mirror of
https://github.com/meilisearch/MeiliSearch
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Put the documents into an MTBL database
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parent
d5a356902a
commit
fae694a102
2
Cargo.lock
generated
2
Cargo.lock
generated
@ -1216,7 +1216,7 @@ checksum = "2839e79665f131bdb5782e51f2c6c9599c133c6098982a54c794358bf432529c"
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[[package]]
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name = "oxidized-mtbl"
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version = "0.1.0"
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source = "git+https://github.com/Kerollmops/oxidized-mtbl.git?rev=6b8a3a8#6b8a3a83a8b83bfdba38f7ea67bfa5868e668741"
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source = "git+https://github.com/Kerollmops/oxidized-mtbl.git?rev=13294cc#13294ccd73c9d6f71645a3ed2852656f3c86d31d"
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dependencies = [
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"byteorder",
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"crc32c",
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@ -1,3 +1,4 @@
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use std::convert::TryInto;
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use std::convert::TryFrom;
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use std::fs::File;
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use std::io::{self, Read, Write};
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@ -30,10 +31,10 @@ const MAX_ATTRIBUTES: usize = u32::max_value() as usize / MAX_POSITION;
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const HEADERS_KEY: &[u8] = b"\0headers";
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const WORDS_FST_KEY: &[u8] = b"\x05words-fst";
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const DOCUMENTS_KEY: &[u8] = b"\x06documents";
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const WORD_POSITIONS_BYTE: u8 = 1;
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const WORD_POSITION_DOCIDS_BYTE: u8 = 2;
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const WORD_ATTRIBUTE_DOCIDS_BYTE: u8 = 3;
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const DOCUMENT_BYTE: u8 = 4;
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#[cfg(target_os = "linux")]
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#[global_allocator]
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@ -88,22 +89,23 @@ struct Store {
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word_position_docids: ArcCache<(SmallVec32<u8>, Position), RoaringBitmap>,
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word_attribute_docids: ArcCache<(SmallVec32<u8>, Attribute), RoaringBitmap>,
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sorter: Sorter<MergeFn>,
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documents_sorter: Sorter<MergeFn>,
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}
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impl Store {
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fn new(arc_cache_size: Option<usize>, max_nb_chunks: Option<usize>, max_memory: Option<usize>) -> Store {
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let mut builder = Sorter::builder(merge as MergeFn);
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builder.chunk_compression_type(CompressionType::Snappy);
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if let Some(nb_chunks) = max_nb_chunks {
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builder.max_nb_chunks(nb_chunks);
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}
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if let Some(memory) = max_memory {
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builder.max_memory(memory);
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}
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let mut documents_builder = Sorter::builder(docs_merge as MergeFn);
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documents_builder.chunk_compression_type(CompressionType::Snappy);
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let arc_cache_size = arc_cache_size.unwrap_or(65_535);
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Store {
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@ -111,6 +113,7 @@ impl Store {
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word_position_docids: ArcCache::new(arc_cache_size),
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word_attribute_docids: ArcCache::new(arc_cache_size),
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sorter: builder.build(),
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documents_sorter: documents_builder.build(),
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}
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}
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@ -144,13 +147,7 @@ impl Store {
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}
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pub fn write_document(&mut self, id: DocumentId, content: &[u8]) -> anyhow::Result<()> {
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let id = id.to_be_bytes();
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let mut key = Vec::with_capacity(1 + id.len());
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key.push(DOCUMENT_BYTE);
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key.extend_from_slice(&id);
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Ok(self.sorter.insert(&key, content)?)
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Ok(self.documents_sorter.insert(id.to_be_bytes(), content)?)
