ammonium-util

License	APL2
Categories	IDE Development Tools
GroupId	com.videoamp
ArtifactId	ammonium-util_2.11
Last Version	2.0.1
Release Date	Aug 18, 2017
Type	jar
Description	ammonium-util ammonium-util
Project URL	https://github.com/VideoAmp/ammonium-util
Project Organization	com.videoamp
Source Code Management	https://github.com/VideoAmp/ammonium-util

Download ammonium-util_2.11

Filename	Size
ammonium-util_2.11-2.0.1.pom
ammonium-util_2.11-2.0.1.jar	34 KB
ammonium-util_2.11-2.0.1-sources.jar	2 KB
ammonium-util_2.11-2.0.1-javadoc.jar	368 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/com.videoamp/ammonium-util_2.11/ -->
<dependency>
    <groupId>com.videoamp</groupId>
    <artifactId>ammonium-util_2.11</artifactId>
    <version>2.0.1</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/com.videoamp/ammonium-util_2.11/
implementation 'com.videoamp:ammonium-util_2.11:2.0.1'

Gradle Kotlin

// https://jarcasting.com/artifacts/com.videoamp/ammonium-util_2.11/
implementation ("com.videoamp:ammonium-util_2.11:2.0.1")

Apache Buildr

'com.videoamp:ammonium-util_2.11:jar:2.0.1'

Apache Ivy

<dependency org="com.videoamp" name="ammonium-util_2.11" rev="2.0.1">
  <artifact name="ammonium-util_2.11" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='com.videoamp', module='ammonium-util_2.11', version='2.0.1')
)

Scala SBT

libraryDependencies += "com.videoamp" % "ammonium-util_2.11" % "2.0.1"

Leiningen

[com.videoamp/ammonium-util_2.11 "2.0.1"]

Dependencies

compile (3)

Group / Artifact	Type	Version
org.scala-lang : scala-library	jar	2.11.11
com.github.pathikrit : better-files_2.11	jar	2.16.0
io.argonaut : argonaut_2.11	jar	6.2

provided (1)

Group / Artifact	Type	Version
org.jupyter-scala : ammonite-runtime_2.11.11	jar	0.8.3

Project Modules

There are no modules declared in this project.

VideoAmp's Ammonium Utils

These utilities consist principally of a bootstrapping system for connecting to a Flint Spark cluster from an Ammonium shell or Jupyter Scala notebook.

Usage

Assuming you have a Flint Spark master running at ip address masterIP, run

interp.load.ivy("com.videoamp" %% "ammonium-util" % "2.0.2")
# dc3
vamp.ammonium.bootstrap(masterIP, env="dc3")
# use1
vamp.ammonium.bootstrap(masterIP, env="use1")

in a Jupyter Scala notebook to bind a SparkConf to the sparkConf variable in your notebook environment. After configuring Spark through sparkConf, you can access a bootstrapped and configured SparkSession with the spark notebook variable.

Versions

Version
2.0.1 Aug 18, 2017