- QuickStart in Kubernetes
- Prerequisites
- Install DolphinScheduler
- Access DolphinScheduler UI
- Uninstall the Chart
- Configuration
- Support Matrix
- FAQ
- How to View the Logs of a Pod Container?
- How to Scale API, master and worker on Kubernetes?
- How to Use MySQL as the DolphinScheduler’s Database Instead of PostgreSQL?
- How to Support MySQL or Oracle Datasource in
Datasource manage
? - How to Support Python 2 pip and Custom requirements.txt?
- How to Support Python 3?
- How to Support Hadoop, Spark, Flink, Hive or DataX?
- How to Support Spark 3?
- How to Support Shared Storage Between Master, Worker and Api Server?
- How to Support Local File Resource Storage Instead of HDFS and S3?
- How to Support S3 Resource Storage Like MinIO?
- How to Configure SkyWalking?
- Appendix-Configuration
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 thehelm
andkubectl
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 installsocat
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
Download the MySQL driver mysql-connector-java-8.0.16.jar.
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
- Build a new docker image including MySQL driver:
docker build -t apache/dolphinscheduler-<service>:mysql-driver .
Push the docker image
apache/dolphinscheduler-<service>:mysql-driver
to a docker registry.Modify image
repository
and updatetag
tomysql-driver
invalues.yaml
.Modify postgresql
enabled
tofalse
invalues.yaml
.Modify externalDatabase (especially modify
host
,username
andpassword
) invalues.yaml
:
externalDatabase:
type: "mysql"
host: "localhost"
port: "3306"
username: "root"
password: "root"
database: "dolphinscheduler"
params: "useUnicode=true&characterEncoding=UTF-8"
- 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.
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
)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
- Build a new docker image including MySQL or Oracle driver:
docker build -t apache/dolphinscheduler-<service>:new-driver .
Push the docker image
apache/dolphinscheduler-<service>:new-driver
to a docker registry.Modify image
repository
and updatetag
tonew-driver
invalues.yaml
.Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).
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.
- 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 && \
- Build a new docker image including pip:
docker build -t apache/dolphinscheduler-worker:pip .
Push the docker image
apache/dolphinscheduler-worker:pip
to a docker registry.Modify image
repository
and updatetag
topip
invalues.yaml
.Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).
Verify pip under a new Python task.
How to Support Python 3?
Just change the image of the dolphinscheduler-worker service.
- 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 && \
- Build a new docker image including Python 3:
docker build -t apache/dolphinscheduler-worker:python3 .
Push the docker image
apache/dolphinscheduler-worker:python3
to a docker registry.Modify image
repository
and updatetag
topython3
invalues.yaml
.Modify
PYTHON_HOME
to/usr/bin/python3
invalues.yaml
.Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).
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:
Download the Spark 2.4.7 release binary
spark-2.4.7-bin-hadoop2.7.tgz
.Ensure that
common.sharedStoragePersistence.enabled
is turned on.Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).
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.
- Attach the container and ensure that
SPARK_HOME2
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_HOME2/bin/spark-submit --version
The last command will print the Spark version if everything goes well.
- Verify Spark under a Shell task.
$SPARK_HOME2/bin/spark-submit --class org.apache.spark.examples.SparkPi $SPARK_HOME2/examples/jars/spark-examples_2.11-2.4.7.jar
Check whether the task log contains the output like Pi is roughly 3.146015
.
- 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:
- Spark Version:
SPARK2
- 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
.
- 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 Spark 3?
In fact, the way to submit applications with spark-submit
is the same, regardless of Spark 1, 2 or 3. In other words, the semantics of SPARK_HOME2
is the second SPARK_HOME
instead of SPARK2
‘s HOME
, so just set SPARK_HOME2=/path/to/spark3
.
Take Spark 3.1.1 as an example:
Download the Spark 3.1.1 release binary
spark-3.1.1-bin-hadoop2.7.tgz
.Ensure that
common.sharedStoragePersistence.enabled
is turned on.Run a DolphinScheduler release in Kubernetes (See Install DolphinScheduler).
Copy the Spark 3.1.1 release binary into the Docker container.
kubectl cp spark-3.1.1-bin-hadoop2.7.tgz dolphinscheduler-worker-0:/opt/soft
kubectl cp -n test spark-3.1.1-bin-hadoop2.7.tgz dolphinscheduler-worker-0:/opt/soft # with test namespace
- Attach the container and ensure that
SPARK_HOME2
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-3.1.1-bin-hadoop2.7.tgz
rm -f spark-3.1.1-bin-hadoop2.7.tgz
ln -s spark-3.1.1-bin-hadoop2.7 spark2 # or just mv
$SPARK_HOME2/bin/spark-submit --version
The last command will print the Spark version if everything goes well.
- Verify Spark under a Shell task.
$SPARK_HOME2/bin/spark-submit --class org.apache.spark.examples.SparkPi $SPARK_HOME2/examples/jars/spark-examples_2.12-3.1.1.jar
Check whether the task log contains the output like Pi is roughly 3.146015
.
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.
- 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
.
Copy the Hadoop into the directory
/opt/soft
.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 | - |
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_HOME1 | Set SPARK_HOME1 for DolphinScheduler’s task environment | /opt/soft/spark1 |
common.configmap.SPARK_HOME2 | Set SPARK_HOME2 for DolphinScheduler’s task environment | /opt/soft/spark2 |
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 | /usr/local/openjdk-8 |
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 |