hydrospheredata / mist

Serverless proxy for Spark cluster

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Hydrosphere Mist

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Hydrosphere Mist is a serverless proxy for Spark cluster. Mist provides a new functional programming framework and deployment model for Spark applications.

Please see our quick start guide and documentation

Features:

  • Spark Function as a Service. Deploy Spark functions rather than notebooks or scripts.
  • Spark Cluster and Session management. Fully managed Spark sessions backed by on-demand EMR, Hortonworks, Cloudera, DC/OS and vanilla Spark clusters.
  • Typesafe programming framework that clearly defines inputs and outputs of every Spark job.
  • REST HTTP & Messaging (MQTT, Kafka) API for Scala & Python Spark jobs.
  • Multi-cluster mode: Seamless Spark cluster on-demand provisioning, autoscaling and termination(pending) Cluster of Spark Clusters

It creates a unified API layer for building enterprise solutions and microservices on top of a Spark functions.

Mist use cases

High Level Architecture

High Level Architecture

Contact

Please report bugs/problems to: https://github.com/Hydrospheredata/mist/issues.

http://hydrosphere.io/

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Documentation

libraryDependencies += "io.hydrosphere" %% "mist" % "0.2.0"
Ammonite REPL 
import $ivy.`io.hydrosphere::mist:0.2.0`
<dependency>
  <groupId>io.hydrosphere</groupId>
  <artifactId>mist_2.10</artifactId>
  <version>0.2.0</version>
</dependency>
compile group: 'io.hydrosphere', name: 'mist_2.10', version: '0.2.0'
Mill build tool 
ivy"io.hydrosphere::mist:0.2.0"
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