Javascript

Setting Up TypeORM Migrations in an Nx/NestJS Project

Feb 22, 2023

4 min read

TypeORM is a powerful Object-Relational Mapping (ORM) library for TypeScript and JavaScript that serves as an easy-to-use interface between an application's business logic and a database, providing an abstraction layer that is not tied to a particular database vendor. TypeORM is the recommended ORM for NestJS as both are written in TypeScript, and TypeORM is one of the most mature ORM frameworks available for TypeScript and JavaScript.

One of the key features of any ORM is handling database migrations, and TypeORM is no exception. A database migration is a way to keep the database schema in sync with the application's codebase. Whenever you update your codebase's persistence layer, perhaps you'll want the database schema to be updated as well, and you want a reliable way for all developers in your team to do the same with their local development databases.

In this blog post, we'll take a look at how you could implement database migrations in your development workflow if you use a NestJS project. Furthermore, we'll give you some ideas of how nx can help you as well, if you use NestJS in an nx-powered monorepo.

Migrations Overview

In a nutshell, migrations in TypeORM are TypeScript classes that implement the MigrationInterface interface. This interface has two methods: up and down, where up is used to execute the migration, and down is used to rollback the migration. Assuming that you have an entity (class representing the table) as below:

import { Entity, Column, PrimaryGeneratedColumn } from "typeorm"

@Entity()
export class Post {
  @PrimaryGeneratedColumn()
  id: number

  @Column()
  title: string

  @Column()
  text: string
}

If you generate a migration from this entity, it could look as follows:

import { MigrationInterface, QueryRunner } from 'typeorm';

export class CreatePost1674827561606 implements MigrationInterface {
  name = 'CreatePost1674827561606';

  public async up(queryRunner: QueryRunner): Promise<void> {
    await queryRunner.query(
      `CREATE TABLE "post" ("id" SERIAL NOT NULL, "title" character varying NOT NULL, "text" character varying NOT NULL, CONSTRAINT "PK_be5fda3aac270b134ff9c21cdee" PRIMARY KEY ("id"))`
    );
  }

  public async down(queryRunner: QueryRunner): Promise<void> {
    await queryRunner.query(`DROP TABLE "post"`);
  }
};

As can be seen by the SQL commands, the up method will create the post table, while the down method will drop it. How do we generate the migration file, though? The recommended way is through the TypeORM CLI.

TypeORM CLI and TypeScript

The CLI can be installed globally, by using npm i -g typeorm. It can also be used without installation by utilizing the npx command: npx typeorm <params>. The TypeORM CLI comes with several scripts that you can use, depending on the project you have, and whether the entities are in JavaScript or TypeScript, with ESM or CommonJS modules:

typeorm: for JavaScript entities
typeorm-ts-node-commonjs: for TypeScript entities using CommonJS
typeorm-ts-node-esm: for TypeScript entities using ESM

Many of the TypeORM CLI commands accept a data source file as a mandatory parameter. This file provides configuration for connecting to the database as well as other properties, such as the list of entities to process. The data source file should export an instance of DataSource, as shown in the below example:

// typeorm.config.ts

import { DataSource } from 'typeorm';
import { Post } from './models/post.entity';

export default new DataSource({
  type: 'postgres',
  host: process.env.DATABASE_HOST,
  port: parseInt(process.env.DATABASE_PORT as string),
  username: process.env.DATABASE_USERNAME,
  password: process.env.DATABASE_PASSWORD,
  database: process.env.DATABASE_NAME,
  entities: [Post],
});

To use this data source, you would need to provide its path through the -d argument to the TypeORM CLI. In a NestJS project using ESM, this would be:

typeorm-ts-node-esm -d src/typeorm.config.ts migration:generate CreatePost

If the DataSource did not import the Post entity from another file, this would most likely succeed. However, in our case, we would get an error saying that we "cannot use import statement outside a module". The typeorm-ts-node-esm script expects our project to be a module -- and any importing files need to be modules as well. To turn the Post entity file into a module, it would need to be named post.entity.mts to be treated as a module.

