meilisearch/milli/src/update/index_documents/mod.rs

1385 lines
53 KiB
Rust

use std::borrow::Cow;
use std::collections::HashSet;
use std::fs::File;
use std::io::{self, BufRead, BufReader, Seek, SeekFrom};
use std::num::{NonZeroU32, NonZeroUsize};
use std::result::Result as StdResult;
use std::str;
use std::sync::mpsc::sync_channel;
use std::time::Instant;
use bstr::ByteSlice as _;
use chrono::Utc;
use grenad::{CompressionType, FileFuse, Merger, MergerIter, Reader, Sorter, Writer};
use heed::types::ByteSlice;
use log::{debug, error, info};
use memmap::Mmap;
use rayon::prelude::*;
use rayon::ThreadPool;
use serde::{Deserialize, Serialize};
pub use self::merge_function::{
cbo_roaring_bitmap_merge, fst_merge, keep_first, roaring_bitmap_merge,
tuple_string_cbo_roaring_bitmap_merge,
};
use self::store::{Readers, Store};
pub use self::transform::{Transform, TransformOutput};
use super::UpdateBuilder;
use crate::error::{Error, InternalError};
use crate::update::{
Facets, UpdateIndexingStep, WordPrefixDocids, WordPrefixPairProximityDocids,
WordsLevelPositions, WordsPrefixesFst,
};
use crate::{Index, MergeFn, Result};
mod merge_function;
mod store;
mod transform;
#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct DocumentAdditionResult {
pub nb_documents: usize,
}
#[derive(Debug, Copy, Clone)]
pub enum WriteMethod {
Append,
GetMergePut,
}
pub fn create_writer(
typ: CompressionType,
level: Option<u32>,
file: File,
) -> io::Result<Writer<File>> {
let mut builder = Writer::builder();
builder.compression_type(typ);
if let Some(level) = level {
builder.compression_level(level);
}
builder.build(file)
}
pub fn create_sorter<E>(
merge: MergeFn<E>,
chunk_compression_type: CompressionType,
chunk_compression_level: Option<u32>,
chunk_fusing_shrink_size: Option<u64>,
max_nb_chunks: Option<usize>,
max_memory: Option<usize>,
) -> Sorter<MergeFn<E>> {
let mut builder = Sorter::builder(merge);
if let Some(shrink_size) = chunk_fusing_shrink_size {
builder.file_fusing_shrink_size(shrink_size);
}
builder.chunk_compression_type(chunk_compression_type);
if let Some(level) = chunk_compression_level {
builder.chunk_compression_level(level);
}
if let Some(nb_chunks) = max_nb_chunks {
builder.max_nb_chunks(nb_chunks);
}
if let Some(memory) = max_memory {
builder.max_memory(memory);
}
builder.build()
}
pub fn writer_into_reader(
writer: Writer<File>,
shrink_size: Option<u64>,
) -> Result<Reader<FileFuse>> {
let mut file = writer.into_inner()?;
file.seek(SeekFrom::Start(0))?;
let file = if let Some(shrink_size) = shrink_size {
FileFuse::builder().shrink_size(shrink_size).build(file)
} else {
FileFuse::new(file)
};
Reader::new(file).map_err(Into::into)
}
pub fn merge_readers<E>(
sources: Vec<Reader<FileFuse>>,
merge: MergeFn<E>,
) -> Merger<FileFuse, MergeFn<E>> {
let mut builder = Merger::builder(merge);
builder.extend(sources);
builder.build()
}
pub fn merge_into_lmdb_database<E>(
wtxn: &mut heed::RwTxn,
database: heed::PolyDatabase,
sources: Vec<Reader<FileFuse>>,
merge: MergeFn<E>,
method: WriteMethod,
) -> Result<()>
where
Error: From<E>,
{
debug!("Merging {} MTBL stores...", sources.len());
let before = Instant::now();
let merger = merge_readers(sources, merge);
merger_iter_into_lmdb_database(wtxn, database, merger.into_merge_iter()?, merge, method)?;
debug!("MTBL stores merged in {:.02?}!", before.elapsed());
Ok(())
}
pub fn write_into_lmdb_database<E>(
wtxn: &mut heed::RwTxn,
database: heed::PolyDatabase,
mut reader: Reader<FileFuse>,
merge: MergeFn<E>,
method: WriteMethod,
) -> Result<()>
where
Error: From<E>,
{
debug!("Writing MTBL stores...");
let before = Instant::now();
match method {
WriteMethod::Append => {
let mut out_iter = database.iter_mut::<_, ByteSlice, ByteSlice>(wtxn)?;
while let Some((k, v)) = reader.next()? {
// safety: we don't keep references from inside the LMDB database.
