Relational databases are known for their strict data structures. Every table requires a defined schema, including columns, indexes, and relationships. Despite careful planning during database design, application requirements often evolve. As a result, the database must adapt to keep up with these new needs. However, it’s crucial to ensure that no existing data is lost […]
PostgreSQL uses schemas as namespaces within the database to hold tables and other structures, such as indexes. In this article, we explain how to use them with the Drizzle ORM and how they can be beneficial. The public schema Out of the box, PostgreSQL creates a schema called public for each new database. database-schema.ts
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import { serial, text, pgTable } from 'drizzle-orm/pg-core'; export const articles = pgTable('articles', { id: serial('id').primaryKey(), title: text('title').notNull(), content: text('content').notNull(), }); export const databaseSchema = { articles, }; |
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It’s not uncommon for a single table to be related to multiple similar tables. A good example is a comment the user can write under a photo, an article, or an audio file. A possible approach would be to create a separate table for each type of comment, such as PhotoComment or ArticleComment. Unfortunately, this […]
Sometimes, in our application, we would like to define a specific duration of time. We could represent it as a number of seconds, for example. However, we might want to be more flexible and be able to use various units, such as minutes, hours, days, or weeks. In this article, we learn how to achieve […]
With PostgreSQL’s full-text search feature, we can quickly find documents that contain a particular word or phrase. It can also sort the results to show the most relevant matches first. In this article, we learn how to implement it with the Drizzle ORM, PostgreSQL, and NestJS. Column types used with the text-search feature To implement […]
Our SQL queries can become more complex as the application we develop grows. To deal with that, PostgreSQL implements views that act as virtual tables with rows and columns from which we can select. Additionally, we can create a cached version of our data using materialized views that store our virtual tables in the database. […]
Creating relationships across tables is a crucial aspect of working with SQL databases. Previously, this series focused on using the Drizzle ORM to create simple relationships, such as one-to-one and many-to-one relationships. In this article, we learn about many-to-many relationships, which are slightly more complex. Introducing many-to-many relationships A many-to-many relationship is necessary when multiple […]
Ensuring the integrity of the data is a fundamental responsibility of each developer. Fortunately, SQL databases give us the tools to ensure our database stays consistent and accurate. A crucial scenario to consider is when two SQL queries depend on each other. A typical example is transferring money between two bank accounts. Suppose we have […]
When working with SQL databases, we can configure constraints to ensure our data does not get corrupted. In this article, we explore and implement different SQL constraints using PostgreSQL, NestJS, and the Drizzle ORM. Not-null constraint By default, SQL columns can hold nulls, representing an absence of value. We need the not-null constraint using the […]
Managing relationships between tables is a significant part of dealing with SQL databases. In this article, we continue learning to use Drizzle ORM with NestJS and implement many-to-one relationships. Check out this repository if you want to see the full code from this article. The many-to-one relationship With many-to-one relationships, a row from the first […]
