Lambda Serving

Framework supporting serving components of an application following the lambda architecture

License	The Apache Software License, Version 2.0
Categories	Oryx Business Logic Libraries Machine Learning
GroupId	com.cloudera.oryx
ArtifactId	oryx-lambda-serving
Last Version	2.8.0
Release Date	Nov 25, 2018
Type	jar
Description	Lambda Serving Framework supporting serving components of an application following the lambda architecture

Download oryx-lambda-serving

Filename	Size
oryx-lambda-serving-2.8.0.pom
oryx-lambda-serving-2.8.0.jar	24 KB
oryx-lambda-serving-2.8.0-tests.jar	31 KB
oryx-lambda-serving-2.8.0-sources.jar	18 KB
oryx-lambda-serving-2.8.0-javadoc.jar	61 KB

How to add to project

Apache Maven

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

Gradle Groovy

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

Gradle Kotlin

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

Apache Buildr

'com.cloudera.oryx:oryx-lambda-serving:jar:2.8.0'

Apache Ivy

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

Groovy Grape

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

Scala SBT

libraryDependencies += "com.cloudera.oryx" % "oryx-lambda-serving" % "2.8.0"

Leiningen

[com.cloudera.oryx/oryx-lambda-serving "2.8.0"]

Dependencies

compile (11)

Group / Artifact	Type	Version
org.scala-lang : scala-library	jar	2.11.12
com.cloudera.oryx : kafka-util	jar	2.8.0
com.cloudera.oryx : oryx-common	jar	2.8.0
com.cloudera.oryx : oryx-api	jar	2.8.0
org.apache.kafka : kafka-clients	jar	2.0.1
javax.servlet : javax.servlet-api	jar	4.0.1
javax.annotation : javax.annotation-api	jar	1.3.2
org.apache.tomcat : tomcat-catalina	jar	9.0.13
org.apache.tomcat : tomcat-coyote	jar	9.0.13
javax.ws.rs : javax.ws.rs-api	jar	2.1.1
org.reflections : reflections	jar	0.9.10

test (11)

Group / Artifact	Type	Version
junit : junit	jar	4.12
org.glassfish.jersey.test-framework.providers : jersey-test-framework-provider-grizzly2	jar	2.27
org.glassfish.jersey.containers : jersey-container-grizzly2-servlet	jar	2.27
org.glassfish.jersey.connectors : jersey-apache-connector	jar	2.27
org.glassfish.jersey.media : jersey-media-json-jackson	jar	2.27
org.glassfish.jersey.media : jersey-media-multipart	jar	2.27
org.glassfish.jersey.inject : jersey-hk2	jar	2.27
org.springframework : spring-test	jar	5.1.2.RELEASE
com.cloudera.oryx : oryx-common	jar	2.8.0
com.cloudera.oryx : oryx-lambda	jar	2.8.0
com.cloudera.oryx : kafka-util	jar	2.8.0

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