
    #     copy_file1: |
    #       text *** content
    #     copy_file2: |
    #       text *** content

  # If configured separately here, it will overwrite the total resources configuration default.
  # but the default configuration of other types will still take effect.
  resource: {}
    # requests:
    #   cpu: 8
    #   memory: 16Gi
    # limits:
    #   cpu: 16
    #   memory: 32Gi
  # If specified, the pod's nodeSelector，displayName="Map of nodeSelectors to match when scheduling pods on nodes"
  nodeSelector: {}
    # kubernetes.io/arch: amd64
    # kubernetes.io/os: linux
    # app.kubernetes.node.name: "k8s-node1"
  # env represents an environment variable present in a Container.
  # 'name' of the environment variable. Must be a C_IDENTIFIER.
  # no more than one of the following may be specified: 'value' or 'valueFrom',
  # 'value' is the value of environment.
  # 'valueFrom' is source for the environment variable's value. Cannot be used if 'value' is not empty.
  env: []
  # - name: "HOME"
  #   value: "/opt/selectdb"
  # - name: HOST_IP
  #   valueFrom:
  #     fieldRef:
  #       apiVersion: v1
  #       fieldPath: status.hostIP

  # affinity is the constraints of pod scheduling
  # nodeAffinity: Describes node affinity scheduling rules for the pod.
  # podAffinity: Describes pod affinity scheduling rules (e.g. co-locate this pod in the same node, zone, etc. as some other pod(s)).
  # PodAntiAffinity: Describes pod anti-affinity scheduling rules (e.g. avoid putting this pod in the same node, zone, etc. as some other pod(s)).
  # reference: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  affinity: {}
    # nodeAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "In"
    #           values:
    #             - "k8s-node1"
    #                 "k8s-node2"
    # podAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "In"
    #           values:
    #             - "fe1"
    #                 "fe2"
    # podAntiAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "NotIn"
    #           values:
    #             - "fe1"
    #               "fe2"

  # the pod this Toleration is attached to tolerates any taint that matches. Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  # the triple <key,value,effect> using the matching operator <operator>.
  # 'key' is the taint key that the toleration applies to. Empty means match all taint keys. if the 'key' is empty, 'operator' must be Exists; this combination means to match all values and all keys.
  # 'operator' represents a key's relationship to the 'value'. Valid operators are Exists and Equal. Defaults to Equal. Exists is equivalent to wildcard for value, so that a pod can tolerate all taints of a particular category.
  # 'value' is the taint value the toleration matches to. If the 'operator' is Exists, the 'value' should be empty, otherwise just a regular string.
  # 'effect' indicates the taint effect to match. Empty means match all taint effects. When specified, allowed values are NoSchedule, PreferNoSchedule and NoExecute.
  tolerations: []
  # - key: "toleration"
  #   operator: "Equal"
  #   value: "master"
  # - key: "node-role.kubernetes.io/master"
  #   operator: "Exists"
  #   effect: "NoSchedule"
  # - operator: "Exists"

  # hostAliases allows adding entries to /etc/hosts inside the containers
  hostAliases: []
  # If doris use hdfs or catalog, config the map of namenode host here is beneficial
  # - ip: "127.0.0.1"
  #   hostnames:
  #   - "hostname1"
  # - ip: "127.0.0.2"
  #   hostnames:
  #   - "hostname2"
  persistentVolumeClaim: {}
    # meta volume, mountPath is /opt/apache-doris/fe/doris-meta
    # metaPersistentVolume:
    #   storage: 200Gi
    # when use specific storageclass, the storageClassName should reConfig, example as annotation.
    #   storageClassName: ""
    # logs volume, mountPath is /opt/apache-doris/fe/log
    # logsPersistentVolume:
    #   storage: 100Gi
    # when use specific storageclass, the storageClassName should reConfig, example as annotation.
    #   storageClassName: ""
  systemInitialization: {}
    # initImage: "selectdb/alpine:latest"
    # command: [ "/sbin/sysctl", "-w", "vm.max_map_count=2000000" ]

