Merge pull request #2165 from infogulch/bench-csv

Bench csv
This commit is contained in:
Mark Thom
2023-11-14 07:32:07 +01:00
committed by GitHub
6 changed files with 150 additions and 127 deletions

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@@ -18,6 +18,9 @@ Run them using the following commands:
``` ```
cargo bench --bench run_criterion cargo bench --bench run_criterion
# run a particular criterion benchmark
cargo bench --bench run_criterion -- <benchmark_name>
# to run iai, you need valgrind installed and to install iai-callgrind-runner # to run iai, you need valgrind installed and to install iai-callgrind-runner
# at the same version as is in Cargo.toml: # at the same version as is in Cargo.toml:
cargo install iai-callgrind-runner --version 0.7.3 cargo install iai-callgrind-runner --version 0.7.3
@@ -30,14 +33,12 @@ the same setup code from `benches.rs`.
## Setup ## Setup
`setup.rs` contains the setup code for the actual benchmarks, which are run `setup.rs` contains the setup code to run benchmarks. `fn prolog_benches()` at
using the `Benches` struct. `fn benches()` at the top of the file is where the the top of the file is where the benchmarks are defined.
benchmarks are defined.
Benchmarks are organized around running queries against one prolog module file. Benchmarks are organized around running queries against a prolog module file.
Before any runs start, `Benches::new()` reads the module files and initializes a Before a benchmark starts, `benchmark.setup()` is called which reads the module
new `scryer_prolog::machine::Machine` for each file; multiple queries can be file and initializes a new `scryer_prolog::machine::Machine`.
declared to be benchmarked in the context of that module/machine instance.
Each benchmark measurement is done by running a query against the machine. In Each benchmark measurement is done by running a query against the machine. In
the case of criterion each query is run many times, in the case of iai it's run the case of criterion each query is run many times, in the case of iai it's run
@@ -58,17 +59,17 @@ Some tips:
* The goal of benchmarking is to know if a library or engine change improved * The goal of benchmarking is to know if a library or engine change improved
performance or not. performance or not.
* Once a benchmark is defined and named, don't change it's definition. If a * Once a benchmark is defined and named, avoid changing it's definition. In
benchmark needs to change to be more useful, give the new definition a new general, if a benchmark needs to change to be more useful, give the new
name. This will prevent charts from showing wild changes in performance just definition a new name. This will prevent charts from showing wild changes in
because the definition changed (see previous). performance just because the definition changed (see previous).
* Aim for queries to execute in about 0.1-0.5s realtime. Longer runtimes make it * Aim for queries to execute in less than 0.5s realtime. Longer runtimes make it
easier for humans to see big differences, but benchmarks either run 10x slower easier for humans to see big differences, but benchmarks either run 10x slower
(iai) or execute repeatedly to attain statistical significance (criterion) and (iai) or execute repeatedly to attain statistical significance (criterion) and
in both cases queries that take 5+ seconds quickly become unweildly. in both cases queries that take longer become cumbersome to run.
* Consider that the library runtime actually parses the text output of the top * Consider that the library runtime actually parses the text output of the top
level. So keep the output small and don't use custom outputs or it will fail level. So don't use custom outputs or it will fail to parse. Also keep the
to parse. output small so it doesn't just benchmark the ouput parsing code.
* DO test the output of the benchmark run, we don't want to count broken * DO test the output of the benchmark run, we don't want to count broken
benchmarks. benchmarks.
* Because a query may run against the same machine multiple times, don't * Because a query may run against the same machine multiple times, don't
@@ -89,7 +90,5 @@ results.
- [ ] Currently, the execution time to load a module is not benchmarked. It - [ ] Currently, the execution time to load a module is not benchmarked. It
would be nice to have at least one benchmark for loading a module (probably a would be nice to have at least one benchmark for loading a module (probably a
big one). big one).
- [ ] Adjust the benchmark execution strategy to allow queries to modify the
engine state (`assertz` etc).
- [ ] Write a new action that consumes the test and benchmark results and plots - [ ] Write a new action that consumes the test and benchmark results and plots
them over time and publishes a report (github pages?). them over time and publishes a report (github pages?).

