supple-sql
v0.5.2
Published
[![validate](https://github.com/vampirical/supple-sql/actions/workflows/validate.yml/badge.svg)](https://github.com/vampirical/supple-sql/actions/workflows/validate.yml) [![codecov](https://codecov.io/gh/vampirical/supple-sql/graph/badge.svg?token=R6DEXGF
Downloads
24
Readme
Supple SQL
Minimal viable PostgreSQL only ORM, does as little as it can get away with.
Import
Everything is access through a single top level default export. We call it SQL
internally and in examples, you can call it whatever you like.
const SQL = require('supple-sql');
or
import SQL from 'supple-sql';
Connection Management
Connection management defaults to sourcing from a single pool that you provide. If you explicitly pass connections or pools to everything you don't need to specify a default pool.
const pool = new PG.Pool({connectionString, ...});
SQL.setDefaultPool(pool);
If you'd like to run multiple queries on a single connection there's a helper for that.
const result = await SQL.connected(async function (conn) {
// Pass conn explicitly as the first argument to all your Supple object constructors.
// Whatever you return will be passed through as the return of connected().
// If an error occurs either in your code or within your database the connection will be released
// and either returned to the pool or destroyed if it isn't recoverable.
});
Transactions are managed similarly.
const result = await SQL.transaction(async function (conn) {
// Same as connected() except the transaction BEGIN/COMMIT/ROLLBACK is also managed.
}, {});
Records
The types that define objects based on tables are called Records. There's a generator to create them from existing tables but they're also pretty easy to write by hand.
class User extends SQL.Record {
static fields = {
id: {type: SQL.type.serial, primaryKey: true},
email: {type: SQL.type.text, nullable: false, unique: true},
displayName: {type: SQL.type.text, nullable: false, name: 'custom_db_name_display_name'},
password: {type: SQL.type.text},
createdAt: {type: SQL.type.timestamptz, nullable: false, defaultValue: SQL.valueNow},
};
static primaryKeyFields = ['id'];
static privateFields = ['password']; // Optional helper for avoiding accidentally serializing sensitive values.
static table = 'users';
}
Insert a row. These are equivalent.
const user = new User({email: '[email protected]', displayName: 'Test'});
await user.save();
const user = new User();
user.email = '[email protected]';
user.displayName = 'Test';
await user.save();
Find a row.
const user = await User.findByPk(1);
// If not found, user is null.
const user = await User.findOne({email: '[email protected]'});
// If not found, user is null.
const user = new User();
user.email = '[email protected]';
await user.load();
// If not found, load returns false and user.isLoaded = false.
const user = new User({email: '[email protected]'});
await user.load();
// If not found, load returns false and user.isLoaded = false.
const user = new User();
await user.load({email: '[email protected]'});
// If not found, load returns false, user.isLoaded = false, and email isn't set on user.
Update as needed.
const user = await User.findOne({email: '[email protected]'});
user.displayName = 'Max Power';
await user.save(); // Returns true since there was an update made. Only updates the displayName field, does not push unchanged values back to the db.
await user.save(); // Returns false since there was nothing to do.
There are various ways to get data out of records.
// Property access.
console.debug(user.id);
// 1
// Default JSON serialization.
console.debug(JSON.stringify(user));
// {"id": 1, "email": "[email protected]", ...}
// Extract a vanilla object with options.
console.debug(user.data({includeDefaults = false, includePrivate = false, onlyDirty = false, onlySet = false} = {}));
// {id: 1, email: '[email protected]', ...}
Find and Queries
const rows = await User.find({email: SQL.like('%@example.com')}, {orderBy: 'email'});
for (const record of rows) {
// Find returns a vanilla array of loaded record instances.
}
const stream = await User.find({email: SQL.like('%@example.com')}, {orderBy: 'email', stream: true});
for await (const record of stream) {
// You can also async iterate through a database cursor for large sets you don't want to keep in memory.
}
// Find is just a small wrapper on top of creating a query and running it.
const userQuery = User.query({email: SQL.like('%@example.com')}, {orderBy: 'email'});
await userQuery.run();
// userQuery:
// Is directly iterable for the same rows you'd get out of a non-stream find, and implements all array prototype methods.
// Has a vanilla javascript array .rows property.
// Is async iteratable if stream=true.
Where conditions can be quite complex and deeply nested.
// These are all the same.
await User.find({id: 1, displayName: 'Max Power'}); // An object of values is an implicit AND.
await User.find([{id: 1}, {displayName: 'Max Power'}]); // A top level array is an implicit AND.
await User.find(SQL.and({id: 1}, {displayName: 'Max Power'})); // SQL.and() is an explicit AND.
// Complex comparisons are available.
await User.find({displayName: SQL.ilike('% power')});
await User.find({id: SQL.lessEqual(5)});
// ANDs and ORs can appear as both top level wheres and as values under field keys, nested as deeply as you'd like.
await User.find(SQL.or({id: 1}, {id: 2}));
await User.find({id: SQL.or(1, 2)});
// You can use sub-queries.
await User.find({
id: SQL.and(
User.query({displayName: SQL.notEqual('Max Power')}, {returns: 'id'}),
SQL.greaterThan(10)
)
});
There are a few things you can't do.
// You can't nest sub-queries inside of value arrays.
// It isn't worth the performance hit necessary to check for them
// and you can just wrap the query and the values using an AND.
SQL.any([User.query({id: 1}, {returns: 'id'}), 100])
// You can't nest field keys under another field key.
// Even in this best case, it is silly, in the worst case it is nonsense.
await User.find({
id: SQL.and(
{id: 1},
{id: 2}
)
});
Escape Hatches
If you need a bit of raw SQL somewhere, there's new SQL.Value()
.
const user = User.find({createdAt: SQL.greaterThan(new SQL.Value("now() - '1 day'::interval"))});
If you need to load records manually.
await SQL.connected(async function (conn) {
const dbResp = await conn.query(COMPLICATED_QUERY);
const users = dbResp.rows.map(r => User.newFromDbRow(r));
});
TL;DR
const pool = new PG.Pool({connectionString});
SQL.setDefaultPool(pool);
const userInvoices = await SQL.connected(async function (conn) {
const invoice = await Invoice.findOne(conn, {id: 5});
if (!invoice) {
throw new Error('Invoice not found!');
}
invoice.total += 1.50;
await invoice.save();
return Invoice.find(conn, {userId: invoice.userId}, {orderBy: ['updatedAt', SQL.sort.desc]});
});
Generated JSDoc are included in published packages and the tests serve as additional examples.