rdbunit 1.1.4

RDBUnit is a unit testing framework for relational database queries.

RDBUnit: Unit testing for relational database queries

RDBUnit is a unit testing framework for relational database queries. It allows you to express in a simple way the setup prior to a query, the query, and the expected results. RDBUnit can test SELECT queries as well as queries that are used for creating tables and views. All types of queries can be either embedded into the test script, or they can be included from an external file. The tables for the input and the expected results can be created with minimal ceremony: RDBUnit will automatically infer the types of the tables' fields.

For complex relational OLAP queries RDBUnit can be combined particularly effectively with the simple-rolap relational online analytical processing framework. You can find a complete tutorial on using RDBUnit with simple-rolap for mining Git repositories in a technical briefing presented at the 2017 International Conference on Software Engineering.

You can cite this work as follows.

• Diomidis Spinellis. Unit Tests for SQL. IEEE Software, vol. 41, no. 1, pp. 31–34, Jan.-Feb. 2024. doi: 10.1109/MS.2023.3328788.

Installation

Using Pip

pip install rdbunit

From source

• Clone this repository

git clone --depth=1 https://github.com/dspinellis/rdbunit.git
cd rdbunit
pipenv shell
pip install .

Test specification

For every SQL query you want to test, create an RDBUnit file that specifies the query's input, execution, and expected result.

Simple example

The following example illustrates this concept.

BEGIN SETUP
sales:
month   revenue
March   130
April   50
END

BEGIN SELECT
SELECT MAX(revenue) as max_revenue FROM sales;
END

BEGIN RESULT
max_revenue
130
END

Input file details

The input and output and output are specified as table contents. The input starts with a line containing the words BEGIN SETUP, while the results start with a line containing the words BEGIN RESULTS. The input and output are specified by first giving a table's name, followed by a colon. The name may be prefixed by the name of a database where the table is to reside, followed by a dot. The next row contains the table's fields, separated by spaces. Then comes the table's data, which is terminated by a blank line, or by the word END. More than one table can be specified in the setup. In the results the table name is not specified, if the tested query is a selection statement, rather than a table or view creation. The setup-query-results sequence can be specified multiple times within a test file.

Setup example

BEGIN SETUP
contacts:
name    registered      value   reg_date
John    true            12      '2015-03-02'
Mary    false           10      '2012-03-02'
END

Results example (named table)

Named table results are used with CREATE queries.

BEGIN RESULT
leadership.nl_commits_leader_comments:
project_id      n
1               3
END

Results example (unnamed set)

Unnamed set results are used with SELECT queries.

BEGIN RESULT
name    registered      value   reg_date        a
John    True            12      '2015-03-02'    Null
END

The query to test is either specified inline with a BEGIN SELECT (for selection queries) or BEGIN CREATE (for creation queries) statement, or by including a file through the corresponding INCLUDE SELECT or INCLUDE CREATE statement.

Inline example

BEGIN SELECT
SELECT *, NULL AS a FROM contacts WHERE registered;
END

External query example

INCLUDE CREATE nl_commits_leader_comments.sql

Unit testing

To run the tests run RDBUnit piping its output to one of the supported relational database systems (current MySQL, PostgreSQL, and sqLite). A number of command-line flags allow you to tailor the operation of RDBUnit. When running, RDBUnit will report on its output something like ok 1 - recent_commit_projects.rdbu: test_stratsel.recent_commit_projects for each succeeding test case and not ok 1 - project_stars.rdbu: test_stratsel.project_stars for each failing test case. A final line will list the number of succeeding and failing test cases. By default RDBUnit creates and operates on temporary databases, whose name is prefixed with the word test_.

By specifying the --results option (or the equivalent -r short option) you can direct rdbunit to display the table generated for each test. This is useful for debugging test failures or for generating reference data (after suitable manual verification).

Execution example (SQLite)

$ rdbunit --database=sqlite recent_commit_projects.rdbu | sqlite3
ok 1 - recent_commit_projects.rdbu: test_stratsel.recent_commit_projects

Execution example (MySQL)

$ rdbunit commits_comments.rdbu | mysql -u root -p -N
Enter password:
ok 1 - commits_comments.rdbu: test_leadership.nl_commits_leader_comments
ok 2 - commits_comments.rdbu: test_leadership.leader_commits_nl_comments
ok 3 - commits_comments.rdbu: test_leadership.commits_with_comments
1..3

Execution example (PostgreSQL)

$ rdbunit --database=postgresql commits_comments.rdbu | psql -U ght -h 127.0.0.1 -t -q ghtorrent
 ok 1 - commits_comments.rdbu: test_leadership.nl_commits_leader_comments

 ok 2 - commits_comments.rdbu: test_leadership.leader_commits_nl_comments

 ok 3 - commits_comments.rdbu: test_leadership.commits_with_comments

 1..3

Development

Contributions via GitHub pull requests are welcomed. Each contribution passes through continuous integration, which verifies the code's style (pycodestyle) and checks for errors (pylint). It also tests the input and output of RDBunit and its operation on the three supported relational database systems. On a local host, after creating a virtual environment (pipenv), entering it (pipenv shell), and installing the required development dependencies (pipenv install --dev), you can run the following commands.

• ``pycodestyle src/rdbunit/main.py`
• pylint src/rdbunit/__main__.py
• tests/test-parts.sh
• tests/test-sqlite.sh