unsafe { out_iter.append(k, v)? };
}
}
WriteMethod::GetMergePut => {
while let Some((k, v)) = reader.next()? {
let mut iter = database.prefix_iter_mut::<_, ByteSlice, ByteSlice>(wtxn, k)?;
match iter.next().transpose()? {
Some((key, old_val)) if key == k => {
let vals = &[Cow::Borrowed(old_val), Cow::Borrowed(v)][..];
let val = merge(k, &vals)?;
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(k, &val)? };
}
_ => {
drop(iter);
database.put::<_, ByteSlice, ByteSlice>(wtxn, k, v)?;
}
}
}
}
}
debug!("MTBL stores merged in {:.02?}!", before.elapsed());
Ok(())
}
pub fn sorter_into_lmdb_database<E>(
wtxn: &mut heed::RwTxn,
database: heed::PolyDatabase,
sorter: Sorter<MergeFn<E>>,
merge: MergeFn<E>,
method: WriteMethod,
) -> Result<()>
where
Error: From<E>,
Error: From<grenad::Error<E>>,
{
debug!("Writing MTBL sorter...");
let before = Instant::now();
merger_iter_into_lmdb_database(wtxn, database, sorter.into_iter()?, merge, method)?;
debug!("MTBL sorter writen in {:.02?}!", before.elapsed());
Ok(())
}
fn merger_iter_into_lmdb_database<R: io::Read, E>(
wtxn: &mut heed::RwTxn,
database: heed::PolyDatabase,
mut sorter: MergerIter<R, MergeFn<E>>,
merge: MergeFn<E>,
method: WriteMethod,
) -> Result<()>
where
Error: From<E>,
{
match method {
WriteMethod::Append => {
let mut out_iter = database.iter_mut::<_, ByteSlice, ByteSlice>(wtxn)?;
while let Some((k, v)) = sorter.next()? {
// safety: we don't keep references from inside the LMDB database.
unsafe { out_iter.append(k, v)? };
}
}
WriteMethod::GetMergePut => {
while let Some((k, v)) = sorter.next()? {
let mut iter = database.prefix_iter_mut::<_, ByteSlice, ByteSlice>(wtxn, k)?;
match iter.next().transpose()? {
Some((key, old_val)) if key == k => {
let vals = vec![Cow::Borrowed(old_val), Cow::Borrowed(v)];
let val = merge(k, &vals).map_err(|_| {
// TODO just wrap this error?
InternalError::IndexingMergingKeys { process: "get-put-merge" }
})?;
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(k, &val)? };
}
_ => {
drop(iter);
database.put::<_, ByteSlice, ByteSlice>(wtxn, k, v)?;
}
}
}
}
}
Ok(())
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, Serialize, Deserialize)]
#[non_exhaustive]
pub enum IndexDocumentsMethod {
/// Replace the previous document with the new one,
/// removing all the already known attributes.
ReplaceDocuments,
/// Merge the previous version of the document with the new version,
/// replacing old attributes values with the new ones and add the new attributes.
UpdateDocuments,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, Serialize, Deserialize)]
#[non_exhaustive]
pub enum UpdateFormat {
/// The given update is a real **comma seperated** CSV with headers on the first line.
Csv,
/// The given update is a JSON array with documents inside.
Json,
/// The given update is a JSON stream with a document on each line.
JsonStream,
}
pub struct IndexDocuments<'t, 'u, 'i, 'a> {
wtxn: &'t mut heed::RwTxn<'i, 'u>,
index: &'i Index,
pub(crate) log_every_n: Option<usize>,
pub(crate) max_nb_chunks: Option<usize>,
pub(crate) max_memory: Option<usize>,
pub(crate) linked_hash_map_size: Option<usize>,
pub(crate) chunk_compression_type: CompressionType,
pub(crate) chunk_compression_level: Option<u32>,
pub(crate) chunk_fusing_shrink_size: Option<u64>,
pub(crate) thread_pool: Option<&'a ThreadPool>,
facet_level_group_size: Option<NonZeroUsize>,
facet_min_level_size: Option<NonZeroUsize>,
words_prefix_threshold: Option<f64>,
max_prefix_length: Option<usize>,
words_positions_level_group_size: Option<NonZeroU32>,
words_positions_min_level_size: Option<NonZeroU32>,
update_method: IndexDocumentsMethod,
update_format: UpdateFormat,
autogenerate_docids: bool,
update_id: u64,
}
impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
pub fn new(
wtxn: &'t mut heed::RwTxn<'i, 'u>,
index: &'i Index,
update_id: u64,
) -> IndexDocuments<'t, 'u, 'i, 'a> {
IndexDocuments {
wtxn,
index,
log_every_n: None,
max_nb_chunks: None,
max_memory: None,
linked_hash_map_size: None,
chunk_compression_type: CompressionType::None,
chunk_compression_level: None,
chunk_fusing_shrink_size: None,
thread_pool: None,
facet_level_group_size: None,
facet_min_level_size: None,
words_prefix_threshold: None,
max_prefix_length: None,
words_positions_level_group_size: None,
words_positions_min_level_size: None,
update_method: IndexDocumentsMethod::ReplaceDocuments,
update_format: UpdateFormat::Json,
