forked from extern/nushell
771270d526
This PR sets up [Criterion](https://github.com/bheisler/criterion.rs) for benchmarking in the main `nu` crate, and adds some simple parser benchmarks. To run the benchmarks, just do `cargo bench` or `cargo bench -- <regex matching benchmark names>` in the repo root: ```bash 〉cargo bench -- parse ... Running benches/parser_benchmark.rs (target/release/deps/parser_benchmark-75d224bac82d5b0b) parse_default_env_file time: [221.17 µs 222.34 µs 223.61 µs] Found 8 outliers among 100 measurements (8.00%) 5 (5.00%) high mild 3 (3.00%) high severe parse_default_config_file time: [1.4935 ms 1.4993 ms 1.5059 ms] Found 11 outliers among 100 measurements (11.00%) 7 (7.00%) high mild 4 (4.00%) high severe ``` Existing benchmarks from `nu-plugin` have been moved into the main `nu` crate to keep all our benchmarks in one place.
77 lines
2.5 KiB
Rust
77 lines
2.5 KiB
Rust
use criterion::{criterion_group, criterion_main, Criterion};
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use nu_plugin::{EncodingType, PluginResponse};
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use nu_protocol::{Span, Value};
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// generate a new table data with `row_cnt` rows, `col_cnt` columns.
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fn new_test_data(row_cnt: usize, col_cnt: usize) -> Value {
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let columns: Vec<String> = (0..col_cnt).map(|x| format!("col_{x}")).collect();
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let vals: Vec<Value> = (0..col_cnt as i64).map(Value::test_int).collect();
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Value::List {
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vals: (0..row_cnt)
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.map(|_| Value::test_record(columns.clone(), vals.clone()))
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.collect(),
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span: Span::test_data(),
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}
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}
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fn bench_encoding(c: &mut Criterion) {
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let mut group = c.benchmark_group("Encoding");
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let test_cnt_pairs = [
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(100, 5),
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(100, 10),
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(100, 15),
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(1000, 5),
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(1000, 10),
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(1000, 15),
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(10000, 5),
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(10000, 10),
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(10000, 15),
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];
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for (row_cnt, col_cnt) in test_cnt_pairs.into_iter() {
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for fmt in ["json", "msgpack"] {
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group.bench_function(&format!("{fmt} encode {row_cnt} * {col_cnt}"), |b| {
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let mut res = vec![];
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let test_data = PluginResponse::Value(Box::new(new_test_data(row_cnt, col_cnt)));
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let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap();
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b.iter(|| encoder.encode_response(&test_data, &mut res))
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});
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}
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}
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group.finish();
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}
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fn bench_decoding(c: &mut Criterion) {
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let mut group = c.benchmark_group("Decoding");
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let test_cnt_pairs = [
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(100, 5),
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(100, 10),
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(100, 15),
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(1000, 5),
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(1000, 10),
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(1000, 15),
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(10000, 5),
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(10000, 10),
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(10000, 15),
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];
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for (row_cnt, col_cnt) in test_cnt_pairs.into_iter() {
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for fmt in ["json", "msgpack"] {
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group.bench_function(&format!("{fmt} decode for {row_cnt} * {col_cnt}"), |b| {
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let mut res = vec![];
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let test_data = PluginResponse::Value(Box::new(new_test_data(row_cnt, col_cnt)));
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let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap();
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encoder.encode_response(&test_data, &mut res).unwrap();
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let mut binary_data = std::io::Cursor::new(res);
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b.iter(|| {
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binary_data.set_position(0);
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encoder.decode_response(&mut binary_data)
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})
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});
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}
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}
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group.finish();
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}
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criterion_group!(benches, bench_encoding, bench_decoding);
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criterion_main!(benches);
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