stable/zeppelin

Chart version: 1.1.3
Api version: v1
App version: 0.7.2
DEPRECATED - Web-based notebook that enables data-driven, inter...
application
Chart Type
DEPRECATED
Status
Unknown
License
1107
Downloads
https://charts.helm.sh/stable
Set me up:
helm repo add center https://repo.chartcenter.io
Install Chart:
helm install zeppelin center/stable/zeppelin
Versions (0)

⚠️ Repo Archive Notice

As of Nov 13, 2020, charts in this repo will no longer be updated. For more information, see the Helm Charts Deprecation and Archive Notice, and Update.

Zeppelin Chart

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

DEPRECATION NOTICE

This chart is deprecated and no longer supported.

Chart Details

Installing the Chart

To install the chart:

$ helm install stable/zeppelin

Configuration

The following table lists the configurable parameters of the Zeppelin chart and their default values.

Parameter Description Default
zeppelin.image Zeppelin image dylanmei/zeppelin:{VERSION}
zeppelin.resources Resource limits and requests limits.memory=4096Mi, limits.cpu=2000m
spark.driverMemory Memory used by Spark driver (Java notation) 1g
spark.executorMemory Memory used by Spark executors (Java notation) 1g
spark.numExecutors Number of Spark executors 2
hadoop.useConfigMap Use external Hadoop configuration for Spark executors false
hadoop.configMapName Name of the hadoop config map to use (must be in same namespace) hadoop-config
hadoop.configPath Path in the Zeppelin image where the Hadoop config is mounted /usr/hadoop-2.7.3/etc/hadoop
ingress.enabled Enable ingress false
ingress.annotations Ingress annotations {}
ingress.hosts Ingress Hostnames ["zeppelin.local"]
ingress.path Path within the URL structure /
ingress.tls Ingress TLS configuration []
nodeSelecor Node selector for the Zeppelin deployment {}

Related charts

The Hadoop chart can be used to create a YARN cluster where Spark jobs are executed:

helm install -n hadoop stable/hadoop
helm install --set hadoop.useConfigMap=true,hadoop.configMapName=hadoop-hadoop stable/zeppelin

Note that you may also want to set the spark.numExecutors value to match the number of yarn NodeManager replicas and the executorMemory value to half of the NodeManager memory limit.