v10.1.0
JUSTAOS's ORM (Object–relational mapping) tool is built for Deno and provides transparent persistence for JavaScript objects to Postgres database.
Attributes
Includes Deno configuration
Repository
Current version released
4 months ago
Dependencies
Versions
- v10.1.0Latest
- v10.0.0
- v10.0.0-pre.2
- v10.0.0-pre.1
- v10.0.0-pre.0
- v9.1.2
- v9.1.1
- v9.1.0
- v9.1.0
- v9.0.1
- v9.0.0
- v8.0.0
- v8.0.0
- v8.0.0-pre.9
- v8.0.0-pre.9
- v8.0.0-pre.8
- v8.0.0-pre.7
- v8.0.0-pre.6
- v8.0.0-pre.5
- v8.0.0-pre.5
- v8.0.0-pre.4
- v8.0.0-pre.3
- v8.0.0-pre.2
- v8.0.0-pre.1
- v7.2.0-pre.0
- v7.1.1
- v7.1.1
- v7.1.1-pre.3
- v7.1.1-pre.3
- v7.1.1-pre.2
- v7.1.1-pre.1
- v7.1.1-pre.0
- v7.1.1-pre.0
- v7.1.0
- v7.0.1
- v6.4.0
- v6.3.0
- v6.2.0
- v6.1.0
- v5.13.0
- v5.14.0
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- v5.11.0
- v5.10.0
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- v5.2.1
- v5.2.0
- v5.1.0
- v5.0.2
- v5.0.1
- v5.0.0
- v4.11.0
- v4.10.2
JUSTAOS’s ORM
JUSTAOS’s ORM (Object Relational Mapping) tool is built for Deno and provides transparent persistence for JavaScript objects to Postgres database.
- Supports all primitive data types (string, integer, float, boolean, date, object, array, etc.).
- Supports custom data types.
- Supports table with multi-level inheritance.
- Also supports interception on operations (create, read, update and delete).
import { ORM } from "jsr:@justaos/orm";
Database connection
const odm = new ORM({
database: "school-database",
username: "postgres",
password: "postgres",
hostname: "localhost",
port: 5432,
});
try {
const client: ORMClient = await odm.connect(
true, /* create database if not exists */
);
console.log("Client connected successfully");
client.closeConnection();
} catch (error) {
console.log("Error while establishing connection", error);
}
Defining tables
Definition automatically includes id
and _table
fields on every table.
await client.defineTable({
name: "department",
columns: [
{
name: "name",
type: "string",
},
{
name: "code",
type: "string",
},
],
});
await client.defineTable({
name: "teacher",
columns: [
{
name: "name",
type: "string",
},
{
name: "badge_number",
type: "integer",
},
{
name: "age",
type: "integer",
},
{
name: "date_of_joining",
type: "date",
},
{
name: "department",
type: "uuid",
foreign_key: {
table: "department",
column: "id",
},
},
],
});
Unique constraint
await client.defineTable({
name: "student",
columns: [
{
name: "name",
type: "string",
},
{
name: "roll_no",
type: "integer",
unique: true,
},
{
name: "age",
type: "integer",
},
],
unique: [["name", "age"]],
});
Querying
const teacherTable = client.table("teacher");
for (let i = 0; i < 10; i++) {
const teacher = teacherTable.createNewRecord();
teacher.set("name", randomNames());
teacher.set("badge_number", i + 1);
teacher.set("age", 10 * ((i + 1) % 2));
await teacher.insert();
}
let records = await teacherTable.orderBy("badge_number", "DESC").toArray();
for (const record of records) {
console.log(record.get("name") + " :: " + record.get("badge_number"));
}
console.log("Count :: " + (await teacherTable.count()));
Querying with compound ‘OR’ and ‘AND’ conditions
// Where 'age' is 10 and (name is 'a1' or 'roll_no' is 5)
// SELECT * FROM public.teacher WHERE "age" = 10 AND ("name" = 'a1' OR "roll_no" = 5)
const selectQuery = teacherTable
.where("age", 10)
.andWhere((compoundQuery) => {
compoundQuery
.where("name", "a1")
.orWhere("badge_number", "5");
});
records = await selectQuery.toArray();
console.log(records.map((t) => t.toJSON()));
Using cursor
const recordCursor = await teacherTable
.select()
.orderBy("roll_no", "DESC")
.execute();
for await (const record of recordCursor) {
console.log(record.get("name") + " :: " + record.get("roll_no"));
}
Intercepting database operations
Intercept and compute student full name before insert and print all records after
const client = await odm.connect(true);
await client.defineTable({
name: "student",
columns: [
{
name: "first_name",
type: "string",
},
{
name: "last_name",
type: "string",
},
{
name: "full_name", /* Value computed in intercept */
