Frieda 🦮

Javascript code generator for the PlanetScale serverless driver.

This library is a work in progress. Bug reports, suggestions and PRs are entirely welcome.

Why?
Quick Start
- Example: Using the generated ApplicationDatabase class
- Example: Modifying a field type
Project Structure
- Metadata and option files
- Generated code files
Naming Conventions
Field Types
- Field Type Conventions
- Modifying field types
  - Recipe: Typing json fields
  - Recipe: Typing bigint aggregate fields
Model Types
Casting
Arbitrary SELECT Queries
Options
API
Contributing
Who's Frieda

Why?

Frieda aims to create solid database code for typescript/javascript projects using the PlanetScale serverless driver:

Typed javascript models based on a database's tables and views.
Typed methods to take care of the boring stuff: SELECT and CrUD.
Accurate typing for more interesting stuff written in vanilla SQL.

Other key features:

No bespoke data definition language. There's just a plain typescript file containing model types. Initially this file is populated using a set of reasonable conventions mapping MySQL column types to javascript field types. Need to change how a field is typed and cast? Just edit its javascript type.
No other unnecessary features. Frieda is not an ORM or a query builder. Models have no notion of their relations. Beyond simple SELECT and CrUD, Frieda does not write SQL for you. It does not create migrations. It does not let you switch to MongoDb. Frieda assumes...
- You're cool with writing a certain amount of SQL by hand.
- You're happy with PlanetScale's built-in schema workflow.

Frieda not what you want? Try Prisma (to manage the schema) and Kysely with the PlanetScale dialect (to help write queries.)

Quick Start

# install...
npm i frieda
# run...
./node_modules/.bin/frieda

Frieda will ask for a few options:

Where to find your database URL.
Where you want the generated database code to go.
Whether you want to compile to javascript rather typescript. (Experimental.)

These options are saved to .friedarc.json, so you don't have to go through the prompts every time.

Frieda then fetches the schema and generates code.

Example: Using the generated `ApplicationDatabase` class

Note: this example assumes you are using typescript with compileJs off. If you're using javascript you'll have to adjust a few things

Create a get-db.ts file in the outputDirectory path you specified, next to the generated files. (It doesn't have to be here, just keeping things simple.)

src/lib/db            <-- outputDirectory
├── frieda-models.ts  <-- generated by frieda, editable by you
├── frieda.ts         <-- generated code, don't edit
└── get-db.ts         <-- add this

// src/lib/db/get-db.ts
import { connect } from '@planetscale/database';
// Get the database URL. E.g., in SvelteKit:
import { DATABASE_URL } from '$env/static/private';
// import the generated AppDb class...
import { ApplicationDatabase } from './frieda.js';

let _appDb: ApplicationDatabase | undefined = undefined;

export const getDb = (): ApplicationDatabase => {
  if (!_appDb) {
    _appDb = new ApplicationDatabase(connect({ url: DATABASE_URL }));
  }
  return _appDb;
};

This example exports a getDb functions that returns a singleton instance of the generated ApplicationDatabase class. ApplicationDatabase exposes:

A ViewDatabase instance for each model based on a database view. This has find* and count* methods.
A TableDatabase instance for each model based on a database table. In addition to find* and count* this has create*, update* and delete* methods.
Methods to perform arbitrary queries (not based directly on a model.)

Import getDb and use the ApplicationDatabase instance:

// a SvelteKit example +page.server.js file
// src/routes/cats/[catId]/+page.server.js
import { error } from '@sveltejs/kit';
// note src/lib is aliased as $lib
import { getDb } from '$lib/db/get-db.js';

export const load = async (event) => {
  const db = getDb();
  const id = event.params.catId;
  const cat = await db.cat.find({ where: { id } });
  if (!cat) {
    throw error(404, `Cat ID ${id} not found!`);
  }
  // note `cat` is typed as `CatSelectAll` from '$lib/db/frieda'
  return { cat };
};

Example: Modifying a field type

Open frieda-models.ts file in the output directory. This is where you can edit javascript field types.

src/lib/db           <-- outputDirectory
├── frieda-models.ts <-- generated by frieda, editable by you
└── frieda.ts        <-- generated code, don't edit

When you first run frieda, or when you add a table or column to the database schema, the field types are based on a few conventions. One of those conventions is that bigint columns are types as javascript string. So if you have a table like this...