beSpec:
  # annotations for be pods and service
  annotations: {}
  replicas: 3
  # pod start timeout, unit is second.
  # startTimeout: 300
  # the pod labels for user select or classify pods.
  labels: {}
    # selectdb.app.classify: "classify-1"
  image:
    repository: apache/doris
    tag: be-2.1.7
    # imagePullSecrets:
    # - name: imagePullSecret
  # config the service port for be service.
  # if you want to use a dedicated port for be service, you can config the port.
  # see https://kubernetes.io/docs/concepts/services-networking/service/#field-spec-ports for more details.
  service:
    # the be service type, only supported ClusterIP, NodePort, LoadBalancer
    type: ClusterIP
    # type: NodePort
    # servicePorts:
    # - nodePort: 30003
    #   targetPort: 9040
    # - nodePort: 30004
    #   targetPort: 8040
    # the loadBalancerIP for static ip config when the type=LoadBalancer and loadbalancerIp is not empty.
    # type: "LoadBalancer"
    # loadbalancerIP: "127.0.0.1"
    # use LoadBalancer on cloud platform, try to configure it using annotations
    annotations: {}
      # service.beta.kubernetes.io/alibaba-cloud-loadbalancer-address-type: "intranet"
  # specify the configMap, as a dictionary.
  # Its 'key' is the config file name in the doris 'doris_root_path/fe/conf/' file path,
  # Its 'value' is the text content of the corresponding file (it should be relatively long, actually).
  configMap: {}
    # 'be.conf' is the startup config file of be, and the name must be 'be.conf'.
    # be.conf: |
    #   be_port = 9060
    #   webserver_port = 8040
    #   heartbeat_service_port = 9050
    #   brpc_port = 8060
    #   storage_root_path = /data/doris/be/storage
    # Other config files can also be specified here
    # hdfs-site.xml: |
    #   <?xml version="1.0" encoding="UTF-8"?>
    #
    #   <configuration>
    #     <property>
    #       <name>dfs.nameservices</name>
    #       <value>ns</value>
    #     </property>
    #
    # mountConfigMaps supports configmap mounting in the form of specifying the mounting directory
    # but please note that the mounting path cannot be repeated.
    # if the elements within mountConfigMaps contain data, it means that the configmap does not need to be created manually by the user, and vice versa.
    # in the following example, the user needs to manually create configmap 'cm-1'
    # mountConfigMaps: {}
    # - configMapName: cm-1
    #   mountPath: /etc/cm1
    # - configMapName: cm-2
    #   mountPath: /etc/cm2
    #   data:
    #     copy_file1: |
    #       text *** content
    #     copy_file2: |
    #       text *** content

  # If configured separately here, it will overwrite the total resources configuration default.
  # but the default configuration of other types will still take effect.
  resource: {}
    # requests:
    #   cpu: 8
    #   memory: 16Gi
    # limits:
    #   cpu: 16
    #   memory: 32Gi
  # If specified, the pod's nodeSelector，displayName="Map of nodeSelectors to match when scheduling pods on nodes"
  nodeSelector: {}
    # kubernetes.io/arch: amd64
    # kubernetes.io/os: linux
    # app.kubernetes.node.name: "k8s-node1"
  # env represents an environment variable present in a Container.
  # 'name' of the environment variable. Must be a C_IDENTIFIER.
  # no more than one of the following may be specified: 'value' or 'valueFrom',
  # 'value' is the value of environment.
  # 'valueFrom' is source for the environment variable's value. Cannot be used if 'value' is not empty.
  env: []
  # - name: "HOME"
  #   value: "/opt/selectdb"
  # - name: HOST_IP
  #   valueFrom:
  #     fieldRef:
  #       apiVersion: v1
  #       fieldPath: status.hostIP

  # affinity is the constraints of pod scheduling
  # nodeAffinity: Describes node affinity scheduling rules for the pod.
  # podAffinity: Describes pod affinity scheduling rules (e.g. co-locate this pod in the same node, zone, etc. as some other pod(s)).
  # PodAntiAffinity: Describes pod anti-affinity scheduling rules (e.g. avoid putting this pod in the same node, zone, etc. as some other pod(s)).
  # reference: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  affinity: {}
    # nodeAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "In"
    #           values:
    #             - "k8s-node1"
    #                 "k8s-node2"
    # podAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "In"
    #           values:
    #             - "fe1"
    #                 "fe2"
    # podAntiAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "NotIn"
    #           values:
    #             - "fe1"
    #               "fe2"

  # the pod this Toleration is attached to tolerates any taint that matches. Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  # the triple <key,value,effect> using the matching operator <operator>.
  # 'key' is the taint key that the toleration applies to. Empty means match all taint keys. if the 'key' is empty, 'operator' must be Exists; this combination means to match all values and all keys.
  # 'operator' represents a key's relationship to the 'value'. Valid operators are Exists and Equal. Defaults to Equal. Exists is equivalent to wildcard for value, so that a pod can tolerate all taints of a particular category.
  # 'value' is the taint value the toleration matches to. If the 'operator' is Exists, the 'value' should be empty, otherwise just a regular string.
  # 'effect' indicates the taint effect to match. Empty means match all taint effects. When specified, allowed values are NoSchedule, PreferNoSchedule and NoExecute.
  tolerations: []
  # - key: "toleration"
  #   operator: "Equal"
  #   value: "master"
  # - key: "node-role.kubernetes.io/master"
  #   operator: "Exists"
  #   effect: "NoSchedule"
  # - operator: "Exists"

