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Database

The ChurchApps API uses a database-per-module architecture. Each of the six data modules has its own MySQL database with an independent connection pool, providing clear data boundaries while keeping everything within a single deployment.

Before You Begin

Architecture Overview​

Api
├── membership_db   ← People, groups, permissions
├── attendance_db   ← Services, sessions, records
├── content_db      ← Pages, sections, elements
├── giving_db       ← Donations, funds, payments
├── messaging_db    ← Conversations, notifications
└── doing_db        ← Tasks, plans, assignments

Key Design Decisions​

  • One database per module -- Each module maintains its own MySQL database with a dedicated connection pool (managed by KyselyPool). This keeps modules decoupled and allows independent schema evolution.
  • Exclusive ownership -- A module's tables are read and written only by that module's own code. When another module needs the data, it calls the owning module's gateway rather than querying the tables itself -- see Cross-Module Communication.
  • Repository pattern without an ORM -- All data access goes through repository classes that build typed SQL with the Kysely query builder against the module's schema. This gives full control over query performance and behavior.
  • Multi-tenant by design -- Every query is scoped by churchId. All tables include a churchId column, and the repository layer enforces tenant isolation automatically.

Connection Strings​

Each module's database connection is configured in .env using standard MySQL connection string format:

mysql://user:password@host:port/database

For example, a local development setup might look like:

Each module reads its connection from an environment variable named <MODULE>_CONNECTION_STRING:

MEMBERSHIP_CONNECTION_STRING=mysql://root:password@localhost:3306/churchapps_membership
ATTENDANCE_CONNECTION_STRING=mysql://root:password@localhost:3306/churchapps_attendance
CONTENT_CONNECTION_STRING=mysql://root:password@localhost:3306/churchapps_content
GIVING_CONNECTION_STRING=mysql://root:password@localhost:3306/churchapps_giving
MESSAGING_CONNECTION_STRING=mysql://root:password@localhost:3306/churchapps_messaging
DOING_CONNECTION_STRING=mysql://root:password@localhost:3306/churchapps_doing
інформація

In production, connection strings are stored in AWS SSM Parameter Store and read by the Environment class at startup.

Schema Scripts​

Table schemas are defined as Kysely migrations in the tools/migrations/ directory, organized by module:

tools/migrations/
├── membership/
├── attendance/
├── content/
├── giving/
├── messaging/
└── doing/

Migrations define table creation, indexes, and schema changes. The tools/dbScripts/ directory holds demo and seed data that can be loaded on top of the schema.

Database Initialization​

Initialize all databases​

npm run initdb

This creates all six databases and runs the migrations for each one.

Initialize a single module​

npm run initdb -- --module=membership
поради

When working on a specific module, you can re-initialize just that module's database without affecting the others.

Data Access Pattern​

Repositories build queries with the Kysely query builder against the module's typed database schema, obtained through the module's getDb() function. A typical repository method looks like this:

public async loadAll(churchId: string) {
  return getDb().selectFrom("people").selectAll()
    .where("churchId", "=", churchId)
    .execute();
}

Repositories are obtained via RepoManager:

const repos = await RepoManager.getRepos<Repos>("membership");
const people = await repos.person.loadAll(churchId);
попередження

Always include churchId in your queries to maintain multi-tenant isolation. Never query across tenants unless you have a specific, authorized reason to do so.

Cross-Module References​

Because each module's data lives in a separate database, there are no foreign keys or SQL joins across module boundaries. A record that relates to another module's data stores that record's id -- for example, a donation in the giving database carries the personId of a person in the membership database -- and any cross-module composition happens in application code.

This constraint is what makes the module boundaries real: each schema can evolve independently, a module's database can be moved to its own server, and a module could even be extracted into a standalone service without untangling shared tables or cross-database queries.