@ricofritzsche/eventstore
v1.0.10
Published
A TypeScript event sourcing library with Postgres persistence, real-time subscriptions, and projection support for building responsive event-sourced applications
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EventStore
A comprehensive TypeScript implementation of event sourcing with real-time event subscriptions and projections. This system provides persistent event storage with automatic notification to subscribers for building responsive, event-sourced applications.
This package is a collaboration between Ralf Westphal and Rico Fritzsche.
Installation
npm install @ricofritzsche/eventstoreNPM Package: https://www.npmjs.com/package/@ricofritzsche/eventstore
Additional Store Docs
- Supabase support: SupabaseEventStore guide
High-Level Architecture
The system is built around a core EventStore with pluggable notification system.
EventStore - The Source of Truth
- Persistent Storage: Events are immutably stored in PostgreSQL
- Query Engine: Fast retrieval with filtering and payload-based queries
- Optimistic Locking: Ensures consistency without traditional database locks
- Auto-Notification: Automatically notifies subscribers when events are appended
- Pluggable Notifiers: Configurable notification systems (memory, database, etc.)
Event Notifiers - Real-time Processing
- Subscription Management: Multiple subscribers can listen to the same events
- Concurrent Processing: Events are processed by all subscribers simultaneously
- Error Isolation: If one subscriber fails, others continue processing
- Lifecycle Management: Clean subscription setup and teardown
Core Modules
EventStore Module (src/eventstore/)
Purpose: Persistent event storage with real-time notifications
Key Components:
types.ts- Core interfaces (Event, EventStore, EventQuery, EventStreamNotifier)stores/postgres/- PostgreSQL implementation of EventStore with subscription supportstores/memory/- In-memory implementation of EventStore with subscription supportstores/supabase/- Supabase implementation for browser/SPA and tenant-scoped usagenotifiers/memory/- In-memory notification system (default)filter/- Event filters and queries
Responsibilities:
- Store events immutably in storage medium, e.g. PostgreSQL database or in-memory
- Query events with complex filtering using EventQuery
- Provide atomic consistency through optimistic locking (with CTE-based approach (Postgres))
- Notify subscribers immediately when events are appended
- Manage subscription lifecycle
Examples (src/examples/banking/)
Purpose: Feature-sliced banking application demonstrating real-world usage
Key Components:
features/- Individual feature slices with projectionscli.ts- Interactive command-line interface- Feature Structure:
core.ts- Pure business logicshell.ts- EventStore integrationtypes.ts- Domain types and interfacesprojector.ts- Database projection logiclistener.ts- Event subscription handlers
Banking Features:
- Account Management: Open accounts, deposits, withdrawals, transfers
- Account Projections: Real-time account balance updates
- Analytics Projections: Monthly account opening statistics
- Rebuild Functionality: Projection recovery from event history
Event Flow Diagram
┌────────────────────────────────────────────────────────────────────────────────┐
│ Event Flow │
├────────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ append() ┌─────────────┐ notify() ┌─────────────┐ │
│ │ Command │ ─────────▶ │ EventStore │ ───────────▶ │ Event │ │
│ │ Handler │ │ │ │ Notifier │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │ │
│ ▼ ▼ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ PostgreSQL │ │ Events │ │ Multiple │ │
│ │ Database │ │ Saved │ │ Subscribers │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────┐ │
│ ┌─────────────┐ │ Concurrent │ │
│ │ Queries │ ◀───────────────────────────────────────│ Processing │ │
│ │ │ │ │ │
│ └─────────────┘ └─────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────┐ │
│ │ Projections │ │
│ │ Updated │ │
│ └─────────────┘ │
│ │
│ Real-time, concurrent event processing │
└────────────────────────────────────────────────────────────────────────────────┘Subscription System
The subscription system enables real-time, concurrent processing:
┌────────────────────────────────────────────────────────────────────────────────┐
│ Subscription Architecture │
├────────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ │
│ │ EventStore │ │
│ │ │ │
│ │ ┌─────────┐ │ │
│ │ │New Event│ │ │
│ │ │Appended │ │ │
│ │ └─────────┘ │ │
│ └──────┬──────┘ │
│ │ │
│ ▼ │
│ ┌─────────────┐ │
│ │Event │ │
│ │Notifier │ │
│ │(Memory) │ │
│ └──────┬──────┘ │
│ │ │
│ ┌────────────────┼────────────────┐ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Projection │ │ Analytics │ │ Business │ │
│ │ Subscriber │ │ Subscriber │ │ Logic │ │
│ │ │ │ │ │ Subscriber │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Read Model │ │ Metrics & │ │ Notifications│ │
│ │ Database │ │ Reports │ │ & Workflows │ │
│ │ │ │ │ │ │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
│ Concurrent, independent processing of the same events │
└────────────────────────────────────────────────────────────────────────────────┘Quick Start
1. Setup
# Install the package
npm install @ricofritzsche/eventstore
# Start Postgres
docker run --name eventstore-postgres -e POSTGRES_PASSWORD=postgres -e POSTGRES_DB=bank -p 5432:5432 -d postgres:15