  # hostAliases allows adding entries to /etc/hosts inside the containers
  hostAliases: []
  # If doris use hdfs or catalog, config the map of namenode host here is beneficial
  # - ip: "127.0.0.1"
  #   hostnames:
  #   - "hostname1"
  # - ip: "127.0.0.2"
  #   hostnames:
  #   - "hostname2"
  persistentVolumeClaim: {}
    # data volume, mountPath is /opt/apache-doris/be/storage
    # dataPersistentVolume:
    #   storage: 200Gi
    # when use specific storageclass, the storageClassName should reConfig, example as annotation.
    #   storageClassName: ""
    # logs volume, mountPath is /opt/apache-doris/be/log
    # logsPersistentVolume:
    #   storage: 100Gi
    # when use specific storageclass, the storageClassName should reConfig, example as annotation.
    #   storageClassName: ""
  systemInitialization: {}
    # initImage: "selectdb/alpine:latest"
    # command: [ "/sbin/sysctl", "-w", "vm.max_map_count=2000000" ]

cnSpec:
  # annotations for cn pods and service
  annotations: {}
  replicas: 3
  # pod start timeout, unit is second.
  # startTimeout: 300
  # the pod labels for user select or classify pods.
  labels: {}
    # selectdb.app.classify: "classify-1"
  image:
    repository: apache/doris
    tag: be-2.1.7
    # imagePullSecrets:
    # - name: imagePullSecret
  # config the service port for cn service.
  # if you want to use a dedicated port for cn service, you can config the port.
  # see https://kubernetes.io/docs/concepts/services-networking/service/#field-spec-ports for more details.
  service:
    # the cn service type, only supported ClusterIP, NodePort, LoadBalancer
    type: ClusterIP
    # type: NodePort
    # servicePorts:
    # - nodePort: 30005
    #   targetPort: 9040
    # - nodePort: 30006
    #   targetPort: 8040
    # type: "LoadBalancer"
    # the loadBalancerIP for static ip config when the type=LoadBalancer and loadbalancerIp is not empty.
    # loadbalancerIP: "127.0.0.1"
    # use LoadBalancer on cloud platform, try to configure it using annotations
    annotations: {}
      # service.beta.kubernetes.io/alibaba-cloud-loadbalancer-address-type: "intranet"
  # specify the configMap, as a dictionary.
  # Its 'key' is the config file name in the doris 'doris_root_path/fe/conf/' file path,
  # Its 'value' is the text content of the corresponding file (it should be relatively long, actually).
  configMap: {}
    # 'be.conf' is the startup config file of cn, and the name must be 'be.conf'.
    # be.conf: |
    #   be_port = 9060
    #   webserver_port = 8040
    #   heartbeat_service_port = 9050
    #   brpc_port = 8060
    #   storage_root_path = /data/doris/be/storage
    #   be_node_role=computation
    # Other config files can also be specified here
    # hdfs-site.xml: |
    #   <?xml version="1.0" encoding="UTF-8"?>
    #
    #   <configuration>
    #     <property>
    #       <name>dfs.nameservices</name>
    #       <value>ns</value>
    #     </property>
    #
    # mountConfigMaps supports configmap mounting in the form of specifying the mounting directory
    # but please note that the mounting path cannot be repeated.
    # if the elements within mountConfigMaps contain data, it means that the configmap does not need to be created manually by the user, and vice versa.
    # in the following example, the user needs to manually create configmap 'cm-1'
    # mountConfigMaps: {}
    # - configMapName: cm-1
    #   mountPath: /etc/cm1
    # - configMapName: cm-2
    #   mountPath: /etc/cm2
    #   data:
    #     copy_file1: |
    #       text *** content
    #     copy_file2: |
    #       text *** content

  # If configured separately here, it will overwrite the total resources configuration default.
  # but the default configuration of other types will still take effect.
  resource: {}
    # requests:
    #   cpu: 8
    #   memory: 16Gi
    # limits:
    #   cpu: 16
    #   memory: 32Gi
  # If specified, the pod's nodeSelector，displayName="Map of nodeSelectors to match when scheduling pods on nodes"
  nodeSelector: {}
    # kubernetes.io/arch: amd64
    # kubernetes.io/os: linux
    # app.kubernetes.node.name: "k8s-node1"
  # env represents an environment variable present in a Container.
  # 'name' of the environment variable. Must be a C_IDENTIFIER.
  # no more than one of the following may be specified: 'value' or 'valueFrom',
  # 'value' is the value of environment.
  # 'valueFrom' is source for the environment variable's value. Cannot be used if 'value' is not empty.
  env: []
  # - name: "HOME"
  #   value: "/opt/selectdb"
  # - name: HOST_IP
  #   valueFrom:
  #     fieldRef:
  #       apiVersion: v1
  #       fieldPath: status.hostIP

