CQRS is an architectural pattern that separates commands (which mutate state) from queries (which return values). With CQRS the “read” data store and the “write” data store can be on different severs, can use different storage engines, and can be scaled independently. CQRS is often linked with the Event Sourcing pattern which models state as a series of events (past tense verbs) rather than a single “latest” value. What works for an accountant’s ledger and for Git can work for our “write” store too. Given a series of events we can deal with concurrency and collisions more intelligently than “last guy wins”. We can also define varied service level agreements for commands and queries.

• Greg Young's "CQRS, Task Based UIs, Event Sourcing agh!"
• Ben Smith's "Building a CQRS/ES web application in Elixir using Phoenix" (blog)
• Bryan Hunter's "CQRS with Erlang" (code) (video)
• "A Case Study of the Variability Consequences of the CQRS Pattern in Online Business Software" This whitepaper is the source of the excellent diagram below:

• We are modeling a simple bank that has checking account customers.
• We need to define a task-based UI to capture user intent and issue commands.
• The data for our UIs will come from queries to read-side projections.
• Command handlers will receive a command and call the corresponding function on an aggregate.
• Aggregates are loaded and saved via a repository.
• The aggregate will contain the business logic to determine if a command will be processed or rejected.
• If a command is accepted an event will be emitted and applied (state change) to the aggregate.
• One or more event handlers will respond to an event and update read-side projections.
• The task-based UI will reload to show changes to the projections.

Bonus: Event sourcing In typical CRUD application only the latest state of an aggregate is stored. With event sourcing, we store each individual event that was applied to the aggregate. With event sourcing load an aggregate by playing back the events that were previously applied to the aggregate.

• create_bank_account(accountId:int, accountHolder:string, pin:int) -> ack
• deposit_money_into_bank_account(accountId:int, amount:int) -> ack
• withdraw_money_from_bank_account(accountId:int, amount:int, pin:int) -> ack

• check_balance(accountId:int) -> int
• get_account_list() -> list<{accountId:int, accountHolder:string}>
• get_total_deposits() -> int

• bank_account_created{accountId:int, accountHolder:string}
• money_deposited_into_bank_account{accountId:int, amount:int}
• money_withdrawn_from_bank_account{accountId:int, amount:int}
• invalid_pin{accountId:int, amount_requested:int}
• account_overdrawn{accountId:int, balance:int, amount_requested:int}

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