mist-lib


License

License

GroupId

GroupId

io.hydrosphere
ArtifactId

ArtifactId

mist-lib_2.12
Last Version

Last Version

1.1.3
Release Date

Release Date

Type

Type

jar
Description

Description

mist-lib
mist-lib
Project URL

Project URL

https://github.com/Hydrospheredata/mist
Project Organization

Project Organization

io.hydrosphere
Source Code Management

Source Code Management

https://github.com/Hydrospheredata/mist

Download mist-lib_2.12

How to add to project

<!-- https://jarcasting.com/artifacts/io.hydrosphere/mist-lib_2.12/ -->
<dependency>
    <groupId>io.hydrosphere</groupId>
    <artifactId>mist-lib_2.12</artifactId>
    <version>1.1.3</version>
</dependency>
// https://jarcasting.com/artifacts/io.hydrosphere/mist-lib_2.12/
implementation 'io.hydrosphere:mist-lib_2.12:1.1.3'
// https://jarcasting.com/artifacts/io.hydrosphere/mist-lib_2.12/
implementation ("io.hydrosphere:mist-lib_2.12:1.1.3")
'io.hydrosphere:mist-lib_2.12:jar:1.1.3'
<dependency org="io.hydrosphere" name="mist-lib_2.12" rev="1.1.3">
  <artifact name="mist-lib_2.12" type="jar" />
</dependency>
@Grapes(
@Grab(group='io.hydrosphere', module='mist-lib_2.12', version='1.1.3')
)
libraryDependencies += "io.hydrosphere" % "mist-lib_2.12" % "1.1.3"
[io.hydrosphere/mist-lib_2.12 "1.1.3"]

Dependencies

compile (2)

Group / Artifact Type Version
org.scala-lang : scala-library jar 2.12.7
io.hydrosphere : shadedshapeless_2.12 jar 2.3.3

provided (4)

Group / Artifact Type Version
org.apache.spark : spark-core_2.12 jar 2.4.0
org.apache.spark : spark-sql_2.12 jar 2.4.0
org.apache.spark : spark-hive_2.12 jar 2.4.0
org.apache.spark : spark-streaming_2.12 jar 2.4.0

test (3)

Group / Artifact Type Version
org.slf4j : slf4j-api jar 1.7.5
org.slf4j : slf4j-log4j12 jar 1.7.5
org.scalatest : scalatest_2.12 jar 3.0.1

Project Modules

There are no modules declared in this project.

Build Status Build Status Maven Central Docker Hub Pulls

Hydrosphere Mist

Join the chat at https://gitter.im/Hydrospheredata/mist

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/

LinkedIn

Facebook

Twitter

io.hydrosphere

hydrosphere.io

Versions

Version
1.1.3
1.1.2
1.1.1
1.1.0