  # affinity is the constraints of pod scheduling
  # nodeAffinity: Describes node affinity scheduling rules for the pod.
  # podAffinity: Describes pod affinity scheduling rules (e.g. co-locate this pod in the same node, zone, etc. as some other pod(s)).
  # PodAntiAffinity: Describes pod anti-affinity scheduling rules (e.g. avoid putting this pod in the same node, zone, etc. as some other pod(s)).
  # reference: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  affinity: {}
    # nodeAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "In"
    #           values:
    #             - "k8s-node1"
    #                 "k8s-node2"
    # podAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "In"
    #           values:
    #             - "fe1"
    #                 "fe2"
    # podAntiAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "NotIn"
    #           values:
    #             - "fe1"
    #               "fe2"

  # the pod this Toleration is attached to tolerates any taint that matches. Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  # the triple <key,value,effect> using the matching operator <operator>.
  # 'key' is the taint key that the toleration applies to. Empty means match all taint keys. if the 'key' is empty, 'operator' must be Exists; this combination means to match all values and all keys.
  # 'operator' represents a key's relationship to the 'value'. Valid operators are Exists and Equal. Defaults to Equal. Exists is equivalent to wildcard for value, so that a pod can tolerate all taints of a particular category.
  # 'value' is the taint value the toleration matches to. If the 'operator' is Exists, the 'value' should be empty, otherwise just a regular string.
  # 'effect' indicates the taint effect to match. Empty means match all taint effects. When specified, allowed values are NoSchedule, PreferNoSchedule and NoExecute.
  tolerations: []
  # - key: "toleration"
  #   operator: "Equal"
  #   value: "master"
  # - key: "node-role.kubernetes.io/master"
  #   operator: "Exists"
  #   effect: "NoSchedule"
  # - operator: "Exists"

  # hostAliases allows adding entries to /etc/hosts inside the containers
  hostAliases: []
  # If doris use hdfs or catalog, config the map of namenode host here is beneficial
  # - ip: "127.0.0.1"
  #   hostnames:
  #   - "hostname1"
  # - ip: "127.0.0.2"
  #   hostnames:
  #   - "hostname2"
  persistentVolumeClaim: {}
    # data volume, mountPath is /opt/apache-doris/be/storage
    # dataPersistentVolume:
    #   storage: 200Gi
    # when use specific storageclass, the storageClassName should reConfig, example as annotation.
    #   storageClassName: ""
    # logs volume, mountPath is /opt/apache-doris/be/log
    # logsPersistentVolume:
    #   storage: 100Gi
    # when use specific storageclass, the storageClassName should reConfig, example as annotation.
    #   storageClassName: ""
  systemInitialization: {}
    # initImage: "selectdb/alpine:latest"
    # command: [ "/sbin/sysctl", "-w", "vm.max_map_count=2000000" ]
  # specific cn auto scale policy
  autoScalingPolicy:
    enable: true
    # version: v2
    minReplicas: 1
    maxReplicas: 4
    # hpaPolicy response to horizontlaPodAutoscaler's HorizontalPodAutoscalerSpec
    hpaPolicy: {}
      # metrics:
      # - type: Resource
      #   resource:
      #     name: cpu
      #     target:
      #       type: Utilization
      #       averageUtilization: 30

brokerSpec:
  # annotations for broker pods and service
  annotations: {}
  replicas: 3
  # pod start timeout, unit is second.
  # startTimeout: 300
  # the pod labels for user select or classify pods.
  labels: {}
    # selectdb.app.classify: "classify-1"
  image:
    repository: apache/doris
    tag: broker-2.1.7
    # imagePullSecrets:
    # - name: imagePullSecret
  # specify the configMap, as a dictionary.
  # Its 'key' is the config file name in the doris 'doris_root_path/fe/conf/' file path,
  # Its 'value' is the text content of the corresponding file (it should be relatively long, actually).
  configMap: {}
    # 'apache_hdfs_broker.conf' is the startup config file of broker, and the name must be 'apache_hdfs_broker.conf'.
    # apache_hdfs_broker.conf: |
    #   broker_ipc_port: 8000
    #   client_expire_seconds: 3600
    # Other config files can also be specified here
    # hdfs-site.xml: |
    #   <?xml version="1.0" encoding="UTF-8"?>
    #
    #   <configuration>
    #     <property>
    #       <name>dfs.nameservices</name>
    #       <value>ns</value>
    #     </property>
    #
    # mountConfigMaps supports configmap mounting in the form of specifying the mounting directory
    # but please note that the mounting path cannot be repeated.
    # if the elements within mountConfigMaps contain data, it means that the configmap does not need to be created manually by the user, and vice versa.
    # in the following example, the user needs to manually create configmap 'cm-1'
    # mountConfigMaps: {}
    # - configMapName: cm-1
    #   mountPath: /etc/cm1
    # - configMapName: cm-2
    #   mountPath: /etc/cm2
    #   data:
    #     copy_file1: |
    #       text *** content
    #     copy_file2: |
    #       text *** content

