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benchmarks.rs
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benchmarks.rs
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use criterion::{criterion_group, criterion_main, BatchSize, Criterion};
use nu_cli::eval_source;
use nu_parser::parse;
use nu_plugin::{Encoder, EncodingType, PluginCallResponse, PluginOutput};
use nu_protocol::{
engine::EngineState, eval_const::create_nu_constant, PipelineData, Span, Value, NU_VARIABLE_ID,
};
use nu_utils::{get_default_config, get_default_env};
use std::path::{Path, PathBuf};
fn load_bench_commands() -> EngineState {
nu_command::add_shell_command_context(nu_cmd_lang::create_default_context())
}
fn canonicalize_path(engine_state: &EngineState, path: &Path) -> PathBuf {
let cwd = engine_state.current_work_dir();
if path.exists() {
match nu_path::canonicalize_with(path, cwd) {
Ok(canon_path) => canon_path,
Err(_) => path.to_owned(),
}
} else {
path.to_owned()
}
}
fn get_home_path(engine_state: &EngineState) -> PathBuf {
nu_path::home_dir()
.map(|path| canonicalize_path(engine_state, &path))
.unwrap_or_default()
}
// FIXME: All benchmarks live in this 1 file to speed up build times when benchmarking.
// When the *_benchmarks functions were in different files, `cargo bench` would build
// an executable for every single one - incredibly slowly. Would be nice to figure out
// a way to split things up again.
fn parser_benchmarks(c: &mut Criterion) {
let mut engine_state = load_bench_commands();
let home_path = get_home_path(&engine_state);
// parsing config.nu breaks without PWD set, so set a valid path
engine_state.add_env_var(
"PWD".into(),
Value::string(home_path.to_string_lossy(), Span::test_data()),
);
let default_env = get_default_env().as_bytes();
c.bench_function("parse_default_env_file", |b| {
b.iter_batched(
|| nu_protocol::engine::StateWorkingSet::new(&engine_state),
|mut working_set| parse(&mut working_set, None, default_env, false),
BatchSize::SmallInput,
)
});
let default_config = get_default_config().as_bytes();
c.bench_function("parse_default_config_file", |b| {
b.iter_batched(
|| nu_protocol::engine::StateWorkingSet::new(&engine_state),
|mut working_set| parse(&mut working_set, None, default_config, false),
BatchSize::SmallInput,
)
});
}
fn eval_benchmarks(c: &mut Criterion) {
let mut engine_state = load_bench_commands();
let home_path = get_home_path(&engine_state);
// parsing config.nu breaks without PWD set, so set a valid path
engine_state.add_env_var(
"PWD".into(),
Value::string(home_path.to_string_lossy(), Span::test_data()),
);
let nu_const = create_nu_constant(&engine_state, Span::unknown())
.expect("Failed to create nushell constant.");
engine_state.set_variable_const_val(NU_VARIABLE_ID, nu_const);
c.bench_function("eval default_env.nu", |b| {
b.iter(|| {
let mut stack = nu_protocol::engine::Stack::new();
eval_source(
&mut engine_state,
&mut stack,
get_default_env().as_bytes(),
"default_env.nu",
PipelineData::empty(),
false,
)
})
});
c.bench_function("eval default_config.nu", |b| {
b.iter(|| {
let mut stack = nu_protocol::engine::Stack::new();
eval_source(
&mut engine_state,
&mut stack,
get_default_config().as_bytes(),
"default_config.nu",
PipelineData::empty(),
false,
)
})
});
}
// generate a new table data with `row_cnt` rows, `col_cnt` columns.
fn encoding_test_data(row_cnt: usize, col_cnt: usize) -> Value {
let record = Value::test_record(
(0..col_cnt)
.map(|x| (format!("col_{x}"), Value::test_int(x as i64)))
.collect(),
);
Value::list(vec![record; row_cnt], Span::test_data())
}
fn encoding_benchmarks(c: &mut Criterion) {
let mut group = c.benchmark_group("Encoding");
let test_cnt_pairs = [(100, 5), (10000, 15)];
for (row_cnt, col_cnt) in test_cnt_pairs.into_iter() {
for fmt in ["json", "msgpack"] {
group.bench_function(&format!("{fmt} encode {row_cnt} * {col_cnt}"), |b| {
let mut res = vec![];
let test_data = PluginOutput::CallResponse(
0,
PluginCallResponse::value(encoding_test_data(row_cnt, col_cnt)),
);
let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap();
b.iter(|| encoder.encode(&test_data, &mut res))
});
}
}
group.finish();
}
fn decoding_benchmarks(c: &mut Criterion) {
let mut group = c.benchmark_group("Decoding");
let test_cnt_pairs = [(100, 5), (10000, 15)];
for (row_cnt, col_cnt) in test_cnt_pairs.into_iter() {
for fmt in ["json", "msgpack"] {
group.bench_function(&format!("{fmt} decode for {row_cnt} * {col_cnt}"), |b| {
let mut res = vec![];
let test_data = PluginOutput::CallResponse(
0,
PluginCallResponse::value(encoding_test_data(row_cnt, col_cnt)),
);
let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap();
encoder.encode(&test_data, &mut res).unwrap();
let mut binary_data = std::io::Cursor::new(res);
b.iter(|| -> Result<Option<PluginOutput>, _> {
binary_data.set_position(0);
encoder.decode(&mut binary_data)
})
});
}
}
group.finish();
}
criterion_group!(
benches,
parser_benchmarks,
eval_benchmarks,
encoding_benchmarks,
decoding_benchmarks
);
criterion_main!(benches);