MeiliSearch/milli/src/subcommand/search.rs

89 lines
2.8 KiB
Rust

use std::io::{self, BufRead, Write};
use std::iter::once;
use std::path::PathBuf;
use std::time::Instant;
use byte_unit::Byte;
use heed::EnvOpenOptions;
use log::debug;
use structopt::StructOpt;
use crate::{Index, obkv_to_json};
#[derive(Debug, StructOpt)]
/// A simple search helper binary for the milli project.
pub struct Opt {
/// The database path where the database is located.
/// It is created if it doesn't already exist.
#[structopt(long = "db", parse(from_os_str))]
database: PathBuf,
/// The maximum size the database can take on disk. It is recommended to specify
/// the whole disk space (value must be a multiple of a page size).
#[structopt(long = "db-size", default_value = "100 GiB")]
database_size: Byte,
/// Verbose mode (-v, -vv, -vvv, etc.)
#[structopt(short, long, parse(from_occurrences))]
verbose: usize,
/// The query string to search for (doesn't support prefix search yet).
query: Option<String>,
/// Compute and print the facet distribution of all the faceted fields.
#[structopt(long)]
print_facet_distribution: bool,
}
pub fn run(opt: Opt) -> anyhow::Result<()> {
stderrlog::new()
.verbosity(opt.verbose)
.show_level(false)
.timestamp(stderrlog::Timestamp::Off)
.init()?;
std::fs::create_dir_all(&opt.database)?;
let mut options = EnvOpenOptions::new();
options.map_size(opt.database_size.get_bytes() as usize);
// Open the LMDB database.
let index = Index::new(options, &opt.database)?;
let rtxn = index.read_txn()?;
let fields_ids_map = index.fields_ids_map(&rtxn)?;
let displayed_fields = match index.displayed_fields_ids(&rtxn)? {
Some(fields) => fields,
None => fields_ids_map.iter().map(|(id, _)| id).collect(),
};
let stdin = io::stdin();
let lines = match opt.query {
Some(query) => Box::new(once(Ok(query))),
None => Box::new(stdin.lock().lines()) as Box<dyn Iterator<Item = _>>,
};
let mut stdout = io::stdout();
for result in lines {
let before = Instant::now();
let query = result?;
let result = index.search(&rtxn).query(query).execute()?;
let documents = index.documents(&rtxn, result.documents_ids.iter().cloned())?;
for (_id, record) in documents {
let val = obkv_to_json(&displayed_fields, &fields_ids_map, record)?;
serde_json::to_writer(&mut stdout, &val)?;
let _ = writeln!(&mut stdout);
}
if opt.print_facet_distribution {
let facets = index.facets_distribution(&rtxn).candidates(result.candidates).execute()?;
serde_json::to_writer(&mut stdout, &facets)?;
let _ = writeln!(&mut stdout);
}
debug!("Took {:.02?} to find {} documents", before.elapsed(), result.documents_ids.len());
}
Ok(())
}