41
benches/csv.pl Normal file

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@@ -1,9 +1,16 @@
use criterion::{criterion_group, criterion_main, Criterion}; use criterion::{criterion_group, criterion_main, BatchSize, Criterion};
mod setup; mod setup;
fn bench_criterion(c: &mut Criterion) { fn bench_criterion(c: &mut Criterion) {
setup::benches().run_all_criterion(c); for (&name, bench) in setup::prolog_benches().iter() {
match bench.strategy {
setup::Strategy::Fresh => c.bench_function(name, |b| {
b.iter_batched(|| bench.setup(), |mut r| r(), BatchSize::LargeInput)
}),
setup::Strategy::Reuse => c.bench_function(name, |b| b.iter(bench.setup())),
};
}
} }
criterion_group!( criterion_group!(

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@@ -3,15 +3,15 @@ use iai_callgrind::{library_benchmark, library_benchmark_group, main};
mod setup; mod setup;
#[library_benchmark] #[library_benchmark]
#[bench::normal(setup::benches())] #[bench::normal(setup::prolog_benches()["count_edges_short"].setup())]
fn bench_edges(mut b: setup::Benches) { fn bench_edges(mut run: impl FnMut()) {
b.run_once("count_edges_short"); run();
} }
#[library_benchmark] #[library_benchmark]
#[bench::normal(setup::benches())] #[bench::normal(setup::prolog_benches()["numlist_short"].setup())]
fn bench_numlist(mut b: setup::Benches) { fn bench_numlist(mut run: impl FnMut()) {
b.run_once("numlist_short"); run();
} }
library_benchmark_group!( library_benchmark_group!(

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@@ -1,116 +1,93 @@
use std::{collections::BTreeMap, fs, path::Path}; use std::{collections::BTreeMap, fs, path::Path};
use criterion::{black_box, Criterion};
use maplit::btreemap; use maplit::btreemap;
use scryer_prolog::machine::{ use scryer_prolog::machine::{
parsed_results::{QueryMatch, QueryResolution, Value}, parsed_results::{QueryMatch, QueryResolution, Value},
Machine, Machine,
}; };
pub fn benches() -> Benches { pub fn prolog_benches() -> BTreeMap<&'static str, PrologBenchmark> {
Benches::new(&[ [
( (
"benches/edges.pl", // name of the prolog module file to load "count_edges", // name of the benchmark
&[ "benches/edges.pl", // name of the prolog module file to load
( "independent_set_count(aa, Count).", // query to benchmark in the context of the loaded module
"count_edges_short", // name of the benchmark Strategy::Reuse,
"independent_set_count(ky, Count).", // query to benchmark in the context of the loaded module btreemap! { "Count" => Value::try_from("211954906".to_string()).unwrap(), }, // list of expected bindings
btreemap! { "Count".to_string() => Value::try_from("2869176".to_string()).unwrap() }, // List of expected bindings
),
(
"count_edges", // multiple benchmark queries can be defined per module
"independent_set_count(aa, Count).", // consider making the query adjustable to tune the runtime
btreemap! { "Count".to_string() => Value::try_from("211954906".to_string()).unwrap(), },
),
],
), ),
( (
"count_edges_short",
"benches/edges.pl", // use the same file in multiple benchmarks
"independent_set_count(ky, Count).", // consider making the query adjustable to tune the run time to ~0.1s
Strategy::Reuse,
btreemap! { "Count" => Value::try_from("2869176".to_string()).unwrap() },
),
(
"numlist_short",
"benches/numlist.pl", "benches/numlist.pl",
&[( "run_numlist(1000000, Head).",
"numlist_short", Strategy::Reuse,
"run_numlist(1000000, Head).", btreemap! { "Head" => Value::try_from("1".to_string()).unwrap()},
btreemap! { "Head".to_string() => Value::try_from("1".to_string()).unwrap()},
)],
