API

Developer APIs

License	The Apache Software License, Version 2.0
Categories	Oryx Business Logic Libraries Machine Learning
GroupId	com.cloudera.oryx
ArtifactId	oryx-api
Last Version	2.8.0
Release Date	Nov 25, 2018
Type	jar
Description	API Developer APIs

Download oryx-api

Filename	Size
oryx-api-2.8.0.pom
oryx-api-2.8.0.jar	25 KB
oryx-api-2.8.0-sources.jar	24 KB
oryx-api-2.8.0-javadoc.jar	101 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/com.cloudera.oryx/oryx-api/ -->
<dependency>
    <groupId>com.cloudera.oryx</groupId>
    <artifactId>oryx-api</artifactId>
    <version>2.8.0</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/com.cloudera.oryx/oryx-api/
implementation 'com.cloudera.oryx:oryx-api:2.8.0'

Gradle Kotlin

// https://jarcasting.com/artifacts/com.cloudera.oryx/oryx-api/
implementation ("com.cloudera.oryx:oryx-api:2.8.0")

Apache Buildr

'com.cloudera.oryx:oryx-api:jar:2.8.0'

Apache Ivy

<dependency org="com.cloudera.oryx" name="oryx-api" rev="2.8.0">
  <artifact name="oryx-api" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='com.cloudera.oryx', module='oryx-api', version='2.8.0')
)

Scala SBT

libraryDependencies += "com.cloudera.oryx" % "oryx-api" % "2.8.0"

Leiningen

[com.cloudera.oryx/oryx-api "2.8.0"]

Dependencies

compile (6)

Group / Artifact	Type	Version
com.typesafe : config	jar	1.3.3
org.apache.spark : spark-core_2.11	jar	2.4.0
org.apache.hadoop : hadoop-client	jar	3.1.1
javax.ws.rs : javax.ws.rs-api	jar	2.1.1
javax.servlet : javax.servlet-api	jar	4.0.1
javax.annotation : javax.annotation-api	jar	1.3.2

Project Modules

There are no modules declared in this project.

Oryx 2 is a realization of the lambda architecture built on Apache Spark and Apache Kafka, but with specialization for real-time large scale machine learning. It is a framework for building applications, but also includes packaged, end-to-end applications for collaborative filtering, classification, regression and clustering.

Proceed to the Oryx 2 site for full documentation.

Just looking to deploy a ready-made, end-to-end application for collaborative filtering, clustering or classification? Easy. Proceed directly to:

• Prepare your Hadoop cluster with Cluster Setup
• Get a Release
• Prepare a config file from the Configuration Reference
• Run the binaries with Running Oryx
• Learn about the REST API endpoints you can call in the API Endpoint Reference

Developers can consume Oryx 2 as a framework for building custom applications as well. Following the architecture overview below, proceed to Making an Oryx App to learn how to create a new application. You can review a module diagram as well to understand the project structure.

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Oryx Project

Realization of the lambda architecture on Spark and Kafka with specialization for real-time large scale machine learning

Versions

Version
2.8.0 Nov 25, 2018
2.7.2 Oct 6, 2018
2.7.1 Aug 9, 2018
2.7.0 Aug 3, 2018
2.6.0 Oct 27, 2017
2.5.0 Sep 6, 2017
2.4.1 Jun 1, 2017
2.4.0 Apr 24, 2017
2.3.0 Mar 12, 2017