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678 lines
27 KiB
678 lines
27 KiB
# |
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# Licensed to the Apache Software Foundation (ASF) under one or more |
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# contributor license agreements. See the NOTICE file distributed with |
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# this work for additional information regarding copyright ownership. |
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# The ASF licenses this file to You under the Apache License, Version 2.0 |
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# (the "License"); you may not use this file except in compliance with |
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# the License. You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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# |
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# Default values for dolphinscheduler-chart. |
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# This is a YAML-formatted file. |
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# Declare variables to be passed into your templates. |
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timezone: "Asia/Shanghai" |
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# Used to detect whether dolphinscheduler dependent services such as database are ready |
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initImage: |
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pullPolicy: "IfNotPresent" |
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busybox: "busybox:1.30.1" |
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image: |
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registry: "dolphinscheduler.docker.scarf.sh/apache" |
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tag: "dev-SNAPSHOT" |
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pullPolicy: "IfNotPresent" |
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pullSecret: "" |
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master: dolphinscheduler-master |
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worker: dolphinscheduler-worker |
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api: dolphinscheduler-api |
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alert: dolphinscheduler-alert-server |
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tools: dolphinscheduler-tools |
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## If not exists external database, by default, Dolphinscheduler's database will use it. |
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postgresql: |
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enabled: true |
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postgresqlUsername: "root" |
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postgresqlPassword: "root" |
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postgresqlDatabase: "dolphinscheduler" |
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driverClassName: "org.postgresql.Driver" |
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params: "characterEncoding=utf8" |
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persistence: |
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enabled: false |
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size: "20Gi" |
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storageClass: "-" |
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mysql: |
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enabled: false |
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driverClassName: "com.mysql.cj.jdbc.Driver" |
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auth: |
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username: "ds" |
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password: "ds" |
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database: "dolphinscheduler" |
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params: "characterEncoding=utf8" |
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primary: |
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persistence: |
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enabled: false |
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size: "20Gi" |
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storageClass: "-" |
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minio: |
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enabled: true |
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auth: |
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rootUser: minioadmin |
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rootPassword: minioadmin |
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persistence: |
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enabled: false |
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defaultBuckets: "dolphinscheduler" |
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## If exists external database, and set postgresql.enable value to false. |
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## external database will be used, otherwise Dolphinscheduler's database will be used. |
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externalDatabase: |
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enabled: false |
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type: "postgresql" |
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host: "localhost" |
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port: "5432" |
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username: "root" |
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password: "root" |
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database: "dolphinscheduler" |
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params: "characterEncoding=utf8" |
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driverClassName: "org.postgresql.Driver" |
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## If not exists external registry, the zookeeper registry will be used by default. |
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zookeeper: |
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enabled: true |
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service: |
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port: 2181 |
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fourlwCommandsWhitelist: "srvr,ruok,wchs,cons" |
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persistence: |
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enabled: false |
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size: "20Gi" |
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storageClass: "-" |
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etcd: |
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enabled: false |
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endpoints: "" |
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namespace: "dolphinscheduler" |
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user: "" |
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passWord: "" |
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authority: "" |
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# Please create a new folder: deploy/kubernetes/dolphinscheduler/etcd-certs |
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ssl: |
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enabled: false |
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certFile: "etcd-certs/ca.crt" |
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keyCertChainFile: "etcd-certs/client.crt" |
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keyFile: "etcd-certs/client.pem" |
