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QuickStart in Kubernetes

Kubernetes deployment is DolphinScheduler deployment in a Kubernetes cluster, which can schedule massive tasks and can be used in production.

If you are a new hand and want to experience DolphinScheduler functions, we recommend you install follow Standalone deployment. If you want to experience more complete functions and schedule massive tasks, we recommend you install follow pseudo-cluster deployment. If you want to deploy DolphinScheduler in production, we recommend you follow cluster deployment or Kubernetes deployment.

Prerequisites

  • Helm version 3.1.0+
  • Kubernetes version 1.12+
  • PV provisioner support in the underlying infrastructure

Install DolphinScheduler

Please download the source code package apache-dolphinscheduler-<version>-src.tar.gz, download address: download address

To publish the release name dolphinscheduler version, please execute the following commands:

$ tar -zxvf apache-dolphinscheduler-<version>-src.tar.gz
$ cd apache-dolphinscheduler-<version>-src/deploy/kubernetes/dolphinscheduler
$ helm repo add bitnami https://charts.bitnami.com/bitnami
$ helm dependency update .
$ helm install dolphinscheduler . --set image.tag=<version>

To publish the release name dolphinscheduler version to test namespace:

$ helm install dolphinscheduler . -n test

Tip: If a namespace named test is used, the optional parameter -n test needs to be added to the helm and kubectl commands.

These commands are used to deploy DolphinScheduler on the Kubernetes cluster by default. The Appendix-Configuration section lists the parameters that can be configured during installation.

Tip: List all releases using helm list

The PostgreSQL (with username root, password root and database dolphinscheduler) and ZooKeeper services will start by default.

Access DolphinScheduler UI

If ingress.enabled in values.yaml is set to true, you could access http://${ingress.host}/dolphinscheduler in browser.

Tip: If there is a problem with ingress access, please contact the Kubernetes administrator and refer to the Ingress.

Otherwise, when api.service.type=ClusterIP you need to execute port-forward commands:

$ kubectl port-forward --address 0.0.0.0 svc/dolphinscheduler-api 12345:12345
$ kubectl port-forward --address 0.0.0.0 -n test svc/dolphinscheduler-api 12345:12345 # with test namespace

Tip: If the error of unable to do port forwarding: socat not found appears, you need to install socat first.

Access the web: http://localhost:12345/dolphinscheduler/ui (Modify the IP address if needed).

Or when api.service.type=NodePort you need to execute the command:

NODE_IP=$(kubectl get no -n {{ .Release.Namespace }} -o jsonpath="{.items[0].status.addresses[0].address}")
NODE_PORT=$(kubectl get svc {{ template "dolphinscheduler.fullname" . }}-api -n {{ .Release.Namespace }} -o jsonpath="{.spec.ports[0].nodePort}")
echo http://$NODE_IP:$NODE_PORT/dolphinscheduler

Access the web: http://$NODE_IP:$NODE_PORT/dolphinscheduler.

The default username is admin and the default password is dolphinscheduler123.

Please refer to the Quick Start in the chapter Quick Start to explore how to use DolphinScheduler.

Uninstall the Chart

To uninstall or delete the dolphinscheduler deployment:

$ helm uninstall dolphinscheduler

The command removes all the Kubernetes components (except PVC) associated with the dolphinscheduler and deletes the release.

Run the command below to delete the PVC's associated with dolphinscheduler:

$ kubectl delete pvc -l app.kubernetes.io/instance=dolphinscheduler

Note: Deleting the PVC's will delete all data as well. Please be cautious before doing it.

Configuration

The configuration file is values.yaml, and the Appendix-Configuration tables lists the configurable parameters of the DolphinScheduler and their default values.

