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 […]
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 […]
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 […]
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 […]
As our database grows, maintaining good performance becomes more important. Returning large amounts of data at once through our API can negatively affect efficiency. A common solution is to divide data into smaller chunks, presenting it to the user as infinite scrolling or multiple pages. In this article, we implement this approach using PostgreSQL and […]
Thanks to some of its features, PostgreSQL sets itself apart from other SQL databases. Unlike many SQL databases that limit columns to single entries, PostgreSQL lets us store multiple values in a single column. This simplifies database design and can improve performance. In this article, we will explore the practical uses of arrays in PostgreSQL […]
PostgreSQL is well-suited for handling structured data and keeping everything organized and consistent. On the other hand, MongoDB stores data in flexible JSON-like documents, making it ideal for data with varying attributes and changing requirements. While SQL databases have many advantages, there are times when flexibility is needed. Fortunately, PostgreSQL bridges this gap by allowing […]
Deleting entities is a standard feature in most REST APIs. The most straightforward approach is to remove rows from the database permanently. However, we can use soft deletes to keep the deleted entities in our database. In this article, we learn how to do it using the Drizzle ORM and PostgreSQL. Introducing soft deletes To […]
Storing date and time in a database can be challenging, but it’s important to get it right. In this article, we solve this problem using PostgreSQL and the Drizzle ORM. We also delve into time zones and how to manage them in our database. Managing dates with PostgreSQL We can understand how our database handles […]
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. […]
