Introduction

When building multi-tenant applications with Laravel, managing database schemas for each tenant can become complex. We recently improved our tenant schema population process in the platform project to handle various edge cases and ensure data integrity across companies.

The Problem

Our initial schema population process had several limitations:

1. PostgreSQL's

Introduction

Row-level filtering is common for multi-tenancy, but what if you need stronger isolation? At Reimpact's platform, we're migrating towards PostgreSQL schemas to achieve true tenant separation, leveraging Laravel, Filament, and the middleware pattern.

This post details our approach to dynamically setting the PostgreSQL search_path for each tenant, ensuring data isolation and

Introduction

When building multi-tenant applications, choosing the right architecture is critical. This post explores how to leverage PostgreSQL schemas within a Laravel application to achieve tenant isolation, enhance security, and improve scalability.

The Multi-Tenant Challenge

Traditional multi-tenant approaches often involve sharing a single database and distinguishing tenants by a

Introduction

When developing dashboards that rely on precise data comparisons in PostgreSQL, case sensitivity can be a silent but critical issue. This post examines a case in the Reimpact platform where case sensitivity in unit comparisons caused dashboard calculations to return incorrect results, and how it was resolved.

The Problem: Case-Sensitive Comparisons

PostgreSQL, by default,

When developing applications using Laravel with a PostgreSQL database, maintaining strict data type consistency is crucial, especially when dealing with dashboard functionalities that aggregate data. PostgreSQL's strong type checking can lead to unexpected errors if data types don't match exactly between the database schema and the application's expectations.

The Problem: Type Mismatches

When developing applications across different database systems, ensuring compatibility in your queries is crucial. Minor differences in SQL syntax can lead to unexpected errors and application downtime. Let's explore a practical example of adapting queries for PostgreSQL.

The Challenge: Date Extraction

MySQL provides functions like YEAR() and MONTH() to extract year and month values from

Introduction

Recently, users of the Reimpact platform experienced instability in their dashboards. This was due to a combination of data inconsistencies and error handling issues. Specifically, missing data in the public.rates table and unhandled PostgreSQL errors were causing Livewire components to crash, impacting the entire dashboard experience.

Introduction

The Reimpact platform is undergoing improvements in how it manages tenant schemas and streamlines database refreshing. These changes aim to improve data consistency, developer experience, and overall system maintainability.

Tenant Schema Updates

Several updates have been made to how tenant schemas are populated and managed:

• Purchase Data Mapping: Added a mapping for

The landing project focuses on creating engaging user experiences. Recent work has concentrated on refining data storage and ensuring application stability.

Addressing PostgreSQL DISTINCT Errors with JSONB

A recurring issue involved PostgreSQL's inability to efficiently use DISTINCT with JSON columns. This manifested as numerous daily errors, particularly within the Campaign editor's

Introduction

When working with database migrations and seeders in Laravel, particularly with PostgreSQL, developers sometimes encounter issues related to SQL parsing. One such issue arises when attempting to seed data into a table that already exists but is missing a specific column.