autogenerate_docids: false,
update_id,
}
}
pub fn index_documents_method(&mut self, method: IndexDocumentsMethod) {
self.update_method = method;
}
pub fn update_format(&mut self, format: UpdateFormat) {
self.update_format = format;
}
pub fn enable_autogenerate_docids(&mut self) {
self.autogenerate_docids = true;
}
pub fn disable_autogenerate_docids(&mut self) {
self.autogenerate_docids = false;
}
pub fn execute<R, F>(self, reader: R, progress_callback: F) -> Result<DocumentAdditionResult>
where
R: io::Read,
F: Fn(UpdateIndexingStep, u64) + Sync,
{
let mut reader = BufReader::new(reader);
reader.fill_buf()?;
// Early return when there is no document to add
if reader.buffer().is_empty() {
return Ok(DocumentAdditionResult { nb_documents: 0 });
}
self.index.set_updated_at(self.wtxn, &Utc::now())?;
let before_transform = Instant::now();
let update_id = self.update_id;
let progress_callback = |step| progress_callback(step, update_id);
let transform = Transform {
rtxn: &self.wtxn,
index: self.index,
log_every_n: self.log_every_n,
chunk_compression_type: self.chunk_compression_type,
chunk_compression_level: self.chunk_compression_level,
chunk_fusing_shrink_size: self.chunk_fusing_shrink_size,
max_nb_chunks: self.max_nb_chunks,
max_memory: self.max_memory,
index_documents_method: self.update_method,
autogenerate_docids: self.autogenerate_docids,
};
let output = match self.update_format {
UpdateFormat::Csv => transform.output_from_csv(reader, &progress_callback)?,
UpdateFormat::Json => transform.output_from_json(reader, &progress_callback)?,
UpdateFormat::JsonStream => {
transform.output_from_json_stream(reader, &progress_callback)?
}
};
let nb_documents = output.documents_count;
info!("Update transformed in {:.02?}", before_transform.elapsed());
self.execute_raw(output, progress_callback)?;
Ok(DocumentAdditionResult { nb_documents })
}
pub fn execute_raw<F>(self, output: TransformOutput, progress_callback: F) -> Result<()>
where
F: Fn(UpdateIndexingStep) + Sync,
{
let before_indexing = Instant::now();
let TransformOutput {
primary_key,
fields_ids_map,
field_distribution,
external_documents_ids,
new_documents_ids,
replaced_documents_ids,
documents_count,
documents_file,
} = output;
// We delete the documents that this document addition replaces. This way we are
// able to simply insert all the documents even if they already exist in the database.
if !replaced_documents_ids.is_empty() {
let update_builder = UpdateBuilder {
log_every_n: self.log_every_n,
max_nb_chunks: self.max_nb_chunks,
max_memory: self.max_memory,
linked_hash_map_size: self.linked_hash_map_size,
chunk_compression_type: self.chunk_compression_type,
chunk_compression_level: self.chunk_compression_level,
chunk_fusing_shrink_size: self.chunk_fusing_shrink_size,
thread_pool: self.thread_pool,
update_id: self.update_id,
};
let mut deletion_builder = update_builder.delete_documents(self.wtxn, self.index)?;
debug!("documents to delete {:?}", replaced_documents_ids);
deletion_builder.delete_documents(&replaced_documents_ids);
let deleted_documents_count = deletion_builder.execute()?;
debug!("{} documents actually deleted", deleted_documents_count);
}
if documents_count == 0 {
return Ok(());
}
let bytes = unsafe { Mmap::map(&documents_file)? };
let documents = grenad::Reader::new(bytes.as_bytes()).unwrap();
// The enum which indicates the type of the readers
// merges that are potentially done on different threads.
enum DatabaseType {
Main,
WordDocids,
WordLevel0PositionDocids,
FieldIdWordCountDocids,
FacetLevel0NumbersDocids,
}
let faceted_fields = self.index.faceted_fields_ids(self.wtxn)?;
let searchable_fields: HashSet<_> = match self.index.searchable_fields_ids(self.wtxn)? {
Some(fields) => fields.iter().copied().collect(),
None => fields_ids_map.iter().map(|(id, _name)| id).collect(),
};
let stop_words = self.index.stop_words(self.wtxn)?;
let stop_words = stop_words.as_ref();
let linked_hash_map_size = self.linked_hash_map_size;
let max_nb_chunks = self.max_nb_chunks;
let max_memory = self.max_memory;
let chunk_compression_type = self.chunk_compression_type;
let chunk_compression_level = self.chunk_compression_level;
let log_every_n = self.log_every_n;
let chunk_fusing_shrink_size = self.chunk_fusing_shrink_size;
let backup_pool;
let pool = match self.thread_pool {
Some(pool) => pool,
None => {
// We initialize a bakcup pool with the default
// settings if none have already been set.
