115 lines
4.0 KiB
Rust
115 lines
4.0 KiB
Rust
use std::fs::{create_dir_all, remove_dir_all, File};
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use criterion::BenchmarkId;
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use heed::EnvOpenOptions;
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use milli::{
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update::{IndexDocumentsMethod, Settings, UpdateBuilder, UpdateFormat},
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FacetCondition, Index,
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};
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pub struct Conf<'a> {
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/// where we are going to create our database.mmdb directory
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/// each benchmark will first try to delete it and then recreate it
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pub database_name: &'a str,
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/// the dataset to be used, it must be an uncompressed csv
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pub dataset: &'a str,
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pub group_name: &'a str,
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pub queries: &'a [&'a str],
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/// here you can change which criterion are used and in which order.
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/// - if you specify something all the base configuration will be thrown out
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/// - if you don't specify anything (None) the default configuration will be kept
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pub criterion: Option<&'a [&'a str]>,
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/// the last chance to configure your database as you want
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pub configure: fn(&mut Settings),
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pub facet_condition: Option<&'a str>,
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/// enable or disable the optional words on the query
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pub optional_words: bool,
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/// primary key, if there is None we'll auto-generate docids for every documents
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pub primary_key: Option<&'a str>,
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}
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impl Conf<'_> {
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fn nop(_builder: &mut Settings) {}
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pub const BASE: Self = Conf {
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database_name: "benches.mmdb",
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dataset: "",
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group_name: "",
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queries: &[],
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criterion: None,
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configure: Self::nop,
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facet_condition: None,
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optional_words: true,
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primary_key: None,
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};
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}
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pub fn base_setup(conf: &Conf) -> Index {
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match remove_dir_all(&conf.database_name) {
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Ok(_) => (),
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Err(e) if e.kind() == std::io::ErrorKind::NotFound => (),
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Err(e) => panic!("{}", e),
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}
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create_dir_all(&conf.database_name).unwrap();
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let mut options = EnvOpenOptions::new();
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options.map_size(100 * 1024 * 1024 * 1024); // 100 GB
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options.max_readers(10);
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let index = Index::new(options, conf.database_name).unwrap();
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let update_builder = UpdateBuilder::new(0);
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let mut wtxn = index.write_txn().unwrap();
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let mut builder = update_builder.settings(&mut wtxn, &index);
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if let Some(criterion) = conf.criterion {
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builder.reset_faceted_fields();
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builder.reset_criteria();
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builder.reset_stop_words();
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let criterion = criterion.iter().map(|s| s.to_string()).collect();
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builder.set_criteria(criterion);
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}
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(conf.configure)(&mut builder);
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builder.execute(|_, _| ()).unwrap();
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wtxn.commit().unwrap();
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let update_builder = UpdateBuilder::new(0);
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let mut wtxn = index.write_txn().unwrap();
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let mut builder = update_builder.index_documents(&mut wtxn, &index);
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builder.update_format(UpdateFormat::Csv);
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builder.index_documents_method(IndexDocumentsMethod::ReplaceDocuments);
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let reader = File::open(conf.dataset)
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.expect(&format!("could not find the dataset in: {}", conf.dataset));
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builder.execute(reader, |_, _| ()).unwrap();
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wtxn.commit().unwrap();
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index
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}
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pub fn run_benches(c: &mut criterion::Criterion, confs: &[Conf]) {
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for conf in confs {
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let index = base_setup(conf);
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let mut group = c.benchmark_group(&format!("{}: {}", conf.dataset, conf.group_name));
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for &query in conf.queries {
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group.bench_with_input(BenchmarkId::from_parameter(query), &query, |b, &query| {
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b.iter(|| {
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let rtxn = index.read_txn().unwrap();
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let mut search = index.search(&rtxn);
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search.query(query).optional_words(conf.optional_words);
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if let Some(facet_condition) = conf.facet_condition {
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let facet_condition =
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FacetCondition::from_str(&rtxn, &index, facet_condition).unwrap();
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search.facet_condition(facet_condition);
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}
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let _ids = search.execute().unwrap();
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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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}
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