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## If exists external registry and set zookeeper.enable value to false, the external registry will be used. |
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externalRegistry: |
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registryPluginName: "zookeeper" |
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registryServers: "127.0.0.1:2181" |
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security: |
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authentication: |
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type: PASSWORD |
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ldap: |
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urls: ldap://ldap.forumsys.com:389/ |
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basedn: dc=example,dc=com |
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username: cn=read-only-admin,dc=example,dc=com |
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password: password |
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user: |
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admin: read-only-admin |
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identityattribute: uid |
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emailattribute: mail |
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notexistaction: CREATE |
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ssl: |
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enable: false |
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# do not change this value |
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truststore: "/opt/ldapkeystore.jks" |
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# if you use macOS, please run `base64 -b 0 -i /path/to/your.jks` |
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# if you use Linux, please run `base64 -w 0 /path/to/your.jks` |
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# if you use Windows, please run `certutil -f -encode /path/to/your.jks` |
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# Then copy the base64 content to below field in one line |
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jksbase64content: "" |
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truststorepassword: "" |
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conf: |
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common: |
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# user data local directory path, please make sure the directory exists and have read write permissions |
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data.basedir.path: /tmp/dolphinscheduler |
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# resource storage type: HDFS, S3, OSS, GCS, ABS, NONE |
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resource.storage.type: S3 |
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# resource store on HDFS/S3 path, resource file will store to this base path, self configuration, please make sure the directory exists on hdfs and have read write permissions. "/dolphinscheduler" is recommended |
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resource.storage.upload.base.path: /dolphinscheduler |
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# The AWS access key. if resource.storage.type=S3 or use EMR-Task, This configuration is required |
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resource.aws.access.key.id: minioadmin |
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# The AWS secret access key. if resource.storage.type=S3 or use EMR-Task, This configuration is required |
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resource.aws.secret.access.key: minioadmin |
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# The AWS Region to use. if resource.storage.type=S3 or use EMR-Task, This configuration is required |
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resource.aws.region: ca-central-1 |
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# The name of the bucket. You need to create them by yourself. Otherwise, the system cannot start. All buckets in Amazon S3 share a single namespace; ensure the bucket is given a unique name. |
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resource.aws.s3.bucket.name: dolphinscheduler |
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# You need to set this parameter when private cloud s3. If S3 uses public cloud, you only need to set resource.aws.region or set to the endpoint of a public cloud such as S3.cn-north-1.amazonaws.com.cn |
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resource.aws.s3.endpoint: http://minio:9000 |
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# alibaba cloud access key id, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.access.key.id: <your-access-key-id> |
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# alibaba cloud access key secret, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.access.key.secret: <your-access-key-secret> |
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# alibaba cloud region, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.region: cn-hangzhou |
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# oss bucket name, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.oss.bucket.name: dolphinscheduler |
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# oss bucket endpoint, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.oss.endpoint: https://oss-cn-hangzhou.aliyuncs.com |
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# azure storage account name, required if you set resource.storage.type=ABS |
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resource.azure.client.id: minioadmin |
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# azure storage account key, required if you set resource.storage.type=ABS |
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resource.azure.client.secret: minioadmin |
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# azure storage subId, required if you set resource.storage.type=ABS |
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resource.azure.subId: minioadmin |
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# azure storage tenantId, required if you set resource.storage.type=ABS |
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resource.azure.tenant.id: minioadmin |
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# if resource.storage.type=HDFS, the user must have the permission to create directories under the HDFS root path |
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resource.hdfs.root.user: hdfs |
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# if resource.storage.type=S3, the value like: s3a://dolphinscheduler; if resource.storage.type=HDFS and namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir |
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resource.hdfs.fs.defaultFS: hdfs://mycluster:8020 |
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# whether to startup kerberos |
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hadoop.security.authentication.startup.state: false |
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# java.security.krb5.conf path |
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java.security.krb5.conf.path: /opt/krb5.conf |
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# login user from keytab username |
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login.user.keytab.username: hdfs-mycluster@ESZ.COM |
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# login user from keytab path |
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login.user.keytab.path: /opt/hdfs.headless.keytab |
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# kerberos expire time, the unit is hour |
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kerberos.expire.time: 2 |
