Baradb/docs/de/clients.md

Client SDKs

BaraDB bietet offizielle Client-Bibliotheken für JavaScript/TypeScript, Python, Nim und Rust.

JavaScript / TypeScript

Installation

npm install baradb
# oder
yarn add baradb

Grundlegende Verwendung

import { Client } from 'baradb';

const client = new Client('localhost', 9472);
await client.connect();

// Einfache Abfrage
const result = await client.query('SELECT name, age FROM users WHERE age > 18');
console.log(result.rows);

// Parametrisierte Abfrage
const result2 = await client.query(
  'SELECT * FROM users WHERE name = ?',
  ['Alice']
);

// Batch-Einfügung
await client.batch([
  "INSERT users { name := 'Alice', age := 30 }",
  "INSERT users { name := 'Bob', age := 25 }",
]);

// Transaktionen
await client.begin();
await client.query("INSERT orders { total := 100 }");
await client.query("UPDATE users SET balance = balance - 100 WHERE name = 'Alice'");
await client.commit();

await client.close();

Konkurrierende Abfragen

Der JavaScript-Client serialisiert konkurrierende Anfragen über eine einzelne TCP-Verbindung automatisch via interner Request-Queue. Sie können sicher mehrere parallele Operationen starten — ihre Binärframes werden sich nicht auf dem Wire überlappen:

const [users, orders, stats] = await Promise.all([
  client.query('SELECT * FROM users'),
  client.query('SELECT * FROM orders'),
  client.query('SELECT count(*) FROM visits')
]);

WebSocket-Streaming

import { WebSocketClient } from 'baradb/ws';

const ws = new WebSocketClient('ws://localhost:9471');
ws.onMessage = (data) => console.log(data);
await ws.connect();
await ws.send('SUBSCRIBE updates');

Python

Installation

pip install baradb

Grundlegende Verwendung

from baradb import Client

client = Client("localhost", 9472)
client.connect()

# Einfache Abfrage
result = client.query("SELECT name, age FROM users WHERE age > 18")
for row in result:
    print(row["name"], row["age"])

# Parametrisierte Abfrage
result = client.query(
    "SELECT * FROM users WHERE name = ?",
    ["Alice"]
)

# Batch-Operationen
client.batch([
    "INSERT users { name := 'Alice', age := 30 }",
    "INSERT users { name := 'Bob', age := 25 }",
])

# Context Manager (auto-close)
with Client("localhost", 9472) as c:
    result = c.query("SELECT count(*) FROM users")
    print(result[0]["count"])

Async Client

import asyncio
from baradb import AsyncClient

async def main():
    client = AsyncClient("localhost", 9472)
    await client.connect()
    result = await client.query("SELECT * FROM users")
    print(result.rows)
    await client.close()

asyncio.run(main())

Nim (Embedded Mode)

Abhängigkeit hinzufügen

# In Ihrer .nimble Datei
requires "barabadb >= 0.1.0"

Embedded-Verwendung

import barabadb/storage/lsm
import barabadb/storage/btree
import barabadb/vector/engine
import barabadb/graph/engine

# Key-Value Store
var db = newLSMTree("./data")
db.put("user:1", cast[seq[byte]]("Alice"))
let (found, value) = db.get("user:1")
db.close()

# B-Tree Index
var btree = newBTreeIndex[string, int]()
btree.insert("Alice", 30)
let ages = btree.get("Alice")

# Vector Search
var idx = newHNSWIndex(dimensions = 128)
idx.insert(1, @[0.1'f32, 0.2, 0.3], {"category": "A"}.toTable)
let results = idx.search(@[0.1'f32, 0.2, 0.3], k = 10)

# Graph
var g = newGraph()
let alice = g.addNode("Person", {"name": "Alice"}.toTable)
let bob = g.addNode("Person", {"name": "Bob"}.toTable)
discard g.addEdge(alice, bob, "knows")
let path = g.shortestPath(alice, bob)

Client-Bibliothek

import barabadb/client/client

var c = newBaraClient("localhost", 9472)
c.connect()
let result = c.query("SELECT name FROM users")
for row in result.rows:
  echo row["name"]
c.close()

Rust

Abhängigkeit hinzufügen

[dependencies]
baradb = "0.1"
tokio = { version = "1", features = ["full"] }

Grundlegende Verwendung

use baradb::Client;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let mut client = Client::connect("localhost:9472").await?;
    
    let result = client
        .query("SELECT name, age FROM users WHERE age > 18")
        .await?;
    
    for row in result.rows {
        println!("{} is {} years old", row["name"], row["age"]);
    }
    
    client.close().await?;
    Ok(())
}

HTTP/REST (Sprachunabhängig)

Alle Sprachen können die HTTP/REST API direkt verwenden:

# Abfrage
curl -X POST http://localhost:9470/api/query \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"query": "SELECT * FROM users WHERE age > 18"}'

# Einfügen
curl -X POST http://localhost:9470/api/query \
  -H "Content-Type: application/json" \
  -d '{"query": "INSERT users { name := \"Alice\", age := 30 }"}'

# Schema
curl http://localhost:9470/api/schema

# Health
curl http://localhost:9470/health

# Metrics
curl http://localhost:9470/metrics

Connection Pooling

Alle offiziellen Clients unterstützen Connection Pooling:

JavaScript

import { Pool } from 'baradb';

const pool = new Pool({
  host: 'localhost',
  port: 9472,
  min: 5,
  max: 50,
  idleTimeout: 30000,
});

const client = await pool.acquire();
try {
  const result = await client.query('SELECT 1');
} finally {
  pool.release(client);
}

Python

from baradb import Pool

pool = Pool("localhost", 9472, min_size=5, max_size=50)
with pool.connection() as conn:
    result = conn.query("SELECT 1")

Datentyp-Mapping

BaraDB Type	JavaScript	Python	Nim	Rust
null	null	None	nil	Option::None
bool	boolean	bool	bool	bool
int8/16/32/64	number	int	int	i8/i16/i32/i64
float32/64	number	float	float32/float64	f32/f64
str	string	str	string	String
bytes	Uint8Array	bytes	seq[byte]	Vec<u8>
array	Array	list	seq	Vec
object	Object	dict	Table	HashMap
vector	Float32Array	list[float]	seq[float32]	Vec<f32>