add questions benches

app/Cargo.toml

@@ -13,6 +13,10 @@ description = "Утилита загружающая базу данных ЧГ
 name = "db_bench"
 harness = false
 
+[[bench]]
+name = "questions_bench"
+harness = false
+
 [dependencies]
 chgk_ledb_lib = {path = "../lib", features = ["sync", "source", "convert"]}
 serde_json="1.0"

app/benches/questions_bench.rs

@@ -0,0 +1,101 @@
+#[macro_use]
+extern crate criterion;
+extern crate bincode;
+extern crate serde;
+extern crate serde_derive;
+extern crate serde_json;
+extern crate tempfile;
+
+use chgk_ledb_lib::db::{Reader, Writer, WriterOpts};
+use chgk_ledb_lib::questions::{Question, QuestionsConverter};
+use chgk_ledb_lib::source::ReadSourceQuestionsBatches;
+
+use std::path::Path;
+use std::time::Duration;
+use std::{fs, io};
+
+use criterion::{BatchSize, Criterion};
+use tempfile::{tempdir, NamedTempFile};
+
+const ZIP_FILENAME: &str = "../json.zip";
+const NEW_DB_FILENAME: &str = "../db.dat";
+
+const N: usize = 4096;
+
+fn read_sample() -> Vec<Question> {
+    let zip_file = fs::File::open(ZIP_FILENAME).unwrap();
+    let zip_reader = io::BufReader::new(zip_file);
+    let archive = zip::ZipArchive::new(zip_reader).unwrap();
+    let mut source_questions = archive.source_questions();
+
+    source_questions
+        .convert()
+        .take(N)
+        .enumerate()
+        .map(|(num, mut question)| {
+            question.num = 1 + num as u32;
+            question
+        })
+        .collect()
+}
+
+fn prepare_db_writer<P: AsRef<Path>>(path: P) -> Writer<Question> {
+    let opts = WriterOpts {
+        compress_lvl: 1,
+        data_buf_size: 100 * 1024 * 1024,
+        out_buf_size: 100 * 1024 * 1024,
+        current_buf_size: 10240,
+    };
+
+    Writer::new(path, opts).expect("new writer")
+}
+
+fn questions_read(c: &mut Criterion) {
+    c.bench_function("questions_read", |b| {
+        b.iter_batched(
+            || {
+                let reader: Reader<Question> =
+                    Reader::new(NEW_DB_FILENAME, 4096).expect("new reader");
+                reader.into_iter().take(N)
+            },
+            |reader| {
+                for item in reader {
+                    drop(item);
+                }
+            },
+            BatchSize::SmallInput,
+        )
+    });
+}
+
+fn questions_write(c: &mut Criterion) {
+    let dir = tempdir().expect("tempdir");
+
+    c.bench_function("questions_write", |b| {
+        b.iter_batched(
+            || {
+                let tmpfile = NamedTempFile::new_in(dir.path())
+                    .expect("new tempfile")
+                    .into_temp_path();
+                let src = read_sample().into_iter();
+                let writer = prepare_db_writer(&tmpfile);
+                (src, writer)
+            },
+            |(mut src, mut writer)| {
+                writer.load(&mut src).unwrap();
+                writer.finish().unwrap();
+            },
+            BatchSize::SmallInput,
+        )
+    });
+}
+
+fn config() -> Criterion {
+    Criterion::default()
+        .sample_size(40)
+        .warm_up_time(Duration::from_secs(7))
+        .measurement_time(Duration::from_secs(20))
+}
+
+criterion_group! {name=benches; config = config(); targets = questions_read, questions_write}
+criterion_main!(benches);

app_async/Cargo.toml

@@ -13,6 +13,10 @@ description = "Утилита загружающая базу данных ЧГ
 name = "async_bench"
 harness = false
 
+[[bench]]
+name = "questions_async_bench"
+harness = false
+
 [dependencies]
 chgk_ledb_lib = {path = "../lib", features = ["async", "convert_async"]}
 serde_json="1.0"