# Set connection string
export DATABASE_URL="postgres://postgres:postgres@localhost:5432/bank"2. EventQuery
import { PostgresEventStore, MemoryEventStore, createQuery, createFilter } from '@ricofritzsche/eventstore';
// Postgres
const eventStore = new PostgresEventStore( {connectionstring: "..."} );
await eventStore.initializeDatabase();
// In-memory
// const eventStore = new MemoryEventStore();
// Create events
const events = [
{ eventType: 'UserRegistered', payload: { userId: '123', email: '[email protected]' } },
{ eventType: 'UserEmailVerified', payload: { userId: '123', verifiedAt: new Date() } }
];
// Subscribe before appending to catch real-time events
const subscription = await eventStore.subscribe(async (events) => {
console.log(`Received ${events.length} new events`);
// Process events immediately as they're appended
});
// Append events - subscribers will be notified automatically
await eventStore.append(events);
// Query historical events using EventQuery (supports complex OR conditions)
const userFilter = createFilter(['UserRegistered', 'UserEmailVerified'], [{ userId: '123' }]);
const adminFilter = createFilter(['AdminAction'], [{ action: 'user_management' }]);
const query = createQuery(userFilter, adminFilter); // OR between filters
const result = await eventStore.query(query);
console.log(`Found ${result.events.length} historical events`);
// Example: Query with payload conditions
const specificUserQuery = createQuery(
createFilter(['UserRegistered'], [{ email: '[email protected]' }]),
createFilter(['UserEmailVerified'], [{ userId: '123' }])
);
const specificResult = await eventStore.query(specificUserQuery);
// Example: Query only events after a known sequence number (incremental loading)
const incrementalQuery = createQuery(
{ minSequenceNumber: 42 }, // only events with sequenceNumber > 42
createFilter(['UserRegistered', 'UserEmailVerified'])
);
const incrementalResult = await eventStore.query(incrementalQuery);
// incrementalResult.maxSequenceNumber can be stored and used as minSequenceNumber next time3. Atomic Consistency with Optimistic Locking
The EventStore provides atomic consistency through optimistic locking using Common Table Expressions (CTEs (Postgres)). This approach ensures that concurrent operations only conflict when they actually depend on the same event context, rather than using traditional aggregate-level locking.
// Atomic append with consistency check
const accountEvents = [
{ eventType: 'MoneyDeposited', payload: { accountId: 'acc-123', amount: 100 } }
];
// Create a query for the specific context we want to protect
const accountQuery = createQuery(
createFilter(['BankAccountOpened', 'MoneyDeposited', 'MoneyWithdrawn'],
[{ accountId: 'acc-123' }])
);
// Get current state to determine expected sequence number
const currentState = await eventStore.query(accountQuery);
const expectedMaxSeq = currentState.maxSequenceNumber;
try {
// Atomic append using EventQuery - only succeeds if no conflicting events were added
await eventStore.append(accountEvents, accountQuery, expectedMaxSeq);
console.log('Deposit successful');
// Alternative: Using EventFilter for backward compatibility
const accountFilter = createFilter(['BankAccountOpened', 'MoneyDeposited', 'MoneyWithdrawn'],
[{ accountId: 'acc-123' }]);
await eventStore.append(accountEvents, accountFilter, expectedMaxSeq);
} catch (error) {
if (error.message.includes('optimistic locking')) {
// Retry the operation with updated state
console.log('Concurrent modification detected, retrying...');
}
}How CTE-based Consistency Works (Postgres):
- Context-Specific Protection: Only events matching the query filter are considered for consistency
- Atomic Check-and-Insert: Uses SQL CTE to check max sequence number and insert events in one transaction
- Reduced Conflicts: Commands only conflict when they actually affect the same business context
- High Concurrency: Multiple commands can run simultaneously if they don't share context
The underlying SQL implementation:
WITH context AS (
SELECT MAX(sequence_number) AS max_seq
FROM events
WHERE [filter conditions]
)
INSERT INTO events (event_type, payload, sequence_number)
SELECT event_type, payload, (max_seq + row_number())
FROM context, unnest($1) AS new_events
WHERE COALESCE(max_seq, 0) = $24. Event Subscription
import { PostgresEventStore, createQuery, createFilter } from '@ricofritzsche/eventstore';
// Create EventStore with default MemoryEventStreamNotifier
const eventStore = new PostgresEventStore({connectionstring: "..."});
await eventStore.initializeDatabase();
// Subscribe to events for real-time processing
const subscription = await eventStore.subscribe(async (events) => {
for (const event of events) {
console.log('Processing event:', event.eventType);
// Update projections, analytics, send notifications, etc.
switch (event.eventType) {
case 'BankAccountOpened':
await updateAccountProjection(event);
await updateAnalytics(event);
break;
case 'MoneyDeposited':
await updateAccountBalance(event);
break;
}
}
});5. Pluggable Notifiers
Replace the notification system with your own:
import { EventStreamNotifier, PostgresEventStore } from '@ricofritzsche/eventstore';
class DatabaseEventStreamNotifier implements EventStreamNotifier {
// Custom implementation using database triggers, message queues, etc.