Support Matrix

Type Support Notes
Shell Yes
Python2 Yes
Python3 Indirect Yes Refer to FAQ
Hadoop2 Indirect Yes Refer to FAQ
Hadoop3 Not Sure Not tested
Spark-Local(client) Indirect Yes Refer to FAQ
Spark-YARN(cluster) Indirect Yes Refer to FAQ
Spark-Standalone(cluster) Not Yet
Spark-Kubernetes(cluster) Not Yet
Flink-Local(local>=1.11) Not Yet Generic CLI mode is not yet supported
Flink-YARN(yarn-cluster) Indirect Yes Refer to FAQ
Flink-YARN(yarn-session/yarn-per-job/yarn-application>=1.11) Not Yet Generic CLI mode is not yet supported
Flink-Standalone(default) Not Yet
Flink-Standalone(remote>=1.11) Not Yet Generic CLI mode is not yet supported
Flink-Kubernetes(default) Not Yet
Flink-Kubernetes(remote>=1.11) Not Yet Generic CLI mode is not yet supported
Flink-NativeKubernetes(kubernetes-session/application>=1.11) Not Yet Generic CLI mode is not yet supported
MapReduce Indirect Yes Refer to FAQ
Kerberos Indirect Yes Refer to FAQ
HTTP Yes
DataX Indirect Yes Refer to FAQ
Sqoop Indirect Yes Refer to FAQ
SQL-MySQL Indirect Yes Refer to FAQ
SQL-PostgreSQL Yes
SQL-Hive Indirect Yes Refer to FAQ
SQL-Spark Indirect Yes Refer to FAQ
SQL-ClickHouse Indirect Yes Refer to FAQ
SQL-Oracle Indirect Yes Refer to FAQ
SQL-SQLServer Indirect Yes Refer to FAQ
SQL-DB2 Indirect Yes Refer to FAQ

FAQ

How to View the Logs of a Pod Container?

List all pods (aka po):

kubectl get po
kubectl get po -n test # with test namespace

View the logs of a pod container named dolphinscheduler-master-0:

kubectl logs dolphinscheduler-master-0
kubectl logs -f dolphinscheduler-master-0 # follow log output
kubectl logs --tail 10 dolphinscheduler-master-0 -n test # show last 10 lines from the end of the logs

How to Scale API, master and worker on Kubernetes?

List all deployments (aka deploy):

kubectl get deploy
kubectl get deploy -n test # with test namespace

Scale api to 3 replicas:

kubectl scale --replicas=3 deploy dolphinscheduler-api
kubectl scale --replicas=3 deploy dolphinscheduler-api -n test # with test namespace

List all stateful sets (aka sts):

kubectl get sts
kubectl get sts -n test # with test namespace

Scale master to 2 replicas:

kubectl scale --replicas=2 sts dolphinscheduler-master
kubectl scale --replicas=2 sts dolphinscheduler-master -n test # with test namespace

Scale worker to 6 replicas:

kubectl scale --replicas=6 sts dolphinscheduler-worker
kubectl scale --replicas=6 sts dolphinscheduler-worker -n test # with test namespace

How to Use MySQL as the DolphinScheduler's Database Instead of PostgreSQL?

Because of the commercial license, we cannot directly use the driver of MySQL.

If you want to use MySQL, you can build a new image based on the apache/dolphinscheduler-<service> image follow the following instructions:

Since version 3.0.0, dolphinscheduler has been microserviced and the change of metadata storage requires replacing all services with MySQL driver, which including dolphinscheduler-tools, dolphinscheduler-master, dolphinscheduler-worker, dolphinscheduler-api, dolphinscheduler-alert-server

  1. Download the MySQL driver mysql-connector-java-8.0.16.jar.

  2. Create a new Dockerfile to add MySQL driver:

FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-<service>:<version>
# For example
# FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-tools:<version>

# Attention Please, If the build is dolphinscheduler-tools image
# You need to change the following line to: COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/tools/libs
# The other services don't need any changes
COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/libs
  1. Build a new docker image including MySQL driver:
docker build -t apache/dolphinscheduler-<service>:mysql-driver .
  1. Push the docker image apache/dolphinscheduler-<service>:mysql-driver to a docker registry.

  2. Modify image repository and update tag to mysql-driver in values.yaml.

  3. Modify postgresql enabled to false in values.yaml.

  4. Modify externalDatabase (especially modify host, username and password) in values.yaml:

externalDatabase:
  type: "mysql"
  host: "localhost"
  port: "3306"
  username: "root"
  password: "root"
  database: "dolphinscheduler"
  params: "useUnicode=true&characterEncoding=UTF-8"
  1. Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).

How to Support MySQL or Oracle Datasource in Datasource manage?

Because of the commercial license, we cannot directly use the driver of MySQL or Oracle.

If you want to add MySQL or Oracle datasource, you can build a new image based on the apache/dolphinscheduler-<service> image follow the following instructions:

You need to change the two service images including dolphinscheduler-worker, dolphinscheduler-api.

  1. Download the MySQL driver mysql-connector-java-8.0.16.jar. or download the Oracle driver ojdbc8.jar (such as ojdbc8-19.9.0.0.jar)

  2. Create a new Dockerfile to add MySQL or Oracle driver:

FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-<service>:<version>
# For example
# FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-worker:<version>

# If you want to support MySQL Datasource
COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/libs

# If you want to support Oracle Datasource
COPY ojdbc8-19.9.0.0.jar /opt/dolphinscheduler/libs
  1. Build a new docker image including MySQL or Oracle driver:
docker build -t apache/dolphinscheduler-<service>:new-driver .
  1. Push the docker image apache/dolphinscheduler-<service>:new-driver to a docker registry.

