Implement CQRS in PHP. The Right Way.
Implementing Command Query Responsibility Segregation correctly means weeks of manual infrastructure work. Jardis generates commands, queries, handlers, and response objects as separate, typed DTOs, structurally enforced instead of by convention.
Everyone wants CQRS. Almost nobody implements it correctly in PHP.
The pattern sounds simple. Consistent, long-term implementation in real projects is not.
Read and write paths blend together
It starts with a query that writes data on the side. Or a command that returns a result. A few sprints later, the separation is purely theoretical. Repositories serve both read and write, and there are no DTOs.
Every handler looks different
Every developer implements commands and queries differently. Sometimes with a dedicated handler, sometimes inline in the controller. Sometimes with a response object, sometimes returning an array. No uniform pattern, no predictability.
Weeks spent on infrastructure
Before the team writes the first line of business logic, weeks pass with command bus setup, query bus configuration, DTO base classes, and handler registration. Recurring infrastructure work that looks identical in every PHP project and still happens manually every time.
How Jardis Implements CQRS.
Not as an optional convention, but as physical separation in dedicated namespaces.
Typed commands with dedicated handlers
Jardis generates a CommandDTO and a dedicated CommandHandler for every write operation. Commands live in their own namespace within the Bounded Context. No mixing with queries, no generic handlers, no shortcuts.
The read side as its own path
Every query gets a QueryDTO, a QueryHandler, and a typed response object. The 5-stage repository pipeline separates read and write paths at the repository level. Queries only access read repositories, commands only access write repositories.
CQRS PHP implementation without erosion
Commands and queries live in separate namespaces within every Bounded Context. This separation is not a guideline you can ignore. It is the folder structure itself. New team members see immediately what is a command and what is a query.
See what three files turn into.
Three definition files in, a complete bounded context out. Browse the generated code.
# Database Schema — Sales Bounded Context
# This file defines the persistent storage structure.
schema:
domain: ECommerce
boundedContext: Sales
tables:
order:
columns:
id:
type: integer
primary: true
autoIncrement: true
public_id:
type: uuid7
unique: true
customer_email:
type: string
length: 255
status:
type: string
length: 32
default: "draft"
total_amount:
type: integer
currency:
type: string
length: 3
default: "EUR"
created_at:
type: datetime
updated_at:
type: datetime
nullable: true
order_item:
columns:
id:
type: integer
primary: true
autoIncrement: true
order_id:
type: integer
foreignKey:
table: order
column: id
onDelete: cascade
product_name:
type: string
length: 255
sku:
type: string
length: 64
quantity:
type: integer
unit_price:
type: integer
line_total:
type: integer
Why Teams Choose Jardis for CQRS.
Because CQRS does not fail because of understanding. It fails because of inconsistent implementation.
Every operation has exactly one path
Commands write, queries read. No handler that does both. No repository that mixes read and write. The separation is not optional. It is the structure.
CQRS infrastructure from the first builder run
Define the schema, start the builder. CommandDTOs, QueryDTOs, handlers, and response objects are ready instantly. The complete CQRS infrastructure for a new Bounded Context is production-ready. No manual bus configuration, no base class debates.
Commands and queries follow one standard
Whether three or thirty contexts: commands and queries follow the same structure. New team members understand one context and know them all. No special cases, no historically grown deviations.
CQRS as the standard, not as wishful thinking?
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Answers about CQRS with Jardis.
Per Bounded Context, Jardis generates typed CommandDTOs with dedicated CommandHandlers and QueryDTOs with QueryHandlers and response objects in PHP. Commands and queries live in separate namespaces. The repository pipeline physically separates read and write paths, so queries can only reach read repositories.