use lora_database::{Database, ExecuteOptions, InMemoryGraph, ResultFormat};
fn rss_kb() -> u64 {
let pid = std::process::id();
let out = std::process::Command::new("ps")
.args(["-o", "rss=", "-p", &pid.to_string()])
.output()
.unwrap();
String::from_utf8_lossy(&out.stdout)
.trim()
.parse()
.unwrap_or(0)
}
fn opts() -> Option<ExecuteOptions> {
Some(ExecuteOptions {
format: ResultFormat::Rows,
})
}
fn snapshot(label: &str, svc: &Database<InMemoryGraph>) {
let summary = svc.with_store(|g| g.memory_estimate().summary());
println!("[{label}] rss_kb={} {summary}", rss_kb());
}
fn main() {
let n: usize = std::env::args()
.nth(1)
.and_then(|s| s.parse().ok())
.unwrap_or(1000);
let pattern: String = std::env::args().nth(2).unwrap_or_else(|| "original".into());
println!("n={} pattern={}", n, pattern);
let svc = Database::in_memory();
snapshot("start", &svc);
svc.execute(
&format!("UNWIND range(0, {}) AS i CREATE (:Chain {{idx: i}})", n - 1),
opts(),
)
.unwrap();
snapshot("after nodes", &svc);
let q: String = match pattern.as_str() {
"original" => format!("UNWIND range(0, {}) AS i MATCH (a:Chain {{idx: i}}), (b:Chain {{idx: i+1}}) CREATE (a)-[:NEXT]->(b)", n-2),
"collect" => "MATCH (a:Chain) WITH a ORDER BY a.idx WITH collect(a) AS nodes UNWIND range(0, size(nodes)-2) AS i WITH nodes[i] AS a, nodes[i+1] AS b CREATE (a)-[:NEXT]->(b)".into(),
"small_batch" => {
let batch = 100;
let mut i = 0;
while i < n - 1 {
let end = (i + batch).min(n - 1);
svc.execute(&format!("UNWIND range({i}, {}) AS i MATCH (a:Chain {{idx: i}}), (b:Chain {{idx: i+1}}) CREATE (a)-[:NEXT]->(b)", end-1), opts()).unwrap();
i = end;
}
snapshot("after edges (small_batch=100)", &svc);
return;
}
_ => panic!()
};
svc.execute(&q, opts()).unwrap();
snapshot(&format!("after edges ({pattern})"), &svc);
let r = svc
.execute("MATCH ()-[r:NEXT]->() RETURN count(r) AS c", opts())
.unwrap();
println!("edges: {:?}", r);
}