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#158 in Testing

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SQL integration test harNESS

An ergonomic, opinionated framework for SQL integration test.


SQLNESS can be used as library or as command lines tool directly, it support MySQL/PostgreSQL wire protocol.

Use as library

First add sqlness to your project:

cargo add sqlness

Then implement Database and EnvController trait to setup your tests. Refer basic.rs for a complete example.

Use as CLI

$ cargo install sqlness-cli

$ sqlness-cli -h
SQLNESS command line tool

Usage: sqlness-cli [OPTIONS] --case-dir <CASE_DIR> --ip <IP> --port <PORT>

  -c, --case-dir <CASE_DIR>  Directory of test cases
  -i, --ip <IP>              IP of database to test against
  -p, --port <PORT>          Port of database to test against
  -u, --user <USER>          User of database to test against
  -P, --password <PASSWORD>  Password of database to test against
  -d, --db <DB>              DB name of database to test against
  -t, --type <DB_TYPE>       Which DBMS to test against [default: mysql] [possible values: mysql, postgresql]
  -h, --help                 Print help
  -V, --version              Print version

One example used in our CI is

sqlness-cli -c tests -i -p 3306 -u root -P 1a2b3c -d public

It will test against a MySQL server listening on

Testcase structures

This is the directory structure of testcase for basic-example:

$ tree examples/
├── basic-case               # Testcase root directory
│   └── simple               # One environment
│       ├── config.toml      # Config file for current environment, optional
│       ├── select.result    # Output result file
│       └── select.sql       # Input SQL testcase
├── basic.rs                 # Entrypoint of this example

When run it via

cargo run --example basic

It will do following things:

  1. Collect all environments(first-level directory) under basic-case.
  2. Run tests(.sql files) under environment one after one.
    1. Before execution it will read {testcase}.result(create one if not exists) to memory for compare.
    2. During execution it will collect query response and write to {testcase}.result
    3. After execution it will compare the generated {testcase}.result with previous one, PASS when they are the same, and FAIL otherwise.
  3. Report result.

Usually result files should be tracked in git, whenever there are failed tests, users should

  1. Update result to latest version(e.g. git add) if the newer result is right, or
  2. Restore result back to original version (e.g. git checkout), troubleshoot bugs in database implementation, and run tests again

Flowchart below illustrates the typical steps when write a test.

Below is the output of this example:

Run testcase...
Start, env:simple, config:Some("examples/basic-case/simple/config.toml").
Test case "examples/basic-case/simple/select" finished, cost: 0ms
Environment simple run finished, cost:1ms
Stop, env:simple.
MyDB stopped.

Who is using

  • CeresDB, a high-performance, distributed, cloud native time-series database that can handle both time-series and analytics workloads.
  • GreptimeDB, an open-source, cloud-native, distributed time-series database.

If you’re using sqlness and like to be added to this list, welcome to open a PR.


This project is under Apache License 2.0.


~716K SLoC