  2. Modify image repository and update tag to new-driver in values.yaml.

  3. Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).

  4. Add a MySQL or Oracle datasource in Datasource manage.

How to Support Python 2 pip and Custom requirements.txt?

Just change the image of the dolphinscheduler-worker service.

  1. Create a new Dockerfile to install pip:
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-worker:<version>
COPY requirements.txt /tmp
RUN apt-get update && \
    apt-get install -y --no-install-recommends python-pip && \
    pip install --no-cache-dir -r /tmp/requirements.txt && \
    rm -rf /var/lib/apt/lists/*

The command will install the default pip 18.1. If you upgrade the pip, just add the following command.

pip install --no-cache-dir -U pip && \
  1. Build a new docker image including pip:
docker build -t apache/dolphinscheduler-worker:pip .
  1. Push the docker image apache/dolphinscheduler-worker:pip to a docker registry.

  2. Modify image repository and update tag to pip in values.yaml.

  3. Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).

  4. Verify pip under a new Python task.

How to Support Python 3?

Just change the image of the dolphinscheduler-worker service.

  1. Create a new Dockerfile to install Python 3:
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-worker:<version>
RUN apt-get update && \
    apt-get install -y --no-install-recommends python3 && \
    rm -rf /var/lib/apt/lists/*

The command will install the default Python 3.7.3. If you also want to install pip3, just replace python3 with python3-pip like:

apt-get install -y --no-install-recommends python3-pip && \
  1. Build a new docker image including Python 3:
docker build -t apache/dolphinscheduler-worker:python3 .
  1. Push the docker image apache/dolphinscheduler-worker:python3 to a docker registry.

  2. Modify image repository and update tag to python3 in values.yaml.

  3. Modify PYTHON_HOME to /usr/bin/python3 in values.yaml.

  4. Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).

  5. Verify Python 3 under a new Python task.

How to Support Hadoop, Spark, Flink, Hive or DataX?

Take Spark 2.4.7 as an example:

  1. Download the Spark 2.4.7 release binary spark-2.4.7-bin-hadoop2.7.tgz.

  2. Ensure that common.sharedStoragePersistence.enabled is turned on.

  3. Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).

  4. Copy the Spark 2.4.7 release binary into the Docker container.

kubectl cp spark-2.4.7-bin-hadoop2.7.tgz dolphinscheduler-worker-0:/opt/soft
kubectl cp -n test spark-2.4.7-bin-hadoop2.7.tgz dolphinscheduler-worker-0:/opt/soft # with test namespace

Because the volume sharedStoragePersistence is mounted on /opt/soft, all files in /opt/soft will not be lost.

  1. Attach the container and ensure that SPARK_HOME exists.
kubectl exec -it dolphinscheduler-worker-0 bash
kubectl exec -n test -it dolphinscheduler-worker-0 bash # with test namespace
cd /opt/soft
tar zxf spark-2.4.7-bin-hadoop2.7.tgz
rm -f spark-2.4.7-bin-hadoop2.7.tgz
ln -s spark-2.4.7-bin-hadoop2.7 spark2 # or just mv
$SPARK_HOME/bin/spark-submit --version

The last command will print the Spark version if everything goes well.

  1. Verify Spark under a Shell task.
$SPARK_HOME/bin/spark-submit --class org.apache.spark.examples.SparkPi $SPARK_HOME/examples/jars/spark-examples_2.11-2.4.7.jar

Check whether the task log contains the output like Pi is roughly 3.146015.

  1. Verify Spark under a Spark task.

The file spark-examples_2.11-2.4.7.jar needs to be uploaded to the resources first, and then create a Spark task with:

  • Main Class: org.apache.spark.examples.SparkPi
  • Main Package: spark-examples_2.11-2.4.7.jar
  • Deploy Mode: local

Similarly, check whether the task log contains the output like Pi is roughly 3.146015.

  1. Verify Spark on YARN.

Spark on YARN (Deploy Mode is cluster or client) requires Hadoop support. Similar to Spark support, the operation of supporting Hadoop is almost the same as the previous steps.

Ensure that $HADOOP_HOME and $HADOOP_CONF_DIR exists.

How to Support Shared Storage Between Master, Worker and Api Server?

For example, Master, Worker and API server may use Hadoop at the same time.

  1. Modify the following configurations in values.yaml
common:
  sharedStoragePersistence:
    enabled: false
    mountPath: "/opt/soft"
    accessModes:
    - "ReadWriteMany"
    storageClassName: "-"
    storage: "20Gi"

Modify storageClassName and storage to actual environment values.