This kind of approach is not always preferable in NestJS projects, so one alternative is to transform our DataSource configuration to JavaScript - just like NestJS is transpiled to JavaScript through Webpack. The first step is the transpilation step:

tsc src/typeorm.config.ts --outDir "./dist"

Once transpiled, you can then use the regular typeorm CLI to generate a migration:

typeorm -d dist/typeorm.config.js migration:generate CreatePost

Both commands can be combined together in a package.json script:

// package.json

{
  "scripts": {
    "typeorm-generate-migrations": "tsc src/typeorm.config.ts --outDir ./dist && typeorm -d dist/typeorm.config.js migration:generate"
  }  
}

After the migrations are generated, you can use the migration:run command to run the generated migrations. Let's upgrade our package.json with that command:

// package.json

{
  "scripts": {
    "typeorm-build-config": "tsc src/typeorm.config.ts --outDir ./dist",
    "typeorm-generate-migrations": "npm run typeorm-build-config && typeorm -d dist/typeorm.config.js migration:generate",
    "typeorm-run-migrations": "npm run typeorm-build-config && typeorm -d dist/typeorm.config.js migration:run"
  }  
}

Using Tasks in Nx

If your NestJS project is part of an nx monorepo, then you can utilize nx project tasks. The benefit of this is that nx will detect your tsconfig.json as well as inject any environment variables defined in the project. Assuming that your NestJS project is located in an app called api, the above npm scripts can be written as nx tasks as follows:

// apps/api/project.json
{
  // ...
  "targets": {
    "build-migration-config": {
      "executor": "@nrwl/node:webpack",
      "outputs": ["{options.outputPath}"],
      "options": {
        "outputPath": "dist/apps/typeorm-migration",
        "main": "apps/api/src/app/typeorm.config.ts",
        "tsConfig": "apps/api/tsconfig.app.json"
      }
    },
    "typeorm-generate-migrations": {
      "executor": "@nrwl/workspace:run-commands",
      "outputs": ["{options.outputPath}"],
      "options": {
        "cwd": "apps/api",
        "commands": ["typeorm -d ../../dist/apps/typeorm-migration/main.js migration:generate"]
      },
      "dependsOn": ["build-migration-config"]
    },
    "typeorm-run-migrations": {
      "executor": "@nrwl/workspace:run-commands",
      "outputs": ["{options.outputPath}"],
      "options": {
        "cwd": "apps/api",
        "commands": ["typeorm -d ../../dist/apps/typeorm-migration/main.js migration:run"]
      },
      "dependsOn": ["build-migration-config"]
    }
  },
  "tags": []
}

The typeorm-generate-migration and typeorm-run-migrations tasks depend on the build-migration-config task, meaning that they will always transpile the data source config first, before invoking the typeorm CLI.

For example, the previous CreatePost migration could be generated through the following command:

 nx run api:typeorm-generate-migration CreatePost

Conclusion

TypeORM is an amazing ORM framework, but there are a few things you should be aware of when running migrations within a big TypeScript project like NestJS. We hope we managed to give you some tips on how to best incorporate migrations in an NestJS project, with and without nx.

This Dot is a consultancy dedicated to guiding companies through their modernization and digital transformation journeys. Specializing in replatforming, modernizing, and launching new initiatives, we stand out by taking true ownership of your engineering projects.

We love helping teams with projects that have missed their deadlines or helping keep your strategic digital initiatives on course. Check out our case studies and our clients that trust us with their engineering.

Dario Djuric

Dario is a full-stack engineer who has spent most of his career doing enterprise Java projects. He has always had a hidden passion for frontend, though -- and he is now able to pursue that passion at This Dot. He spends most of his free time with his two sons, but occasionally, he manages to squeeze in some casual sports activities such as jogging, cycling, and soccer.

