incubator-toree

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[Apache Toree][website]
============
Apache Toree (Incubating) is a [Jupyter Notebook](https://jupyter.org/) kernel. The main goal of Toree is to provide the foundation for
interactive applications that connect to and use [Apache Spark][1] using Scala language.

Overview
========
Toree provides an interface that allows clients to interact with a Spark Cluster. Clients can send libraries and
snippets of code that are interpreted and executed using a preconfigured Spark context.
These snippets can do a variety of things:
 1. Define and run spark jobs of all kinds
 2. Collect results from spark and push them to the client
 3. Load necessary dependencies for the running code
 4. Start and monitor a stream
 5. ...

Apache Toree supports the `Scala` programming language. It implements the latest Jupyter message protocol (5.0),
so it can easily plug into the latest releases of Jupyter/IPython (3.2.x+ and up) for quick, interactive data exploration.

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Try It
======
A version of Toree is deployed as part of the [Try Jupyter!][try-jupyter] site. Select `Apache Toree - Scala` under
the `New` dropdown. Note that this version only supports `Scala`.
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Develop
=======
This project uses `make` as the entry point for build, test, and packaging. To perform a local build, you need to
install `sbt`, `jupyter/ipython`, and other development requirements locally on your machine.

To build and interact with Toree using Jupyter, run
```
make dev
```

This will start a Jupyter notebook server. Depending on your mode, it will be accessible at `http://localhost:8888` or `http://192.168.44.44:8888`. From here you can create notebooks that use Toree configured for Spark local mode.

Tests can be run by doing `make test`.

>> NOTE: Do not use `sbt` directly.

Build & Package
===============
To build and package up Toree, run
```
make release
```

This results in 4 artifacts, where `<VERSION>` is the full