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# resourcemanager port, the default value is 8088 if not specified |
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resource.manager.httpaddress.port: 8088 |
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# if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single, keep this value empty |
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yarn.resourcemanager.ha.rm.ids: 192.168.xx.xx,192.168.xx.xx |
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# if resourcemanager HA is enabled or not use resourcemanager, please keep the default value; If resourcemanager is single, you only need to replace ds1 to actual resourcemanager hostname |
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yarn.application.status.address: http://ds1:%s/ws/v1/cluster/apps/%s |
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# job history status url when application number threshold is reached(default 10000, maybe it was set to 1000) |
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yarn.job.history.status.address: http://ds1:19888/ws/v1/history/mapreduce/jobs/%s |
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# datasource encryption enable |
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datasource.encryption.enable: false |
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# datasource encryption salt |
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datasource.encryption.salt: '!@#$%^&*' |
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# data quality option |
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data-quality.jar.name: dolphinscheduler-data-quality-dev-SNAPSHOT.jar |
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# Whether hive SQL is executed in the same session |
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support.hive.oneSession: false |
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# use sudo or not, if set true, executing user is tenant user and deploy user needs sudo permissions; if set false, executing user is the deploy user and doesn't need sudo permissions |
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sudo.enable: true |
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# development state |
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development.state: false |
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# rpc port |
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alert.rpc.port: 50052 |
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# set path of conda.sh |
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conda.path: /opt/anaconda3/etc/profile.d/conda.sh |
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# Task resource limit state |
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task.resource.limit.state: false |
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# mlflow task plugin preset repository |
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ml.mlflow.preset_repository: https://github.com/apache/dolphinscheduler-mlflow |
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# mlflow task plugin preset repository version |
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ml.mlflow.preset_repository_version: "main" |
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# way to collect applicationId: log, aop |
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appId.collect: log |
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common: |
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## Configmap |
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configmap: |
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DOLPHINSCHEDULER_OPTS: "" |
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DATA_BASEDIR_PATH: "/tmp/dolphinscheduler" |
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RESOURCE_UPLOAD_PATH: "/dolphinscheduler" |
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# dolphinscheduler env |
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HADOOP_HOME: "/opt/soft/hadoop" |
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HADOOP_CONF_DIR: "/opt/soft/hadoop/etc/hadoop" |
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SPARK_HOME: "/opt/soft/spark" |
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PYTHON_LAUNCHER: "/usr/bin/python/bin/python3" |
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JAVA_HOME: "/opt/java/openjdk" |
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HIVE_HOME: "/opt/soft/hive" |
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FLINK_HOME: "/opt/soft/flink" |
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DATAX_LAUNCHER: "/opt/soft/datax/bin/datax.py" |
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## Shared storage persistence mounted into api, master and worker, such as Hadoop, Spark, Flink and DataX binary package |
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sharedStoragePersistence: |
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enabled: false |
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mountPath: "/opt/soft" |
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accessModes: |
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- "ReadWriteMany" |
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## storageClassName must support the access mode: ReadWriteMany |
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storageClassName: "-" |
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storage: "20Gi" |
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## If RESOURCE_STORAGE_TYPE is HDFS and FS_DEFAULT_FS is file:///, fsFileResourcePersistence should be enabled for resource storage |
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fsFileResourcePersistence: |
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enabled: false |
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accessModes: |
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- "ReadWriteMany" |
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## storageClassName must support the access mode: ReadWriteMany |
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storageClassName: "-" |
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storage: "20Gi" |
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master: |
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## PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down. |
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podManagementPolicy: "Parallel" |
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## Replicas is the desired number of replicas of the given Template. |
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replicas: "3" |
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## You can use annotations to attach arbitrary non-identifying metadata to objects. |
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## Clients such as tools and libraries can retrieve this metadata. |
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annotations: {} |
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## Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints. |
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## More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core |
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affinity: {} |
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## NodeSelector is a selector which must be true for the pod to fit on a node. |
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## Selector which must match a node's labels for the pod to be scheduled on that node. |
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## More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/ |
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nodeSelector: {} |