app_async/benches/questions_async_bench.rs

@@ -0,0 +1,152 @@
+#[macro_use]
+extern crate criterion;
+extern crate bincode;
+extern crate serde;
+extern crate serde_derive;
+extern crate tempfile;
+
+use async_compression::Level;
+use chgk_ledb_lib::async_db::{Reader, Writer, WriterOpts};
+use chgk_ledb_lib::questions::{Question, QuestionsConverterAsyncForStream};
+use chgk_ledb_lib::source::ReadSourceQuestionsBatchesAsync;
+use futures::pin_mut;
+use futures::StreamExt;
+use std::time::Duration;
+use std::{ops::Deref, path::Path};
+
+use async_zip::tokio::read::seek::ZipFileReader;
+
+use criterion::{BatchSize, Criterion};
+use lazy_static::lazy_static;
+use tempfile::{tempdir, NamedTempFile};
+use tokio::{fs, runtime};
+
+const ZIP_FILENAME: &str = "../json.zip";
+const NEW_DB_FILENAME: &str = "../db.dat";
+
+lazy_static! {
+    static ref RUNTIME: tokio::runtime::Runtime =
+        runtime::Builder::new_current_thread().build().unwrap();
+}
+
+const N: usize = 4096;
+
+async fn read_sample() -> Vec<Question> {
+    let mut file = fs::File::open(ZIP_FILENAME).await.expect("open zip");
+    let archive = ZipFileReader::with_tokio(&mut file)
+        .await
+        .expect("open zip file reader");
+    let mut source_questions = archive.source_questions();
+    let source_questions = source_questions.stream();
+    pin_mut!(source_questions);
+
+    source_questions
+        .converter()
+        .convert()
+        .take(N)
+        .enumerate()
+        .map(|(num, mut question)| {
+            question.num = 1 + num as u32;
+            question
+        })
+        .collect()
+        .await
+}
+
+fn read_sample_sync() -> Vec<Question> {
+    std::thread::spawn(|| {
+        runtime::Builder::new_current_thread()
+            .build()
+            .unwrap()
+            .block_on(read_sample())
+    })
+    .join()
+    .expect("spawn thread")
+}
+
+async fn prepare_db_writer<P: AsRef<Path>>(path: P) -> Writer<Question> {
+    let opts = WriterOpts {
+        compress_lvl: Level::Fastest,
+        data_buf_size: 100 * 1024 * 1024,
+        out_buf_size: 100 * 1024 * 1024,
+        current_buf_size: 10240,
+    };
+
+    Writer::<Question>::new(path, opts)
+        .await
+        .expect("new writer")
+}
+
+fn setup_writer<P: AsRef<Path>>(path: P) -> Writer<Question> {
+    let rp = path.as_ref().to_str().unwrap().to_string();
+
+    std::thread::spawn(|| {
+        runtime::Builder::new_current_thread()
+            .build()
+            .unwrap()
+            .block_on(prepare_db_writer(rp))
+    })
+    .join()
+    .expect("spawn thread")
+}
+
+fn setup_reader<P: AsRef<Path>>(path: P) -> Reader<Question> {
+    let rp = path.as_ref().to_str().unwrap().to_string();
+    std::thread::spawn(|| {
+        runtime::Builder::new_current_thread()
+            .build()
+            .unwrap()
+            .block_on(async move { Reader::new(rp).await.expect("new reader") })
+    })
+    .join()
+    .expect("spawn thread")
+}
+
+fn questions_async_read(c: &mut Criterion) {
+    c.bench_function("questions_async_read", |b| {
+        b.to_async(RUNTIME.deref()).iter_batched(
+            || setup_reader(NEW_DB_FILENAME),
+            |reader| async move {
+                reader
+                    .stream()
+                    .take(N)
+                    .for_each(|item| async { drop(item) })
+                    .await
+            },
+            BatchSize::SmallInput,
+        )
+    });
+}
+
+fn questions_async_write(c: &mut Criterion) {
+    let dir = tempdir().expect("tempdir");
+
+    c.bench_function("questions_async_write", |b| {
+        b.to_async(RUNTIME.deref()).iter_batched(
+            || {
+                let tmpfile = NamedTempFile::new_in(dir.path())
+                    .expect("new tempfile")
+                    .into_temp_path();
+                let src = read_sample_sync().into_iter();
+                let src = futures::stream::iter(src);
+                let writer = setup_writer(&tmpfile);
+                (src, writer)
+            },
+            |(mut src, mut writer)| async move {
+                writer.load(&mut src).await.unwrap();
+                writer.finish().await.unwrap();
+            },
+            BatchSize::SmallInput,
+        )
+    });
+}
+
+fn config() -> Criterion {
+    Criterion::default()
+        .sample_size(40)
+        .warm_up_time(Duration::from_secs(7))
+        .measurement_time(Duration::from_secs(20))
+}
+
+criterion_group! {name=benches; config = config(); targets = questions_async_read, questions_async_write}
+criterion_main!(benches);