@dario_djuric @dariodjuric

Combining Validators and Transformers in NestJS

When building a new API, it is imperative to validate that requests towards the API conform to a predefined specification or a contract. For example, the specification may state that an input field must be a valid e-mail string. Or, the specification may state that one field is optional, while another field is mandatory. Although such validation can also be performed on the client side, we should never rely on it alone. There should always be a validation mechanism on the server side as well. After all, you never know who's acting on behalf of the client. Therefore, you can never fully trust the data you receive. Popular backend frameworks usually have a very good support for validation out of the box, and NestJS, which we will cover in this blog post, is no exception. In this blog post, we will be focusing on NestJS's validation using ValidationPipe- specifically on one lesser known feature- which is the ability to not only validate input, but transform it beforehand as well, thereby combining transformation and validation of data in one go. Using ValidationPipe To test this out, let's build a UsersController that supports getting a list of users, and with the option to filter by several conditions. After scaffolding our project using nest new [project-name], let's define a class that will represent this collection of filters, and name it GetUsersQuery: ` Now, let's use it in the controller: ` The problem with this approach is that there is no validation performed whatsoever. Although we've defined userIds as an array of strings, and pageSize as a number, this is just compile-time verification - there is no runtime validation. In fact, if you execute a GET request on http://localhost:3000/users?userIds=1,2,3&pageSize=3, the query object will actually contain only string fields: ` There's a way to fix this in NestJS. First, let's install the dependencies needed for using data transformation and validation in NestJS: ` As their names would suggest, the class-validator package brings support for validating data, while the class-transformer package brings support for transforming data. Each package adds some decorators of their own to aid you in this. For example, the class-validator package has the @IsNumber() decorator to perform runtime validation that a field is a valid number, while the class-transformer package has the @Type() decorator to perform runtime transformation from one type to another. Having that in mind, let's decorate our GetUsersQuery a bit: ` This is not enough, though. To utilize the class-validator decorators, we need to use the ValidationPipe. Additionally, to utilize the class-transformer decorators, we need to use ValidationPipe with its transform: true flag: ` Here's what happens in the background. As said earlier, by default, every path parameter and query parameter comes over the network as a string. We _could_ convert these values to their JavaScript primitives in the controller (array of strings and a number, respectively), or we can use the transform: true property of the ValidationPipe to do this automatically. NestJS does need some guidance on how to do it, though. That's where class-transformer decorators come in. Internally, NestJS will use Class Transformer's plainToClass method to convert the above object to an instance of the GetUsersQuery class, using the Class Transformer decorators to transform the data along the way. After this, our object becomes: ` Now, Class Validator comes in, using its annotations to validate that the data comes in as expected. Why is Class Validator needed if we already transformed the data beforehand? Well, Class Transformer will not throw any errors if it failed to transform the data. This means that, if you provided a string like "testPageSize" to the pageSize query parameter, our query object will actually come in as: ` And this is where Class Validator will kick in and raise an error that pageSize is not a proper number: ` Other transformation options The @Type and @Transform decorators give us all kinds of options for transforming data. For example, strings can be converted to dates and then validated using the following combination of decorators: ` We can do the same for booleans: ` If we wanted to define advanced transformation rules, we can do so through an anonymous function passed to the @Transform decorator. With the following transformation, we can also accept isActive=1 in addition to isActive=true, and it will properly get converted to a boolean value: ` Conclusion This was an overview of the various options you have at your disposal when validating and transforming data. As you can see, NestJS gives you many options to declaratively define your validation and transformation rules, which will be enforced by ValidationPipe. This allows you to focus on your business logic in controllers and services, while being assured that the controller inputs have been properly validated. You'll find the source code for this blog post's project on our GitHub....

Oct 27, 2022

3 mins

NestJS

Linting, Formatting, and Type Checking Commits in an Nx Monorepo with Husky and lint-staged