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}
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fn write_word_positions<I>(sorter: &mut Sorter<MergeFn>, iter: I) -> anyhow::Result<()>
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@ -245,6 +242,12 @@ impl Store {
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let fst = builder.into_set();
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wtr.insert(WORDS_FST_KEY, fst.as_fst().as_bytes())?;
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let mut docs_wtr = tempfile::tempfile().map(Writer::new)?;
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self.documents_sorter.write_into(&mut docs_wtr)?;
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let docs_file = docs_wtr.into_inner()?;
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let docs_mmap = unsafe { Mmap::map(&docs_file)? };
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wtr.insert(DOCUMENTS_KEY, docs_mmap)?;
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let file = wtr.into_inner()?;
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let mmap = unsafe { Mmap::map(&file)? };
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let reader = Reader::new(mmap)?;
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@ -253,6 +256,12 @@ impl Store {
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}
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}
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fn docs_merge(key: &[u8], values: &[Vec<u8>]) -> Result<Vec<u8>, ()> {
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let key = key.try_into().unwrap();
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let id = u32::from_be_bytes(key);
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panic!("documents must not conflict ({} with {} values)!", id, values.len())
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}
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fn merge(key: &[u8], values: &[Vec<u8>]) -> Result<Vec<u8>, ()> {
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match key {
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WORDS_FST_KEY => {
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@ -271,6 +280,20 @@ fn merge(key: &[u8], values: &[Vec<u8>]) -> Result<Vec<u8>, ()> {
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assert!(values.windows(2).all(|vs| vs[0] == vs[1]));
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Ok(values[0].to_vec())
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},
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DOCUMENTS_KEY => {
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let sources: Vec<_> = values.iter().map(Reader::new).collect::<Result<_, _>>().unwrap();
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let mut builder = Merger::builder(docs_merge);
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builder.extend(sources);
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let merger = builder.build();
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let mut builder = Writer::builder();
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builder.compression_type(CompressionType::Snappy);
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let mut wtr = builder.memory();
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merger.write_into(&mut wtr).unwrap();
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Ok(wtr.into_inner().unwrap())
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},
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key => match key[0] {
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WORD_POSITIONS_BYTE | WORD_POSITION_DOCIDS_BYTE | WORD_ATTRIBUTE_DOCIDS_BYTE => {
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let mut first = RoaringBitmap::deserialize_from(values[0].as_slice()).unwrap();
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@ -284,10 +307,6 @@ fn merge(key: &[u8], values: &[Vec<u8>]) -> Result<Vec<u8>, ()> {
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first.serialize_into(&mut vec).unwrap();
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Ok(vec)
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},
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DOCUMENT_BYTE => {
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assert!(values.windows(2).all(|vs| vs[0] == vs[1]));
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Ok(values[0].to_vec())
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},
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otherwise => panic!("wut {:?}", otherwise),
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}
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}
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@ -304,6 +323,10 @@ fn lmdb_writer(wtxn: &mut heed::RwTxn, index: &Index, key: &[u8], val: &[u8]) ->
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// Write the headers
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index.main.put::<_, Str, ByteSlice>(wtxn, "headers", val)?;
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}
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else if key == DOCUMENTS_KEY {
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// Write the documents
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index.main.put::<_, Str, ByteSlice>(wtxn, "documents", val)?;
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}
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else if key.starts_with(&[WORD_POSITIONS_BYTE]) {
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// Write the postings lists
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index.word_positions.as_polymorph()
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@ -319,11 +342,6 @@ fn lmdb_writer(wtxn: &mut heed::RwTxn, index: &Index, key: &[u8], val: &[u8]) ->
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index.word_attribute_docids.as_polymorph()
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.put::<_, ByteSlice, ByteSlice>(wtxn, &key[1..], val)?;
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}
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else if key.starts_with(&[DOCUMENT_BYTE]) {
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// Write the documents
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index.documents.as_polymorph()
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.put::<_, ByteSlice, ByteSlice>(wtxn, &key[1..], val)?;
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}
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Ok(())
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}
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@ -357,7 +375,7 @@ fn index_csv(
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max_memory: Option<usize>,
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) -> anyhow::Result<Reader<Mmap>>
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{
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debug!("{:?}: Indexing into an Indexed...", thread_index);
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debug!("{:?}: Indexing into a Store...", thread_index);
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let mut store = Store::new(arc_cache_size, max_nb_chunks, max_memory);
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@ -480,7 +498,7 @@ fn main() -> anyhow::Result<()> {
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let mut wtxn = env.write_txn()?;
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merge_into_lmdb(stores, |k, v| lmdb_writer(&mut wtxn, &index, k, v))?;
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let count = index.documents.len(&wtxn)?;
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let count = index.documents(&wtxn)?.unwrap().metadata().count_entries;
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wtxn.commit()?;
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debug!("Wrote {} documents into LMDB", count);
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@ -5,7 +5,7 @@ use std::time::Instant;
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use heed::EnvOpenOptions;
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use log::debug;
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use milli::{Index, BEU32};
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use milli::Index;
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use structopt::StructOpt;
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#[cfg(target_os = "linux")]
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@ -67,9 +67,11 @@ fn main() -> anyhow::Result<()> {
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let mut stdout = io::stdout();
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stdout.write_all(&headers)?;
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let documents = index.documents(&rtxn)?.unwrap();
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for id in &documents_ids {
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if let Some(content) = index.documents.get(&rtxn, &BEU32::new(*id))? {
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stdout.write_all(&content)?;
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let id_bytes = id.to_be_bytes();
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if let Some(content) = documents.clone().get(&id_bytes)? {
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stdout.write_all(content.as_ref())?;
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}
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}
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use structopt::StructOpt;
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use warp::{Filter, http::Response};
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use milli::{BEU32, Index};
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use milli::Index;
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#[cfg(target_os = "linux")]
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#[global_allocator]
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@ -87,7 +87,7 @@ async fn main() -> anyhow::Result<()> {
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// the disk file size and the number of documents in the database.
