spark-spec

A test suite to document the behavior of the Spark engine.

Goals

1. Augment the official documentation with working code snippets.

2. Document unexpected behavior in the Spark engine.

3. Make it easier to identify what breaks when Spark versions change.

4. Create a ton of drama, like the RubySpec project. Just kidding!

Usage

You can run the entire test suite with the sbt testcommand.

You can run a single tests file with sbt "test-only *DatasetSpec".

Example

Here's a simple example that documents the behavior of the Dataset#count method:

describe("#count") {

  it("returns a count of all the rows in a DataFrame") {

    val sourceDf = Seq(
      ("jets"),
      ("barcelona")
    ).toDF("team")

    assert(sourceDf.count === 2)

  }

}

Reading the Spark Documentation

The latest API documentation provides a searchable field, which is a great way to locate Spark classes in the package heirarchy. This link also provides the best visualization of the public method signatures.

The Spark 2.1.0 documentation provides code snippets examples for certain public functions.

Contribution

We are actively looking for contributors to add tests for new methods and augment existing tests to cover edge cases.

To get started, fork the project and submit a pull request. Methods that aren't documented yet are marked as pending and are a good place to start.

After submitting a couple of good pull requests, you'll be added as a contributor to the project.

Continued excellence will be rewarded with push access to the master branch.