Code and examples of how to write and deploy Apache Spark Plugins. Spark plugins allow runnig custom code on the executors as they are initialized. This also allows extending the Spark metrics systems with user-provided monitoring probes.
spark-plugins 0.2
Group ID:
ch.cern.sparkmeasure
Artifact ID:
spark-plugins_2.13
Version:
0.2
Release Date:
Aug 26, 2022
Licenses:
Files:
Full Scala Version:
2.13.8
Developers:
libraryDependencies += "ch.cern.sparkmeasure" %% "spark-plugins" % "0.2"
ivy"ch.cern.sparkmeasure::spark-plugins:0.2"
//> using dep "ch.cern.sparkmeasure::spark-plugins:0.2"
import $ivy.`ch.cern.sparkmeasure::spark-plugins:0.2`
<dependency> <groupId>ch.cern.sparkmeasure</groupId> <artifactId>spark-plugins_2.13</artifactId> <version>0.2</version> </dependency>
compile group: 'ch.cern.sparkmeasure', name: 'spark-plugins_2.13', version: '0.2'
Documentation
4 Dependencies
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2.13.8