@helm-charts/banzaicloud-stable-zeppelin NPM

`@helm-charts/banzaicloud-stable-zeppelin`

A Helm chart for Kubernetes

Field	Value
Repository Name	banzaicloud-stable
Chart Name	zeppelin
Chart Version	0.0.17
NPM Package Version	0.1.0

# Default values for zeppelin
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
replicaCount: 1

image:
  repository: banzaicloud/zeppelin-server
  tag: v0.9.0-k8s-1.0.76
  pullPolicy: IfNotPresent

resources:
  limits:
    cpu: 2
    memory: 2048
  requests:
    cpu: 500m
    memory: 1024

additionalOptions:

nodeSelector: {}

tolerations: []

affinity: {}

service:
  type: ClusterIP
  internalPort: 8080
  externalPort: 8080
  rpcPort: 38853

userCredentialSecretName: ''
username: 'admin'
password: 'zeppelin'

interpreterConnectTimeout: 120000

ingress:
  baseUrl: '/zeppelin'
  enabled: false
  annotations:
    {}
    #kubernetes.io/ingress.class: traefik
    #ingress.kubernetes.io/ssl-redirect: "false"
    #traefik.frontend.rule.type: PathPrefix
  hosts:
    - '/'
    # - "domain.com/xyz"
    # - "domain.com"
  tls: []
  #  - secretName: chart-example-tls
  #    hosts:
  #      - chart-example.local

logService:
  zeppelinLogLevel: DEBUG
  zeppelinFacility: LOCAL4
  zeppelinLogPattern: '%5p [%d] ({%t} %F[%M]:%L) - %m%n'
  sparkLogLevel: INFO
  sparkFacility: LOCAL4
  sparkLogPattern: '[%p] XXX %c:%L - %m%n'
  applicationLoggerName: application
  applicationLogLevel: INFO
  applicationFacility: LOCAL4
  applicationLogPattern: '[%p] XXX %c:%L - %m%n'

notebookStorage:
  type: ''
  path: ''
azureStorageAccountName: ''
azureStorageAccessKey: ''

sparkSubmitOptions:
  sparkImage:
    name: banzaicloud/zeppelin-spark
    tag: v0.9.0-k8s-1.0.76
  k8sNameSpace: default
  sparkDriverCores: 1
  sparkDriverLimitCores: 1
  sparkExecutorCores: 1
  sparkDriverMemory: 1G
  sparkExecutorMemory: 1G
  dynamicAllocation: false
  shuffleService: false
  driverServiceAccountName: 'spark'
  sparkLocalDir: /tmp/spark-local

sparkEventLogStorage:
  cloudProvider: ''
  logDirectory: ''
  secretName: ''

  awsAccessKeyId: ''
  awsSecretAccessKey: ''

  aliOssEndpoint: ''
  aliOssRegion: ''
  aliAccessKeyId: ''
  aliSecretAccessKey: ''

  azureStorageAccessKey: ''
  azureStorageAccountName: ''

  googleJson: ''

  oracleRegion: ''
  oracleHost: ''
  oracleTenancyId: ''
  oracleUserId: ''
  oracleApiKeyFingerprint: ''

Zeppelin Chart

Zeppelin is a web based notebook for interactive data analytics with Spark, SQL and Scala.

Chart Details

Installing the Chart

To install the chart:

$ helm install banzaicloud-stable/zeppelin

Configuration

The following tables lists the configurable parameters of the Zeppelin Sever chart and their default values, in case you want to preserve your Spark application logs on S3 or Azure storage.

Parameter	Required	Description	Example
username	no	Admin username, by default is `admin`
password	no	Salted password of admin user, by default is `zeppelin`	You can salt your own password using shiro cli tool `java -jar ~/dev/tools/shiro-tools-hasher-1.3.2-cli.jar -p`
userCredentialSecretName	no	Credentials above are set in a K8s secret. Instead of specifying username & password directly you can provide the name of this K8s secret containing these fields
logService.host	yes if you want to send logs to Syslog	Host address of Syslog service	10.44.0.12
logService.zeppelinLogPort	yes if you want to send logs to Syslog	UDP port for Zeppelin logs	512
logService.sparkLogPort	yes if you want to send logs to Syslog	UDP port for Spark Driver and Executor logs	512
logService.applicationLogPort	yes if you want to send logs to Syslog	UDP port for Application logs	512
logService.applicationLoggerName	no	Name of log4j logger for Application logs	by default: application
logService.zeppelinLogLevel	no	log4j log level for Zeppelin logs	by default: DEBUG
logService.zeppelinLogPattern	no	log4j log pattern for Zeppelin logs	by default: "%5p %d ({%t} %F%M:%L) - %m%n"
logService.sparkLogLevel	no	log4j log level for Spark logs	by default: INFO
logService.sparkLogPattern	no	log4j log pattern for Spark logs	by default: "%p %c:%L - %m%n"
logService.applicationLogLevel	no	log4j log level for Application logs	by default: INFO
logService.applicationLogPattern	no	log4j log pattern for Application logs	by default: "%p %c:%L - %m%n"
sparkSubmitOptions.eventLogDirectory	yes	the URL to the directory for event logs	s3a://yourBucketNamewasb://your_blob_container_name@you_storage_account_name.blob.core.windows.netgs://yourBucketName
notebookStorage.type	no	storage type for notebooks	s3azuregsby default no storage is configured
notebookStorage.path	no	storage path for notebooks	bucket name in case of S3 / GS, file share name for Azure
azureStorageAccountName	only in case of using Azure Storage	Name of your Azure storage account	see Notes
azureStorageAccessKey	only in case of using Azure Storage	Access key for your Azure storage account	see Notes

Notes

in case of using S3 and Google Storage, we don't pass credentials and access keys we're using IAM roles and policies on Amazon and Service Account based access on Google Cloud
in case of Azure the storage account name would be the dns prefix it's created (e.g. mystorage.blob.core.windows.net - the name would be mystorage), and you can you either the primary or secondary keys

tslib

@everything-registry/sub-chunk-391 @zalastax/nolb-_hel @infinitebrahmanuniverse/nolb-_hel

0.0.17-0.1.0

5 years ago

0.0.16-0.1.0

5 years ago