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  • License MIT

A networked document database with Indonesian Agricultural Query Language (AQL) - Network Edition

Package Exports

  • @wowoengine/sawitdb
  • @wowoengine/sawitdb/src/WowoEngine.js

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Readme

SawitDB

SawitDB Banner

Docs Go Version Changelog

SawitDB is a unique database solution stored in .sawit binary files.

The system features a custom Paged Heap File architecture similar to SQLite, using fixed-size 4KB pages to ensure efficient memory usage. What differentiates SawitDB is its unique Agricultural Query Language (AQL), which replaces standard SQL keywords with Indonesian farming terminology.

Now with Network Edition! Connect via TCP using sawitdb:// protocol similar to MongoDB.

🚨 Emergency: Aceh Flood Relief Please support our brothers and sisters in Aceh.

Kitabisa

Organized by Human Initiative Aceh

Features

  • Paged Architecture: Data is stored in 4096-byte binary pages. The engine does not load the entire database into memory.
  • Single File Storage: All data, schema, and indexes are stored in a single .sawit file.
  • High Stability: Uses 4KB atomic pages. More stable than a coalition government.
  • Data Integrity (Anti-Korupsi): Implements strict fsync protocols. Data cannot be "corrupted" or "disappear" mysteriously like social aid funds (Bansos). No "Sunat Massal" here.
  • Zero Bureaucracy (Zero Deps): Built entirely with standard Node.js. No unnecessary "Vendor Pengadaan" or "Mark-up Anggaran".
  • Transparansi: Query language is clear. No "Pasal Karet" (Ambiguous Laws) or "Rapat Tertutup" in 5-star hotels.
  • Speed: Faster than printing an e-KTP at the Kelurahan.
  • Network Support (NEW): Client-Server architecture with Multi-database support and Authentication.

Filosofi

Filosofi (ID)

SawitDB dibangun dengan semangat "Kemandirian Data". Kami percaya database yang handal tidak butuh Infrastruktur Langit yang harganya triliunan tapi sering down. Berbeda dengan proyek negara yang mahal di budget tapi murah di kualitas, SawitDB menggunakan arsitektur Single File (.sawit) yang hemat biaya. Backup cukup copy-paste, tidak perlu sewa vendor konsultan asing. Fitur fsync kami menjamin data tertulis di disk, karena bagi kami, integritas data adalah harga mati, bukan sekadar bahan konferensi pers untuk minta maaf.

Philosophy (EN)

SawitDB is built with the spirit of "Data Sovereignty". We believe a reliable database doesn't need "Sky Infrastructure" that costs trillions yet goes down often. Unlike state projects that are expensive in budget but cheap in quality, SawitDB uses a cost-effective Single File (.sawit) architecture. Backup is just copy-paste, no need to hire expensive foreign consultants. Our fsync feature guarantees data is written to disk, because for us, data integrity is non-negotiable, not just material for a press conference to apologize.

File List

  • src/WowoEngine.js: Core Database Engine (Class: SawitDB).
  • bin/sawit-server.js: Server executable.
  • cli/local.js: Interactive CLI tool (Local).
  • cli/remote.js: Interactive CLI tool (Network).
  • CHANGELOG.md: Version history and release notes.
  • examples/: Sample scripts.

Installation

Ensure you have Node.js installed. Clone the repository.

# Clone
git clone https://github.com/WowoEngine/SawitDB.git

Quick Start (Network Edition)

1. Start the Server

node src/SawitServer.js

The server will start on 0.0.0.0:7878 by default.

2. Connect with Client

Use SawitClient or any interactive session.


Dual Syntax Support

SawitDB 2.3 introduces the Generic Syntax alongside the classic Agricultural Query Language (AQL), making it easier for developers familiar with standard SQL to adopt.

Operation Agricultural Query Language (AQL) Generic SQL (Standard)
Create DB BUKA WILAYAH sales_db CREATE DATABASE sales_db
Use DB MASUK WILAYAH sales_db USE sales_db
Show DBs LIHAT WILAYAH SHOW DATABASES
Drop DB BAKAR WILAYAH sales_db DROP DATABASE sales_db
Create Table LAHAN products CREATE TABLE products
Insert TANAM KE products (...) BIBIT (...) INSERT INTO products (...) VALUES (...)
Select PANEN * DARI products DIMANA ... SELECT * FROM products WHERE ...
Update PUPUK products DENGAN ... UPDATE products SET ...
Delete GUSUR DARI products DIMANA ... DELETE FROM products WHERE ...
Indexing INDEKS products PADA price CREATE INDEX ON products (price)
Aggregation HITUNG SUM(stock) DARI products Same Syntax

Query Syntax (Detailed)

