MeiliSearch/benchmarks/benches/utils.rs

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#![allow(dead_code)]
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use std::fs::{create_dir_all, remove_dir_all, File};
use std::io::{self, BufRead, BufReader, Cursor, Read, Seek};
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use std::num::ParseFloatError;
use std::path::Path;
use criterion::BenchmarkId;
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use milli::documents::{DocumentsBatchBuilder, DocumentsBatchReader};
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use milli::heed::EnvOpenOptions;
use milli::update::{
IndexDocuments, IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Settings,
};
use milli::{Filter, Index, Object};
use serde_json::Value;
pub struct Conf<'a> {
/// where we are going to create our database.mmdb directory
/// each benchmark will first try to delete it and then recreate it
pub database_name: &'a str,
/// the dataset to be used, it must be an uncompressed csv
pub dataset: &'a str,
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/// The format of the dataset
pub dataset_format: &'a str,
pub group_name: &'a str,
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pub queries: &'a [&'a str],
/// here you can change which criterion are used and in which order.
/// - if you specify something all the base configuration will be thrown out
/// - if you don't specify anything (None) the default configuration will be kept
pub criterion: Option<&'a [&'a str]>,
/// the last chance to configure your database as you want
pub configure: fn(&mut Settings),
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pub filter: Option<&'a str>,
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pub sort: Option<Vec<&'a str>>,
/// enable or disable the optional words on the query
pub optional_words: bool,
/// primary key, if there is None we'll auto-generate docids for every documents
pub primary_key: Option<&'a str>,
}
impl Conf<'_> {
pub const BASE: Self = Conf {
database_name: "benches.mmdb",
dataset_format: "csv",
dataset: "",
group_name: "",
queries: &[],
criterion: None,
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configure: |_| (),
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filter: None,
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sort: None,
optional_words: true,
primary_key: None,
};
}
pub fn base_setup(conf: &Conf) -> Index {
match remove_dir_all(&conf.database_name) {
Ok(_) => (),
Err(e) if e.kind() == std::io::ErrorKind::NotFound => (),
Err(e) => panic!("{}", e),
}
create_dir_all(&conf.database_name).unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(100 * 1024 * 1024 * 1024); // 100 GB
options.max_readers(10);
let index = Index::new(options, conf.database_name).unwrap();
let config = IndexerConfig::default();
let mut wtxn = index.write_txn().unwrap();
let mut builder = Settings::new(&mut wtxn, &index, &config);
if let Some(primary_key) = conf.primary_key {
builder.set_primary_key(primary_key.to_string());
}
if let Some(criterion) = conf.criterion {
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builder.reset_filterable_fields();
builder.reset_criteria();
builder.reset_stop_words();
let criterion = criterion.iter().map(|s| s.to_string()).collect();
builder.set_criteria(criterion);
}
(conf.configure)(&mut builder);
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builder.execute(|_| ()).unwrap();
wtxn.commit().unwrap();
let config = IndexerConfig::default();
let mut wtxn = index.write_txn().unwrap();
let indexing_config = IndexDocumentsConfig {
autogenerate_docids: conf.primary_key.is_none(),
update_method: IndexDocumentsMethod::ReplaceDocuments,
..Default::default()
};
let builder = IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()).unwrap();
let documents = documents_from(conf.dataset, conf.dataset_format);
let (builder, user_error) = builder.add_documents(documents).unwrap();
user_error.unwrap();
builder.execute().unwrap();
wtxn.commit().unwrap();
index
}
pub fn run_benches(c: &mut criterion::Criterion, confs: &[Conf]) {
for conf in confs {
let index = base_setup(conf);
let file_name = Path::new(conf.dataset).file_name().and_then(|f| f.to_str()).unwrap();
let name = format!("{}: {}", file_name, conf.group_name);
let mut group = c.benchmark_group(&name);
for &query in conf.queries {
group.bench_with_input(BenchmarkId::from_parameter(query), &query, |b, &query| {