type: "string",
},
],
});
class FullNameIntercept extends RecordInterceptor {
getName() {
return "full-name-intercept";
}
async intercept(
table: Table,
interceptType: TRecordInterceptorType,
records: Record[],
_context: TRecordInterceptorContext,
) {
if (table.getName() === "student") {
console.log(`[collectionName=${table.getName()}, when=${interceptType}]`);
if (interceptType === "BEFORE_INSERT") {
for (const record of records) {
console.log(
`Full name field updated for :: ${record.get("first_name")}`,
);
record.set(
"full_name",
`${record.get("first_name")} ${record.get("last_name")}`,
);
}
}
if (interceptType === "AFTER_SELECT") {
for (const record of records) {
console.log(JSON.stringify(record.toJSON(), null, 4));
}
}
}
return records;
}
}
odm.addInterceptor(new FullNameIntercept());
const studentTable = client.table("student");
const studentRecord = studentTable.createNewRecord();
studentRecord.set("first_name", "John");
studentRecord.set("last_name", "Doe");
await studentRecord.insert();
await studentTable.toArray();
/* This will print the following:
[collectionName=student, operation=INSERT, when=BEFORE]
Full name field updated for :: John
[collectionName=student, operation=INSERT, when=AFTER]
[collectionName=student, operation=SELECT, when=BEFORE]
[collectionName=student, operation=SELECT, when=AFTER]
{
"id": "653c21bb-7d92-435e-a742-1da749f914dd",
"_table": "student",
"first_name": "John",
"last_name": "Doe",
"full_name": "John Doe"
}
*/
client.closeConnection();
Define custom field type
After connection established, you can define custom field type.
const client = await odm.connect(true);
class EmailType extends IDataType {
constructor() {
super("email");
}
getNativeType(_definition: TColumnDefinition): TColumnDataType {
return "VARCHAR";
}
toJSONValue(value: string | null): string | null {
return value;
}
validateDefinition(_columnDefinition: TColumnDefinition) {
// Throw an error if something in definition is not meeting your expectation.
}
setValueIntercept(newValue: any): any {
return newValue;
}
async validateValue(value: unknown): Promise<void> {
const pattern = "(.+)@(.+){2,}\\.(.+){2,}";
if (
value &&
typeof value === "string" &&
!new RegExp(pattern).test(value)
) {
throw new Error("Not a valid email");
}
}
}
odm.addDataType(new EmailType());
await client.defineTable({
name: "employee",
columns: [
{
name: "name",
type: "string",
},
{
name: "personal_contact",
type: "email",
},
{
name: "emp_no",
type: "uuid",
},
{
name: "salary",
type: "integer",
},
{
name: "birth_date",
type: "date",
},
{
name: "gender",
type: "boolean",
},
],
});
const studentTable = client.table("employee");
const student = studentTable.createNewRecord();
student.set("personal_contact", "NOT_EMAIL_VALUE");
student.set("birth_date", new Date());
try {
await student.insert(); // this will throw an error, because email is not valid
console.log("Student created");
} catch (error) {
console.log(error);
}
client.closeConnection();
Inheritance
const client = await odm.connect(true);
await client.defineTable({
name: "animal",
columns: [
{
name: "name",
type: "string",
},
],
});
const animalTable = client.table("animal");
const animal = animalTable.createNewRecord();
animal.set("name", "Puppy");
await animal.insert();
await client.defineTable({
name: "dog",
inherits: "animal",
final: true,
columns: [
{
name: "breed",
type: "string",
},
],
});
const dogTable = client.table("dog");
const husky = dogTable.createNewRecord();
husky.set("name", "Jimmy");
husky.set("breed", "Husky");
await husky.insert();
const animalCursor = await animalTable.execute();
for await (const animal of animalCursor()) {
console.log(animal.toJSON());
}
client.closeConnection();
Known limitations:
Data types
Data type | Record.get | Record.getJSONValue |
---|---|---|
boolean | boolean | boolean |
date | Temporal.PlainDate | string |
datetime | Temporal.PlainDateTime | string |
integer | number | number |
json | {} | {} |
number | number | number |
string | string | string |
uuid | string | string |
Check the examples >> here <<