An append-only in-memory database in Rust for rows queried using bit (flag) columns. This database is designed for a very specific use case where you have mostly static data that you typically load at startup and have to query constantly using very simple filters. Datasets like these can...
LoggingRustIrDatabaseLoggingOnDrop<'a>:是一个包装器结构体,用于在Rust IR(Intermediate Representation)数据库的生命周期末尾记录详细的跟踪日志。Rust IR是一个用于对Rust程序进行静态分析和代码生成的中间表示。 LoggingRustIrDatabase<Interner>:是一个包装器结构体,用于记录Rust IR数据库的跟踪日志。它的泛型参数I...
unwrap(); models.define::<data::v2::Person>().unwrap(); models }); fn main() -> Result<(), db_type::Error> { // 创建数据库 let db = Builder::new().create_in_memory(&MODELS)?; // 在事务中迁移数据 let rw = db.rw_transaction()?; rw.migrate::<data::Person>()?; rw.co...
GitHub:andrewhalle/byo-sql: An in-memory SQL database in Rust. bustd:轻量进程杀手守护进程 相比earlyoom 有更少的内存占用(注意是 Linux 系统的,不是跨平台的噢): $ps -F -C bustd UID PID PPID C SZ RSS PSR STIME TTY TIME CMD vrmiguel 353609 187407 5 151 8 2 01:20 pts/2 00:00:00...
; Ok(()) }上面的例子中使用create_in_memory创建的数据可存在数据持久化问题，当然你也可...
Distributed SQL database in Rust, built from scratch as an educational project. Main features: Raft distributed consensus enginefor linearizable state machine replication. ACID transaction enginewith MVCC-based snapshot isolation. Pluggable storage enginewithBitCaskandin-memorybackends. ...
MemoryKindShim枚举类型用于表示Mir执行器中的内存类型(memory kind)。它将Rust中的内存类型进行桥接,并提供了一些用于处理内存的方法。 通过这些结构体和枚举类型的定义,shim.rs文件提供了一种桥接机制,使得Mir执行器能够与Rust的原生操作进行交互,从而实现Rust代码的执行和评估。
Learn to connect and query data in Azure Database for PostgreSQL Single Server using Rust code samples.
CozoDB - A transactional, relational database that uses Datalog and focuses on graph data and algorithms. Time-travel-capable, and fast! darkbird [darkbird] - HighConcurrency, RealTime, InMemory storage inspired by erlang mnesia Databend - A Modern Real-Time Data Processing & Analytics DBMS...
let db = txn.bind(&db_handle); // get a database bound to this transaction let pairs = vec![("Albert", "Einstein",), ("Joe", "Smith",), ("Jack", "Daniels")]; for &(name, surname) in pairs.iter() { db.set(&surname, &name).unwrap(); ...