), ),
]) (
"csv_codename",
"benches/csv.pl",
"get_codename(\"0020\",Name).",
Strategy::Reuse,
btreemap! { "Name" => Value::try_from("SPACE".to_string()).unwrap()},
),
]
.map(|b| {
(
b.0,
PrologBenchmark {
name: b.0,
filename: b.1,
query: b.2,
strategy: b.3,
bindings: b.4,
},
)
})
.into()
} }
pub struct Benches { pub enum Strategy {
machines: Vec<Machine>,
runs: BTreeMap<String, Run>,
}
pub struct Run {
machine_idx: usize,
name: &'static str,
query: &'static str,
bindings: BTreeMap<String, Value>,
}
// Required for using a mutex. It doesn't actually send anything across threads,
// and this is just a benchmark, so it Should Be Fine(tm). ¯\_(ツ)_/¯
unsafe impl Send for Benches {}
impl Benches {
#[allow(clippy::type_complexity)]
pub fn new(
benches: &[(
&'static str,
&[(&'static str, &'static str, BTreeMap<String, Value>)],
)],
) -> Self {
let mut machines = vec![];
let mut runs = BTreeMap::new();
for b in benches {
let content = fs::read_to_string(b.0).unwrap();
let name = Path::new(b.0).file_stem().unwrap().to_str().unwrap();
let mut machine = Machine::new_lib();
machine.load_module_string(name, content);
machines.push(machine);
let idx = machines.len() - 1;
runs.extend(b.1.iter().cloned().map(|r| {
(
r.0.to_string(),
Run {
machine_idx: idx,
name: r.0,
query: r.1,
bindings: r.2,
},
)
}));
}
Benches { machines, runs }
}
#[allow(dead_code)] #[allow(dead_code)]
pub fn run_all_criterion(&mut self, c: &mut Criterion) { Fresh,
for (_, runner) in self.runs.iter() { Reuse,
let machine = &mut self.machines[runner.machine_idx]; }
c.bench_function(runner.name, |b| {
b.iter(|| { pub struct PrologBenchmark {
Self::run(machine, runner); pub name: &'static str,
}) pub filename: &'static str,
}); pub query: &'static str,
pub strategy: Strategy,
pub bindings: BTreeMap<&'static str, Value>,
}
impl PrologBenchmark {
pub fn setup(&self) -> impl FnMut() {
let program = fs::read_to_string(self.filename).unwrap();
let module_name = Path::new(self.filename)
.file_stem()
.and_then(|s| s.to_str())
.unwrap();
let mut machine = Machine::new_lib();
machine.load_module_string(module_name, program);
let benchmark_name = self.name;
let query = self.query;
let expected = QueryResolution::Matches(vec![QueryMatch::from(self.bindings.clone())]);
move || {
use criterion::black_box;
let result = black_box(machine.run_query(black_box(query.to_string())));
match result {
Ok(r) => assert_eq!(&r, &expected),
Err(e) => panic!("benchmark {} failed with: {}", benchmark_name, e),
}
} }
} }
#[allow(dead_code)]
pub fn run_once(&mut self, name: &str) {
let runner = &self.runs[name];
let machine = &mut self.machines[runner.machine_idx];
Self::run(machine, runner);
}
fn run(machine: &mut Machine, runner: &Run) {
assert_eq!(
black_box(machine.run_query(black_box(runner.query.to_string()))),
Ok(QueryResolution::Matches(vec![QueryMatch::from(
runner.bindings.clone()
)]))
);
}
} }

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@@ -296,11 +296,10 @@ impl DebrayAllocator {
self.mark_var_in_non_callable(var_num, term_loc, vr, code); self.mark_var_in_non_callable(var_num, term_loc, vr, code);
temp_v!(arg) temp_v!(arg)
} else { } else {
match &self.var_data.records[var_num].allocation { if let VarAlloc::Perm(_, PermVarAllocation::Pending) =
VarAlloc::Perm(_, PermVarAllocation::Pending) => { &self.var_data.records[var_num].allocation
self.mark_var_in_non_callable(var_num, term_loc, vr, code); {
} self.mark_var_in_non_callable(var_num, term_loc, vr, code);
_ => {}
} }
self.increment_running_count(var_num); self.increment_running_count(var_num);