A file-based & memory-efficient, serverless, ACID compliant, relational database management system 🔥
- Lightweight 🪶
- Minimalist ⚪ (but powerful)
- 100% TypeScript 🔷
- Super-Fast ⚡ (built-in caching system)
- ATOMIC 🔒 File lock for writing
- Built-in form validation (+unique values 🆕 ) 😎
- Suitable for large data 📃 (tested with 4M records)
- Support Compression ✳️ (using built-in nodejs zlib)
- Support Table Joins 🔗
- Low memory-usage 📉 (3-5mb)
- Safe 🔒 (no sql or javascript injections)
- Easy to use 🍞
- ... and much more 🚀
import Inibase from "inibase";
const db = new Inibase("databaseName");
// Get all items from "user" table
const users = await db.get("user");
// Read page 2 content
const users = await db.get("user", undefined, { page: 2, per_page: 15 });
// Get only required columns to improve speed
const users = await db.get("user", undefined, {
columns: ["username", "address.street", "hobbies.name"],
});
// Get items from "user" table where "favoriteFoods" does not includes "Pizza" or "Burger"
const users = await db.get("user", { favoriteFoods: "![]Pizza,Burger" });
Note
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<npm|pnpm|yarn|bun> install inibase
Warning
If you're using Windows, the following Unix commands are required: zcat
, sed
, gzip
, and echo
.
To use the missing commands, you need to install additional tools:
- GnuWin32: Provides individual GNU utilities for Windows.
- Cygwin: Offers a full Unix-like environment for Windows.
Alternatively, consider using the Windows Subsystem for Linux (WSL) to run a Linux environment on Windows. Learn more here.
Inibase
organizes data into databases, tables, and columns, each stored in separate files.
- POST: New data is appended to column files efficiently.
- GET: Data retrieval is optimized by reading files line-by-line.
- PUT: Updates are streamlined, with only the relevant file being modified.
- DELETE: Removes lines from column files for swift deletion.
This structure ensures efficient storage, retrieval, and updates, making our system scalable and high-performing for diverse datasets and applications.
npx inibase -p <databaseFolderPath>
# by default it will diplay a list of available commands (or type 'help')
Tables
Config
interface { compression: boolean; cache: boolean; prepend: boolean; }Schema
interface { id: number; // stored as a Number but displayed as a hashed ID key: string; required?: boolean; unique?: boolean; type: "string" | "number" | "boolean" | "date" | "email" | "url" | "password" | "html" | "ip" | "json" | "id"; } interface Table { id: number; key: string; required?: boolean; type: "table"; table: string; } interface Array { id: number; key: string; required?: boolean; type: "array"; children: string|string[]; } interface ObjectOrArrayOfObjects { id: number; key: string; required?: boolean; type: "object" | "array"; children: Schema; }Create Table
import Inibase from "inibase"; const db = new Inibase("/databaseName"); const userTableConfig = { compression: true, cache: true, prepend: false } const userTableSchema = [ { key: "username", type: "string", required: true, }, { key: "email", type: "string", required: true, }, { key: "age", type: "number", required: true, }, { key: "isActive", type: "boolean", // required: false }, { key: "hobbies", type: "array", children: [ { key: "name", type: "string", // required: false }, { key: "level", type: "string", // required: false }, ], }, { key: "favoriteFoods", type: "array", children: "string", // required: false }, { key: "address", type: "object", children: [ { key: "street", type: "string", // required: false }, { key: "city", type: "string", // required: false }, { key: "country", type: "string", // required: false }, ], }, ]; await db.createTable("user", userTableSchema, userTableConfig);Update Table
Change Name
import Inibase from "inibase"; const db = new Inibase("/databaseName"); // this will change table name also in joined tables await db.updateTable("user", undefined, {name: "userV2"});Update field
