Installing Starburst Enterprise in a Kubernetes cluster#
When all requirements have been met, you are ready to proceed with the initial installation or upgrade of Dell Data Analytics Engine, powered by Starburst Enterprise platform (SEP).
Before you begin
This topic assumes that you understand the following key concepts and components from other, related topics:
Familiarizing yourself with the concepts in the preceding list simplifies management of credentials, installation, and subsequent updates.
Other relevant topics to review before proceeding are as follows:
After you have completed the initial installation or upgrade as described in this topic, you are ready to begin fine-tuning your SEP configuration.
Overview#
The workflow to install SEP with Helm charts on your cluster is as follows:
Establish access to the Helm chart repository and configure credentials to access the Docker registry in a registry access YAML file for use in all of your Starburst k8s deployments.
Create a YAML file specific to each chart and cluster, for example,
sep-prod-setup.yaml
for your production cluster.Ensure your Helm/kubectl configuration points at the correct cluster with
kubectl cluster-info
.Run Helm to install the chart.
Access the cluster and check for success.
Each Helm chart includes a values.yaml
file that sets a reasonable set of
default values. This default setup does not include catalog definitions and
others that are necessary for your cluster.
You have to change your values file to add or update any configuration and run a Helm upgrade to apply the changes to the cluster.
Iterate on the configuration in the values YAML file with minimal setup until
you have a working system. Depending on your cluster, you have to adjust memory
requirements for the worker and coordinator and other settings. Inspect the
message with kubectl
or Octant to determine details.
After you’ve achieved a running cluster, ensure to store the values YAML file as a reference and then add more details as required for the specific cluster need.
Installing SEP#
The SEP installation is managed with the starburst-enterprise
Helm chart.
Installation and upgrades are done with the helm upgrade
command with the
following options at a minimum:
the
--install
flag used with thehelm upgrade
command allows you to consistently use the same command to both install and upgrade SEPa YAML file with your registry access credentials, discussed later in this topic
a minimal YAML configuration file with the memory and CPU resource configurations for
coordinator:
andworker:
that reflect your cluster’s resources, for example,sep-prod-setup.yaml
a YAML file with one or more catalogs defined, for example,
sep-prod-catalogs.yaml
The following example command assumes the registry access file, the production cluster configuration file, and the catalog configuration file are located in the current directory:
$ helm upgrade my-sep starburstdata/starburst-enterprise \
--install \
--version 443.15.0 \
--values ./registry-access.yaml
--values ./sep-prod-setup.yaml
--values ./sep-prod-catalogs.yaml
The version value is available from the Helm repository.
The default values result in one coordinator and two worker nodes in the cluster, with very specific memory and CPU resources that likely will not match your cluster’s specifications. We strongly suggest that you initially install SEP with the minimal changes needed to reflect your cluster’s memory and CPU resources; then make small, focused customizations to suit your organization’s needs.
The following sections describe the initial installation and how to begin customizing SEP.
Create this one file before you begin#
No matter what other configurations you need for your deployments, create your
registry-access.yaml
file for reuse across all clusters and charts. This
helps to ensure a smooth install and deployment experience.
In your registry-access.yaml
file, add the following to configure access for
Starburst’s Harbor registry:
registryCredentials:
enabled: true
registry: harbor.starburstdata.net/starburstdata
username: <yourusername>
password: <yourpassword>
The contents of this file override the default, empty values and ensure that the Helm charts can download the required Docker containers.
If you have multiple clusters, this same file is used for all of them.
As an alternative to using a username and password directly, you can use a Kubernetes secret by creating a secret containing the access token for your registry and configuring your pod to use the secret.
Using private registries and repositories instead of Starburst Harbor#
Typically, you must use your username and password for accessing the Helm chart repositories and the Docker registry on the Starburst Harbor instance. You can instead use private Docker and Helm chart repositories.
Initial installation checklist#
The following checklist describes the initial installation process:
Gather repository credentials for the Helm chart repository and the Docker registry provided by Starburst Support.
Create the
registry-access.yaml
file to override the default, empty values.Create your correctly-sized Kubernetes cluster.
Ensure your Helm/
kubectl
configuration points at the correct cluster withkubectl cluster-info
.Add your license file.
Note
We strongly suggest using a shared secret to add the license file.
