Awesome
dotsql
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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.
Installation
$ go get github.com/qustavo/dotsql
Usage
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 Interpolation
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")
Embeding
To avoid distributing sql
files alongside the binary file, you will need to use tools like
gotic to embed / pack everything into one file.