backup_pool = rayon::ThreadPoolBuilder::new().build()?;
&backup_pool
}
};
let readers = pool.install(|| {
let num_threads = rayon::current_num_threads();
let max_memory_by_job = max_memory.map(|mm| mm / num_threads);
let readers = rayon::iter::repeatn(documents, num_threads)
.enumerate()
.map(|(i, documents)| {
let store = Store::new(
searchable_fields.clone(),
faceted_fields.clone(),
linked_hash_map_size,
max_nb_chunks,
max_memory_by_job,
chunk_compression_type,
chunk_compression_level,
chunk_fusing_shrink_size,
stop_words,
)?;
store.index(
documents,
documents_count,
i,
num_threads,
log_every_n,
&progress_callback,
)
})
.collect::<StdResult<Vec<_>, _>>()?;
let mut main_readers = Vec::with_capacity(readers.len());
let mut word_docids_readers = Vec::with_capacity(readers.len());
let mut docid_word_positions_readers = Vec::with_capacity(readers.len());
let mut words_pairs_proximities_docids_readers = Vec::with_capacity(readers.len());
let mut word_level_position_docids_readers = Vec::with_capacity(readers.len());
let mut field_id_word_count_docids_readers = Vec::with_capacity(readers.len());
let mut facet_field_numbers_docids_readers = Vec::with_capacity(readers.len());
let mut facet_field_strings_docids_readers = Vec::with_capacity(readers.len());
let mut field_id_docid_facet_numbers_readers = Vec::with_capacity(readers.len());
let mut field_id_docid_facet_strings_readers = Vec::with_capacity(readers.len());
let mut documents_readers = Vec::with_capacity(readers.len());
readers.into_iter().for_each(|readers| {
let Readers {
main,
word_docids,
docid_word_positions,
words_pairs_proximities_docids,
word_level_position_docids,
field_id_word_count_docids,
facet_field_numbers_docids,
facet_field_strings_docids,
field_id_docid_facet_numbers,
field_id_docid_facet_strings,
documents,
} = readers;
main_readers.push(main);
word_docids_readers.push(word_docids);
docid_word_positions_readers.push(docid_word_positions);
words_pairs_proximities_docids_readers.push(words_pairs_proximities_docids);
word_level_position_docids_readers.push(word_level_position_docids);
field_id_word_count_docids_readers.push(field_id_word_count_docids);
facet_field_numbers_docids_readers.push(facet_field_numbers_docids);
facet_field_strings_docids_readers.push(facet_field_strings_docids);
field_id_docid_facet_numbers_readers.push(field_id_docid_facet_numbers);
field_id_docid_facet_strings_readers.push(field_id_docid_facet_strings);
documents_readers.push(documents);
});
// This is the function that merge the readers
// by using the given merge function.
let merge_readers = move |readers, merge| {
let mut writer = tempfile::tempfile().and_then(|f| {
create_writer(chunk_compression_type, chunk_compression_level, f)
})?;
let merger = merge_readers(readers, merge);
merger.write_into(&mut writer)?;
writer_into_reader(writer, chunk_fusing_shrink_size)
};
// The enum and the channel which is used to transfert
// the readers merges potentially done on another thread.
let (sender, receiver) = sync_channel(2);
debug!("Merging the main, word docids and words pairs proximity docids in parallel...");
rayon::spawn(move || {
vec![
(DatabaseType::Main, main_readers, fst_merge as MergeFn<_>),
(DatabaseType::WordDocids, word_docids_readers, roaring_bitmap_merge),
(
DatabaseType::FacetLevel0NumbersDocids,
facet_field_numbers_docids_readers,
cbo_roaring_bitmap_merge,
),
(
DatabaseType::WordLevel0PositionDocids,
word_level_position_docids_readers,
cbo_roaring_bitmap_merge,
),
(
DatabaseType::FieldIdWordCountDocids,
field_id_word_count_docids_readers,
cbo_roaring_bitmap_merge,
),
]
.into_par_iter()
.for_each(|(dbtype, readers, merge)| {
let result = merge_readers(readers, merge);
if let Err(e) = sender.send((dbtype, result)) {
error!("sender error: {}", e);
}
});
});
Ok((
receiver,
docid_word_positions_readers,
documents_readers,
words_pairs_proximities_docids_readers,
facet_field_strings_docids_readers,
field_id_docid_facet_numbers_readers,
field_id_docid_facet_strings_readers,
)) as Result<_>
})?;
let (
receiver,
docid_word_positions_readers,
documents_readers,
words_pairs_proximities_docids_readers,
facet_field_strings_docids_readers,
field_id_docid_facet_numbers_readers,
field_id_docid_facet_strings_readers,
) = readers;
let mut documents_ids = self.index.documents_ids(self.wtxn)?;
let contains_documents = !documents_ids.is_empty();
let write_method =
if contains_documents { WriteMethod::GetMergePut } else { WriteMethod::Append };
debug!("Writing using the write method: {:?}", write_method);
// We write the fields ids map into the main database
self.index.put_fields_ids_map(self.wtxn, &fields_ids_map)?;
// We write the field distribution into the main database
self.index.put_field_distribution(self.wtxn, &field_distribution)?;
// We write the primary key field id into the main database
self.index.put_primary_key(self.wtxn, &primary_key)?;
// We write the external documents ids into the main database.
