use criterion::{criterion_group, criterion_main, Criterion}; use nu_plugin::{EncodingType, PluginResponse}; use nu_protocol::{Span, Value}; // generate a new table data with `row_cnt` rows, `col_cnt` columns. fn new_test_data(row_cnt: usize, col_cnt: usize) -> Value { let columns: Vec = (0..col_cnt).map(|x| format!("col_{x}")).collect(); let vals: Vec = (0..col_cnt as i64).map(|i| Value::test_int(i)).collect(); Value::List { vals: (0..row_cnt) .map(|_| Value::test_record(columns.clone(), vals.clone())) .collect(), span: Span::test_data(), } } fn bench_encoding(c: &mut Criterion) { let mut group = c.benchmark_group("Encoding"); let test_cnt_pairs = [ (100, 5), (100, 10), (100, 15), (1000, 5), (1000, 10), (1000, 15), (10000, 5), (10000, 10), (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 = PluginResponse::Value(Box::new(new_test_data(row_cnt, col_cnt))); let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap(); b.iter(|| encoder.encode_response(&test_data, &mut res)) }); } } group.finish(); } fn bench_decoding(c: &mut Criterion) { let mut group = c.benchmark_group("Decoding"); let test_cnt_pairs = [ (100, 5), (100, 10), (100, 15), (1000, 5), (1000, 10), (1000, 15), (10000, 5), (10000, 10), (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 = PluginResponse::Value(Box::new(new_test_data(row_cnt, col_cnt))); let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap(); encoder.encode_response(&test_data, &mut res).unwrap(); let mut binary_data = std::io::Cursor::new(res); b.iter(|| { binary_data.set_position(0); encoder.decode_response(&mut binary_data) }) }); } } group.finish(); } criterion_group!(benches, bench_encoding, bench_decoding); criterion_main!(benches);