@devtography/tyodm v0.1.0-rc.4
TyODM
Fully typed opinionated ODM inspired by Realm & Mongoose. Designed to be compatible with various NoSQL database engines.
Getting started
npm install @devtography/tyodm
import * as odm from '@devtography/tyodm';
class SampleModel extends odm.Obj {
static SCHEMA: Schema = {
name: 'SampleModel',
props: {
metadata: {
type: 'single',
attr: {
name: 'string',
desc: 'string?',
active: 'bool',
extra: { someNumber: 'double' },
},
},
itemCollection: {
type: 'collection',
identifier: 'itemId',
attr: { itemId: 'string', name: 'string' },
},
},
};
metadata?: {
name: string,
desc?: string,
active: boolean,
extra?: { someNumber: number }, // Nested object must be optional
};
itemCollection?: Map<string, { itemId: string, name: string }>;
objectSchema(): Schema {
return SampleModel.SCHEMA; // Expect to return the same schema from class.
}
}
// Using DynamoDB as sample here.
// A table with `pk` as `HASH` & `sk` as `RANGE` is needed to be created first
// before connecting the `TyODM` instance to the target table.
const odm = new odm.TyODM({
region: 'us-east-2',
endpoint: 'http://localhost:8000',
table: 'sample',
schema: new Map<string, odm.Schema>([
'SampleModel': SampleModel.SCHEMA,
]),
});
const obj = new SampleModel();
obj.metadata = { name: 'Sample Object', active: true };
obj.itemCollection = new Map([
['1', { itemId: '1', name: 'item 1' }],
['2', { itemId: '2', name: 'item 2' }],
]);
(async () => {
await odm.attach();
await odm.write(() => {
obj.insertObj();
});
const objFromDb = await odm.objectByKey(SampleModel, obj.objectId);
console.log(objFromDb);
})().catch((err) => {
console.log(err);
});
Remarks
While you can have multiple tables/collections in your database, the way TyODM
handles the data pretty much follows the single table design. The following
example shows how the data schema looks like in your database correspond to the
data models.
class Alpha extends odm.Obj {
static SCHEMA: odm.Schema = {
name: 'Alpha',
props: {
singularRecord: {
type: 'single',
attr: { fieldA: 'string' },
},
subCat1: {
type: 'collection',
identifier: 'id',
attr: { id: 'string', subFieldA: 'int' }
},
subCat2: {
type: 'collection',
identifier: 'id',
attr: { id: 'string', subFieldA: 'double', subFieldB: 'int' },
},
}
};
singularRecord?: { fieldA: string };
subCat1?: Map<string, { id: string, subFieldA: number }>;
subCat2?: Map<string, { id; string, subFieldA: number, subFieldB: string }>;
...
}
Collection | Sub collection | |||
---|---|---|---|---|
fieldA | ||||
Alpha#01FCBEBM470CA8BN7B2H95SQ7X | singularRecord | 'abc' | ||
id | subFieldA | |||
subCat1#01A | '01A' | 10 | ||
subCat1#01B | '01B' | 11 | ||
id | subFieldA | subFieldB | ||
subCat2#02A | '02A' | 7.62 | 1 | |
subCat2#02B | '02B' | 0.45 | 2 |
Custom identifier & constructor
For the class/collection level unique identifier, by default there's an ULID
generated for each instance on initialisation. Alternatively, a custom
identifier can also be set via the constructor as following:
class Beta extends odm.Obj {
static SCHEMA: odm.Schema = {
name: 'Beta',
identifier: 'customId',
props: { ... }
};
customId: string;
constructor(objId?: string) {
// Only constructor with optional parameters is allowed. 1st parameter
// must be an optional string and needs to be passed to the parent
// constructor so the internal functions can set the `objectId` properly.
// Constructor with non optional parameters will result in runtime exception.
super(objId);
// It is important to assign value to your custom identifier here instead
// of doing it on the line you declare the property. Otherwise the value of
// you custom identifier will be overwritten by the value assigned there
// when retrieve the object from database.
this.customId = 'your custom unique identifier';
}
...
}
Be caution, by setting your own class/collection level identifier, you must make sure its' value for each instance under the same class is unique, otherwise you might corrupt your data on the table.
In terms of sub-collection level identifier, there's no default provided like the class/collection level one. The sub-collection level will have to be specified in the schema as following:
class Charlie extends odm.Obj {
static SCHEMA: odm.Schema = {
name: 'Charlie',
props: {
sub: {
type: 'collection',
identifier: 'relatedAlpha',
attr: { relatedAlpha: 'string', isCharlie: 'bool' },
},
},
};
sub: Map<string, { relatedAlpha: string, isCharlie: boolean }>
...
}
// console.log
// Charlie {
// sub: { relatedAlpha: '01FCBEBM470CA8BN7B2H95SQ7X', isCharlie: true )
// }
The value can only be string
for both class/collection and sub-collection
level identifiers. Exception may be thrown if otherwise.
Support the project
Contributions via pull requests are welcome and encouraged. If there's anything you consider essential that should be included in this boilerplate, please don't hesitate to implement yourself and make a pull request :)
Same as the other open sources projects in @Devtography, I maintain & further develop this boilerplate with my free time. If you found my work useful and wanna support me keep on doing all these, please consider donate/sponsor me.
Author
License
TyODM is open source software licensed as MIT.
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