CREATE TABLE
  `Cat` (
    `id` bigint unsigned NOT NULL AUTO_INCREMENT,
    `ownerId` bigint unsigned NOT NULL,
    `name` varchar(100) NOT NULL,
    `fleaCount` bigint NOT NULL DEFAULT '0',
    PRIMARY KEY (`id`)
  )

...the fleaCount field will string both in the editable type...

// frieda-models.ts
type Cat = {
  id: string;
  ownerId: string;
  name: string;
  fleaCount: string;
};

...and in the generated Cat* types:

// frieda.ts (or frieda.d.ts if compileJs is true)
export type Cat = {
  id: string;
  ownerId: string;
  name: string;
  fleaCount: string;
};
// ditto for the other Cat* types, `CatCreate`, `CatUpdate`, etc.

This is probably not what you want. Edit the Cat type.

// frieda-models.ts
type Cat = {
  id: string;
  ownerId: string;
  name: string;
-  fleaCount: string;
+  fleaCount: bigint;
};

Re-run frieda...

./node_modules/.bin/frieda

You won't see any changes to frieda-models.ts (your changes to this file are always preserved as long as the model and field are not dropped in the database,) but the generated Cat* model types in frieda.ts (or frieda.d.ts) will reflect the change:

// frieda.ts (or frieda.d.ts if compileJs is true)
export type Cat = {
  id: string;
  ownerId: string;
  name: string;
-  fleaCount: string;
+  fleaCount: bigint;
};
// ditto for the other Cat* types, `CatCreate`, `CatUpdate`, etc.

Project Structure

A typical project using Frieda will look like this. outputDirectory in this example is src/lib/db.

.
├── .frieda-metadata
│   ├── history
│   │   └── 2023-08-06T22:46:08.925Z
│   │       ├── frieda-models.ts
│   │       ├── schema.json
│   │       └── schema.sql
│   ├── .gitignore
│   ├── schema.json
│   └── schema.sql
├── .friedarc.json
└── src
    ├── lib
    │   └── db <-- outputDirectory
    |       ├── frieda-models.ts
    |       ├── frieda.{ts|js}
    │       └── frieda.d.ts (only if compileJs is true)
    └── ...other source code

Metadata and option files

The .frieda-metadata directory contains information about the current schema and previous versions, for reference and debugging purposes. Frieda only writes to this folder — it does not rely on the contents. The .frieda-metadata/history folder is .gitignore'd by default since it a new version is created every time you run frieda. (Edit .frieda-metadata/.gitignore to change this behavior.)
.friedarc.json saves your current options.

Generated code files

Freida generates the following two files in the outputDirectory:

frieda-models.ts This file contains model type definitions for each table and view. It's meant to be edited. See Modify field types in frieda-models.ts. Note that the types here are only analyzed by Frieda — they are not used in the generated database code.
frieda.{ts|js} This file exports application-ready database code, including model types and the ApplicationDatabase class.
If the compileJs is true an additional frieda.d.ts file will be created next to frieda.js. The .d.ts file contains the types stripped out when compiling frieda.js.

Notes:

You can co-locate other files and folders in outputDirectory. Frieda only writes to the file paths mentioned above.
The contents of outputDirectory should be considered part of your source code. That is add it to git and include it in your javascript/typescript build step.

Naming Conventions

Model types are named with the PascalCase'd table name, e.g. UserAccount, UserAccountCreate, etc. for a table named with some variation of user_account or UserAccount.
Field names are the camelCase'd column name, e.g. emailVerified for email_verified.

You can use whatever naming convention you want for tables and columns, but there are a couple of edge cases:

Frieda does not try to fix the case where two tables or two columns within the same table resolve to the same model or field name. For example, tables named user_account, user__account and UserAccount would all result in UserAccount. Net: Be consistent when naming tables and columns.
If a table or column name would result in an invalid javascript identifier Frieda prepends an underscore. For example, 2023_stats is a valid MySQL name but an invalid javascript identifier. It would be turned into _2023Stats. Net: Try not to do this.

Field Types

When you first run frieda (and thereafter when a new table or column is added) field types are based on some default conventions mapping MySQL column types to javascript field types. Mostly this will give you the javascript field type you want.

In some cases, however, you will want to override the convention or narrow the type. You can do this by editing the field in frieda-models.ts, using typescript. Frieda does not limit or validate the javascript type based on the column type. You can type any field as anything you like, as long as it's valid typescript, but...

