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
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Platform:
Apache Spark Configuration Management
Apache Spark comes with a wide range of configuration properties that can be fed into Apache Spark using a single property file, e.g. spark.properties, or by passing configuration values on the command line, as an argument to spark-submit, pyspark and spark-shell.
Charmed Apache Spark improves on this capability by enabling a set of hierarchical layers of configurations, that are merged and overridden based on a precedence rule.
Each layer may also be linked to a particular component of the Charmed Apache Spark solution. For more information about components, see the components overview page.
Using the different layers appropriately allow to organize and centralize configuration definition consistently for groups, single users, single environment and session. The sections below summarize the hierarchical levels of configurations. The final configuration is resolved by merging the different layers, starting from top to bottom, overriding the latter sources on top of previous ones in case of multi-level definitions.
Group configuration
Group configurations are centrally stored as secrets in K8s,
and managed by spark-integration-hub-k8s charm that takes care of managing
their lifecycle from creation, modification and deletion. Please refer to this how-to guide
for more information on the usage of the spark-integration-hub-k8s charm for
setting up group configurations. Theese are valid across users, machines and sessions.
User configuration
User configurations are centrally stored as secrets in K8s, but they are
managed by the user using the spark-client snap and/or spark8t Python library.
For more information, please refer to
here for the spark-client
snap and here for the spark8t
Python library. They are valid across machines and sessions.
Environment configuration
Environment configurations are stored in your local environment, and they can apply to multiple Apache Spark users launched/used from the same machine. They are valid across users and sessions. These configurations may be stored in:
- static properties files specified via environment variable
SPARK_CLIENT_ENV_CONF $SNAP_DATA/etc/spark8t/spark-defaults.conf
The file specified by the environment variable takes the precedence.
Session configuration
Session configurations are provided as CLI arguments to the spark-client command,
and they are only valid for the related command/session. CLI configurations may
be provided by:
- Single Property specified using parameter(s)
--conf <key>=<value> - Properties Files specified using parameter(s)
--properties-file
Single Property takes the precedence.