Charmed Spark K8s
- Canonical | bundle
Channel | Revision | Published |
---|---|---|
latest/edge | 4 | 06 Aug 2024 |
3.4/edge | 4 | 06 Aug 2024 |
juju deploy spark-k8s-bundle --channel edge
Deploy Kubernetes operators easily with Juju, the Universal Operator Lifecycle Manager. Need a Kubernetes cluster? Install MicroK8s to create a full CNCF-certified Kubernetes system in under 60 seconds.
Platform:
Enable and configuring Spark monitoring
Charmed Spark supports native integration with the Canonical Observability Stack (COS). If you want to enable monitoring on top of Charmed Spark, make sure that you have a Juju model with COS correctly deployed. To deploy COS on MicroK8s, follow the step-by-step tutorial. For more information about Charmed Spark and COS integration, refer to the COS documentation and the monitoring explanation section.
Once COS is correctly setup, to enable monitoring it is necessary to:
- Integrate and configure the COS bundle with Charmed Spark
- Configure the Spark service account
Integrating/Configuring with COS
The Charmed Spark solution already bundles all the components required to integrate COS as well as to configure the monitoring artifacts.
The deployments of these resources can be enabled/disabled using either overlays (for Juju bundles) or input variables (for Terraform bundles). Please refer to the how-to deploy guide for more information.
After the deployment settles on an active/idle
state, you can make sure that
Grafana is correctly setup with dedicated dashboards.
To do so, retrieve the credentials for logging into the Grafana dashboard, by
switching to the COS model (using juju switch <cos_model>
) and
using the following action:
juju run grafana/leader get-admin-password
The action will also show you the grafana endpoint where you will be able to
log in with the provided credentials for the admin
user.
After the login, Grafana will show a new dashboard: Spark Dashboard
where
the Spark metrics will be displayed.
Customize Charmed Spark dashboards
The cos-configuration-k8s
charm included in the bundle can be used to customise
the Grafana dashboard. If needed, we provide a default dashboard as part
of the bundle.
The cos-configuration-k8s
charm syncs the content of a repository with the resources
provided to Grafana, thus enabling versioning of the resource.
You can specify the repository, branch and folder using the config options, i.e.
# deploy cos configuration charm to import the grafana dashboard
juju config cos-configuration \
git_repo=<your-repo> \
git_branch=<your-branch> \
git_depth=1 \
grafana_dashboards_path=<path-to-dashboard-folder>
After updating the configuration or whenever the repository is updated,
contents is synced either upon a update-status
event or after running the action:
juju run cos-configuration-k8s/leader sync-now
For more information, refer to the cos-configuration-k8s
charm docs.
Configuring Scraping intervals
The prometheus-scrape-config-k8s
charm included in the bundle can be used to configure
the prometheus scraping jobs.
In particular, it is crucial to configure the scraping interval to make sure data points have proper sampling frequency, e.g.
juju config scrape-config --config scrape_interval=<SCRAPE_INTERVAL>
For more information about the properties that can be set using prometheus-scrape-config-k8s
,
please refer to here.
Enable Log Forwarding to Loki
Logs from each driver or executor can be enabled using two Spark configuration options:
spark.executorEnv.LOKI_URL
spark.kubernetes.driverEnv.LOKI_URL
They are used to forward executor and driver logs respectively to a Loki server.
There are two ways to provide the LOKI_URL
variable:
- Manually, via Spark configuration
spark.executorEnv.LOKI_URL
- for executorsspark.kubernetes.driverEnv.LOKI_URL
- for drivers
- Using the
logging
relation in a Spark integration hub charm either with the Grafana-agent charm (recommended) directly with the Loki charm.
For example:
juju integrate spark-integration-hub-k8s:logging grafana-agent-k8s:logging-provider
Configure Spark service account
Charmed Spark service account created by spark-client
snap and spark8t
Python library
are automatically configured to use monitoring by the
spark-integration-hub-k8s charm, that
is deployed as part of the Charmed Spark bundle.
Just make sure that the spark-integration-hub-k8s
charm is correctly related to
the prometheus-pushgateway
charm on the pushgateway
interface.
You can also double-check that the configuration done by the spark-integration-hub-k8s
was effective by inspecting the Charmed Spark service account properties using the snap
spark-client.service-account-registry get-config --username <username> --namespace <namespace>
and check that the following property
spark.metrics.conf.driver.sink.prometheus.pushgateway-address=<PROMETHEUS_GATEWAY_ADDRESS>:<PROMETHEUS_PORT>
is configured with the correct values. The Prometheus Pushgateway address and port should be can be consistent with what is exposed by Juju, e.g.
PROMETHEUS_GATEWAY=$(juju status --format=yaml | yq ".applications.prometheus-pushgateway-k8s.address")
NOTE Beside the one above, the Charmed Spark service accounts are configured for exporting metrics by means of other properties, returned by the
get-config
command. Should you want to override some of these with other custom values, this can be done by either: