A Golang library for using SQL.

It is not an ORM, it is not a query builder. Dotsql is a library that helps you keep sql files in one place and use it with ease.

Dotsql is heavily inspired by yesql.

$ go get github.com/qustavo/dotsql

First of all, you need to define queries inside your sql file:

-- name: create-users-table
CREATE TABLE users (
    id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
    name VARCHAR(255),
    email VARCHAR(255)
);
-- name: create-user
INSERT INTO users (name, email) VALUES(?, ?)
-- name: find-users-by-email
SELECT id,name,email FROM users WHERE email = ?
-- name: find-one-user-by-email
SELECT id,name,email FROM users WHERE email = ? LIMIT 1
--name: drop-users-table
DROP TABLE users

Notice that every query has a name tag (--name:<some name>), this is needed to be able to uniquely identify each query inside dotsql.

With your sql file prepared, you can load it up and start utilizing your queries:

// Get a database handle
db, err := sql.Open("sqlite3", ":memory:")
// Loads queries from file
dot, err := dotsql.LoadFromFile("queries.sql")
// Run queries
res, err := dot.Exec(db, "create-users-table")
res, err := dot.Exec(db, "create-user", "User Name", "main@example.com")
rows, err := dot.Query(db, "find-users-by-email", "main@example.com")
row, err := dot.QueryRow(db, "find-one-user-by-email", "user@example.com")
stmt, err := dot.Prepare(db, "drop-users-table")
result, err := stmt.Exec()

You can also merge multiple dotsql instances created from different sql file inputs:

dot1, err := dotsql.LoadFromFile("queries1.sql")
dot2, err := dotsql.LoadFromFile("queries2.sql")
dot := dotsql.Merge(dot1, dot2)

text/template-style text interpolation is supported.

To use, call .WithData(any) on your dotsql instance to create a new instance which passes those values into the templating library.

-- name: count-users
SELECT count(*) FROM users {{if .exclude_deleted}}WHERE deleted IS NULL{{end}}

dotsql.WithData(map[string]any{"exclude_deleted": true}).Query(db, "count-users")

To avoid distributing sql files alongside the binary file, you will need to use tools like gotic to embed / pack everything into one file.

For sqlx support check dotsqlx