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## Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission, |
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## effectively unioning the set of nodes tolerated by the pod and the RuntimeClass. |
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tolerations: [] |
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## Compute Resources required by this container. Cannot be updated. |
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## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container |
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resources: {} |
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# resources: |
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# limits: |
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# memory: "8Gi" |
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# cpu: "4" |
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# requests: |
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# memory: "2Gi" |
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# cpu: "500m" |
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## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated. |
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## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes |
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livenessProbe: |
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enabled: true |
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initialDelaySeconds: "30" |
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periodSeconds: "30" |
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timeoutSeconds: "5" |
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failureThreshold: "3" |
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successThreshold: "1" |
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## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated. |
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## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes |
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readinessProbe: |
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enabled: true |
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initialDelaySeconds: "30" |
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periodSeconds: "30" |
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timeoutSeconds: "5" |
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failureThreshold: "3" |
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successThreshold: "1" |
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## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace. |
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## The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod. |
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## Every claim in this list must have at least one matching (by name) volumeMount in one container in the template. |
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## A claim in this list takes precedence over any volumes in the template, with the same name. |
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persistentVolumeClaim: |
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enabled: false |
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accessModes: |
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- "ReadWriteOnce" |
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storageClassName: "-" |
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storage: "20Gi" |
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env: |
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JAVA_OPTS: "-Xms1g -Xmx1g -Xmn512m" |
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MASTER_EXEC_THREADS: "100" |
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MASTER_EXEC_TASK_NUM: "20" |
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MASTER_DISPATCH_TASK_NUM: "3" |
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MASTER_HOST_SELECTOR: "LowerWeight" |
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MASTER_HEARTBEAT_INTERVAL: "10s" |
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MASTER_HEARTBEAT_ERROR_THRESHOLD: "5" |
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MASTER_TASK_COMMIT_RETRYTIMES: "5" |
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MASTER_TASK_COMMIT_INTERVAL: "1s" |
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MASTER_STATE_WHEEL_INTERVAL: "5s" |
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MASTER_MAX_CPU_LOAD_AVG: "1" |
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MASTER_RESERVED_MEMORY: "0.3" |
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MASTER_FAILOVER_INTERVAL: "10m" |
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MASTER_KILL_APPLICATION_WHEN_HANDLE_FAILOVER: "true" |
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service: |
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# annotations may need to be set when want to scrapy metrics by prometheus but not install prometheus operator |
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annotations: {} |
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# serviceMonitor for prometheus operator |
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serviceMonitor: |
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# -- Enable or disable master serviceMonitor |
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enabled: false |
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# -- @param serviceMonitor.interval interval at which metrics should be scraped |
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interval: 15s |
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# -- @param serviceMonitor.path path of the metrics endpoint |
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path: /actuator/prometheus |
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# -- @param serviceMonitor.labels ServiceMonitor extra labels |
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labels: {} |
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# -- @param serviceMonitor.annotations ServiceMonitor annotations |
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annotations: {} |
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worker: |
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## PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down. |
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podManagementPolicy: "Parallel" |
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## Replicas is the desired number of replicas of the given Template. |
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replicas: "3" |
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## You can use annotations to attach arbitrary non-identifying metadata to objects. |
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## Clients such as tools and libraries can retrieve this metadata. |
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annotations: {} |
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## Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints. |
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## More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core |
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affinity: {} |
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## NodeSelector is a selector which must be true for the pod to fit on a node. |
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## Selector which must match a node's labels for the pod to be scheduled on that node. |
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## More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/ |
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nodeSelector: {} |