self.index.put_external_documents_ids(self.wtxn, &external_documents_ids)?;
// We merge the new documents ids with the existing ones.
documents_ids |= new_documents_ids;
documents_ids |= replaced_documents_ids;
self.index.put_documents_ids(self.wtxn, &documents_ids)?;
let mut database_count = 0;
let total_databases = 11;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: 0,
total_databases,
});
debug!("Inserting the docid word positions into LMDB on disk...");
merge_into_lmdb_database(
self.wtxn,
*self.index.docid_word_positions.as_polymorph(),
docid_word_positions_readers,
keep_first,
write_method,
)?;
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
total_databases,
});
debug!("Inserting the documents into LMDB on disk...");
merge_into_lmdb_database(
self.wtxn,
*self.index.documents.as_polymorph(),
documents_readers,
keep_first,
write_method,
)?;
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
total_databases,
});
debug!("Writing the facet id string docids into LMDB on disk...");
merge_into_lmdb_database(
self.wtxn,
*self.index.facet_id_string_docids.as_polymorph(),
facet_field_strings_docids_readers,
tuple_string_cbo_roaring_bitmap_merge,
write_method,
)?;
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
total_databases,
});
debug!("Writing the field id docid facet numbers into LMDB on disk...");
merge_into_lmdb_database(
self.wtxn,
*self.index.field_id_docid_facet_f64s.as_polymorph(),
field_id_docid_facet_numbers_readers,
keep_first,
write_method,
)?;
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
total_databases,
});
debug!("Writing the field id docid facet strings into LMDB on disk...");
merge_into_lmdb_database(
self.wtxn,
*self.index.field_id_docid_facet_strings.as_polymorph(),
field_id_docid_facet_strings_readers,
keep_first,
write_method,
)?;
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
total_databases,
});
debug!("Writing the words pairs proximities docids into LMDB on disk...");
merge_into_lmdb_database(
self.wtxn,
*self.index.word_pair_proximity_docids.as_polymorph(),
words_pairs_proximities_docids_readers,
cbo_roaring_bitmap_merge,
write_method,
)?;
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
total_databases,
});
for (db_type, result) in receiver {
let content = result?;
match db_type {
DatabaseType::Main => {
debug!("Writing the main elements into LMDB on disk...");
write_into_lmdb_database(
self.wtxn,
self.index.main,
content,
fst_merge,
WriteMethod::GetMergePut,
)?;
}
DatabaseType::WordDocids => {
debug!("Writing the words docids into LMDB on disk...");
let db = *self.index.word_docids.as_polymorph();
write_into_lmdb_database(
self.wtxn,
db,
content,
roaring_bitmap_merge,
write_method,
)?;
}
DatabaseType::FacetLevel0NumbersDocids => {
debug!("Writing the facet numbers docids into LMDB on disk...");
let db = *self.index.facet_id_f64_docids.as_polymorph();
write_into_lmdb_database(
self.wtxn,
db,
content,
cbo_roaring_bitmap_merge,
write_method,
)?;
}
DatabaseType::FieldIdWordCountDocids => {
debug!("Writing the field id word count docids into LMDB on disk...");
let db = *self.index.field_id_word_count_docids.as_polymorph();
write_into_lmdb_database(
self.wtxn,
db,
content,
cbo_roaring_bitmap_merge,
write_method,
)?;
}
DatabaseType::WordLevel0PositionDocids => {
debug!("Writing the word level 0 positions docids into LMDB on disk...");
let db = *self.index.word_level_position_docids.as_polymorph();
write_into_lmdb_database(
self.wtxn,
db,
content,
cbo_roaring_bitmap_merge,
write_method,
)?;
}
}
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
total_databases,
});
}
// Run the facets update operation.
let mut builder = Facets::new(self.wtxn, self.index, self.update_id);
builder.chunk_compression_type = self.chunk_compression_type;
builder.chunk_compression_level = self.chunk_compression_level;
builder.chunk_fusing_shrink_size = self.chunk_fusing_shrink_size;
if let Some(value) = self.facet_level_group_size {
builder.level_group_size(value);
}
if let Some(value) = self.facet_min_level_size {
builder.min_level_size(value);
}
builder.execute()?;
// Run the words prefixes update operation.
