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test: Add benchmarks to mesure the database
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commit
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@ -42,6 +42,8 @@ nightly = []
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csv = "1.0"
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elapsed = "0.1"
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quickcheck = "0.7"
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rand = "0.6"
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rand_xorshift = "0.1"
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structopt = "0.2"
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tempfile = "3.0"
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termcolor = "1.0"
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@ -318,3 +318,321 @@ mod tests {
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Ok(dir.close()?)
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}
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}
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#[cfg(all(feature = "nightly", test))]
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mod bench {
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extern crate test;
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use super::*;
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use std::error::Error;
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use std::iter::repeat_with;
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use self::test::Bencher;
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use rand::distributions::Alphanumeric;
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use rand_xorshift::XorShiftRng;
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use rand::{Rng, SeedableRng};
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use rand::seq::SliceRandom;
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use serde_derive::Serialize;
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use crate::tokenizer::DefaultBuilder;
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use crate::database::update::UpdateBuilder;
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use crate::database::schema::*;
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fn random_sentences<R: Rng>(number: usize, rng: &mut R) -> String {
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let mut words = String::new();
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for i in 0..number {
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let word_len = rng.gen_range(1, 12);
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let iter = repeat_with(|| rng.sample(Alphanumeric)).take(word_len);
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words.extend(iter);
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if i == number - 1 { // last word
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let final_ = [".", "?", "!", "..."].choose(rng).cloned();
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words.extend(final_);
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} else {
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let middle = [",", ", "].choose(rng).cloned();
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words.extend(middle);
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}
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}
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words
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}
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#[bench]
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fn open_little_database(bench: &mut Bencher) -> Result<(), Box<Error>> {
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let dir = tempfile::tempdir()?;
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let mut builder = SchemaBuilder::with_identifier("id");
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builder.new_attribute("title", STORED | INDEXED);
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builder.new_attribute("description", STORED | INDEXED);
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let schema = builder.build();
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let db_path = dir.path().join("bench.mdb");
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let database = Database::create(db_path.clone(), schema.clone())?;
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#[derive(Serialize)]
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struct Document {
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id: u64,
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title: String,
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description: String,
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}
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let path = dir.path().join("update-000.sst");
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let tokenizer_builder = DefaultBuilder;
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let mut builder = UpdateBuilder::new(path, schema.clone());
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let mut rng = XorShiftRng::seed_from_u64(42);
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for i in 0..300 {
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let document = Document {
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id: i,
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title: random_sentences(rng.gen_range(1, 8), &mut rng),
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description: random_sentences(rng.gen_range(20, 200), &mut rng),
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};
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builder.update_document(&document, &tokenizer_builder)?;
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}
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let update = builder.build()?;
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database.ingest_update_file(update)?;
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drop(database);
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bench.iter(|| {
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let database = Database::open(db_path.clone()).unwrap();
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test::black_box(|| database);
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});
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Ok(())
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}
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#[bench]
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fn open_medium_database(bench: &mut Bencher) -> Result<(), Box<Error>> {
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let dir = tempfile::tempdir()?;
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let mut builder = SchemaBuilder::with_identifier("id");
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builder.new_attribute("title", STORED | INDEXED);
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builder.new_attribute("description", STORED | INDEXED);
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let schema = builder.build();
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let db_path = dir.path().join("bench.mdb");
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let database = Database::create(db_path.clone(), schema.clone())?;
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#[derive(Serialize)]
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struct Document {
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id: u64,
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title: String,
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description: String,
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}
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let path = dir.path().join("update-000.sst");
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let tokenizer_builder = DefaultBuilder;
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let mut builder = UpdateBuilder::new(path, schema.clone());
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let mut rng = XorShiftRng::seed_from_u64(42);
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for i in 0..3000 {
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let document = Document {
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id: i,
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title: random_sentences(rng.gen_range(1, 8), &mut rng),
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description: random_sentences(rng.gen_range(20, 200), &mut rng),
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};
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builder.update_document(&document, &tokenizer_builder)?;
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}
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let update = builder.build()?;
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database.ingest_update_file(update)?;
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drop(database);
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bench.iter(|| {
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let database = Database::open(db_path.clone()).unwrap();
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test::black_box(|| database);
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});
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Ok(())
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}
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#[bench]
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#[ignore]
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fn open_big_database(bench: &mut Bencher) -> Result<(), Box<Error>> {
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let dir = tempfile::tempdir()?;
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let mut builder = SchemaBuilder::with_identifier("id");
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builder.new_attribute("title", STORED | INDEXED);
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builder.new_attribute("description", STORED | INDEXED);
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let schema = builder.build();
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let db_path = dir.path().join("bench.mdb");
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let database = Database::create(db_path.clone(), schema.clone())?;
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#[derive(Serialize)]
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struct Document {
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id: u64,
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title: String,
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description: String,
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}
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let path = dir.path().join("update-000.sst");
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let tokenizer_builder = DefaultBuilder;
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let mut builder = UpdateBuilder::new(path, schema.clone());
