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Cascalog functions for Midje.
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Midje-Cascalog is a thin layer over midje that makes it easy and fun to test Cascalog queries! Scroll down for an in-depth example.

Testing Cascalog with Midje gives a long discussion on various midje-cascalog idioms.

Usage Instructions

To use midje-cascalog in your own project, add the following two entries to :dev-dependencies inside of your project.cj file:

[lein-midje "1.0.7"]
[midje-cascalog "0.4.0"]

Midje-Cascalog supports Clojure 1.2 and 1.3 and Cascalog 1.8 and 1.9. Add (:use [midje sweet cascalog]) to your testing namespace to get started.

When you're all finished writing tests, lein run at the command line will run all Midje tests and generate a summary.

Example Query Test

Let's say you want to test a Cascalog workflow that examines your user datastore and returns the user with the greatest number of followers. Your workflow's top level query will generate a single tuple containing that user's name and follower-count. Here's the code:

(defn max-followers-query [datastore-path]
  (let [src (name-vars (complex-subquery datastore-path)
                       ["?user" "?follower-count"])]
    (cascalog.ops/first-n src 1 :sort ["?follower-count"] :reverse true)))

max-followers-query is a function that returns a Cascalog subquery. It works like this:

  • The function accepts a path, (datastore-path) and passes it into a function called complex-subquery.
  • complex-subquery returns a subquery that generates 2-tuples; this subquery is passed into name-vars.
    • name-vars binds this subquery to src after naming its output variables ?user and ?follower-count.
  • first-n returns a subquery that
    • sorts tuples from src in reverse order by follower count, and
    • returns a single 2-tuple with the name and follower-count of our most popular user.

At a high level, the subquery returned by =max-followers-query= is responsible for a single piece of application logic:

  • extracting the tuple with max ?follower-count from the tuples returned by (complex-subquery datastore-path).

A correct test of max-followers-query will test this piece of logic in isolation.

(fact?- "Query should return a single tuple containing
        [most-popular-user, follower-count]."
        [["richhickey" 2961]]
        (max-followers-query :path)
          (complex-subquery :path) => [["sritchie09" 180]
                                       ["richhickey" 2961]]))

Midje circumvents all extra complexity by mocking out the result of (complex-subquery datastore-path) and forcing it to return a specific Clojure sequence of [?user ?follower-count] tuples.

The following form is a Midje test, or "fact":

(fact?- "Query should return a single tuple containing
        [most-popular-user, follower-count]."
        [["richhickey" 2961]]
        (max-followers-query :path)
          (complex-subquery :path) => [["sritchie09" 180]
                                       ["richhickey" 2961]]))

Facts make statements about queries. The fact passes if these statements are true and fails otherwise. The above fact states that

  • when max-followers-query is called with the argument :path,
  • it will produce [[ richhickey" 2961]],
  • provided (complex-subquery :path) produces [["sritchie09" 180] ["richhickey" 2961]].

Fact-based testing separates application logic from the way data is stored. By mocking out complex-subquery, our fact tests max-followers-query in isolation and proves it correct for all expected inputs.

This approach is not just better than the "state of the art" of MapReduce testing, as defined by Cloudera; it completely obliterates the old way of thinking, and makes it possible to build very complex workflows with a minimum of uncertainty.

Fact-based tests are the building blocks of rock-solid production workflows.

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