mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-28 23:41:38 +01:00
139 lines
3.7 KiB
Rust
139 lines
3.7 KiB
Rust
#[global_allocator]
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static ALLOC: jemallocator::Jemalloc = jemallocator::Jemalloc;
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use std::io::{self, BufRead, BufReader};
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use std::path::{Path, PathBuf};
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use std::error::Error;
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use std::borrow::Cow;
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use std::fs::File;
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use hashbrown::{HashMap, HashSet};
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use serde_derive::{Serialize, Deserialize};
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use structopt::StructOpt;
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use meilidb::database::{Database, Schema, UpdateBuilder};
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use meilidb::tokenizer::DefaultBuilder;
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#[derive(Debug, StructOpt)]
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pub struct Opt {
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/// The destination where the database must be created.
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#[structopt(parse(from_os_str))]
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pub database_path: PathBuf,
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/// The csv file to index.
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#[structopt(parse(from_os_str))]
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pub csv_data_path: PathBuf,
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/// The path to the schema.
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#[structopt(long = "schema", parse(from_os_str))]
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pub schema_path: PathBuf,
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/// The path to the list of stop words (one by line).
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#[structopt(long = "stop-words", parse(from_os_str))]
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pub stop_words_path: Option<PathBuf>,
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#[structopt(long = "update-group-size")]
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pub update_group_size: Option<usize>,
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}
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#[derive(Serialize, Deserialize)]
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struct Document<'a> (
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#[serde(borrow)]
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HashMap<Cow<'a, str>, Cow<'a, str>>
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);
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fn index(
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schema: Schema,
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database_path: &Path,
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csv_data_path: &Path,
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update_group_size: Option<usize>,
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stop_words: &HashSet<String>,
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) -> Result<Database, Box<Error>>
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{
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let database = Database::create(database_path, &schema)?;
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let mut rdr = csv::Reader::from_path(csv_data_path)?;
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let mut raw_record = csv::StringRecord::new();
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let headers = rdr.headers()?.clone();
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let mut i = 0;
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let mut end_of_file = false;
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while !end_of_file {
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let tokenizer_builder = DefaultBuilder::new();
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let update_path = tempfile::NamedTempFile::new()?;
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let mut update = UpdateBuilder::new(update_path.path().to_path_buf(), schema.clone());
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loop {
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end_of_file = !rdr.read_record(&mut raw_record)?;
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if end_of_file { break }
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let document: Document = match raw_record.deserialize(Some(&headers)) {
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Ok(document) => document,
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Err(e) => {
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eprintln!("{:?}", e);
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continue;
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}
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};
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update.update_document(&document, &tokenizer_builder, &stop_words)?;
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print!("\rindexing document {}", i);
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i += 1;
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if let Some(group_size) = update_group_size {
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if i % group_size == 0 { break }
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}
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}
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println!();
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println!("building update...");
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let update = update.build()?;
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println!("ingesting update...");
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database.ingest_update_file(update)?;
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}
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Ok(database)
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}
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fn retrieve_stop_words(path: &Path) -> io::Result<HashSet<String>> {
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let f = File::open(path)?;
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let reader = BufReader::new(f);
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let mut words = HashSet::new();
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for line in reader.lines() {
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let line = line?;
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let word = line.trim().to_string();
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words.insert(word);
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}
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Ok(words)
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}
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fn main() -> Result<(), Box<Error>> {
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let _ = env_logger::init();
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let opt = Opt::from_args();
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let schema = {
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let file = File::open(&opt.schema_path)?;
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Schema::from_toml(file)?
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};
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let stop_words = match opt.stop_words_path {
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Some(ref path) => retrieve_stop_words(path)?,
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None => HashSet::new(),
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};
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let (elapsed, result) = elapsed::measure_time(|| {
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index(schema, &opt.database_path, &opt.csv_data_path, opt.update_group_size, &stop_words)
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});
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if let Err(e) = result {
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return Err(e.into())
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}
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println!("database created in {} at: {:?}", elapsed, opt.database_path);
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Ok(())
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}
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