1. Management Commands

Create Table

-- Tani
LAHAN users
-- Generic
CREATE TABLE users

Show Tables

-- Tani
LIHAT LAHAN
-- Generic
SHOW TABLES

Drop Table

-- Tani
BAKAR LAHAN users
-- Generic
DROP TABLE users

2. Data Manipulation

Insert Data

-- Tani
TANAM KE users (name, role) BIBIT ('Alice', 'Admin')
-- Generic
INSERT INTO users (name, role) VALUES ('Alice', 'Admin')

Select Data

-- Tani
PANEN name, role DARI users DIMANA role = 'Admin' ORDER BY name ASC LIMIT 10
-- Generic
SELECT name, role FROM users WHERE role = 'Admin' ORDER BY name ASC LIMIT 10

Operators: =, !=, >, <, >=, <= Advanced: IN ('a','b'), LIKE 'pat%', BETWEEN 10 AND 20, IS NULL, IS NOT NULL

Pagination & Sorting

SELECT * FROM users ORDER BY age DESC LIMIT 5 OFFSET 10
SELECT * FROM users WHERE age BETWEEN 18 AND 30 AND status IS NOT NULL

Update Data

-- Tani
PUPUK users DENGAN role='SuperAdmin' DIMANA name='Alice'
-- Generic
UPDATE users SET role='SuperAdmin' WHERE name='Alice'

Delete Data

-- Tani
GUSUR DARI users DIMANA name='Bob'
-- Generic
DELETE FROM users WHERE name='Bob'

3. Advanced Features

Indexing

INDEKS [table] PADA [field]
-- or
CREATE INDEX ON [table] ([field])

Aggregation & Grouping

HITUNG COUNT(*) DARI [table]
HITUNG AVG(price) DARI [products] KELOMPOK [category]
-- Generic Keyword Alias
SELECT AVG(price) FROM [products] GROUP BY [category] (Coming Soon)

Architecture Details

  • Modular Codebase: Engine logic separated into src/modules/ (Pager.js, QueryParser.js, BTreeIndex.js) for better maintainability.
  • Page 0 (Master Page): Contains header and Table Directory.
  • Data & Indexes: Stored in 4KB atomic pages.

Benchmark Performance

Test Environment: Single Thread, Windows Node.js (Local NVMe)

Operation Ops/Sec Latency (avg)
INSERT ~3,125 0.32 ms
SELECT (PK Index) ~3,846 0.26 ms
SELECT (Scan) ~4,762 0.21 ms
UPDATE ~3,571 0.28 ms

Note: Hasil dapat bervariasi tergantung hardware.

Full Feature Comparison

Feature Tani Edition (AQL) Generic SQL (Standard) Notes
Create DB BUKA WILAYAH [db] CREATE DATABASE [db] Creates .sawit in data/
Use DB MASUK WILAYAH [db] USE [db] Switch context
Show DBs LIHAT WILAYAH SHOW DATABASES Lists available DBs
Drop DB BAKAR WILAYAH [db] DROP DATABASE [db] Irreversible!
Create Table LAHAN [table] CREATE TABLE [table] Schema-less creation
Show Tables LIHAT LAHAN SHOW TABLES Lists tables in DB
Drop Table BAKAR LAHAN [table] DROP TABLE [table] Deletes table & data
Insert TANAM KE [table] ... BIBIT (...) INSERT INTO [table] (...) VALUES (...) Auto-ID if omitted
Select PANEN ... DARI [table] DIMANA ... SELECT ... FROM [table] WHERE ... Supports Projection
Update PUPUK [table] DENGAN ... DIMANA ... UPDATE [table] SET ... WHERE ... Atomic update
Delete GUSUR DARI [table] DIMANA ... DELETE FROM [table] WHERE ... Row-level deletion
Index INDEKS [table] PADA [field] CREATE INDEX ON [table] (field) B-Tree Indexing
Count HITUNG COUNT(*) DARI [table] SELECT COUNT(*) FROM [table] (via HITUNG) Aggregation
Sum HITUNG SUM(col) DARI [table] SELECT SUM(col) FROM [table] (via HITUNG) Aggregation
Average HITUNG AVG(col) DARI [table] SELECT AVG(col) FROM [table] (via HITUNG) Aggregation

Supported Operators Table

Operator Syntax Example Description
Comparison =, !=, >, <, >=, <= Standard value comparison
Logical AND, OR Combine multiple conditions
In List IN ('coffee', 'tea') Matches any value in the list
Not In NOT IN ('water') Matches values NOT in list
Pattern LIKE 'Jwa%' Standard SQL wildcard matching
Range BETWEEN 1000 AND 5000 Inclusive range check
Null IS NULL Check if field is empty/null
Not Null IS NOT NULL Check if field has value
Limit LIMIT 10 Restrict number of rows
Offset OFFSET 5 Skip first N rows (Pagination)
Order ORDER BY price DESC Sort by field (ASC/DESC)

License

MIT License