import Inibase from "inibase"; import { setField } from "inibase/utils"; const db = new Inibase("/databaseName"); const userTableSchema = (await db.getTable("user")).schema; setField("username", userTableSchema, {key: "fullName"}); await db.updateTable("user", newUserTableSchema);Remove field
import Inibase from "inibase"; import { unsetField } from "inibase/utils"; const db = new Inibase("/databaseName"); const userTableSchema = (await db.getTable("user")).schema; unsetField("fullName", userTableSchema); await db.updateTable("user", newUserTableSchema);Join Tables
import Inibase from "inibase"; const db = new Inibase("/databaseName"); const productTableSchema = [ { key: "title", type: "string", required: true, }, { key: "price", type: "number", }, { key: "createdBy", type: "table", table: "user", required: true, }, ]; await db.createTable("product", productTableSchema); const productTableData = [ { title: "Product 1", price: 16, createdBy: "1d88385d4b1581f8fb059334dec30f4c", }, { title: "Product 2", price: 10, createdBy: "5011c230aa44481bf7e8dcfe0710474f", }, ]; const product = await db.post("product", productTableData); // [ // { // "id": "1d88385d4b1581f8fb059334dec30f4c", // "title": "Product 1", // "price": 16, // "createdBy": { // "id": "1d88385d4b1581f8fb059334dec30f4c", // "username": "user1", // "email": "[email protected]", // ... // } // }, // { // "id": "5011c230aa44481bf7e8dcfe0710474f", // "title": "Product 2", // "price": 10, // "createdBy": { // "id": "5011c230aa44481bf7e8dcfe0710474f", // "username": "user2", // ... // } // } // ]
Methods
POST
import Inibase from "inibase"; const db = new Inibase("/databaseName"); const userTableData = [ { username: "user1", email: "[email protected]", age: 25, isActive: true, hobbies: [ { name: "Reading", level: "Intermediate" }, { name: "Cooking", level: "Beginner" }, ], favoriteFoods: ["Pizza", "Sushi", "Chocolate"], address: { street: "123 Main St", city: "Exampleville", country: "Sampleland", }, }, { username: "user2", email: "[email protected]", age: 30, isActive: false, hobbies: [ { name: "Gardening", level: "Advanced" }, { name: "Photography", level: "Intermediate" }, ], favoriteFoods: ["Burgers", null, "Salad"], address: { street: "456 Elm Rd", city: "Testington", country: "Demo Country", }, }, ]; const users = await db.post("user", userTableData); // [ // { // "id": "1d88385d4b1581f8fb059334dec30f4c", // "username": "user1", // "email": "[email protected]", // "age": 25, // "isActive": true, // "hobbies": { // "name": [ // "Reading", // "Cooking" // ], // "level": [ // "Intermediate", // "Beginner" // ] // }, // "favoriteFoods": [ // "Pizza", // "Sushi", // "Chocolate" // ], // "address": { // "street": "123 Main St", // "city": "Exampleville", // "country": "Sampleland" // } // }, // { // "id": "5011c230aa44481bf7e8dcfe0710474f", // "username": "user2", // ... // }, // ... // ]GET
GET by ID
import Inibase from "inibase"; const db = new Inibase("/databaseName"); const user = await db.get("user", "1d88385d4b1581f8fb059334dec30f4c"); // { // "id": "1d88385d4b1581f8fb059334dec30f4c", // "username": "user1", // "email": "[email protected]", // "age": 25, // "isActive": true, // "hobbies": { // "name": [ // "Reading", // "Cooking" // ], // "level": [ // "Intermediate", // "Beginner" // ] // }, // "favoriteFoods": [ // "Pizza", // "Sushi", // "Chocolate" // ], // "address": { // "street": "123 Main St", // "city": "Exampleville", // "country": "Sampleland" // } // }GET by criteria
import Inibase from "inibase"; const db = new Inibase("/databaseName"); const users = await db.get("user", { favoriteFoods: "[]Pizza" }); // [ // { // "id": "1d88385d4b1581f8fb059334dec30f4c", // "username": "user1", // "email": "[email protected]", // "age": 25, // "isActive": true, // "hobbies": { // "name": [ // "Reading", // "Cooking" // ], // "level": [ // "Intermediate", // "Beginner" // ] // }, // "favoriteFoods": [ // "Pizza", // "Sushi", // "Chocolate" // ], // "address": { // "street": "123 Main St", // "city": "Exampleville", // "country": "Sampleland" // } // }, // ... // ]GET with columns