Note: storageClassName must support the access mode: ReadWriteMany.

  1. Copy the Hadoop into the directory /opt/soft.

  2. Ensure that $HADOOP_HOME and $HADOOP_CONF_DIR are correct.

How to Support Local File Resource Storage Instead of HDFS and S3?

Modify the following configurations in values.yaml:

common:
  configmap:
    RESOURCE_STORAGE_TYPE: "HDFS"
    RESOURCE_UPLOAD_PATH: "/dolphinscheduler"
    FS_DEFAULT_FS: "file:///"
  fsFileResourcePersistence:
    enabled: true
    accessModes:
    - "ReadWriteMany"
    storageClassName: "-"
    storage: "20Gi"

Modify storageClassName and storage to actual environment values.

Note: storageClassName must support the access mode: ReadWriteMany.

How to Support S3 Resource Storage Like MinIO?

Take MinIO as an example: Modify the following configurations in values.yaml:

common:
  configmap:
    RESOURCE_STORAGE_TYPE: "S3"
    RESOURCE_UPLOAD_PATH: "/dolphinscheduler"
    FS_DEFAULT_FS: "s3a://BUCKET_NAME"
    FS_S3A_ENDPOINT: "http://MINIO_IP:9000"
    FS_S3A_ACCESS_KEY: "MINIO_ACCESS_KEY"
    FS_S3A_SECRET_KEY: "MINIO_SECRET_KEY"

Modify BUCKET_NAME, MINIO_IP, MINIO_ACCESS_KEY and MINIO_SECRET_KEY to actual environment values.

Note: MINIO_IP can only use IP instead of the domain name, because DolphinScheduler currently doesn't support S3 path style access.

How to Configure SkyWalking?

Modify SkyWalking configurations in values.yaml:

common:
  configmap:
    SKYWALKING_ENABLE: "true"
    SW_AGENT_COLLECTOR_BACKEND_SERVICES: "127.0.0.1:11800"
    SW_GRPC_LOG_SERVER_HOST: "127.0.0.1"
    SW_GRPC_LOG_SERVER_PORT: "11800"

