Apache Flink packaged by Bitnami¶

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

Overview of Apache Flink

Trademarks: This software listing is packaged by Bitnami. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

TL;DR¶

使用加速地址添加仓库:

helm repo add bitnami "https://helm-charts.itboon.top/bitnami" --force-update
helm update bitnami

helm install my-release bitnami/flink

Introduction¶

This chart bootstraps a flink deployment on a Kubernetes cluster using the Helm package manager.

Bitnami charts can be used with Kubeapps for deployment and management of Helm Charts in clusters.

Looking to use Apache Flink in production? Try VMware Application Catalog, the enterprise edition of Bitnami Application Catalog.

Prerequisites¶

• Kubernetes 1.19+
• Helm 3.2.0+
• PV provisioner support in the underlying infrastructure
• ReadWriteMany volumes for deployment scaling

Installing the Chart¶

To install the chart with the release name my-release:

helm install my-release bitnami/flink

These commands deploy flink on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation.

Tip: List all releases using helm list

Uninstalling the Chart¶

To uninstall/delete the my-release statefulset:

helm delete my-release

The command removes all the Kubernetes components associated with the chart and deletes the release. Use the option --purge to delete all history too.

Parameters¶

Global parameters¶

Common parameters¶

Apache Flink parameters¶

Jobmanager deployment parameters¶

TaskManager deployment parameters¶

Configuration and installation details¶

Rolling VS Immutable tags¶

It is strongly recommended to use immutable tags in a production environment. This ensures your deployment does not change automatically if the same tag is updated with a different image.

Bitnami will release a new chart updating its containers if a new version of the main container, significant changes, or critical vulnerabilities exist.

Persistence¶

The Bitnami Flink image stores the trace onto an external database. Persistent Volume Claims are used to keep the data across deployments.

Additional environment variables¶

In case you want to add extra environment variables (useful for advanced operations like custom init scripts), you can use the extraEnvVars property inside each of the subsections: jobmanager, taskmanager.

jobmanager:
  extraEnvVars:
    - name: ENV_VAR_NAME
      value: ENV_VAR_VALUE
taskmanager:
  extraEnvVars:
    - name: ENV_VAR_NAME
      value: ENV_VAR_VALUE

Alternatively, you can use a ConfigMap or a Secret with the environment variables. To do so, use the extraEnvVarsCM or the extraEnvVarsSecret values.

Sidecars¶

If additional containers are needed in the same pod as flink (such as additional metrics or logging exporters), they can be defined using the sidecars parameter inside each of the subsections: jobmanager, taskmanager . If these sidecars export extra ports, extra port definitions can be added using the service.extraPorts parameter. Learn more about configuring and using sidecar containers.

Pod affinity¶

This chart allows you to set your custom affinity using the affinity parameter. Find more information about Pod affinity in the kubernetes documentation.

As an alternative, use one of the preset configurations for pod affinity, pod anti-affinity, and node affinity available at the bitnami/common chart. To do so, set the podAffinityPreset, podAntiAffinityPreset, or nodeAffinityPreset parameters inside each of the subsections: jobmanager, taskmanager.

Troubleshooting¶

Find more information about how to deal with common errors related to Bitnami's Helm charts in this troubleshooting guide.

License¶

Copyright © 2023 VMware, Inc.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.