PostgreSQL provides many options for working with geographical data, especially with the PostGIS extension. In this article, we’ll explore how to calculate the distance between two coordinates and how to identify locations within a specific radius. If you want to check out the basics of storing coordinates in PostgreSQL with the Drizzle ORM, check out […]
Many applications rely on geographical data to calculate distances and track locations. PostgreSQL offers several ways to store geospatial data, each designed with different goals. In this article, we learn how to store coordinates when working with PostgreSQL and the Drizzle ORM. Latitude and longitude A coordinate consists of two numbers that pinpoint a location […]
When we execute an SQL query, PostgreSQL follows a process that consists of multiple steps. First, it parses the SQL statement, checking for syntax errors. Next, it analyzes whether the tables and columns used in the query exist. Then, it plans the instructions necessary to achieve the desired result. Finally, it executes the instructions based on […]
As our application grows, it gets increasingly important to create a file structure that’s easy to maintain. Also, if we care about it from the start, it is easier to achieve. In this article, we learn how to organize the database schema when working with the Drizzle ORM and NestJS. Handling column names When working […]
Searching through text documents is a very common feature in many web applications. In this article, we learn how to implement it using pattern matching using the Drizzle ORM, PostgreSQL, and NestJS. Pattern matching with LIKE and ILIKE With pattern matching, we can determine if a given piece of text matches a particular pattern. To […]
When fetching data from the database, we often don’t want to present it to the user in its raw form. To prevent that, we need to serialize the response in NestJS before sending it. The most popular way to achieve that in NestJS is using the class-transformer library. In this article, we explain how to […]
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 […]
When users send an HTTP request to our API, they use a specific method to indicate whether they want to retrieve, send, delete, or update data. While we could technically delete data on a GET request, it’s our responsibility to design the API in a way that is intuitive and adheres to best practices. Most […]
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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We can’t cut corners on certain aspects of web development, and storing monetary values is one of them. In this article, we explore various data types in PostgreSQL we could use and discuss which ones to avoid. The drawbacks of floating point numbers When thinking about money, we often have to deal with fractions – […]
