tuple-database

import { TupleDatabaseClient, TupleDatabase, InMemoryTupleStorage, transactionalReadWrite } from "tuple-database"; // 1. Define your schema using TypeScript types. type User = { id: string; first_name: string; last_name: string; age: number; }; type UserIndex = { key: ["user", { id: string }], value: User; }; type AgeIndex = { key: ["userByAge", { age: number }, { id: string }], value: null; }; type Schema = UserIndex | AgeIndex; // 2. Construct your database with an in-memory storage. const db = new TupleDatabaseClient<Schema>(new TupleDatabase(new InMemoryTupleStorage())); // 3. Define a transactional write query. const insertUser = transactionalReadWrite<Schema>()((tx, user: User) => { const { id, first_name, last_name, age } = user; tx.set(["user", { id }], user); tx.set(["userByAge", { age }, { id }], null); }); // 4. Insert some data. insertUser(db, { id: "1", first_name: "Chet", last_name: "Corcos", age: 31 }); insertUser(db, { id: "2", first_name: "Tanishq", last_name: "Kancharla", age: 22 }); console.log("Users inserted."); // 5. Define a read query to get users by age. function getUsersByAge(dbClient: TupleDatabaseClient<Schema>, minAge: number) { return dbClient.scan({ prefix: ["userByAge", { age: minAge }], gte: ["userByAge", { age: minAge }] }); } // 6. Execute a read query and log results. const usersOver30 = getUsersByAge(db, 30); console.log("Users with age >= 30:", usersOver30.map(entry => entry.key[2].id)); // For React integration: // import { useTupleDatabase } from 'tuple-database/useTupleDatabase'; // function App({db}: {db: TupleDatabaseClient<Schema>}) { // const oldestUser = useTupleDatabase(db, () => { // const [oldestEntry] = db.scan({prefix: ["userByAge"], reverse: true, limit: 1}); // return oldestEntry ? db.get(["user", {id: oldestEntry.key[2].id}]) : null; // }, []); // return <div>The oldest user is age: {oldestUser?.age}</div>; // }