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Object Document Mapper connecting NestJS to QLDB Quantum Ledger Database

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nest-qldb

QLDB Logo Nest Logo

A NestJS module wrapping Amazon's Quantum Ledger Database with clean dependency injection for auto-generated repsitory layers or simple query service layer.

Features

  • Extends the amazon-qldb-driver-nodejs work to add ODM functionality for QLDB common in NestJS.
  • A simple dependency injection model with NestQldbModule.forRoot(), NestQldbModule.forRootAsync().
  • Simple auto-generated CRUD repositories for models, injectable by @InjectRepository(model).
  • Provides a QldbQueryService provider for a simple Dapper-inspired query layer.

How To Use

Install

npm install --save nest-qldb

Importing

NestQldbModule.forRoot()

NestQldbModule.forRoot() is the simplest way to import the QLDB module and autowire @QldbTable decorators. We re-export the QldbDriver from amazon-qldb-driver-nodejs.
Note: It is necessary that the ledger be created before application initialization.

// app.module.ts

import { NestQldbModule, QldbDriver } from 'nest-qldb';
import { User } from './user.model.ts';

@Module({
  imports: [
    NestQldbModule.forRoot({
      qldbDriver: new QldbDriver('fake-ledger')
      createTablesAndIndexes: true,
      tables: [User],
    }),
  ],
})
class AppRootModule {}

driver

qldbDriver is the driver to manage connections to Amazon's Quantum Ledger Database.

NestQldbModule.forRootAsync()

NestQldbModule.forRootAsync() allows for a FactoryProvider or ValueProvider dependency declaration to import our module. Note that ExistingProvider and ClassProvider are not yet supported.

// app.module.ts
import { NestQldbModule, QldbDriver } from 'nest-qldb';
import { ConfigModule, ConfigService } from '@nestjs/config';
import { User } from './user.model.ts';

@Module({
  imports: [
    NestQldbModule.forRootAsync({
      qldbDriver: {
        useFactory: async (configService: ConfigService) => {
          return new QldbDriver(configService.qldbLedgerName, {
            credentials: new SharedIniFileCredentials({
              profile: config.qldbProfileName,
            }),
          });
        },
        inject: [ConfigService],
      },
      createTablesAndIndexes: true,
      tables: [User],
    }),
    ConfigModule.forRoot(),
  ],
})
class AppRootModule {}

Registering Models Binds them to QLDB tables

Models

Model classes are the shape of the data in your QLDB tables. The @QldbTable() decorator is used to register your model as a table in Quantum Ledger Database.
You can also define the tableName and indexes associated with that model. NOTE: You can only create index when tables are empty so in the module config. There is config on the module to perform this action at startup createTablesAndIndexes, it gracefully handles tables/indexes already created, however, it'll cost you a few seconds on a cold start so it is advised to turn it off in a production serverless scenario.
NOTE: Any id properties will be peeled off models before they are saved! id is reserved for the qldb documentid

With decorator

// user.model.ts
import { QldbTable } from 'nest-qldb';

@QldbTable({
  tableName: 'users',
  tableIndexes: ['name', 'phoneNumber'],
})
class User {
  name: string;
  dateOfBirth: Date;
  email: string;
  phoneNumber: string;
}
tableName

This is the name of the collection stored in QLDB.

tableIndexes

These indexes will be created upon table creation. You cannot create indexes after records are inserted, so be aware.

useMetadataKey

Default: true

This declares whether the key field should be a value in the QLDB metadata object (true), or a part of the data object (false).

keyField

Default: id

This declares the field that will be used as the key.

Repository injection

Repositories can be injected using the @InjectRepository() decorator. The repositories are created by nest-qldb and are a simple CRUD interface handy for quickly creating REST controllers.

  • query(query QldbQuery) - Performs Partiql query against table.
  • create(data: T) - Adds an object to the QLDB table
  • retrieve(id: string) - Fetches a single document by it's QLDB assigned id.
  • replace(id: string, data: T) - Replaces an entire document based on the id.
  • destroy(id: string) - Deletes an object from the table but not its change history from the ledger.
  • history(id: string) - Fetches all versions of a document across history
  • createMany(data: T[]) - Will save many records in transactional batches of 40.
@Controller()
class UserController {
  constructor(
    @InjectRepository(User) readonly usersRepository: Repository<User>,
  ) {}

  @Get(':id')
  async getById(id: string) {
    return await this.usersRepository.retrieve(id);
  }
}

QldbQueryService

The QldbQueryService provider exposes simple methods that query and map the object to plain JSON objects.

  • query - Performs a query returning a list of rows mapped to a plain JSON object.
  • querySingle - Performs a query returning a single row mapped to a plain JSON object.
  • queryForSubdocument - Performs a query returning a list of nested documents in rows mapped to a plain JSON object.
  • querySingleForSubdocument - Performs a query returning a nested documents in single row mapped to a plain JSON object.
  • execute - Performs a query that returns no results. Ideal for inserts, updates, and deletes.
import { Injectable } from '@nestjs/common';
import { QldbQueryService } from 'nest-qldb';
import { SearchResult } from './search.interfaces';

@Injectable()
class UserService {
  constructor(private readonly queryService: QldbQueryService) {}

  async searchUsers(searchQuery: string) {
    return await this.queryService.query<SearchResult>(
      `
      SELECT
        id as userId,
        u.name as userName,
        u.email as userEmail
      FROM users AS u BY id
      WHERE LOWER(u.name) LIKE ?
        OR LOWER(u.email) LIKE ?
      `,
      searchQuery?.toLocaleLowerCase(),
    );
  }
}

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License

nest-qldb is MIT licensed.

Several core NestDependencies moved to peer dependencies to shrink package size.

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Object Document Mapper connecting NestJS to QLDB Quantum Ledger Database

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