Crate surrealdb

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Expand description

This library provides a low-level database library implementation, a remote client and a query language definition, for SurrealDB, the ultimate cloud database for tomorrow’s applications. SurrealDB is a scalable, distributed, collaborative, document-graph database for the realtime web.

This library can be used to start an embedded in-memory datastore, an embedded datastore persisted to disk, a browser-based embedded datastore backed by IndexedDB, or for connecting to a distributed TiKV key-value store.

It also enables simple and advanced querying of a remote SurrealDB server from server-side or client-side code. All connections to SurrealDB are made over WebSockets by default, and automatically reconnect when the connection is terminated.

Examples

use serde::{Serialize, Deserialize};
use serde_json::json;
use std::borrow::Cow;
use surrealdb::{Result, Surreal};
use surrealdb::sql;
use surrealdb::opt::auth::Root;
use surrealdb::engine::remote::ws::Ws;

#[derive(Serialize, Deserialize)]
struct Name {
    first: Cow<'static, str>,
    last: Cow<'static, str>,
}

#[derive(Serialize, Deserialize)]
struct Person {
    title: Cow<'static, str>,
    name: Name,
    marketing: bool,
}

#[tokio::main]
async fn main() -> Result<()> {
    let db = Surreal::new::<Ws>("localhost:8000").await?;

    // Signin as a namespace, database, or root user
    db.signin(Root {
        username: "root",
        password: "root",
    }).await?;

    // Select a specific namespace / database
    db.use_ns("namespace").use_db("database").await?;

    // Create a new person with a random ID
    let created: Vec<Person> = db.create("person")
        .content(Person {
            title: "Founder & CEO".into(),
            name: Name {
                first: "Tobie".into(),
                last: "Morgan Hitchcock".into(),
            },
            marketing: true,
        })
        .await?;

    // Create a new person with a specific ID
    let created: Option<Person> = db.create(("person", "jaime"))
        .content(Person {
            title: "Founder & COO".into(),
            name: Name {
                first: "Jaime".into(),
                last: "Morgan Hitchcock".into(),
            },
            marketing: false,
        })
        .await?;

    // Update a person record with a specific ID
    let updated: Option<Person> = db.update(("person", "jaime"))
        .merge(json!({"marketing": true}))
        .await?;

    // Select all people records
    let people: Vec<Person> = db.select("person").await?;

    // Perform a custom advanced query
    let sql = r#"
        SELECT marketing, count()
        FROM type::table($table)
        GROUP BY marketing
    "#;

    let groups = db.query(sql)
        .bind(("table", "person"))
        .await?;

    Ok(())
}

Modules

  • Different embedded and remote database engines
  • Different error types for embedded and remote databases
  • Methods to use when interacting with a SurrealDB instance
  • The different options and types for use in API functions
  • The full type definitions for the SurrealQL query language

Structs

  • The future returned when creating a new SurrealDB instance
  • The response type of a Surreal::query request
  • A database client instance for embedded or remote databases

Enums

  • An error originating from the SurrealDB client library

Traits

  • Connection trait implemented by supported engines

Type Aliases

  • A specialized Result type