...a word about casting: In some circumstances Frieda uses the javascript type you define to determine how to cast values. It's therefore up to you to choose a javascript type that won't produce unexpected results. For example...

Typing numeric columns as boolean will work fine.
Typing a string columns as boolean will not work.

Field Type Conventions

MySql Type	Default Javascript Type
`bigint`	`string` (reasoning)
`tinyint(1)`, `boolean`, `bool`	`boolean`
`tinyint` (except `tinyint(1)`,) `int`, `integer`, `smallint`, `mediumint`, `year`	`number`
`float`, `double`, `real`, `decimal`, `numeric`	`number`
`date`, `datetime`, `timestamp`	`Date`
`set('a','b')`	`Set<'a'\|'b'>` (reasoning)
`enum('a','b')`	`'a'\|'b'`
`json`	`unknown` (reasoning)
`char`, `varchar`,	`string`
`binary`, `varbinary`	`string`
`text`, `tinytext`, `mediumtext`, `longtext`	`string`
`blob`, `tinyblob`, `mediumblob`, `longblob`	`string`
`bit`	`string`
`time`	`string`
Everything else, including column types where there is no corresponding type in vanilla javascript, e.g. the geospatial types	`string`

Why are `bigint` columns typed as `string`?

A common (the most common?) case for bigint columns is auto-incrementing primary keys, where it does not make (much) sense to manipulate the values in javascript or compare them other than on equality. If doing those things to keys are necessary, it's easy to convert the values withBigInt(id).
A stronger argument is that many folks use JSON to put data on the wire. Typing columns as bigint by default would force them to convert the values to string first.
That said, there are definitely cases where you want a bigint column to be numeric in javascript, either as bigint or number. In that case provide bigint or number as the type of the field in frieda-models.ts. (recipe)

Why are `set` columns typed as `Set`?

Set seems more readily manipulable than a string with comma-separated values. (TBH, that's just a theory. Feedback welcome from folks who actually use set columns)
You can turn this off for an individual field by typing it as string in frieda-models.ts.

Why are `json` columns typed as `unknown`?

There's no other valid typescript type for this case. For example things like {} or any|any[] would throw typescript linting errors in addition to (probably) being factually incorrect.
It's easy to specify a useful type in frieda-models.ts.

Modifying field types

The frieda-models.ts file contains a "virtual" model type for each table and view in the database. It's the primary source of truth for Frieda to generate the "real" application model types found in frieda.ts.

Edit this file to change the javascript type of model fields. Although the file is regenerated each time you run freida, a change you make here is preserved — so long as the column or its table has not been dropped from the schema. Previous versions are saved in .frieda-metadata/history.

The model types in frieda-models.ts are not (and cannot be) exported. This prevents your code from importing the "virtual" types by accident. The types in this file only exist to be analyzed by Frieda. Changes do not automatically update the types in frieda.ts. You need to re-run frieda for the changes to take effect.

Field types in this file should not include |null or optionality (?), just the javascript type. Frieda adds |null and optionality to the actual model types where appropriate.

type Foo = {
  id: string;
- bar?: string|null;
+ bar: string;
}

Top-level import declarations are not allowed. Such imports cannot be preserved. Use inline import('foo').Bar statements instead:

- import Stripe from 'stripe';

type StripeCustomer = {
  userId: string;
-  customer: Stripe.Customer;
+  customer: import('stripe').Stripe.Customer;
}

Recipe: Typing `json` fields

Model fields based on json columns can be typed with a literal type...

type Cat {
  // literal type...
  lastSeenLocation: {lat: number; lng: number; upTree: boolean};
}

...or an import...

type Cat {
  // imported from project code...
  prefs: import('../api.js').CatPreferences;
  // imported from a library...
  savedCard: import('stripe').Stripe.Source;
}

Remember that top level import declaration are not allowed in frieda-models.ts. Instead, use the inline import('foo').Bar syntax shown above.