Create a minimal YAML configuration file with the memory and CPU resource configurations for
coordinator:
andworker:
that reflect your cluster’s available resources, for examplesep-prod-setup.yaml
.
Warning
Do not skip this step. The default values for memory and CPU resources likely vary significantly from your cluster’s available resources. If you attempt to run SEP with the defaults, SEP may not start.
Run Helm to install the default chart, as well as any override YAML files using the
--values
argument, as shown in the following example:
$ helm upgrade sep-prod-cluster starburstdata/starburst-enterprise \
--install \
--version 443.15.0 \
--values ./registry-access.yaml \
--values ./sep-prod-setup.yaml
Determine the IP address or the DNS hostname of the coordinator by running the
kubectl get pods
command.Use the IP address or hostname to verify the coordinator is running by accessing the Starburst Enterprise web UI. You can use the same information to connect with the CLI or the JDBC driver.
Updating to a new release#
If you have created focused, well-managed override files following our best practices guide, the upgrade process is a straightforward Helm-based process. As with any enterprise-scale application, we do recommend that you test upgrades from one release to another using a test cluster. This allows you to catch any configuration changes and update Helm charts before deploying into production:
Review the Helm charts release notes for any relevant changes that affect your override files. For example, there may be new configuration options to add, or deprecated properties to remove.
Review the SEP release notes for new capabilities and breaking changes.
Create a backup of your backend service database. Consult the documentation for the particular database that you use.
Run Helm with the updated Helm chart version and with the updated YAML configuration files, as in the following example:
$ helm upgrade my-sep-staging-cluster starburstdata/starburst-enterprise \
--install \
--version 443.15.0 \
--values ./registry-access.yaml \
--values ./sep-stage-setup.yaml
Warning
Starburst does not support downgrading to older versions of SEP. Downgrading may lead to incompatible schemas with the backend service database, data loss, and unexpected issues.
Operating SEP in a Kubernetes cluster#
Once your cluster is up and running, you can connect your clients like the CLI or a BI application using the JDBC driver.
With that usage you gain insights on the correct configuration, data sources, and sizing of the cluster for the desired usage and performance. This in turn leads you to further work such as updating configuration, scaling your cluster, or even upgrading to a newer release.
This topic covers these and other aspects associated to running your SEP cluster, or even clusters.
Running SEP#
Once you have successfully installed
SEP, you can confirm that the coordinator pod is running with tools such as
kubectl
or Octant.
You can also check the log in the server pod. A successful start of the coordinator, and also each worker, shows with a log entry similar to the following snippet:
INFO main io.trino.server.Server ======== SERVER STARTED ========
With these checks performed, you can access the Starburst Enterprise web UI on the coordinator. Determine the FQDN and port of the coordinator as configured in the expose section of the Helm chart.
A default deployment exposes the UI via HTTP and does not require a password. Production deployments should use HTTPS and have authentication configured.
The main page of the web UI displays the number of connected workers. Confirm
that the number is identical to the number specified by the worker.replicas
value of the worker section of the Helm chart. The
default number of workers is two.
Updating and upgrading#
From time to time you need to make incremental changes to your configuration or move to a new release. To do so:
Create or update the correct YAML files with the new or changed configuration properties.
Run the helm upgrade command with the updated version of the chart.
Verify that the desired changes are applied successfully. We suggest making changes to one area of the application at a time.
Repeat the process with the next desired change.
Typically Helm applies the relevant changes in a granular fashion. For example, if you change the worker configuration, no coordinator changes are performed and the coordinator continues to run while workers are updated.
If you need to ensure that pods are recreated completely, you can use the
--recreate-pods
option for your helm
command. This essentially restarts
all workers as well as the coordinator and therefore restarts the cluster. This
includes a downtime for users.
Scaling#
You can scale your SEP cluster manually by adding more workers. This is done by updating the worker replicas and updating your deployment. Sufficient resources available in the cluster is a requirement.
Alternatively, you can enable autoscaling in your worker configuration and updating the deployment. Sufficient resources available in the cluster is a requirement.
You can also increase the memory resources allocated to the workers and updating your deployment, if sufficiently sized pods are available and you recreate pods as part of the update.
Next steps#
Learn about operating your cluster.
Install and configure a metastore if you use object storage, the Starburst caching service, or data products.
[Optional] Install and configure the Starburst cache service.