}
const eventStore = new PostgresEventStore({
notifier: new DatabaseEventStreamNotifier()
});API Reference
PostgresEventStore
The main event store implementation with PostgreSQL persistence.
class PostgresEventStore {
constructor(options?: PostgresEventStoreOptions)
// Initialize database schema
async initializeDatabase(): Promise<void>
// Query events with filtering using EventQuery or EventFilter
async query(eventQuery: EventQuery): Promise<QueryResult>
async query(eventFilter: EventFilter): Promise<QueryResult>
// Append events with multiple overloads for flexibility
async append(events: Event[]): Promise<void>
async append(events: Event[], filterCriteria: EventQuery, expectedMaxSequenceNumber: number): Promise<void>
async append(events: Event[], filterCriteria: EventFilter, expectedMaxSequenceNumber: number): Promise<void>
// Subscribe to new events
async subscribe(handle: HandleEvents): Promise<EventSubscription>
// Clean up resources
async close(): Promise<void>
}Query and Filter Functions
// Create event filters (AND within filter, OR between payload predicates)
createFilter(eventTypes: string[], payloadPredicates?: Record<string, unknown>[]): EventFilter
// Create event queries (OR between filters)
createQuery(...filters: EventFilter[]): EventQueryAppend Method Overloads
// Simple append without consistency checks
await eventStore.append(events);
// Append with EventQuery and optimistic locking
await eventStore.append(events, eventQuery, expectedMaxSequenceNumber);
// Append with EventFilter and optimistic locking (backward compatible)
await eventStore.append(events, eventFilter, expectedMaxSequenceNumber);EventQuery Structure
interface EventFilter {
readonly eventTypes: string[]; // OR condition
readonly payloadPredicates?: Record<string, unknown>[]; // OR condition
}
interface EventQuery {
readonly filters: EventFilter[]; // OR condition between filters
}Query Logic:
- Within an
EventFilter: event types are OR'ed AND payload predicates are OR'ed - Within an
EventQuery: filters are OR'ed - This provides flexible querying:
((eventType1 OR eventType2) AND (payload1 OR payload2)) OR (eventType3 AND payload3)
MemoryEventStore
The in-memory event store behaves just like the Postgres event store - except all events are just kept in memory.
const es = new MemoryEventStore()
...The in-memory event store is a great tool for quick spikes and especially testing: inject the MemoryEventStore into SUTs during tests, inject the PostgresEventStore for production. The MemoryEventStore can easily be populated with events for testing before calling the SUT.
Persistence
For small, local applications/proof-of-concepts/spikes it's handy to work with the MemoryEventStore and also be able to persist its events. That can be done at any time like this:
es.storeToFile("events.json");Events are written to a file in a JSON data structure.
To instantiate a MemoryEventStore from persisted events, call the factory method:
const es1 = MemoryEventStore.createFromFile("events.json");
const es2 = MemoryEventStore.createFromFile("events.json", true); // to ignoer a missing fileThe MemoryEventStore can also be run in write-through mode, meaning that no explicit calls to persistence methods are needed. Rather the event store persists all changes automatically. That's quite slow, of course, but it's convenient and sufficient for small scenarios.
const es1 = new MemoryEventStore("events.json") // when creating the event store with a file it's set to write-thru mode
const es2 = MemoryEventStore.createFromFile("events.json", true, true) // the same happens when passing true as the last parameter to the factory methodBackward Compatibility
The EventStore maintains full backward compatibility with existing code using EventFilter:
// Legacy approach (still supported)
const filter = createFilter(['UserRegistered'], [{ userId: '123' }]);
const result = await eventStore.query(filter);
// With optimistic locking using EventFilter
const currentState = await eventStore.query(filter);
await eventStore.append(newEvents, filter, currentState.maxSequenceNumber);
// New approach with EventQuery
const query = createQuery(
createFilter(['UserRegistered'], [{ userId: '123' }]),
createFilter(['UserUpdated'], [{ userId: '123' }])
);
const result2 = await eventStore.query(query);
// EventFilter is automatically converted to EventQuery internally
// Both approaches provide the same functionality and performanceLicense
MIT License - see LICENSE file for details