let mut builder = WordsPrefixesFst::new(self.wtxn, self.index, self.update_id);
if let Some(value) = self.words_prefix_threshold {
builder.threshold(value);
}
if let Some(value) = self.max_prefix_length {
builder.max_prefix_length(value);
}
builder.execute()?;
// Run the word prefix docids update operation.
let mut builder = WordPrefixDocids::new(self.wtxn, self.index);
builder.chunk_compression_type = self.chunk_compression_type;
builder.chunk_compression_level = self.chunk_compression_level;
builder.chunk_fusing_shrink_size = self.chunk_fusing_shrink_size;
builder.max_nb_chunks = self.max_nb_chunks;
builder.max_memory = self.max_memory;
builder.execute()?;
// Run the word prefix pair proximity docids update operation.
let mut builder = WordPrefixPairProximityDocids::new(self.wtxn, self.index);
builder.chunk_compression_type = self.chunk_compression_type;
builder.chunk_compression_level = self.chunk_compression_level;
builder.chunk_fusing_shrink_size = self.chunk_fusing_shrink_size;
builder.max_nb_chunks = self.max_nb_chunks;
builder.max_memory = self.max_memory;
builder.execute()?;
// Run the words level positions update operation.
let mut builder = WordsLevelPositions::new(self.wtxn, self.index);
builder.chunk_compression_type = self.chunk_compression_type;
builder.chunk_compression_level = self.chunk_compression_level;
builder.chunk_fusing_shrink_size = self.chunk_fusing_shrink_size;
if let Some(value) = self.words_positions_level_group_size {
builder.level_group_size(value);
}
if let Some(value) = self.words_positions_min_level_size {
builder.min_level_size(value);
}
builder.execute()?;
debug_assert_eq!(database_count, total_databases);
info!("Transform output indexed in {:.02?}", before_indexing.elapsed());
Ok(())
}
}
#[cfg(test)]
mod tests {
use std::io::Cursor;
use big_s::S;
use heed::EnvOpenOptions;
use super::*;
use crate::update::DeleteDocuments;
use crate::HashMap;
#[test]
fn simple_document_replacement() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with ids from 1 to 3.
let mut wtxn = index.write_txn().unwrap();
let content = &b"id,name\n1,kevin\n2,kevina\n3,benoit\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is 3 documents now.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 3);
drop(rtxn);
// Second we send 1 document with id 1, to erase the previous ones.
let mut wtxn = index.write_txn().unwrap();
let content = &b"id,name\n1,updated kevin\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 1);
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is **always** 3 documents.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 3);
drop(rtxn);
// Third we send 3 documents again to replace the existing ones.
let mut wtxn = index.write_txn().unwrap();
let content = &b"id,name\n1,updated second kevin\n2,updated kevina\n3,updated benoit\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 2);
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is **always** 3 documents.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 3);
drop(rtxn);
}
#[test]
fn simple_document_merge() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with duplicate ids and
// change the index method to merge documents.
let mut wtxn = index.write_txn().unwrap();
let content = &b"id,name\n1,kevin\n1,kevina\n1,benoit\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Csv);
builder.index_documents_method(IndexDocumentsMethod::UpdateDocuments);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is only 1 document now.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 1);
// Check that we get only one document from the database.
let docs = index.documents(&rtxn, Some(0)).unwrap();
assert_eq!(docs.len(), 1);
let (id, doc) = docs[0];
assert_eq!(id, 0);
// Check that this document is equal to the last one sent.
let mut doc_iter = doc.iter();
assert_eq!(doc_iter.next(), Some((0, &br#""1""#[..])));
assert_eq!(doc_iter.next(), Some((1, &br#""benoit""#[..])));
assert_eq!(doc_iter.next(), None);
drop(rtxn);
// Second we send 1 document with id 1, to force it to be merged with the previous one.
let mut wtxn = index.write_txn().unwrap();
let content = &b"id,age\n1,25\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 1);
builder.update_format(UpdateFormat::Csv);
builder.index_documents_method(IndexDocumentsMethod::UpdateDocuments);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is **always** 1 document.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 1);
// Check that we get only one document from the database.
let docs = index.documents(&rtxn, Some(0)).unwrap();
assert_eq!(docs.len(), 1);
let (id, doc) = docs[0];
assert_eq!(id, 0);
// Check that this document is equal to the last one sent.