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let mut rng = XorShiftRng::seed_from_u64(42);
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for i in 0..30_000 {
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let document = Document {
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id: i,
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title: random_sentences(rng.gen_range(1, 8), &mut rng),
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description: random_sentences(rng.gen_range(20, 200), &mut rng),
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};
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builder.update_document(&document, &tokenizer_builder)?;
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}
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let update = builder.build()?;
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database.ingest_update_file(update)?;
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drop(database);
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bench.iter(|| {
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let database = Database::open(db_path.clone()).unwrap();
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test::black_box(|| database);
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});
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Ok(())
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}
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#[bench]
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fn search_oneletter_little_database(bench: &mut Bencher) -> Result<(), Box<Error>> {
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let dir = tempfile::tempdir()?;
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let mut builder = SchemaBuilder::with_identifier("id");
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builder.new_attribute("title", STORED | INDEXED);
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builder.new_attribute("description", STORED | INDEXED);
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let schema = builder.build();
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let db_path = dir.path().join("bench.mdb");
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let database = Database::create(db_path.clone(), schema.clone())?;
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#[derive(Serialize)]
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struct Document {
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id: u64,
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title: String,
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description: String,
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}
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let path = dir.path().join("update-000.sst");
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let tokenizer_builder = DefaultBuilder;
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let mut builder = UpdateBuilder::new(path, schema.clone());
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let mut rng = XorShiftRng::seed_from_u64(42);
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for i in 0..300 {
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let document = Document {
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id: i,
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title: random_sentences(rng.gen_range(1, 8), &mut rng),
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description: random_sentences(rng.gen_range(20, 200), &mut rng),
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};
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builder.update_document(&document, &tokenizer_builder)?;
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}
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let update = builder.build()?;
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let view = database.ingest_update_file(update)?;
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bench.iter(|| {
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for q in &["a", "b", "c", "d", "e"] {
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let documents = view.query_builder().unwrap().query(q, 0..20);
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test::black_box(|| documents);
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}
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});
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Ok(())
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}
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#[bench]
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fn search_oneletter_medium_database(bench: &mut Bencher) -> Result<(), Box<Error>> {
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let dir = tempfile::tempdir()?;
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let mut builder = SchemaBuilder::with_identifier("id");
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builder.new_attribute("title", STORED | INDEXED);
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builder.new_attribute("description", STORED | INDEXED);
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let schema = builder.build();
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let db_path = dir.path().join("bench.mdb");
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let database = Database::create(db_path.clone(), schema.clone())?;
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#[derive(Serialize)]
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struct Document {
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id: u64,
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title: String,
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description: String,
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}
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let path = dir.path().join("update-000.sst");
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let tokenizer_builder = DefaultBuilder;
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let mut builder = UpdateBuilder::new(path, schema.clone());
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let mut rng = XorShiftRng::seed_from_u64(42);
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for i in 0..3000 {
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let document = Document {
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id: i,
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title: random_sentences(rng.gen_range(1, 8), &mut rng),
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description: random_sentences(rng.gen_range(20, 200), &mut rng),
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};
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builder.update_document(&document, &tokenizer_builder)?;
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}
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let update = builder.build()?;
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let view = database.ingest_update_file(update)?;
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bench.iter(|| {
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for q in &["a", "b", "c", "d", "e"] {
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let documents = view.query_builder().unwrap().query(q, 0..20);
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test::black_box(|| documents);
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}
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});
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Ok(())
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}
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#[bench]
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#[ignore]
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fn search_oneletter_big_database(bench: &mut Bencher) -> Result<(), Box<Error>> {
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let dir = tempfile::tempdir()?;
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let mut builder = SchemaBuilder::with_identifier("id");
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builder.new_attribute("title", STORED | INDEXED);
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builder.new_attribute("description", STORED | INDEXED);
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let schema = builder.build();
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let db_path = dir.path().join("bench.mdb");
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let database = Database::create(db_path.clone(), schema.clone())?;
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#[derive(Serialize)]
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struct Document {
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id: u64,
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title: String,
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description: String,
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}
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let path = dir.path().join("update-000.sst");
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let tokenizer_builder = DefaultBuilder;
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let mut builder = UpdateBuilder::new(path, schema.clone());
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let mut rng = XorShiftRng::seed_from_u64(42);
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for i in 0..30_000 {
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let document = Document {
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id: i,
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title: random_sentences(rng.gen_range(1, 8), &mut rng),
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description: random_sentences(rng.gen_range(20, 200), &mut rng),
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};
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builder.update_document(&document, &tokenizer_builder)?;
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}
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let update = builder.build()?;
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let view = database.ingest_update_file(update)?;
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bench.iter(|| {
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for q in &["a", "b", "c", "d", "e"] {
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let documents = view.query_builder().unwrap().query(q, 0..20);
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test::black_box(|| documents);
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}
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});
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Ok(())
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}
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}
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@ -1,3 +1,5 @@
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#![cfg_attr(feature = "nightly", feature(test))]
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pub mod automaton;
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pub mod database;
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pub mod data;
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