Phase 24 · Lesson 09

Repository Integration Tests with PostgreSQL

≈ 2 min core reading · 170 source/companion words
Learning contract

What you should be able to do after this

  • Explain Repository Integration Tests with PostgreSQL without relying on framework buzzwords.
  • Connect the lesson to the phase outcome: Introduce repository boundaries only where they improve persistence isolation, domain language, testing, or future changeability.
  • Reproduce the relevant behavior and verify it with evidence.
  • Diagnose at least one representative failure instead of guessing.
Figure 24.9 — TaskFlow boundary map
service/use case
repository interface
Prisma implementation
database
mapped domain/application result
This lesson belongs to Phase 24. Keep the full request/data path visible even when today's code changes only one box.
Instructor workflow: predict first → implement the smallest slice → run it → inspect evidence → break one assumption → diagnose → explain it back. Do not copy the whole code block before understanding the first failing boundary.

Repository Integration Tests with PostgreSQL Volume 07 - Advanced Application Architecture | Phase 24

Test the real adapter separately The concrete Prisma repository should be tested against a real disposable/resettable PostgreSQL database because its job is to translate the contract into real persistence behavior. Current Prisma guidance explicitly distinguishes unit tests with mocks from integration tests against a real test database.

Integration scope • Apply migrations to a test database.

• Seed the minimum Workspace/User/Membership/Project graph.

• Call PrismaTaskRepository directly.

• Verify scoped reads cannot cross Workspaces.

• Verify pagination count and rows share filters.

• Verify sorting and nullable relations.

• Reset data between tests.

Two boundaries Two different questions require two different test boundaries

Service unit test Repository integration test TasksService -> FakeTaskRepository PrismaTaskRepository -> PostgreSQL No PostgreSQL required Real migrations + queries

Proves business decisions Proves SQL/query mapping

Figure 24.1 - Two boundaries

Why both matter A service unit test can pass while a Prisma where clause is wrong. A repository integration test can pass while business policy is wrong. Keep the questions separate.

Executable lesson studio · sql

Now turn the explanation into engineering skill.

ORMs do not remove the database. SQL literacy lets you reason about correctness, constraints, query cost, transactions, and the evidence stored in PostgreSQL.

By the end, you should be able to

  • Explain Repository Integration Tests with PostgreSQL in terms of concrete inputs, ownership, outputs, and evidence.
  • Implement or reproduce the smallest TaskFlow slice that demonstrates this sql concept.
  • Diagnose one representative sql failure using observable evidence instead of trial-and-error.
Figure 24.9B — Mental model
application intent
SQL statement
query planner
table/index
rows returned
Read left-to-right while implementing. When debugging, walk right-to-left until the first observed fact differs from your prediction.
Code-along sequence

One coherent change at a time

  1. 01

    Restate the goal of “Repository Integration Tests with PostgreSQL” as one observable behavior. Write the success signal before touching code.

  2. 02

    Trace the boundary map: application intent → SQL statement → query planner → table/index → rows returned. Mark the one boundary this lesson changes.

  3. 03

    Inspect the current repository state and record the exact files, route, table, or runtime involved. Avoid creating an abstraction before you can name the existing owner.

  4. 04

    Implement the smallest vertical slice. Add one coherent change, run the narrowest verification command, and read the output before continuing.

  5. 05

    Connect the slice to TaskFlow’s phase artifact: One TaskFlow aggregate/use case refactored behind a purposeful repository interface with real database integration tests.. Verify behavior from the outside as a user or API client would.

  6. 06

    Create one controlled failure that is safe to reproduce. Predict the symptom first, capture evidence, locate the earliest broken boundary, then fix only that cause.

  7. 07

    Close the reference and rebuild or explain the core change from memory. Record what you would monitor or test before trusting the same change in production.

sqlQuery from TaskFlow data directly
SELECT t.id, t.title, u.name AS assignee
FROM tasks AS t
LEFT JOIN users AS u ON u.id = t.assignee_id
WHERE t.workspace_id = $1
ORDER BY t.created_at DESC, t.id DESC;

Do not copy this as a finished answer. Predict what each boundary does, type the smallest useful slice, run it, then compare the result with your prediction.

Verification

Prove the happy path

  1. Run the narrowest relevant command or request and require a clean exit/status.
  2. Inspect the boundary-specific evidence: terminal output, Network panel, database row/query plan, test report, container health, or deployment logs.
  3. Repeat the behavior once after the change so a one-off cached or stale result cannot masquerade as success.
Break it on purpose

Build debugging memory

  1. GenericRepository<T> mirroring ORM methods
  2. Change one assumption in the sql example—identity, input, configuration, ordering, connectivity, or state—and predict the exact symptom before running it.
SymptomInvestigation path
Query is correct but slow

Capture EXPLAIN ANALYZE, row counts, filters, sort keys, and indexes before adding an index.

Unexpected duplicate/missing rows

Inspect join cardinality and constraints; do not hide a modeling bug with DISTINCT until you understand it.

Closed-reference challenge

Can you transfer the idea?

Without copying the final source, create a second small scenario that applies “Repository Integration Tests with PostgreSQL” to a different TaskFlow resource or input. Write the acceptance criteria first, implement it, and provide the evidence that each criterion is satisfied.

Explain-back

Answer these without reopening the solution

  1. What problem does Repository Integration Tests with PostgreSQL solve in TaskFlow, and what would be observably wrong without it?
  2. Which part of the sql boundary owns the decision, and which neighboring layer must not own it?
  3. What evidence proves the happy path instead of merely suggesting it worked?
  4. Name one realistic failure or abuse case and the first place you would inspect.
  5. If requirements doubled tomorrow, which part of this design should stay stable and which part is allowed to change?
Lesson studio

Turn the reading into skill

01

Do it

Move Prisma-specific selection/query details into the implementation.

Use the smallest change that demonstrates this lesson. Stop after it works and capture evidence.
02

Break it safely

GenericRepository<T> mirroring ORM methods

Predict the symptom before causing the failure. Then locate the earliest boundary where reality diverges from expectation.
03

Explain it back

Why does this responsibility live here, what input does it trust, what output proves success, and what would go wrong if another layer owned it?

If your explanation is vague, repeat the boundary trace before moving on.
Exit ticket

Before marking complete

Close the reference. Reproduce the core idea from memory or explain the exact request/data flow aloud. Then check your diff or notes for accidental shortcuts that bypass validation, authorization, error handling, or verification earned in earlier phases.