pico-pg v1.2.0

🗃️ pico-pg

A light-weight javascript-based ORM that treats Postgres like a noSQL database.

Inspiration: https://rob.conery.io/2018/07/05/a-pure-postgresql-document-database-api/

Example

const ppg = require('pico-pg');
const ops = ppg.ops;

await ppg.connect({
	user: 'postgres',
	password: 'postgres_pwd',
	port: 5432,
})

const UserDB = await ppg.table('users');

let john_record = await UserDB.add({
	name : 'John Smith',
	post_count : 0,
	meta : {
		state : 'unverified',
	},
});

john_record = await UserDB.update({
	...john_record,
	post_count : 7,
	meta : { state : 'verified'}
});

const active_users = await UserDB.find({
	post_count : ops.gt(5),
	meta : { state : 'verified' },
	created_at : ops.after(new Date(2021, 3, 15))
});

How it Works

pico-pg creates tables with 4 columns: id, created_at, updated_at, and __data__ which is a JSONB type and holds your record's data. It then provides a series of tools to query and update these records very similar to sequelize and mongoose.

Why use this?

Document-style databases are more flexible and easier to work with, especially when you aren't sure of the structure of your data yet. pico-pg lets you use Postgres while you are experimenting and building out your project. Once the schemas have settled you can do a single migration to a more performant schema structure without abusing the jsonb column type.

Memory-Mode

There is a in-memory-only verison of pico-pg which has the identical interface as the main library.

This is useful as a in-development fallback if the system you are working on does not have Postgres installed.

You can access it via require('pico-pg/memory')

API

ppg.connect(pg_opts)

Sets up a connection to Postgres. Passes pg_opts to the pg library

ppg.disconnect()

Closes connection with Postgres

ppg.isConnected()

Returns true/false if connected to a postgres database

ppg.query(sqlString)

Executes the given sqlQuery on the Postgres connection

ppg.loadRawData(init_database) memory mode only

Preload the in-memory database with whatever JSON object you like

ppg.getRawData() -> json_dump memory mode only

Returns a JSON object of all of the tables and data currently within the in memory database

Table Commands

ppg.table(tableName) -> tbl interface

Creates a new table (if it didn't exist) and returns a new interface to query, update, and remove records within that table.

tbl.find(query, opts)

Returns an array of records that match the given query. Queries are objects that describe the desired record structure. You can use the Query Operations below to filter your search.

opts object allows you to specify a limit and offset, as well as a sort

await tbl.find({
		user : 'scott'
	},
	{
	offset : 5, // skip the first 5
	limit : 10, //only return 10 records,
	sort : {
		post_count : 1, //sort by post_count ascending
		created_at : -1 //also sort by created_at, descending
	}
});

tbl.findOne(query, opts)

Same as tbl.find() except will only return a single record.

tbl.all(opts)

Returns all records. Can specify limit, offset, and sort via the opts (see tbl.find)

tbl.clear()

Truncates and removes all records from the table.

tbl.add(data)

Adds and returns a new record with the given data.

tbl.update(data)

Updates a given record (by the id within the data) with the new data. updated_at coloumn will be updated automatically.

tbl.remove(query)

Removes records from the table that match the query obj. Returns the number of records removed.

tbl.removeById(uuid)

Removes a single record matching the provided uuid. Returns true if successful and false if it could not find the record.

Query Operations

Use the following operators to build complicated queries.

await db.find({
	name : ops.like('john'),
	post_count : ops.gte(100),
	meta : {
		status : ops.or('verified', 'god_mode'),
		tags : ops.contains('admin', 'user')
	}
	created_at : ops.and(ops.after(new Date(2021, 0, 1)), ops.before(new Date(2021, 3, 15)))
})

ppg.ops.eq(val)

Equivilance operator. If no other operator is used, defaults to this.

ppg.ops.not(val)

Not equivilance operator.

ppg.ops.gt(val), ppg.ops.lt(val), ppg.ops.gte(val), ppg.ops.lte(val)

Numerical operators:

ppg.ops.contains(...values)

Used for matching arrays. Must contain each of the values

ppg.ops.like(substring)

Case-insensitive substring search.

ppg.ops.before(target_date), ppg.ops.after(target_date)

Date searches.

ppg.ops.or(...parameters), ppg.ops.and(...parameters)

Used to build more complicated boolean queries.

Database Commands

ppg.tbl.list()

Returns an array of existing table names in the database

ppg.tbl.exists(tableName)

Returns true or false if the table exists in the database

ppg.tbl.destroy(tableName)

Drops the table from the database

ppg.tbl.create(tableName)

Creates a new table (if it doesn't already exists) with 4 columns: id a uuid primary key, created_at and updated_at set as a TIMESTAMPZ to now, and __data__ as JSONB

General Utils

ppg.utils.version()

Returns Postgres' version as a string

ppg.utils.queryBuilder(queryObj)

Returns a SQL query string based on the query object. Used internally by other commands.

ppg.utils.optsBuilder(optsObj)

Returns a SQL string based on the opts object. Sets up ORDER BY, LIMIT, and OFFSET parameters. Used internally by other commands.