Appendix-Configuration

Parameter Description Default
timezone World time and date for cities in all time zones Asia/Shanghai
image.repository Docker image repository for the DolphinScheduler apache/dolphinscheduler
image.tag Docker image version for the DolphinScheduler latest
image.pullPolicy Image pull policy. Options: Always, Never, IfNotPresent IfNotPresent
image.pullSecret Image pull secret. An optional reference to secret in the same namespace to use for pulling any of the images nil
postgresql.enabled If not exists external PostgreSQL, by default, the DolphinScheduler will use a internal PostgreSQL true
postgresql.postgresqlUsername The username for internal PostgreSQL root
postgresql.postgresqlPassword The password for internal PostgreSQL root
postgresql.postgresqlDatabase The database for internal PostgreSQL dolphinscheduler
postgresql.persistence.enabled Set postgresql.persistence.enabled to true to mount a new volume for internal PostgreSQL false
postgresql.persistence.size PersistentVolumeClaim size 20Gi
postgresql.persistence.storageClass PostgreSQL data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning -
minio.enabled Deploy minio and configure it as the default storage for DolphinScheduler, note this is for demo only, not for production. false
externalDatabase.type If exists external PostgreSQL, and set postgresql.enabled value to false. DolphinScheduler's database type will use it postgresql
externalDatabase.driver If exists external PostgreSQL, and set postgresql.enabled value to false. DolphinScheduler's database driver will use it org.postgresql.Driver
externalDatabase.host If exists external PostgreSQL, and set postgresql.enabled value to false. DolphinScheduler's database host will use it localhost
externalDatabase.port If exists external PostgreSQL, and set postgresql.enabled value to false. DolphinScheduler's database port will use it 5432
externalDatabase.username If exists external PostgreSQL, and set postgresql.enabled value to false. DolphinScheduler's database username will use it root
externalDatabase.password If exists external PostgreSQL, and set postgresql.enabled value to false. DolphinScheduler's database password will use it root
externalDatabase.database If exists external PostgreSQL, and set postgresql.enabled value to false. DolphinScheduler's database database will use it dolphinscheduler
externalDatabase.params If exists external PostgreSQL, and set postgresql.enabled value to false. DolphinScheduler's database params will use it characterEncoding=utf8
zookeeper.enabled If not exists external ZooKeeper, by default, the DolphinScheduler will use a internal ZooKeeper true
zookeeper.service.port The port of zookeeper 2181
zookeeper.fourlwCommandsWhitelist A list of comma separated Four Letter Words commands to use srvr,ruok,wchs,cons
zookeeper.persistence.enabled Set zookeeper.persistence.enabled to true to mount a new volume for internal ZooKeeper false
zookeeper.persistence.size PersistentVolumeClaim size 20Gi
zookeeper.persistence.storageClass ZooKeeper data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning -
externalRegistry.registryPluginDir If exists external registry and set zookeeper.enable to false, specify the external registry plugin directory lib/plugin/registry
externalRegistry.registryPluginName If exists external registry and set zookeeper.enable to false, specify the external registry plugin name zookeeper
externalRegistry.registryServers If exists external registry and set zookeeper.enable to false, specify the external registry servers 127.0.0.1:2181
common.configmap.DOLPHINSCHEDULER_OPTS The jvm options for dolphinscheduler, suitable for all servers ""
common.configmap.DATA_BASEDIR_PATH User data directory path, self configuration, please make sure the directory exists and have read write permissions /tmp/dolphinscheduler
common.configmap.RESOURCE_STORAGE_TYPE Resource storage type: HDFS, S3, NONE HDFS
common.configmap.RESOURCE_UPLOAD_PATH Resource store on HDFS/S3 path, please make sure the directory exists on hdfs and have read write permissions /dolphinscheduler
common.configmap.FS_DEFAULT_FS Resource storage file system like file:///, hdfs://mycluster:8020 or s3a://dolphinscheduler file:///
common.configmap.FS_S3A_ENDPOINT S3 endpoint when common.configmap.RESOURCE_STORAGE_TYPE is set to S3 s3.xxx.amazonaws.com
common.configmap.FS_S3A_ACCESS_KEY S3 access key when common.configmap.RESOURCE_STORAGE_TYPE is set to S3 xxxxxxx
common.configmap.FS_S3A_SECRET_KEY S3 secret key when common.configmap.RESOURCE_STORAGE_TYPE is set to S3 xxxxxxx
common.configmap.HADOOP_SECURITY_AUTHENTICATION_STARTUP_STATE Whether to startup kerberos false
common.configmap.JAVA_SECURITY_KRB5_CONF_PATH The java.security.krb5.conf path /opt/krb5.conf
common.configmap.LOGIN_USER_KEYTAB_USERNAME The login user from keytab username hdfs@HADOOP.COM
common.configmap.LOGIN_USER_KEYTAB_PATH The login user from keytab path /opt/hdfs.keytab
common.configmap.KERBEROS_EXPIRE_TIME The kerberos expire time, the unit is hour 2