import Inibase from "inibase"; const db = new Inibase("/databaseName"); // Get all "user" columns except "username" & "address.street" const users = await db.get("user", undefined, { columns: ["!username", "!address.street"], });PUT
import Inibase from "inibase"; const db = new Inibase("/databaseName"); // set "isActive" to "false" for all items in table "user" await db.put("user", { isActive: false }); // set "isActive" to "true" for specific "user" by id await db.put("user", { isActive: false }, "1d88385d4b1581f8fb059334dec30f4c"); // set "isActive" to "true" in table "user" by criteria (where "isActive" is equal to "true") await db.put("user", { isActive: false }, { isActive: true });DELETE
import Inibase from "inibase"; const db = new Inibase("/databaseName"); // delete all items in "user" table await db.delete("user"); // delete a specific "user" by id await db.put("user", "1d88385d4b1581f8fb059334dec30f4c"); // delete "user" by criteria (where "isActive" is equal to "false") await db.put("user", { isActive: false });SUM
import Inibase from "inibase"; const db = new Inibase("/databaseName"); // get the sum of column "age" in "user" table await db.sum("user", "age"); // get the sum of column "age" by criteria (where "isActive" is equal to "false") in "user" table await db.sum("user", ["age", ...], { isActive: false });MAX
import Inibase from "inibase"; const db = new Inibase("/databaseName"); // get the biggest number of column "age" in "user" table await db.max("user", "age"); // get the biggest number of column "age" by criteria (where "isActive" is equal to "false") in "user" table await db.max("user", ["age", ...], { isActive: false });MIN
import Inibase from "inibase"; const db = new Inibase("/databaseName"); // get the smallest number of column "age" in "user" table await db.min("user", "age"); // get the smallest number of column "age" by criteria (where "isActive" is equal to "false") in "user" table await db.min("user", ["age", ...], { isActive: false });SORT
import Inibase from "inibase"; const db = new Inibase("/databaseName"); // order users by the age column await db.get("user", undefined, { sort: "age" }); // order users by the age and username columns await db.get("user", undefined, { sort: ["age", "username"] }); await db.get("user", undefined, { sort: {age: -1, username: "asc"} });
10 | 100 | 1000 | |
---|---|---|---|
POST | 11 ms (0.66 mb) | 5 ms (1.02 mb) | 24 ms (1.44 mb) |
GET | 29 ms (2.86 mb) | 24 ms (2.81 mb) | 36 ms (0.89 mb) |
PUT | 21 ms (2.68 mb) | 16 ms (2.90 mb) | 12 ms (0.63 mb) |
DELETE | 14 ms (0.82 mb) | 13 ms (0.84 mb) | 2 ms (0.17 mb) |
10 | 100 | 1000 | |
---|---|---|---|
POST | 45 ms (1.07 mb) | 12 ms (0.52 mb) | 11 ms (0.37 mb) |
GET | 200 ms (2.15 mb) | 192 ms (2.72 mb) | 190 ms (2.31 mb) |
PUT | 49 ms (3.22 mb) | 17 ms (2.98 mb) | 17 ms (3.06 mb) |
DELETE | 118 ms (0.59 mb) | 113 ms (0.51 mb) | 103 ms (3.14 mb) |
Default testing uses a table with username, email, and password fields, ensuring password encryption is included in the process
To run benchmarks, install typescript & tsx globally and runbenchmark
by default bulk, for single usebenchmark --single|-s
- Actions:
- GET:
- Pagination
- Criteria
- Columns
- Sort
- POST
- PUT
- DELETE
- SUM
- MAX
- MIN
- GET:
- Schema supported types:
- String
- Number
- Boolean
- Date
- Url
- Table
- Object
- Array
- Password
- IP
- HTML
- Id
- JSON
- TO-DO:
- Use new Map() instead of Object
- Ability to search in JSON fields
- Re-check used exec functions
- Use smart caching (based on N° of queries)
- Commenting the code
- Add Backup feature (generate a tar.gz)
- Add Custom field validation property to schema (using RegEx?)
- Features:
- Encryption
- Data Compression
- Caching System
- Suggest new feature +