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## Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission, |
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## effectively unioning the set of nodes tolerated by the pod and the RuntimeClass. |
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tolerations: [] |
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## Compute Resources required by this container. Cannot be updated. |
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## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container |
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resources: {} |
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# resources: |
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# limits: |
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# memory: "8Gi" |
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# cpu: "4" |
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# requests: |
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# memory: "2Gi" |
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# cpu: "500m" |
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## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated. |
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## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes |
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livenessProbe: |
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enabled: true |
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initialDelaySeconds: "30" |
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periodSeconds: "30" |
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timeoutSeconds: "5" |
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failureThreshold: "3" |
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successThreshold: "1" |
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## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated. |
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## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes |
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readinessProbe: |
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enabled: true |
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initialDelaySeconds: "30" |
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periodSeconds: "30" |
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timeoutSeconds: "5" |
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failureThreshold: "3" |
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successThreshold: "1" |
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## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace. |
|
## The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod. |
|
## Every claim in this list must have at least one matching (by name) volumeMount in one container in the template. |
|
## A claim in this list takes precedence over any volumes in the template, with the same name. |
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persistentVolumeClaim: |
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enabled: false |
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## dolphinscheduler data volume |
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dataPersistentVolume: |
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enabled: false |
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accessModes: |
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- "ReadWriteOnce" |
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storageClassName: "-" |
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storage: "20Gi" |
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## dolphinscheduler logs volume |
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logsPersistentVolume: |
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enabled: false |
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accessModes: |
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- "ReadWriteOnce" |
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storageClassName: "-" |
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storage: "20Gi" |
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env: |
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WORKER_MAX_CPU_LOAD_AVG: "1" |
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WORKER_RESERVED_MEMORY: "0.3" |
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WORKER_EXEC_THREADS: "100" |
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WORKER_HEARTBEAT_INTERVAL: "10s" |
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WORKER_HEART_ERROR_THRESHOLD: "5" |
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WORKER_HOST_WEIGHT: "100" |
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keda: |
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enabled: false |
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namespaceLabels: { } |
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|
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# How often KEDA polls the DolphinScheduler DB to report new scale requests to the HPA |
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pollingInterval: 5 |
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|
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# How many seconds KEDA will wait before scaling to zero. |
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# Note that HPA has a separate cooldown period for scale-downs |
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cooldownPeriod: 30 |
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|
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# Minimum number of workers created by keda |
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minReplicaCount: 0 |
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|
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# Maximum number of workers created by keda |
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maxReplicaCount: 3 |
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|
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# Specify HPA related options |
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advanced: { } |
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# horizontalPodAutoscalerConfig: |
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# behavior: |
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# scaleDown: |
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# stabilizationWindowSeconds: 300 |
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# policies: |
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# - type: Percent |
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# value: 100 |
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# periodSeconds: 15 |
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service: |
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# annotations may need to be set when want to scrapy metrics by prometheus but not install prometheus operator |
|
annotations: {} |
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# serviceMonitor for prometheus operator |
|
serviceMonitor: |
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# -- Enable or disable worker serviceMonitor |
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enabled: false |
|
# -- @param serviceMonitor.interval interval at which metrics should be scraped |
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interval: 15s |
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# -- @param serviceMonitor.path path of the metrics endpoint |
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path: /actuator/prometheus |
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# -- @param serviceMonitor.labels ServiceMonitor extra labels |
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labels: {} |