common.configmap.HDFS_ROOT_USER The HDFS root user who must have the permission to create directories under the HDFS root path hdfs
common.configmap.RESOURCE_MANAGER_HTTPADDRESS_PORT Set resource manager httpaddress port for yarn 8088
common.configmap.YARN_RESOURCEMANAGER_HA_RM_IDS If resourcemanager HA is enabled, please set the HA IPs nil
common.configmap.YARN_APPLICATION_STATUS_ADDRESS If resourcemanager is single, you only need to replace ds1 to actual resourcemanager hostname, otherwise keep default http://ds1:%s/ws/v1/cluster/apps/%s
common.configmap.SKYWALKING_ENABLE Set whether to enable skywalking false
common.configmap.SW_AGENT_COLLECTOR_BACKEND_SERVICES Set agent collector backend services for skywalking 127.0.0.1:11800
common.configmap.SW_GRPC_LOG_SERVER_HOST Set grpc log server host for skywalking 127.0.0.1
common.configmap.SW_GRPC_LOG_SERVER_PORT Set grpc log server port for skywalking 11800
common.configmap.HADOOP_HOME Set HADOOP_HOME for DolphinScheduler's task environment /opt/soft/hadoop
common.configmap.HADOOP_CONF_DIR Set HADOOP_CONF_DIR for DolphinScheduler's task environment /opt/soft/hadoop/etc/hadoop
common.configmap.SPARK_HOME Set SPARK_HOME for DolphinScheduler's task environment /opt/soft/spark
common.configmap.PYTHON_HOME Set PYTHON_HOME for DolphinScheduler's task environment /usr/bin/python
common.configmap.JAVA_HOME Set JAVA_HOME for DolphinScheduler's task environment /opt/java/openjdk
common.configmap.HIVE_HOME Set HIVE_HOME for DolphinScheduler's task environment /opt/soft/hive
common.configmap.FLINK_HOME Set FLINK_HOME for DolphinScheduler's task environment /opt/soft/flink
common.configmap.DATAX_HOME Set DATAX_HOME for DolphinScheduler's task environment /opt/soft/datax
common.sharedStoragePersistence.enabled Set common.sharedStoragePersistence.enabled to true to mount a shared storage volume for Hadoop, Spark binary and etc false
common.sharedStoragePersistence.mountPath The mount path for the shared storage volume /opt/soft
common.sharedStoragePersistence.accessModes PersistentVolumeClaim access modes, must be ReadWriteMany [ReadWriteMany]
common.sharedStoragePersistence.storageClassName Shared Storage persistent volume storage class, must support the access mode: ReadWriteMany -
common.sharedStoragePersistence.storage PersistentVolumeClaim size 20Gi
common.fsFileResourcePersistence.enabled Set common.fsFileResourcePersistence.enabled to true to mount a new file resource volume for api and worker false
common.fsFileResourcePersistence.accessModes PersistentVolumeClaim access modes, must be ReadWriteMany [ReadWriteMany]
common.fsFileResourcePersistence.storageClassName Resource persistent volume storage class, must support the access mode: ReadWriteMany -
common.fsFileResourcePersistence.storage PersistentVolumeClaim size 20Gi
master.podManagementPolicy PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down Parallel
master.replicas Replicas is the desired number of replicas of the given Template 3
master.annotations The annotations for master server {}
master.affinity If specified, the pod's scheduling constraints {}
master.nodeSelector NodeSelector is a selector which must be true for the pod to fit on a node {}
master.tolerations If specified, the pod's tolerations {}
master.resources The resource limit and request config for master server {}
master.configmap.MASTER_SERVER_OPTS The jvm options for master server -Xms1g -Xmx1g -Xmn512m
master.configmap.MASTER_EXEC_THREADS Master execute thread number to limit process instances 100
master.configmap.MASTER_EXEC_TASK_NUM Master execute task number in parallel per process instance 20
master.configmap.MASTER_DISPATCH_TASK_NUM Master dispatch task number per batch 3
master.configmap.MASTER_HOST_SELECTOR Master host selector to select a suitable worker, optional values include Random, RoundRobin, LowerWeight LowerWeight
master.configmap.MASTER_HEARTBEAT_INTERVAL Master heartbeat interval, the unit is second 10
master.configmap.MASTER_TASK_COMMIT_RETRYTIMES Master commit task retry times 5
master.configmap.MASTER_TASK_COMMIT_INTERVAL master commit task interval, the unit is second 1
master.configmap.MASTER_MAX_CPULOAD_AVG Master max cpuload avg, only higher than the system cpu load average, master server can schedule -1 (the number of cpu cores * 2)
master.configmap.MASTER_RESERVED_MEMORY Master reserved memory, only lower than system available memory, master server can schedule, the unit is G 0.3
master.livenessProbe.enabled Turn on and off liveness probe true
master.livenessProbe.initialDelaySeconds Delay before liveness probe is initiated 30
master.livenessProbe.periodSeconds How often to perform the probe 30
master.livenessProbe.timeoutSeconds When the probe times out 5
master.livenessProbe.failureThreshold Minimum consecutive successes for the probe 3
master.livenessProbe.successThreshold Minimum consecutive failures for the probe 1
master.readinessProbe.enabled Turn on and off readiness probe true
master.readinessProbe.initialDelaySeconds Delay before readiness probe is initiated 30
