153 lines
4.3 KiB
Rust
153 lines
4.3 KiB
Rust
#[macro_use]
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extern crate criterion;
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extern crate bincode;
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extern crate serde;
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extern crate serde_derive;
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extern crate tempfile;
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use async_compression::Level;
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use chgk_ledb_lib::async_db::{Reader, Writer, WriterOpts};
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use chgk_ledb_lib::questions::{Question, QuestionsConverterAsyncForStream};
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use chgk_ledb_lib::source::ReadSourceQuestionsBatchesAsync;
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use futures::pin_mut;
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use futures::StreamExt;
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use std::time::Duration;
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use std::{ops::Deref, path::Path};
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use async_zip::tokio::read::seek::ZipFileReader;
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use criterion::{BatchSize, Criterion};
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use lazy_static::lazy_static;
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use tempfile::{tempdir, NamedTempFile};
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use tokio::{fs, runtime};
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const ZIP_FILENAME: &str = "../json.zip";
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const NEW_DB_FILENAME: &str = "../db.dat";
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lazy_static! {
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static ref RUNTIME: tokio::runtime::Runtime =
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runtime::Builder::new_current_thread().build().unwrap();
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}
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const N: usize = 4096;
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async fn read_sample() -> Vec<Question> {
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let mut file = fs::File::open(ZIP_FILENAME).await.expect("open zip");
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let archive = ZipFileReader::with_tokio(&mut file)
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.await
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.expect("open zip file reader");
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let mut source_questions = archive.source_questions();
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let source_questions = source_questions.stream();
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pin_mut!(source_questions);
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source_questions
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.converter()
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.convert()
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.take(N)
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.enumerate()
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.map(|(num, mut question)| {
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question.num = 1 + num as u32;
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question
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})
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.collect()
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.await
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}
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fn read_sample_sync() -> Vec<Question> {
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std::thread::spawn(|| {
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runtime::Builder::new_current_thread()
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.build()
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.unwrap()
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.block_on(read_sample())
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})
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.join()
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.expect("spawn thread")
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}
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async fn prepare_db_writer<P: AsRef<Path>>(path: P) -> Writer<Question> {
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let opts = WriterOpts {
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compress_lvl: Level::Fastest,
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data_buf_size: 100 * 1024 * 1024,
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out_buf_size: 100 * 1024 * 1024,
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current_buf_size: 10240,
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};
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Writer::<Question>::new(path, opts)
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.await
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.expect("new writer")
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}
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fn setup_writer<P: AsRef<Path>>(path: P) -> Writer<Question> {
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let rp = path.as_ref().to_str().unwrap().to_string();
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std::thread::spawn(|| {
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runtime::Builder::new_current_thread()
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.build()
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.unwrap()
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.block_on(prepare_db_writer(rp))
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})
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.join()
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.expect("spawn thread")
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}
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fn setup_reader<P: AsRef<Path>>(path: P) -> Reader<Question> {
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let rp = path.as_ref().to_str().unwrap().to_string();
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std::thread::spawn(|| {
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runtime::Builder::new_current_thread()
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.build()
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.unwrap()
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.block_on(async move { Reader::new(rp).await.expect("new reader") })
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})
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.join()
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.expect("spawn thread")
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}
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fn questions_async_read(c: &mut Criterion) {
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c.bench_function("questions_async_read", |b| {
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b.to_async(RUNTIME.deref()).iter_batched(
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|| setup_reader(NEW_DB_FILENAME),
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|reader| async move {
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reader
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.stream()
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.take(N)
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.for_each(|item| async { drop(item) })
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.await
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},
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BatchSize::SmallInput,
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)
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});
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}
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fn questions_async_write(c: &mut Criterion) {
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let dir = tempdir().expect("tempdir");
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c.bench_function("questions_async_write", |b| {
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b.to_async(RUNTIME.deref()).iter_batched(
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|| {
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let tmpfile = NamedTempFile::new_in(dir.path())
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.expect("new tempfile")
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.into_temp_path();
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let src = read_sample_sync().into_iter();
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let src = futures::stream::iter(src);
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let writer = setup_writer(&tmpfile);
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(src, writer)
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},
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|(mut src, mut writer)| async move {
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writer.load(&mut src).await.unwrap();
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writer.finish().await.unwrap();
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},
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BatchSize::SmallInput,
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)
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});
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}
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fn config() -> Criterion {
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Criterion::default()
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.sample_size(40)
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.warm_up_time(Duration::from_secs(7))
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.measurement_time(Duration::from_secs(20))
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}
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criterion_group! {name=benches; config = config(); targets = questions_async_read, questions_async_write}
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criterion_main!(benches);
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