  # If configured separately here, it will overwrite the total resources configuration default.
  # but the default configuration of other types will still take effect.
  resource: {}
    # requests:
    #   cpu: 8
    #   memory: 16Gi
    # limits:
    #   cpu: 16
    #   memory: 32Gi
  # If specified, the pod's nodeSelector，displayName="Map of nodeSelectors to match when scheduling pods on nodes"
  nodeSelector: {}
    # kubernetes.io/arch: amd64
    # kubernetes.io/os: linux
    # app.kubernetes.node.name: "k8s-node1"
  # env represents an environment variable present in a Container.
  # 'name' of the environment variable. Must be a C_IDENTIFIER.
  # no more than one of the following may be specified: 'value' or 'valueFrom',
  # 'value' is the value of environment.
  # 'valueFrom' is source for the environment variable's value. Cannot be used if 'value' is not empty.
  env: []
  # - name: "HOME"
  #   value: "/opt/selectdb"
  # - name: HOST_IP
  #   valueFrom:
  #     fieldRef:
  #       apiVersion: v1
  #       fieldPath: status.hostIP

  # affinity is the constraints of pod scheduling
  # nodeAffinity: Describes node affinity scheduling rules for the pod.
  # podAffinity: Describes pod affinity scheduling rules (e.g. co-locate this pod in the same node, zone, etc. as some other pod(s)).
  # PodAntiAffinity: Describes pod anti-affinity scheduling rules (e.g. avoid putting this pod in the same node, zone, etc. as some other pod(s)).
  # reference: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  affinity: {}
    # nodeAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "In"
    #           values:
    #             - "k8s-node1"
    #                 "k8s-node2"
    # podAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "In"
    #           values:
    #             - "fe1"
    #                 "fe2"
    # podAntiAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #       - matchExpressions:
    #           key: "app.kubernetes.node.name"
    #           operator: "NotIn"
    #           values:
    #             - "fe1"
    #                 "fe2"

  # the pod this Toleration is attached to tolerates any taint that matches. Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  # the triple <key,value,effect> using the matching operator <operator>.
  # 'key' is the taint key that the toleration applies to. Empty means match all taint keys. if the 'key' is empty, 'operator' must be Exists; this combination means to match all values and all keys.
  # 'operator' represents a key's relationship to the 'value'. Valid operators are Exists and Equal. Defaults to Equal. Exists is equivalent to wildcard for value, so that a pod can tolerate all taints of a particular category.
  # 'value' is the taint value the toleration matches to. If the 'operator' is Exists, the 'value' should be empty, otherwise just a regular string.
  # 'effect' indicates the taint effect to match. Empty means match all taint effects. When specified, allowed values are NoSchedule, PreferNoSchedule and NoExecute.
  tolerations: []
  # - key: "toleration"
  #   operator: "Equal"
  #   value: "master"
  # - key: "node-role.kubernetes.io/master"
  #   operator: "Exists"
  #   effect: "NoSchedule"
  # - operator: "Exists"

  # hostAliases allows adding entries to /etc/hosts inside the containers
  hostAliases: []
  # If doris use hdfs or catalog, config the map of namenode host here is beneficial
  # - ip: "127.0.0.1"
  #   hostnames:
  #   - "hostname1"
  # - ip: "127.0.0.2"
  #   hostnames:
  #   - "hostname2"
  persistentVolumeClaim: {}
    # logs volume, mountPath is /opt/apache-doris/apache_hdfs_broker/log
    # logsPersistentVolume:
    #   storage: 100Gi
    # when use specific storageclass, the storageClassName should reConfig, example as annotation.
    #   storageClassName: ""
  systemInitialization: {}
    # initImage: "selectdb/alpine:latest"
    # command: [ "/sbin/sysctl", "-w", "vm.max_map_count=2000000" ]