master.readinessProbe.periodSeconds How often to perform the probe 30
master.readinessProbe.timeoutSeconds When the probe times out 5
master.readinessProbe.failureThreshold Minimum consecutive successes for the probe 3
master.readinessProbe.successThreshold Minimum consecutive failures for the probe 1
master.persistentVolumeClaim.enabled Set master.persistentVolumeClaim.enabled to true to mount a new volume for master false
master.persistentVolumeClaim.accessModes PersistentVolumeClaim access modes [ReadWriteOnce]
master.persistentVolumeClaim.storageClassName Master logs data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning -
master.persistentVolumeClaim.storage PersistentVolumeClaim size 20Gi
worker.podManagementPolicy PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down Parallel
worker.replicas Replicas is the desired number of replicas of the given Template 3
worker.annotations The annotations for worker server {}
worker.affinity If specified, the pod's scheduling constraints {}
worker.nodeSelector NodeSelector is a selector which must be true for the pod to fit on a node {}
worker.tolerations If specified, the pod's tolerations {}
worker.resources The resource limit and request config for worker server {}
worker.configmap.WORKER_SERVER_OPTS The jvm options for worker server -Xms1g -Xmx1g -Xmn512m
worker.configmap.WORKER_EXEC_THREADS Worker execute thread number to limit task instances 100
worker.configmap.WORKER_HEARTBEAT_INTERVAL Worker heartbeat interval, the unit is second 10
worker.configmap.WORKER_MAX_CPULOAD_AVG Worker max cpuload avg, only higher than the system cpu load average, worker server can be dispatched tasks -1 (the number of cpu cores * 2)
worker.configmap.WORKER_RESERVED_MEMORY Worker reserved memory, only lower than system available memory, worker server can be dispatched tasks, the unit is G 0.3
worker.configmap.WORKER_GROUPS Worker groups default
worker.livenessProbe.enabled Turn on and off liveness probe true
worker.livenessProbe.initialDelaySeconds Delay before liveness probe is initiated 30
worker.livenessProbe.periodSeconds How often to perform the probe 30
worker.livenessProbe.timeoutSeconds When the probe times out 5
worker.livenessProbe.failureThreshold Minimum consecutive successes for the probe 3
worker.livenessProbe.successThreshold Minimum consecutive failures for the probe 1
worker.readinessProbe.enabled Turn on and off readiness probe true
worker.readinessProbe.initialDelaySeconds Delay before readiness probe is initiated 30
worker.readinessProbe.periodSeconds How often to perform the probe 30
worker.readinessProbe.timeoutSeconds When the probe times out 5
worker.readinessProbe.failureThreshold Minimum consecutive successes for the probe 3
worker.readinessProbe.successThreshold Minimum consecutive failures for the probe 1
worker.persistentVolumeClaim.enabled Set worker.persistentVolumeClaim.enabled to true to enable persistentVolumeClaim for worker false
worker.persistentVolumeClaim.dataPersistentVolume.enabled Set worker.persistentVolumeClaim.dataPersistentVolume.enabled to true to mount a data volume for worker false
worker.persistentVolumeClaim.dataPersistentVolume.accessModes PersistentVolumeClaim access modes [ReadWriteOnce]
worker.persistentVolumeClaim.dataPersistentVolume.storageClassName Worker data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning -
worker.persistentVolumeClaim.dataPersistentVolume.storage PersistentVolumeClaim size 20Gi
worker.persistentVolumeClaim.logsPersistentVolume.enabled Set worker.persistentVolumeClaim.logsPersistentVolume.enabled to true to mount a logs volume for worker false
worker.persistentVolumeClaim.logsPersistentVolume.accessModes PersistentVolumeClaim access modes [ReadWriteOnce]
worker.persistentVolumeClaim.logsPersistentVolume.storageClassName Worker logs data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning -
worker.persistentVolumeClaim.logsPersistentVolume.storage PersistentVolumeClaim size 20Gi
alert.replicas Replicas is the desired number of replicas of the given Template 1
alert.strategy.type Type of deployment. Can be "Recreate" or "RollingUpdate" RollingUpdate
alert.strategy.rollingUpdate.maxSurge The maximum number of pods that can be scheduled above the desired number of pods 25%
alert.strategy.rollingUpdate.maxUnavailable The maximum number of pods that can be unavailable during the update 25%
alert.annotations The annotations for alert server {}
alert.affinity If specified, the pod's scheduling constraints {}
alert.nodeSelector NodeSelector is a selector which must be true for the pod to fit on a node {}
alert.tolerations If specified, the pod's tolerations {}
alert.resources The resource limit and request config for alert server {}
alert.configmap.ALERT_SERVER_OPTS The jvm options for alert server -Xms512m -Xmx512m -Xmn256m
alert.configmap.XLS_FILE_PATH XLS file path /tmp/xls
alert.configmap.MAIL_SERVER_HOST Mail SERVER HOST nil
alert.configmap.MAIL_SERVER_PORT Mail SERVER PORT nil
alert.configmap.MAIL_SENDER Mail SENDER nil
alert.configmap.MAIL_USER Mail USER nil
alert.configmap.MAIL_PASSWD Mail PASSWORD nil