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# -- @param serviceMonitor.annotations ServiceMonitor annotations |
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annotations: {} |
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|
|
|
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alert: |
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## Number of desired pods. This is a pointer to distinguish between explicit zero and not specified. Defaults to 1. |
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replicas: 1 |
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## The deployment strategy to use to replace existing pods with new ones. |
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strategy: |
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type: "RollingUpdate" |
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rollingUpdate: |
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maxSurge: "25%" |
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maxUnavailable: "25%" |
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## You can use annotations to attach arbitrary non-identifying metadata to objects. |
|
## Clients such as tools and libraries can retrieve this metadata. |
|
annotations: {} |
|
## Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints. |
|
## More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core |
|
affinity: {} |
|
## NodeSelector is a selector which must be true for the pod to fit on a node. |
|
## Selector which must match a node's labels for the pod to be scheduled on that node. |
|
## More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/ |
|
nodeSelector: {} |
|
## Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission, |
|
## effectively unioning the set of nodes tolerated by the pod and the RuntimeClass. |
|
tolerations: [] |
|
## Compute Resources required by this container. Cannot be updated. |
|
## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container |
|
resources: {} |
|
# resources: |
|
# limits: |
|
# memory: "2Gi" |
|
# cpu: "1" |
|
# requests: |
|
# memory: "1Gi" |
|
# cpu: "500m" |
|
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated. |
|
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes |
|
livenessProbe: |
|
enabled: true |
|
initialDelaySeconds: "30" |
|
periodSeconds: "30" |
|
timeoutSeconds: "5" |
|
failureThreshold: "3" |
|
successThreshold: "1" |
|
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated. |
|
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes |
|
readinessProbe: |
|
enabled: true |
|
initialDelaySeconds: "30" |
|
periodSeconds: "30" |
|
timeoutSeconds: "5" |
|
failureThreshold: "3" |
|
successThreshold: "1" |
|
## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace. |
|
## More info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#persistentvolumeclaims |
|
persistentVolumeClaim: |
|
enabled: false |
|
accessModes: |
|
- "ReadWriteOnce" |
|
storageClassName: "-" |
|
storage: "20Gi" |
|
env: |
|
JAVA_OPTS: "-Xms512m -Xmx512m -Xmn256m" |
|
service: |
|
# annotations may need to be set when want to scrapy metrics by prometheus but not install prometheus operator |
|
annotations: {} |
|
# serviceMonitor for prometheus operator |
|
serviceMonitor: |
|
# -- Enable or disable alert-server serviceMonitor |
|
enabled: false |
|
# -- @param serviceMonitor.interval interval at which metrics should be scraped |
|
interval: 15s |
|
# -- @param serviceMonitor.path path of the metrics endpoint |
|
path: /actuator/prometheus |
|
# -- @param serviceMonitor.labels ServiceMonitor extra labels |
|
labels: {} |
|
# -- @param serviceMonitor.annotations ServiceMonitor annotations |
|
annotations: {} |
|
|
|
|
|
api: |
|
## Number of desired pods. This is a pointer to distinguish between explicit zero and not specified. Defaults to 1. |
|
replicas: "1" |
|
## The deployment strategy to use to replace existing pods with new ones. |
|
strategy: |
|
type: "RollingUpdate" |
|
rollingUpdate: |
|
maxSurge: "25%" |
|
maxUnavailable: "25%" |
|
## You can use annotations to attach arbitrary non-identifying metadata to objects. |
|
## Clients such as tools and libraries can retrieve this metadata. |
|
annotations: {} |
|
## Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints. |
|
## More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core |
|
affinity: {} |
|
## NodeSelector is a selector which must be true for the pod to fit on a node. |
|
## Selector which must match a node's labels for the pod to be scheduled on that node. |
|
## More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/ |
|
nodeSelector: {} |
|
## Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission, |
|
## effectively unioning the set of nodes tolerated by the pod and the RuntimeClass. |
|
tolerations: [] |
|
## Compute Resources required by this container. Cannot be updated. |
|
## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container |
|
resources: {} |
|
# resources: |
|
# limits: |
|
# memory: "2Gi" |
|
# cpu: "1" |
|
# requests: |
|
# memory: "1Gi" |
|
# cpu: "500m" |
|
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated. |
|
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes |
|
livenessProbe: |
|
enabled: true |
|
initialDelaySeconds: "30" |
|
periodSeconds: "30" |
|
timeoutSeconds: "5" |
|
failureThreshold: "3" |
|
successThreshold: "1" |
|
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated. |
|
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes |
|
readinessProbe: |
|
enabled: true |
|
initialDelaySeconds: "30" |
|
periodSeconds: "30" |
|
timeoutSeconds: "5" |
|
failureThreshold: "3" |
|
successThreshold: "1" |
|
## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace. |
|
## More info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#persistentvolumeclaims |
|
persistentVolumeClaim: |
|
enabled: false |
|
accessModes: |
|
- "ReadWriteOnce" |
|
storageClassName: "-" |
|
storage: "20Gi" |
|
service: |
|
## type determines how the Service is exposed. Defaults to ClusterIP. Valid options are ExternalName, ClusterIP, NodePort, and LoadBalancer |
|
type: "ClusterIP" |
|
## clusterIP is the IP address of the service and is usually assigned randomly by the master |
|
clusterIP: "" |
|
## nodePort is the port on each node on which this api service is exposed when type=NodePort |
|
nodePort: "" |
|
## pythonNodePort is the port on each node on which this python api service is exposed when type=NodePort |
|
pythonNodePort: "" |
|
## externalIPs is a list of IP addresses for which nodes in the cluster will also accept traffic for this service |
|
externalIPs: [] |
|
## externalName is the external reference that kubedns or equivalent will return as a CNAME record for this service, requires Type to be ExternalName |
|
externalName: "" |
|
## loadBalancerIP when service.type is LoadBalancer. LoadBalancer will get created with the IP specified in this field |
|
loadBalancerIP: "" |
|
## annotations may need to be set when service.type is LoadBalancer |
|
## service.beta.kubernetes.io/aws-load-balancer-ssl-cert: arn:aws:acm:us-east-1:EXAMPLE_CERT |
|
annotations: {} |
|
# serviceMonitor for prometheus operator |
|
serviceMonitor: |
|
# -- Enable or disable api-server serviceMonitor |
|
enabled: false |
|
# -- @param serviceMonitor.interval interval at which metrics should be scraped |
|
interval: 15s |
|
# -- @param serviceMonitor.path path of the metrics endpoint |
|
path: /dolphinscheduler/actuator/prometheus |
|
# -- @param serviceMonitor.labels ServiceMonitor extra labels |
|
labels: {} |
|
# -- @param serviceMonitor.annotations ServiceMonitor annotations |
|
annotations: {} |
|
env: |
|
JAVA_OPTS: "-Xms512m -Xmx512m -Xmn256m" |
|
|
|
ingress: |
|
enabled: false |
|
host: "dolphinscheduler.org" |
|
path: "/dolphinscheduler" |
|
annotations: {} |
|
tls: |
|
enabled: false |
|
secretName: "dolphinscheduler-tls"
|
|
|