b.iter(|| {
let rtxn = index.read_txn().unwrap();
let mut search = index.search(&rtxn);
search.query(query).optional_words(conf.optional_words);
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if let Some(filter) = conf.filter {
let filter = Filter::from_str(filter).unwrap().unwrap();
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search.filter(filter);
}
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if let Some(sort) = &conf.sort {
let sort = sort.iter().map(|sort| sort.parse().unwrap()).collect();
search.sort_criteria(sort);
}
let _ids = search.execute().unwrap();
});
});
}
group.finish();
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index.prepare_for_closing().wait();
}
}
pub fn documents_from(filename: &str, filetype: &str) -> DocumentsBatchReader<impl BufRead + Seek> {
let reader =
File::open(filename).expect(&format!("could not find the dataset in: {}", filename));
let reader = BufReader::new(reader);
let documents = match filetype {
"csv" => documents_from_csv(reader).unwrap(),
"json" => documents_from_json(reader).unwrap(),
"jsonl" => documents_from_jsonl(reader).unwrap(),
otherwise => panic!("invalid update format {:?}", otherwise),
};
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DocumentsBatchReader::from_reader(Cursor::new(documents)).unwrap()
}
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fn documents_from_jsonl(reader: impl BufRead) -> anyhow::Result<Vec<u8>> {
let mut documents = DocumentsBatchBuilder::new(Vec::new());
for result in serde_json::Deserializer::from_reader(reader).into_iter::<Object>() {
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let object = result?;
documents.append_json_object(&object)?;
}
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documents.into_inner().map_err(Into::into)
}
fn documents_from_json(reader: impl BufRead) -> anyhow::Result<Vec<u8>> {
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let mut documents = DocumentsBatchBuilder::new(Vec::new());
documents.append_json_array(reader)?;
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documents.into_inner().map_err(Into::into)
}
fn documents_from_csv(reader: impl BufRead) -> anyhow::Result<Vec<u8>> {
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let csv = csv::Reader::from_reader(reader);
let mut documents = DocumentsBatchBuilder::new(Vec::new());
documents.append_csv(csv)?;
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documents.into_inner().map_err(Into::into)
}
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enum AllowedType {
String,
Number,
}
fn parse_csv_header(header: &str) -> (String, AllowedType) {
// if there are several separators we only split on the last one.
match header.rsplit_once(':') {
Some((field_name, field_type)) => match field_type {
"string" => (field_name.to_string(), AllowedType::String),
"number" => (field_name.to_string(), AllowedType::Number),
// we may return an error in this case.
_otherwise => (header.to_string(), AllowedType::String),
},
None => (header.to_string(), AllowedType::String),
}
}
struct CSVDocumentDeserializer<R>
where
R: Read,
{
documents: csv::StringRecordsIntoIter<R>,
headers: Vec<(String, AllowedType)>,
}
impl<R: Read> CSVDocumentDeserializer<R> {
fn from_reader(reader: R) -> io::Result<Self> {
let mut records = csv::Reader::from_reader(reader);
let headers = records.headers()?.into_iter().map(parse_csv_header).collect();
Ok(Self { documents: records.into_records(), headers })
}
}
impl<R: Read> Iterator for CSVDocumentDeserializer<R> {
type Item = anyhow::Result<Object>;
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fn next(&mut self) -> Option<Self::Item> {
let csv_document = self.documents.next()?;
match csv_document {
Ok(csv_document) => {
let mut document = Object::new();
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for ((field_name, field_type), value) in
self.headers.iter().zip(csv_document.into_iter())
{
let parsed_value: Result<Value, ParseFloatError> = match field_type {
AllowedType::Number => {
value.parse::<f64>().map(Value::from).map_err(Into::into)
}
AllowedType::String => Ok(Value::String(value.to_string())),
};
match parsed_value {
Ok(value) => drop(document.insert(field_name.to_string(), value)),
Err(_e) => {
return Some(Err(anyhow::anyhow!(
"Value '{}' is not a valid number",
value
)))
}
}
}
Some(Ok(document))
}
Err(e) => Some(Err(anyhow::anyhow!("Error parsing csv document: {}", e))),
}
}
}