alert.configmap.MAIL_SMTP_STARTTLS_ENABLE Mail SMTP STARTTLS enable false
alert.configmap.MAIL_SMTP_SSL_ENABLE Mail SMTP SSL enable false
alert.configmap.MAIL_SMTP_SSL_TRUST Mail SMTP SSL TRUST nil
alert.configmap.ENTERPRISE_WECHAT_ENABLE Enterprise Wechat enable false
alert.configmap.ENTERPRISE_WECHAT_CORP_ID Enterprise Wechat corp id nil
alert.configmap.ENTERPRISE_WECHAT_SECRET Enterprise Wechat secret nil
alert.configmap.ENTERPRISE_WECHAT_AGENT_ID Enterprise Wechat agent id nil
alert.configmap.ENTERPRISE_WECHAT_USERS Enterprise Wechat users nil
alert.livenessProbe.enabled Turn on and off liveness probe true
alert.livenessProbe.initialDelaySeconds Delay before liveness probe is initiated 30
alert.livenessProbe.periodSeconds How often to perform the probe 30
alert.livenessProbe.timeoutSeconds When the probe times out 5
alert.livenessProbe.failureThreshold Minimum consecutive successes for the probe 3
alert.livenessProbe.successThreshold Minimum consecutive failures for the probe 1
alert.readinessProbe.enabled Turn on and off readiness probe true
alert.readinessProbe.initialDelaySeconds Delay before readiness probe is initiated 30
alert.readinessProbe.periodSeconds How often to perform the probe 30
alert.readinessProbe.timeoutSeconds When the probe times out 5
alert.readinessProbe.failureThreshold Minimum consecutive successes for the probe 3
alert.readinessProbe.successThreshold Minimum consecutive failures for the probe 1
alert.persistentVolumeClaim.enabled Set alert.persistentVolumeClaim.enabled to true to mount a new volume for alert false
alert.persistentVolumeClaim.accessModes PersistentVolumeClaim access modes [ReadWriteOnce]
alert.persistentVolumeClaim.storageClassName Alert logs data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning -
alert.persistentVolumeClaim.storage PersistentVolumeClaim size 20Gi
api.replicas Replicas is the desired number of replicas of the given Template 1
api.strategy.type Type of deployment. Can be "Recreate" or "RollingUpdate" RollingUpdate
api.strategy.rollingUpdate.maxSurge The maximum number of pods that can be scheduled above the desired number of pods 25%
api.strategy.rollingUpdate.maxUnavailable The maximum number of pods that can be unavailable during the update 25%
api.annotations The annotations for api server {}
api.affinity If specified, the pod's scheduling constraints {}
api.nodeSelector NodeSelector is a selector which must be true for the pod to fit on a node {}
api.tolerations If specified, the pod's tolerations {}
api.resources The resource limit and request config for api server {}
api.configmap.API_SERVER_OPTS The jvm options for api server -Xms512m -Xmx512m -Xmn256m
api.livenessProbe.enabled Turn on and off liveness probe true
api.livenessProbe.initialDelaySeconds Delay before liveness probe is initiated 30
api.livenessProbe.periodSeconds How often to perform the probe 30
api.livenessProbe.timeoutSeconds When the probe times out 5
api.livenessProbe.failureThreshold Minimum consecutive successes for the probe 3
api.livenessProbe.successThreshold Minimum consecutive failures for the probe 1
api.readinessProbe.enabled Turn on and off readiness probe true
api.readinessProbe.initialDelaySeconds Delay before readiness probe is initiated 30
api.readinessProbe.periodSeconds How often to perform the probe 30
api.readinessProbe.timeoutSeconds When the probe times out 5
api.readinessProbe.failureThreshold Minimum consecutive successes for the probe 3
api.readinessProbe.successThreshold Minimum consecutive failures for the probe 1
api.persistentVolumeClaim.enabled Set api.persistentVolumeClaim.enabled to true to mount a new volume for api false
api.persistentVolumeClaim.accessModes PersistentVolumeClaim access modes [ReadWriteOnce]
api.persistentVolumeClaim.storageClassName api logs data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning -
api.persistentVolumeClaim.storage PersistentVolumeClaim size 20Gi
api.service.type type determines how the Service is exposed. Valid options are ExternalName, ClusterIP, NodePort, and LoadBalancer ClusterIP
api.service.clusterIP clusterIP is the IP address of the service and is usually assigned randomly by the master nil
api.service.nodePort nodePort is the port on each node on which this service is exposed when type=NodePort nil
api.service.externalIPs externalIPs is a list of IP addresses for which nodes in the cluster will also accept traffic for this service []
api.service.externalName externalName is the external reference that kubedns or equivalent will return as a CNAME record for this service nil
api.service.loadBalancerIP loadBalancerIP when service.type is LoadBalancer. LoadBalancer will get created with the IP specified in this field nil
api.service.annotations annotations may need to be set when service.type is LoadBalancer {}
ingress.enabled Enable ingress false
ingress.host Ingress host dolphinscheduler.org
ingress.path Ingress path /dolphinscheduler
ingress.tls.enabled Enable ingress tls false
ingress.tls.secretName Ingress tls secret name dolphinscheduler-tls