One way to keep your codebase clean is to enforce linting, formatting, and type checking on every commit. This is made very easy with pre-commit hooks. Using Husky, you can run arbitrary commands before a commit is made. This can be combined with lint-staged, which allows you to run commands on only the files that have been staged for commit. This is useful because you don't want to run linting, formatting, and type checking on every file in your project, but only on the ones that have been changed. But if you're using an Nx monorepo for your project, things can get a little more complicated. Rather than have you use eslint or prettier directly, Nx has its own scripts for linting and formatting. And type checking is complicated by the use of specific tsconfig.json files for each app or library. Setting up pre-commit hooks with Nx isn't as straightforward as in a simpler repository. This guide will show you how to set up pre-commit hooks to run linting, formatting, and type checking in an Nx monorepo. Configure Formatting Nx comes with a command, nx format:write for applying formatting to affected files which we can give directly to lint-staged. This command uses Prettier under the hood, so it will abide by whatever rules you have in your root-level .prettierrc file. Just install Prettier, and add your preferred configuration. ` Then add a .prettierrc file to the root of your project with your preferred configuration. For example, if you want to use single quotes and trailing commas, you can add the following: ` Configure Linting Nx has its own plugin that uses ESLint to lint projects in your monorepo. It also has a plugin with sensible ESLint defaults for your linter commands to use, including ones specific to Nx. To install them, run the following command: ` Then, we can create a default .eslintrc.json file in the root of our project: ` The above ESLint configuration will, by default, apply Nx's module boundary rules to any TypeScript or JavaScript files in your project. It also applies its recommended rules for JavaScript and TypeScript respectively, and gives you room to add your own. You can also have ESLint configurations specific to your apps and libraries. For example, if you have a React app, you can add a .eslintrc.json file to the root of your app directory with the following contents: ` Set Up Type Checking Type checking with tsc is normally a very straightforward process. You can just run tsc --noEmit to check your code for type errors. But things are more complicated in Nx with lint-staged. There are a two tricky things about type checking with lint-staged in an Nx monorepo. First, different apps and libraries can have their own tsconfig.json files. When type checking each app or library, we need to make sure we're using that specific configuration. The second wrinkle comes from the fact that lint-staged passes a list of staged files to commands it runs by default. And tsc will only accept either a specific tsconfig file, or a list of files to check. We do want to use the specific tsconfig.json files, and we also only want to run type checking against apps and libraries with changes. To do this, we're going to create some Nx run commands within our apps and libraries and run those instead of calling tsc directly. Within each app or library you want type checked, open the project.json file, and add a new run command like this one: ` Inside commands is our type-checking command, using the local tsconfig.json file for that specific Nx app. The cwd option tells Nx where to run the command from. The forwardAllArgs option tells Nx to ignore any arguments passed to the command. This is important because tsc will fail if you pass both a tsconfig.json and a list of files from lint-staged. Now if we ran nx affected --target=typecheck from the command line, we would be able to type check all affected apps and libraries that have a typecheck target in their project.json. Next we'll have lint-staged handle this for us. Installing Husky and lint-staged Finally, we'll install and configure Husky and lint-staged. These are the two packages that will allow us to run commands on staged files before a commit is made. ` In your package.json file, add the prepare script to run Husky's install command: ` Then, run your prepare script to set up git hooks in your repository. This will create a .husky directory in your project root with the necessary file system permissions. ` The next step is to create our pre-commit hook. We can do this from the command line: ` It's important to use Husky's CLI to create our hooks, because it handles file system permissions for us. Creating files manually could cause problems when we actually want to use the git hooks. After running the command, we will now have a file at .husky/pre-commit that looks like this: ` Now whenever we try to commit, Husky will run the lint-staged command. We've given it some extra options. First, --concurrent false to make sure attempts to write fixes with formatting and linting don't conflict with simultaneous attempts at type checking. Second is --relative, because our Nx commands for formatting and linting expect a list of file paths relative to the repo root, but lint-staged would otherwise pass the full path by default. We've got our pre-commit command ready, but we haven't actually configured lint-staged yet. Let's do that next. Configuring lint-staged In a simpler repository, it would be easy to add some lint-staged configuration to our package.json file. But because we're trying to check a complex monorepo in Nx, we need to add a separate configuration file. We'll call it lint-staged.config.js and put it in the root of our project. Here is what our configuration file will look like: ` Within our module.exports object, we've defined two globs: one that will match any TypeScript files in our apps, libraries, and tools directories, and another that also matches JavaScript and JSON files in those directories. We only need to run type checking for the TypeScript files, which is why that one is broken out and narrowed down to only those files. These globs defining our directories can be passed a single command, or an array of commands. It's common with lint-staged to just pass a string like tsc --noEmit or eslint --fix. But we're going to pass a function instead to combine the list of files provided by lint-staged with the desired Nx commands. The nx affected and nx format:write commands both accept a --files option. And remember that lint-staged always passes in a list of staged files. That array of file paths becomes the argument to our functions, and we concatenate our list of files from lint-staged into a comma-delimitted string and interpolate that into the desired Nx command's --files option. This will override Nx's normal behavior to explicitly tell it to only run the commands on the files that have changed and any other files affected by those changes. Testing It Out Now that we've got everything set up, let's try it out. Make a change to a TypeScript file in one of your apps or libraries. Then try to commit that change. You should see the following in your terminal as lint-staged runs: ` Now, whenever you try to commit changes to files that match the globs defined in lint-staged.config.js, the defined commands will run first, and verify that the files contain no type errors, linting errors, or formatting errors. If any of those commands fail, the commit will be aborted, and you'll have to fix the errors before you can commit. Conclusion We've now set up a monorepo with Nx and configured it to run type checking, linting, and formatting on staged files before a commit is made. This will help us catch errors before they make it into our codebase, and it will also help us keep our codebase consistent and readable. To see an example Nx monorepo with these configurations, check out this repo....