let mut doc_iter = doc.iter();
assert_eq!(doc_iter.next(), Some((0, &br#""1""#[..])));
assert_eq!(doc_iter.next(), Some((1, &br#""benoit""#[..])));
assert_eq!(doc_iter.next(), Some((2, &br#""25""#[..])));
assert_eq!(doc_iter.next(), None);
drop(rtxn);
}
#[test]
fn not_auto_generated_csv_documents_ids() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with ids from 1 to 3.
let mut wtxn = index.write_txn().unwrap();
let content = &b"name\nkevin\nkevina\nbenoit\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Csv);
assert!(builder.execute(content, |_, _| ()).is_err());
wtxn.commit().unwrap();
// Check that there is no document.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 0);
drop(rtxn);
}
#[test]
fn not_auto_generated_json_documents_ids() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents and 2 without ids.
let mut wtxn = index.write_txn().unwrap();
let content = &br#"[
{ "name": "kevina", "id": 21 },
{ "name": "kevin" },
{ "name": "benoit" }
]"#[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Json);
assert!(builder.execute(content, |_, _| ()).is_err());
wtxn.commit().unwrap();
// Check that there is no document.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 0);
drop(rtxn);
}
#[test]
fn simple_auto_generated_documents_ids() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with ids from 1 to 3.
let mut wtxn = index.write_txn().unwrap();
let content = &b"name\nkevin\nkevina\nbenoit\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.enable_autogenerate_docids();
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is 3 documents now.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 3);
let docs = index.documents(&rtxn, vec![0, 1, 2]).unwrap();
let (_id, obkv) = docs.iter().find(|(_id, kv)| kv.get(0) == Some(br#""kevin""#)).unwrap();
let kevin_uuid: String = serde_json::from_slice(&obkv.get(1).unwrap()).unwrap();
drop(rtxn);
// Second we send 1 document with the generated uuid, to erase the previous ones.
let mut wtxn = index.write_txn().unwrap();
let content = format!("id,name\n{},updated kevin", kevin_uuid);
let mut builder = IndexDocuments::new(&mut wtxn, &index, 1);
builder.update_format(UpdateFormat::Csv);
builder.execute(content.as_bytes(), |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is **always** 3 documents.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 3);
let docs = index.documents(&rtxn, vec![0, 1, 2]).unwrap();
let (kevin_id, _) =
docs.iter().find(|(_, d)| d.get(0).unwrap() == br#""updated kevin""#).unwrap();
let (id, doc) = docs[*kevin_id as usize];
assert_eq!(id, *kevin_id);
// Check that this document is equal to the last
// one sent and that an UUID has been generated.
assert_eq!(doc.get(0), Some(&br#""updated kevin""#[..]));
// This is an UUID, it must be 36 bytes long plus the 2 surrounding string quotes (").
assert_eq!(doc.get(1).unwrap().len(), 36 + 2);
drop(rtxn);
}
#[test]
fn reordered_auto_generated_documents_ids() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with ids from 1 to 3.
let mut wtxn = index.write_txn().unwrap();
let content = &b"id,name\n1,kevin\n2,kevina\n3,benoit\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is 3 documents now.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 3);
drop(rtxn);
// Second we send 1 document without specifying the id.
let mut wtxn = index.write_txn().unwrap();
let content = &b"name\nnew kevin"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 1);
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is 4 documents now.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 4);
drop(rtxn);
}
#[test]
fn empty_csv_update() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 0 documents and only headers.
let mut wtxn = index.write_txn().unwrap();
let content = &b"id,name\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is no documents.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 0);
drop(rtxn);
}
#[test]
fn json_documents() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with an id for only one of them.
let mut wtxn = index.write_txn().unwrap();
let content = &br#"[
{ "name": "kevin" },
{ "name": "kevina", "id": 21 },
{ "name": "benoit" }
]"#[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.enable_autogenerate_docids();
builder.update_format(UpdateFormat::Json);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is 3 documents now.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 3);
drop(rtxn);
}
#[test]
fn empty_json_update() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 0 documents.
let mut wtxn = index.write_txn().unwrap();
let content = &b"[]"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.enable_autogenerate_docids();
builder.update_format(UpdateFormat::Json);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is no documents.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 0);
drop(rtxn);
}
#[test]
fn json_stream_documents() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with an id for only one of them.
let mut wtxn = index.write_txn().unwrap();
let content = &br#"
{ "name": "kevin" }
{ "name": "kevina", "id": 21 }
{ "name": "benoit" }
"#[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.enable_autogenerate_docids();
builder.update_format(UpdateFormat::JsonStream);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is 3 documents now.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 3);
drop(rtxn);
}
#[test]
fn invalid_documents_ids() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 1 document with an invalid id.
let mut wtxn = index.write_txn().unwrap();
// There is a space in the document id.
let content = &b"id,name\nbrume bleue,kevin\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Csv);
assert!(builder.execute(content, |_, _| ()).is_err());
wtxn.commit().unwrap();
// First we send 1 document with a valid id.