Recipe: Typing `bigint` aggregate fields

As mentioned above, by default bigint columns are typed as javascript string. This makes sense for primary/secondary keys, but it's a pain in the neck when you actually want a numeric value, a situation that often occurs when dealing with view columns that do aggregation. Fix:

// assume all the columns in this database view are `bigint`...
type CatPersonLeaderboardStats {
  // Keep as `string`, since it's a key.
  catPersonId: string;

  // Let's type this one as `number`, since we know there can't possibly be more than
  // 9,007,199,254,740,991 cats in the whole world, much less belonging to one person. Right?
  catCount: number;

  // OK, we're not quite so certain about the realistic bounds on this one, or are just
  // too lazy to figure it out, so let's err on the safe side.
  aggregateFleaCount: bigint;
}

Model Types

For each "virtual" model type in frieda-models.ts Frieda generates a set of types in frieda.ts. Models based on database views only have a base model type. Models based on tables have several more types:

select all type
primary key type
create type
update type
find unique type

Generated model types are intentionally repetitive / verbose. They could be cleverer, but "clever" typescript in this case leads to a less straightforward developer experience.

Base Model Type

Table and view models | Example Type Name: Cat

This type contains all the fields in the model. If a field has been marked as INVISIBLE it will be optional in the base model type, since INVISIBLE columns are omitted when the table is queried with SELECT *. Example

Select All Type

Table models only | Example Type Name: CatSelectAll

This type represents the model when queried with SELECT *. It omits INVISIBLE columns. You probably won't have to use it directly. Frieda uses it to infer the result type of model repo find* methods. TKTK LINK TO SPECIAL select: 'all' option. Example

Primary Key Type

Table models only | Example Type Name: CatPrimaryKey

This type is returned by the model repo's create method, and is used to select models by primary key. It's an object to account for tables with multiple primary keys. Example

Create Type

Table models only | Example Type Name: CatCreate

Represents the data needed to create a model. Fields where the underlying column is GENERATED are omitted. Fields where the underlying column is auto_increment or has a default value are optional. Example

Update Type

Table models only | Example Type Name: CatUpdate

Represents the data needed to update a model. Primary keys and GENERATED columns are omitted. All other fields are optional. Example

Find Unique Type

Table models only | Example Type Name: CatFindUnique

Type representing the ways one can uniquely select a model. This always includes the primary key type plus types derived from the table's other unique indexes. Example

Example: Model types generated for a table

Table:

CREATE TABLE `Cat` (
  `id` bigint unsigned NOT NULL AUTO_INCREMENT,
  `ownerId` bigint unsigned NOT NULL,
  `name` varchar(100) NOT NULL,
  `email` varchar(350) NOT NULL,
  `lastSeen` json,
  `shortDescription` varchar(320),
  `longDescription` text INVISIBLE,
  `fleaCount` bigint NOT NULL DEFAULT(0),
  `height` double NOT NULL,
  `length` double NOT NULL,
  `breadth` double NOT NULL,
  `volume` double GENERATED ALWAYS AS (`height` * `length` * `breadth`) STORED NOT NULL
  PRIMARY KEY (`id`),
  UNIQUE KEY `CatEmail` (`email`)
)

Field type changes in frieda-models.ts:

// frieda-models.ts
type Cat = {
  id: string;
  ownerId: string;
  name: string;
  email: string;
-  lastSeen: unknown;
+  lastSeen: {lat: number; lng: number; upTree: boolean}
  shortDescription: string;
  longDescription: string;
-  fleaCount: string;
+  fleaCount: number;
  height: number;
  length: number;
  breadth: number;
  volume: number;
};

`Cat`: Base Model Type

// frieda.ts
export type Cat = {
  id: string;
  ownerId: string;
  name: string;
  email: string;
  lastSeen: { lat: number; lng: number; upTree: boolean } | null;
  shortDescription: string | null;
  longDescription?: string | null;
  fleaCount: number;
  height: number;
  length: number;
  breadth: number;
  volume: number;
};

Notes:

longDescription is optional, since the column is marked INVISIBLE. It won't be present when the model is selected with SELECT *.

`CatSelectAll`: Select All Type

// frieda.ts
export type CatSelectAll = {
  id: string;
  ownerId: string;
  name: string;
  email: string;
  lastSeen: { lat: number; lng: number; upTree: boolean } | null;
  shortDescription: string | null;
  fleaCount: number;
  height: number;
  length: number;
  breadth: number;
  volume: number;
};

Notes:

longDescription is omitted, since the column is marked INVISIBLE. It won't be present when the model is selected with SELECT *.