May 10, 2023

6 mins

Angular 17: Continuing the Renaissance

Angular 17: A New Era November 8th marked a significant milestone in the world of Angular with the release of Angular 17. This wasn't just any ordinary update; it was a leap forward, signifying a new chapter for the popular framework. But what made this release truly stand out was the unveiling of Angular's revamped website, complete with a fresh brand identity and a new logo. This significant transformation represents the evolving nature of Angular, aligning with the modern demands of web development. To commemorate this launch, we also hosted a release afterparty, where we went deep into its new features with Minko Gechev from the Angular core team, and Google Developer Experts (GDEs) Brandon Roberts, Deborah Kurata, and Enea Jahollari. But what exactly are these notable new features in the latest version? Let's dive in and explore. The Angular Renaissance Angular has been undergoing a significant revival, often referred to as Angular's renaissance, a term coined by Sarah Drasner, the Director of Engineering at Google, earlier this year. This revival has been particularly evident in its recent versions. The Angular team has worked hard to introduce many new improvements, focusing on signal-based reactivity, hydration, server-side rendering, standalone components, and migrating to esbuild and Vite for a better and faster developer experience. This latest release, in particular, marks many of these features as production-ready. Standalone Components About a year ago, Angular began a journey toward modernity with the introduction of standalone components. This move significantly enhanced the developer experience, making Angular more contemporary and user-friendly. In Angular's context, a standalone component is a self-sufficient, reusable code unit that combines logic, data, and user interface elements. What sets these components apart is their independence from Angular's NgModule system, meaning they do not rely on it for configuration or dependencies. By setting a standalone: true flag, you no longer need to embed your component in an NgModule and you can bootstrap directly off that component: ` Compared to the NgModules way of adding components, as shown below, you can immediately see how standalone components make things much simpler. ` In this latest release, the Angular CLI now defaults to generating standalone components, directives, and pipes. This default setting underscores the shift towards a standalone-centric development approach in Angular. New Syntax for Enhanced Control Flow Angular 17 introduces a new syntax for control flow, replacing traditional structural directives like ngIf or ngFor, which have been part of Angular since version 2. This new syntax is designed for fine-grained change detection and eventual zone-less operation when Angular completely migrates to signals. It's more streamlined and performance-efficient, making handling conditional or list content in templates easier. The @if block replaces *ngIf for expressing conditional parts of the UI. ` The @switch block replaces ngSwitch, offering benefits such as not requiring a container element to hold the condition expression or each conditional template. It also supports template type-checking, including type narrowing within each branch. ``` The @for block replaces *ngFor for iteration and presents several differences compared to its structural directive predecessor, ngFor. For example, the tracking expression (calculating keys corresponding to object identities) is mandatory but offers better ergonomics. Additionally, it supports @empty blocks. ` Defer Block for Lazy Loading Angular 17 introduces the @defer block, a dramatically improving lazy loading of content within Angular applications. Within the @defer block framework, several sub-blocks are designed to elegantly manage different phases of the deferred loading process. The main content within the @defer block is the segment designated for lazy loading. Initially, this content is not rendered, becoming visible only when specific triggers are activated or conditions are met, and after the required dependencies have been loaded. By default, the trigger for a @defer block is the browser reaching an idle state. For instance, take the following block: it delays the loading of the calendar-imp component until it comes into the viewport. Until that happens, a placeholder is shown. This placeholder displays a loading message when the calendar-imp component begins to load, and an error message if, for some reason, the component fails to load. ` The on keyword supports a wide a variety of other conditions, such as: - idle (when the browser has reached an idle state) - interaction (when the user interacts with a specified element) - hover (when the mouse has hovered over a trigger area) - timer(x) (triggers after a specified duration) - immediate (triggers the deferred load immediately) The second option of configuring when deferring happens is by using the when keyword. For example: ` Server-Side Rendering (SSR) Angular 17 has made server-side rendering (SSR) much more straightforward. Now, a --ssr option is included in the ng new command, removing the need for additional setup or configurations. When creating a new project with the ng new command, the CLI inquires if SSR should be enabled. As of version 17, the default response is set to 'No'. However, for version 18 and beyond, the plan is to enable SSR by default in newly generated applications. If you prefer to start with SSR right away, you can do so by initializing your project with the --ssr flag: ` For adding SSR to an already existing project, utilize the ng add command of the Angular CLI: ` Hydration In Angular 17, the process of hydration, which is essential for reviving a server-side rendered application on the client-side, has reached a stable, production-ready status. Hydration involves reusing the DOM structures rendered on the server, preserving the application's state, and transferring data retrieved from the server, among other crucial tasks. This functionality is automatically activated when server-side rendering (SSR) is used. It offers a more efficient approach than the previous method, where the server-rendered tree was completely replaced, often causing visible UI flickers. Such re-rendering can adversely affect Core Web Vitals, including Largest Contentful Paint (LCP), leading to layout shifts. By enabling hydration, Angular 17 allows for the reuse of the existing DOM, effectively preventing these flickers. Support for View Transitions The new View Transitions API, supported by some browsers, is now integrated into the Angular router. This feature, which must be activated using the withViewTransitions function, allows for CSS-based animations during route transitions, adding a layer of visual appeal to applications. To use it, first you need to import withViewTransitions: ` Then, you need to add it to the provideRouter configuration: ` Other Notable Changes - Angular 17 has stabilized signals, initially introduced in Angular 16, providing a new method for state management in Angular apps. - Angular 17 no longer supports Node 16. The minimal Node version required is now 18.13. - TypeScript version 5.2 is the least supported version starting from this release of Angular. - The @Component decorator now supports a styleUrl attribute. This allows for specifying a single stylesheet path as a string, simplifying the process of linking a component to a specific style sheet. Previously, even for a single stylesheet, an array was required under styleUrls. Conclusion With the launch of Angular 17, the Angular Renaissance is now in full swing. This release has garnered such positive feedback that developers are showing renewed interest in the framework and are looking forward to leveraging it in upcoming projects. However, it's important to note that it might take some time for IDEs to adapt to the new templating syntax fully. While this transition is underway, rest assured that you can still write perfectly valid code using the old templating syntax, as all the changes in Angular 17 are backward compatible. Looking ahead, the future of Angular appears brighter than ever, and we can't wait to see what the next release has in store!...

