AppFlowy-Cloud/crates/revdb/src/db.rs

66 lines
1.8 KiB
Rust

use crate::error::RevDBError;
use sled::Db;
use std::path::Path;
pub struct RevDB {
pub(crate) db: Db,
}
impl RevDB {
pub fn open(path: impl AsRef<Path>) -> Result<Self, RevDBError> {
let db = sled::open(path)?;
Ok(Self { db })
}
pub fn insert(&self, uid: i64, rev_id: i64, data: &[u8]) -> Result<(), RevDBError> {
let key = make_seq_key(uid, rev_id);
let _ = self.db.insert(key, data)?;
Ok(())
}
pub fn get(&self, uid: i64, rev_id: i64) -> Result<Option<Vec<u8>>, RevDBError> {
let key = make_seq_key(uid, rev_id);
let value = self.db.get(key)?;
Ok(value.map(|value| value.to_vec()))
}
}
// Optimize your data layout: Sled's B-Tree implementation works best when the keys are sequential,
// so try to organize the data in a way that maximizes sequential access.
fn make_seq_key(uid: i64, rev_id: i64) -> [u8; 16] {
let mut key = [0; 16];
key[0..8].copy_from_slice(&uid.to_be_bytes());
key[8..16].copy_from_slice(&rev_id.to_be_bytes());
key
}
#[cfg(test)]
mod tests {
use crate::db::RevDB;
use std::path::Path;
use std::time::Instant;
#[test]
fn insert_speed() {
let path = Path::new(".");
let db = RevDB::open(path).unwrap();
let start_time = Instant::now();
for i in 0..=100000 {
db.insert(1, i, b"hello world").unwrap();
}
for i in 0..=100000 {
db.get(1, i).unwrap();
}
let end_time = Instant::now();
let elapsed_time = end_time - start_time;
// Print the elapsed time in seconds and milliseconds
println!(
"Elapsed time: {}s, {}ms",
elapsed_time.as_secs(),
elapsed_time.subsec_millis()
);
}
}