`CatPrimaryKey`: Primary Key Type

// frieda.ts
export type CatPrimaryKey = {
  id: string;
};

`CatCreate`: Create Type

// frieda.ts
export type CatCreate = {
  id?: string;
  ownerId: string;
  name: string;
  email: string;
  lastSeen?: { lat: number; lng: number; upTree: boolean } | null;
  shortDescription?: string | null;
  longDescription?: string | null;
  fleaCount?: number;
  height: number;
  length: number;
  breadth: number;
};

Notes:

fleaCount is optional, since the column has a default value.
The nullable fields are optional.
volume is omitted, since it's column is GENERATED ALWAYS

`CatUpdate`: Update Type

// frieda.ts
export type CatUpdate = {
  ownerId?: string;
  name?: string;
  email?: string;
  lastSeen?: { lat: number; lng: number; upTree: boolean } | null;
  shortDescription?: string | null;
  longDescription?: string | null;
  fleaCount?: number;
  height?: number;
  length?: number;
  breadth?: number;
};

Notes:

id is omitted, since it's the primary key.
volume is omitted, since it's column is GENERATED ALWAYS
All other fields are optional.

`CatFindUnique`: FindUnique Type

// frieda.ts
export type CatFindUnique = CatPrimaryKey | { email: string };

Notes:

email has a unique index.

Casting

The serverless driver returns all database column values as javascript string|null. Casting means turning that raw string|null value into a field value whose javascript type matches what you expect.

Frieda defines eight cast types:

`CastType`	Casting Algorithm
`'bigint'`	`(val) => BigInt(val)`
`'int'`	`(val) => parseInt(val)`
`'float'`	`(val) => parseFloat(val)`
`'boolean'`	`(val) => parseInt(val) !== 0`
`'json'`	`(val) => JSON.parse(val)`
`'date'`	`(val) => new Date(val)`
`'set'`	`(val) => new Set(val.split(','))`
`'string'`	n/a

In all cases if a column value is null it isn't cast — the field value will be null.

Arbitrary `SELECT` Queries

ApplicationDatabase allows for executing arbitrary SELECT queries with db.selectMany(query), db.selectFirst(query) and db.selectFirstOrThrow(query). These methods accept a second, optional CustomModelCast argument. This is a partial map from the selected fields to a CastType.

Example:

type CatPersonStats = {
  catPersonId: string;
  catCount: bigint;
  fleaCount: bigint;
};
const customCast: CustomModelCast<CatPersonStats> = {
  catCount: 'number',
  fleaCount: 'bigint'
};
const { rows } = await db.selectMany<CatPersonStats>(
  sql`
    SELECT
      CatPerson.id AS catPersonId,
      COALESCE(CatStats.catCount, 0) AS catCount,
      COALESCE(CatStats.fleaCount, 0) AS fleaCount
    FROM
      CatPerson
      LEFT JOIN (
        SELECT
          Cat.ownerId AS ownerId,
          COUNT(*) AS catCount,
          SUM(Cat.fleaCount) AS fleaCount
        FROM
          Cat
        GROUP BY
          Cat.ownerId
      ) AS CatStats ON CatStats.ownerId = CatPerson.id;
  `,
  customCast
);

rows is typed as CatPersonStats[]
catCount is cast with parseInt(value)
fleaCount is cast with BigInt(value)

Options

Frieda's main options are stored in a .friedarc.json file at the root of the project. This file should be added to git. If it doesn't exist or is somehow invalid, Frieda will prompt you for:

`envFilePath`

The path to an environment variables file, (e.g. .env) containing the database URL. The variable name can be either DATABASE_URL or FRIEDA_DATABASE_URL. If you use host, username and password to connect to the database, you can easily construct the URL and add it to .env:

FRIEDA_DATABASE_URL=mysql://<YOUR USERNAME>:<YOUR PASSWORD>@aws.connect.psdb.cloud

Notes:

The URL specified here is only used by Frieda to query the schema and generate code. The generated code itself uses a PlanetScale connection passed in from application code.
Remember to add the environment file to .gitignore.
You can override the value in .friedarc.json by passing --env-file <some-other-env-file> to frieda.

`outputDirectory`

The folder where the generated database code should go, e.g. src/db. After you run frieda this folder will contain:

frieda-models.ts A file you can edit to modify the javascript types.
frieda.ts A file that exports the generated code

Notes:

You can keep other files and folders in the outputDirectory as long as they do not conflict with the paths mentioned above.
The generated code should be considered part of your source code, that is, added to git and included in your javascript/typescript build step.
You can override the value in .friedarc.json by doing frieda --output-directory <some-other-path>.

`compileJs`

Experimental. Whether or not to produce javascript files rather than typescript. If set, Frieda will generate frieda.js and frieda.d.ts rather than frieda.ts. This should be turned off for typescript projects — just let the project build step take care of it. The same can be said for some javascript projects where the build step can consume typescript.