Nov 20, 2023

6 mins

AngularTypeScriptJavaScript

6 Steps to AI Adoption: Benefits of LLMs & SLMs with Jerome Hardaway and Rob Ocel

Rob Ocel and Jerome Hardaway continue their series on AI adoption by exploring the world of AI, focusing on small language models (SLMs) and large language models (LLMs). They compare the unique capabilities of SLMs against the vast knowledge encompassed by LLMs, and highlight the transformative potential of AI in driving creativity, problem-solving, and user-centric design in technology. SLMs are designed to excel at specific tasks, offering faster processing and cost-effectiveness due to their open-source nature. These models have proven to be invaluable in sectors like finance, where data security is of utmost importance. By leveraging SLMs, organizations can enhance their security measures and protect sensitive information. Moreover, SLMs provide a stepping stone for engineers to adapt to new technologies and incorporate AI into their work, ultimately improving user experiences. On the other hand, LLMs encompass a wide range of knowledge, making them incredibly versatile. These models have the potential to transform industries by providing insights, predictions, and solutions to complex problems. With advancements in AI chip technology by tech giants like Apple, Nvidia, Google, and Meta, LLMs are becoming even more powerful and efficient. Evaluating AI models based on factors like stability and industry support is crucial to harnessing the full potential of LLMs. The conversation also addresses some ethical questions related to AI implementation. While AI brings numerous benefits, concerns about job displacement cannot be ignored. As AI continues to evolve, it is essential to strike a balance between automation and human involvement. Engineers must focus on improving AI sophistication and seamless integration into user interactions, ensuring that AI enhances human capabilities rather than replacing them. Additionally, ethical guidelines and regulations must be established to address potential biases and ensure responsible AI implementation. Download this episode here....

Apr 23, 2024

2 mins

Engineering Leadership

Setting Up TypeORM Migrations in an Nx/NestJS Project

Migrations Overview

TypeORM CLI and TypeScript

Using Tasks in Nx

Conclusion

Dario Djuric

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