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[Improvement] Define a general Helm chart configuration approach #6123

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@dnskr

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@dnskr

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What would you like to be improved?

There is no clear common approach at the moment on how to configure Kyuubi deployment if the Helm chart is used.
I would like to discuss requirements, limitations and different options to choose one approach to follow and support it in the Kyuubi Helm chart configuration. The problem has been mentioned and discussed in multiple issues and PRs, so the idea is to collect all opinions in one place and make the decision.

Configuration system of the Apache Kyuubi
The configuration system allows to configure values using the following options (ordered from low to high prio):

  1. [static] Kyuubi configuration files
  2. [static] Hadoop configuration files
  3. [static] Engine (Spark, Flink, Trino etc) configuration files
  4. [runtime] Environment variables
  5. [runtime] JDBC Connection URLs
  6. [runtime] SET Statements

Runtime options JDBC Connection URLs and SET Statements
Can be skipped in the discussion, because they used only when Kyuubi is up and running.

Runtime option Environment variables
Configured by {{ .Values.env }} and {{ .Values.envFrom }} value properties.
The Helm chart users can specify environment variables to provide necessary configuration values with low effort if needed. The properties also allow to use provided (existing) ConfigMaps and Secrets as the sources of environment variables, for instance:

env:
  - name: ENV_VALUE
    value: env-value
  - name: ENV_FROM_CONFIGMAP_KEY
    valueFrom:
      configMapKeyRef:
        name: env-configmap
        key: env-key

envFrom:
  - configMapRef:
      name: all-env-configmap

Static options
Represented by configuration files which should be located in each Kyuubi container in specific paths.
In general case, the easiest way to provide files into Kubernetes pod (container) is to mount ConfigMap or Secret to a specific path.

Requirements
Note: this section is subject to discuss.

  1. Ability to create ConfigMaps under the hood from value properties of value.yaml file.
    Secrets should never be created and managed by Helm chart because of security consideration!
  2. Ability to specify existing (created outside the chart) ConfigMaps and Secrets by resource name as a reference.
  3. Ability to provide multiple existing ConfigMaps and Secrets with priority order.
    Multiple ConfigMaps and Secrets might have key duplicates, so the implementation should clearly resolve the collision by merging keys in priority order.
  4. Ability to mix ConfigMaps managed by the chart with ConfigMaps and Secrets provided by user with priority order.
    The issue with key duplicates should be clearly resolved. ConfigMaps managed by the chart should have the lowest prio.
  5. The approach should work for Helm and GitOps tools like ArgoCD, Flux etc.
  6. Easy way to specify one or many configuration files as Helm values, i.e. properties in value.yaml file.
    Some configuration files might be huge and complex, so the idea is to prevent identation issues in values.yaml file.
  7. Easy way to create ConfigMaps and Secrets from one or many configuration files.
    Users might have a lot of xml, properties and other files, so the idea is to help users to create ConfigMap and Secret resources in a simple way.

How should we improve?

Approach
Note: this section is subject to discuss.

  1. Group configuration file properties in values.yaml by system like Kyuubi, Hadoop, Spark, Trino etc.
kyuubiConfDir: /opt/kyuubi/conf
kyuubiConf:
  ...

sparkConfDir: /opt/spark/conf
sparkConf:
  ...
  1. Use files property to specify various files.
    Users can define files with any file name. Each entity within files property used as a key/value pair in the corresponding ConfigMap.
sparkConf:
  files:
    'spark-env.sh': |
      #!/usr/bin/env bash
      export SPARK_LOG_DIR=/opt/spark/logs
    'spark-defaults.conf': |
      spark.submit.deployMode=cluster
  1. Use filesFrom property to specify list of existing ConfigMaps and Secrets to be mounted to the configuration path of Kyuubi container.
sparkConf:
  filesFrom:
    - configMap:
        name: my-spark-confs
    - secret:
        name: my-sensetive-spark-confs
    - secret:
        name: my-sensetive-spark-confs-2
        items:
          - key: secretKey
            path: filename.xml

The implementation idea is to use Projected Volumes with core/v1/SecretProjection and core/v1/ConfigMapProjection entities.
Also it will allow to merge ConfigMap created from files property with the entities from filesFrom property.

  1. Move xxxConfDir property to xxxConf property.
sparkConf:
  dir: /opt/spark/conf
  1. Configuration example for Spark
sparkConf:
  dir: /opt/spark/conf
  files:
    'spark-env.sh': |
      #!/usr/bin/env bash
      export SPARK_LOG_DIR=/opt/spark/logs
    'spark-defaults.conf': |
      spark.submit.deployMode=cluster
  filesFrom:
    - configMap:
        name: my-spark-confs
    - secret:
        name: my-sensetive-spark-confs
    - secret:
        name: my-sensetive-spark-confs-2
        items:
          - key: secretKey
            path: filename.xml
  1. Provide documentation with examples on how to set file content as a property when installing the chart, see Helm docs.
helm install kyuubi charts/kyuubi --set-file kyuubiConf.log4j2=kyuubi/conf/log4j2.xml.template
  1. Provide documentation with examples on how to create ConfigMap from file or directory, see Kubernetes docs .
kubectl create configmap my-spark-configs --from-file=prod/spark-configs/

Are you willing to submit PR?

  • Yes. I would be willing to submit a PR with guidance from the Kyuubi community to improve.
  • No. I cannot submit a PR at this time.

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