Failing that, javascript is compiled with:

{
  compilerOptions: {
    module: ts.ModuleKind.ES2022,
    target: ts.ScriptTarget.ESNext,
    lib: ['esnext'],
    preserveConstEnums: true,
    preserveValueImports: true
  }
}

Notes:

Compiling to javascript has been tested and works on a SvelteKit javascript project. If you run into problems with a similar modern framework/build setup please file an issue.
You can override the value in .friedarc.json by doing frieda --compile-js.

CLI-only Options

--init Make changes to the two options above. (You can also edit .friedarc.json directly.)
--help Show help.

API

type `CastType`

Documentation TKTK

type `CustomModelCast`

Documentation TKTK

type `SchemaDefinition`

Documentation TKTK

class `BaseDatabase`

Documentation TKTK

class `ViewDatabase`

Documentation TKTK

class `TableDatabase`

Documentation TKTK

class `ApplicationDatabase` (generated)

Documentation TKTK

class `ModelsDatabase` (generated)

Documentation TKTK

class `TransactionDatabase` (generated)

Documentation TKTK

utility function: `getSearchSql`

Documentation TKTK

Contributing

TKTK, basically:

Setup, including reference userland projects
PRs
Tests

Who's Frieda?

The dog. She disavows any responsibility for this project, and considers the time I've spent on it, when I could have been playing keep away with her and Mr. Sheep, to have been wasted.

Name		Name	Last commit message	Last commit date
Latest commit History 374 Commits
.vscode		.vscode
docs		docs
scripts		scripts
src		src
.eslintignore		.eslintignore
.eslintrc.cjs		.eslintrc.cjs
.gitignore		.gitignore
.npmignore		.npmignore
.prettierignore		.prettierignore
.prettierrc		.prettierrc
LICENSE		LICENSE
README.md		README.md
package.json		package.json
pnpm-lock.yaml		pnpm-lock.yaml
svelte.config.js		svelte.config.js
tsconfig.json		tsconfig.json
vite.config.ts		vite.config.ts

License

cdcarson/frieda

Folders and files

Latest commit

History

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Frieda 🦮

Why?

Quick Start

Example: Using the generated ApplicationDatabase class

Example: Modifying a field type

Project Structure

Metadata and option files

Generated code files

Naming Conventions

Field Types

Field Type Conventions

Why are bigint columns typed as string?

Why are set columns typed as Set?

Why are json columns typed as unknown?

Modifying field types

Recipe: Typing json fields

Recipe: Typing bigint aggregate fields

Model Types

Base Model Type

Select All Type

Primary Key Type

Create Type

Update Type

Find Unique Type

Example: Model types generated for a table

Cat: Base Model Type

CatSelectAll: Select All Type

CatPrimaryKey: Primary Key Type

CatCreate: Create Type

CatUpdate: Update Type

CatFindUnique: FindUnique Type

Casting

Arbitrary SELECT Queries

Options

envFilePath

outputDirectory

compileJs

CLI-only Options

API

type CastType

type CustomModelCast

type SchemaDefinition

class BaseDatabase

class ViewDatabase

class TableDatabase

class ApplicationDatabase (generated)

class ModelsDatabase (generated)

class TransactionDatabase (generated)

utility function: getSearchSql

Contributing

Who's Frieda?

About

Resources

License

Stars

Watchers

Forks

Releases

Packages 0

Languages

Example: Using the generated `ApplicationDatabase` class

Why are `bigint` columns typed as `string`?

Why are `set` columns typed as `Set`?

Why are `json` columns typed as `unknown`?

Recipe: Typing `json` fields

Recipe: Typing `bigint` aggregate fields

`Cat`: Base Model Type

`CatSelectAll`: Select All Type

`CatPrimaryKey`: Primary Key Type

`CatCreate`: Create Type

`CatUpdate`: Update Type

`CatFindUnique`: FindUnique Type

Arbitrary `SELECT` Queries

`envFilePath`

`outputDirectory`

`compileJs`

type `CastType`

type `CustomModelCast`

type `SchemaDefinition`

class `BaseDatabase`

class `ViewDatabase`

class `TableDatabase`

class `ApplicationDatabase` (generated)

class `ModelsDatabase` (generated)

class `TransactionDatabase` (generated)

utility function: `getSearchSql`

Packages