let mut wtxn = index.write_txn().unwrap();
// There is a space in the document id.
let content = &b"id,name\n32,kevin\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 1);
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is 1 document now.
let rtxn = index.read_txn().unwrap();
let count = index.number_of_documents(&rtxn).unwrap();
assert_eq!(count, 1);
drop(rtxn);
}
#[test]
fn complex_json_documents() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with an id for only one of them.
let mut wtxn = index.write_txn().unwrap();
let content = &br#"[
{ "id": 0, "name": "kevin", "object": { "key1": "value1", "key2": "value2" } },
{ "id": 1, "name": "kevina", "array": ["I", "am", "fine"] },
{ "id": 2, "name": "benoit", "array_of_object": [{ "wow": "amazing" }] }
]"#[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Json);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Check that there is 1 documents now.
let rtxn = index.read_txn().unwrap();
// Search for a sub object value
let result = index.search(&rtxn).query(r#""value2""#).execute().unwrap();
assert_eq!(result.documents_ids, vec![0]);
// Search for a sub array value
let result = index.search(&rtxn).query(r#""fine""#).execute().unwrap();
assert_eq!(result.documents_ids, vec![1]);
// Search for a sub array sub object key
let result = index.search(&rtxn).query(r#""wow""#).execute().unwrap();
assert_eq!(result.documents_ids, vec![2]);
drop(rtxn);
}
#[test]
fn simple_documents_replace() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with an id for only one of them.
let mut wtxn = index.write_txn().unwrap();
let documents = &r#"[
{ "id": 2, "title": "Pride and Prejudice", "author": "Jane Austin", "genre": "romance", "price": 3.5 },
{ "id": 456, "title": "Le Petit Prince", "author": "Antoine de Saint-Exupéry", "genre": "adventure" , "price": 10.0 },
{ "id": 1, "title": "Alice In Wonderland", "author": "Lewis Carroll", "genre": "fantasy", "price": 25.99 },
{ "id": 1344, "title": "The Hobbit", "author": "J. R. R. Tolkien", "genre": "fantasy" },
{ "id": 4, "title": "Harry Potter and the Half-Blood Prince", "author": "J. K. Rowling", "genre": "fantasy" },
{ "id": 42, "title": "The Hitchhiker's Guide to the Galaxy", "author": "Douglas Adams" }
]"#[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Json);
builder.index_documents_method(IndexDocumentsMethod::ReplaceDocuments);
builder.execute(Cursor::new(documents), |_, _| ()).unwrap();
wtxn.commit().unwrap();
let mut wtxn = index.write_txn().unwrap();
let mut builder = IndexDocuments::new(&mut wtxn, &index, 1);
builder.update_format(UpdateFormat::Json);
builder.index_documents_method(IndexDocumentsMethod::UpdateDocuments);
let documents = &r#"[
{
"id": 2,
"author": "J. Austen",
"date": "1813"
}
]"#[..];
builder.execute(Cursor::new(documents), |_, _| ()).unwrap();
wtxn.commit().unwrap();
}
#[test]
fn delete_documents_then_insert() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
let mut wtxn = index.write_txn().unwrap();
let content = &br#"[
{ "objectId": 123, "title": "Pride and Prejudice", "comment": "A great book" },
{ "objectId": 456, "title": "Le Petit Prince", "comment": "A french book" },
{ "objectId": 1, "title": "Alice In Wonderland", "comment": "A weird book" },
{ "objectId": 30, "title": "Hamlet" }
]"#[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Json);
builder.execute(content, |_, _| ()).unwrap();
assert_eq!(index.primary_key(&wtxn).unwrap(), Some("objectId"));
// Delete not all of the documents but some of them.
let mut builder = DeleteDocuments::new(&mut wtxn, &index, 1).unwrap();
builder.delete_external_id("30");
builder.execute().unwrap();
let external_documents_ids = index.external_documents_ids(&wtxn).unwrap();
assert!(external_documents_ids.get("30").is_none());
let content = &br#"[
{ "objectId": 30, "title": "Hamlet" }
]"#[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Json);
builder.execute(content, |_, _| ()).unwrap();
let external_documents_ids = index.external_documents_ids(&wtxn).unwrap();
assert!(external_documents_ids.get("30").is_some());
let content = &br#"[
{ "objectId": 30, "title": "Hamlet" }
]"#[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Json);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
}
#[test]
fn index_more_than_256_fields() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
let mut wtxn = index.write_txn().unwrap();
let mut big_object = HashMap::new();
big_object.insert(S("id"), "wow");
for i in 0..1000 {
let key = i.to_string();
big_object.insert(key, "I am a text!");
}
let content = vec![big_object];
let content = serde_json::to_string(&content).unwrap();
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Json);
builder.execute(Cursor::new(content), |_, _| ()).unwrap();
wtxn.commit().unwrap();
}
}