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let db_name = opt.database.file_stem().and_then(|s| s.to_str()).unwrap_or("").to_string();
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let db_size = File::open(opt.database.join("data.mdb"))?.metadata()?.len() as usize;
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let docs_count = env.read_txn().and_then(|r| index.documents.len(&r))?;
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let docs_count = env.read_txn().and_then(|r| Ok(index.documents(&r).unwrap().unwrap().metadata().count_entries))?;
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// We run and wait on the HTTP server
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@ -98,7 +98,7 @@ async fn main() -> anyhow::Result<()> {
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IndexTemplate {
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db_name: db_name.clone(),
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db_size,
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docs_count,
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docs_count: docs_count as usize,
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}
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});
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@ -185,11 +185,13 @@ async fn main() -> anyhow::Result<()> {
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if let Some(headers) = index.headers(&rtxn).unwrap() {
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// We write the headers
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body.extend_from_slice(headers);
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let documents = index.documents(&rtxn).unwrap().unwrap();
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for id in documents_ids {
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let content = index.documents.get(&rtxn, &BEU32::new(id)).unwrap();
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let id_bytes = id.to_be_bytes();
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let content = documents.clone().get(&id_bytes).unwrap();
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let content = content.expect(&format!("could not find document {}", id));
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let content = std::str::from_utf8(content).unwrap();
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let content = std::str::from_utf8(content.as_ref()).unwrap();
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let content = if disable_highlighting {
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Cow::from(content)
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11
src/lib.rs
11
src/lib.rs
@ -16,6 +16,7 @@ use heed::{PolyDatabase, Database};
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use levenshtein_automata::LevenshteinAutomatonBuilder as LevBuilder;
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use log::debug;
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use once_cell::sync::Lazy;
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use oxidized_mtbl::Reader;
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use roaring::RoaringBitmap;
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use self::best_proximity::BestProximity;
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@ -49,8 +50,6 @@ pub struct Index {
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pub prefix_word_position_docids: Database<ByteSlice, RoaringBitmapCodec>,
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/// Maps a word and an attribute (u32) to all the documents ids that it appears in.
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pub word_attribute_docids: Database<ByteSlice, RoaringBitmapCodec>,
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/// Maps an internal document to the content of the document in CSV.
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pub documents: Database<OwnedType<BEU32>, ByteSlice>,
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}
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impl Index {
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@ -62,7 +61,6 @@ impl Index {
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word_position_docids: env.create_database(Some("word-position-docids"))?,
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prefix_word_position_docids: env.create_database(Some("prefix-word-position-docids"))?,
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word_attribute_docids: env.create_database(Some("word-attribute-docids"))?,
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documents: env.create_database(Some("documents"))?,
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})
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}
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@ -74,6 +72,13 @@ impl Index {
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self.main.get::<_, Str, ByteSlice>(rtxn, "headers")
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}
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pub fn documents<'t>(&self, rtxn: &'t heed::RoTxn) -> anyhow::Result<Option<Reader<&'t [u8]>>> {
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match self.main.get::<_, Str, ByteSlice>(rtxn, "documents")? {
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Some(bytes) => Ok(Some(Reader::new(bytes)?)),
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None => Ok(None),
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}
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}
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pub fn number_of_attributes<'t>(&self, rtxn: &'t heed::RoTxn) -> anyhow::Result<Option<usize>> {
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match self.headers(rtxn)? {
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Some(headers) => {
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