use eyros::{DB,Tree3,Coord,Scalar,Setup,Row,Error}; use random::{Source,default as rand}; use tempfile::Builder as Tmpfile; use std::time; use std::cmp::Ordering; use async_std::prelude::*; type P = (Coord,Coord,Coord); type V = u32; #[async_std::test] async fn single_4k_batch_xxyyz_9_bf_10_data_16_base() -> Result<(),Error> { from_params(4000, 9, 10).await } #[async_std::test] async fn single_4k_batch_xxyyz_5_bf_10_data_16_base() -> Result<(),Error> { from_params(4000, 5, 10).await } #[async_std::test] async fn single_4k_batch_xxyyz_17_bf_10_data_16_base() -> Result<(),Error> { from_params(4000, 17, 10).await } #[async_std::test] async fn single_32k_batch_xxyyz_9_bf_400_data_1k_base() -> Result<(),Error> { from_params(32_000, 9, 400).await } #[async_std::test] async fn single_64k_batch_xxyyz_9_bf_1k_data_16k_base() -> Result<(),Error> { from_params(64_000, 9, 1_000).await } #[async_std::test] async fn single_200k_batch_xxyyz_9_bf_400_data_1k_base() -> Result<(),Error> { from_params(200_000, 9, 400).await } async fn from_params (size: usize, bf: usize, max_records: usize) -> Result<(),Error> { let dir = Tmpfile::new().prefix("eyros").tempdir()?; let mut db: DB<_,Tree3,P,V> = Setup::from_path(dir.path()) .branch_factor(bf) .max_records(max_records) .build() .await?; let mut r = rand().seed([13,12]); let inserts: Vec> = (0..size).map(|_| { let xmin: f32 = r.read::()*2.0-1.0; let xmax: f32 = xmin + r.read::().powf(64.0)*(1.0-xmin); let ymin: f32 = r.read::()*2.0-1.0; let ymax: f32 = ymin + r.read::().powf(64.0)*(1.0-ymin); let time: f32 = r.read::()*1000.0; let value: u32 = r.read(); let point = ( Coord::Interval(xmin,xmax), Coord::Interval(ymin,ymax), Coord::Scalar(time) ); Row::Insert(point, value) }).collect(); { let start = time::Instant::now(); db.batch(&inserts).await?; eprintln!["batch write for {} records in {} seconds", size, start.elapsed().as_secs_f64()]; } { let bbox = ((-1.0,-1.0,0.0),(1.0,1.0,1000.0)); let mut results = vec![]; let start = time::Instant::now(); let mut stream = db.query(&bbox).await?; while let Some(result) = stream.next().await { let r = result?; results.push((r.0,r.1)); } eprintln!["batch query for {} records in {} seconds", results.len(), start.elapsed().as_secs_f64()]; assert_eq!(results.len(), size, "incorrect length for full region"); let mut expected: Vec<(P,V)> = inserts.iter().map(|r| { match r { Row::Insert(point,value) => (point.clone(),value.clone()), _ => panic!["unexpected row type"] } }).collect(); results.sort_unstable_by(cmp); expected.sort_unstable_by(cmp); assert_eq!(results, expected, "incorrect results for full region"); } { let bbox = ((-0.8,0.1,0.0),(0.2,0.5,500.0)); let mut results = vec![]; let start = time::Instant::now(); let mut stream = db.query(&bbox).await?; while let Some(result) = stream.next().await { let r = result?; results.push((r.0,r.1)); } eprintln!["batch query for {} records in {} seconds", results.len(), start.elapsed().as_secs_f64()]; let mut expected: Vec<(P,V)> = inserts.iter() .map(|r| { match r { Row::Insert(point,value) => (point.clone(),value.clone()), _ => panic!["unexpected row type"] } }) .filter(|r| { contains(&(bbox.0).0,&(bbox.1).0,&(r.0).0) && contains(&(bbox.0).1,&(bbox.1).1,&(r.0).1) && contains(&(bbox.0).2,&(bbox.1).2,&(r.0).2) }) .collect(); results.sort_unstable_by(cmp); expected.sort_unstable_by(cmp); assert_eq!(results.len(), expected.len(), "incorrect length for partial region"); assert_eq!(results, expected, "incorrect results for partial region"); } Ok(()) } fn cmp (a: &T, b: &T) -> Ordering where T: PartialOrd { match a.partial_cmp(b) { Some(o) => o, None => panic!["comparison failed"] } } fn contains (min: &T, max: &T, c: &Coord) -> bool where T: Scalar { match c { Coord::Interval(x0,x1) => min <= x1 && x0 <= max, Coord::Scalar(x) => min <= x && x <= max } }