MeiliSearch/src/update/index_documents/mod.rs

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use std::borrow::Cow;
use std::collections::HashSet;
use std::fs::File;
use std::io::{self, Seek, SeekFrom};
use std::sync::mpsc::sync_channel;
use std::time::Instant;
use anyhow::Context;
use bstr::ByteSlice as _;
use grenad::{Writer, Sorter, Merger, Reader, FileFuse, CompressionType};
use heed::types::ByteSlice;
use log::{debug, info, error};
use memmap::Mmap;
use rayon::prelude::*;
use rayon::ThreadPool;
use crate::facet::FacetType;
use crate::index::Index;
use crate::update::UpdateIndexingStep;
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use self::store::{Store, Readers};
use self::merge_function::{
main_merge, word_docids_merge, words_pairs_proximities_docids_merge,
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docid_word_positions_merge, documents_merge, facet_field_value_docids_merge,
};
pub use self::transform::{Transform, TransformOutput};
pub use self::facet_level::{clear_field_levels, compute_facet_levels};
use crate::MergeFn;
use super::UpdateBuilder;
mod facet_level;
mod merge_function;
mod store;
mod transform;
#[derive(Debug, Copy, Clone)]
enum WriteMethod {
Append,
GetMergePut,
}
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)
}
fn create_sorter(
merge: MergeFn,
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>
{
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()
}
fn writer_into_reader(writer: Writer<File>, shrink_size: Option<u64>) -> anyhow::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)
}
fn merge_readers(sources: Vec<Reader<FileFuse>>, merge: MergeFn) -> Merger<FileFuse, MergeFn> {
let mut builder = Merger::builder(merge);
builder.extend(sources);
builder.build()
}
fn merge_into_lmdb_database(
wtxn: &mut heed::RwTxn,
database: heed::PolyDatabase,
sources: Vec<Reader<FileFuse>>,
merge: MergeFn,
method: WriteMethod,
) -> anyhow::Result<()> {
debug!("Merging {} MTBL stores...", sources.len());
let before = Instant::now();
let merger = merge_readers(sources, merge);
let mut in_iter = merger.into_merge_iter()?;
match method {
WriteMethod::Append => {
let mut out_iter = database.iter_mut::<_, ByteSlice, ByteSlice>(wtxn)?;
while let Some((k, v)) = in_iter.next()? {
out_iter.append(k, v).with_context(|| {
format!("writing {:?} into LMDB", k.as_bstr())
})?;
}
},
WriteMethod::GetMergePut => {
while let Some((k, v)) = in_iter.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).expect("merge failed");
iter.put_current(k, &val)?;
},
_ => {
drop(iter);
database.put::<_, ByteSlice, ByteSlice>(wtxn, k, v)?;
},
}
}
},
}
debug!("MTBL stores merged in {:.02?}!", before.elapsed());
Ok(())
}
fn write_into_lmdb_database(
wtxn: &mut heed::RwTxn,
database: heed::PolyDatabase,
mut reader: Reader<FileFuse>,
merge: MergeFn,
method: WriteMethod,
) -> anyhow::Result<()> {
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()? {
out_iter.append(k, v).with_context(|| {
format!("writing {:?} into LMDB", k.as_bstr())
})?;
}
},
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 = vec![Cow::Borrowed(old_val), Cow::Borrowed(v)];
let val = merge(k, &vals).expect("merge failed");
iter.put_current(k, &val)?;
},
_ => {
drop(iter);
database.put::<_, ByteSlice, ByteSlice>(wtxn, k, v)?;
},
}
}
}
}
debug!("MTBL stores merged in {:.02?}!", before.elapsed());
Ok(())
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
#[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)]
#[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> {
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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>,
update_method: IndexDocumentsMethod,
update_format: UpdateFormat,
autogenerate_docids: bool,
}
impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
pub fn new(wtxn: &'t mut heed::RwTxn<'i, 'u>, index: &'i Index) -> 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,
update_method: IndexDocumentsMethod::ReplaceDocuments,
update_format: UpdateFormat::Json,
autogenerate_docids: true,
}
}
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) -> anyhow::Result<()>
where
R: io::Read,
F: Fn(UpdateIndexingStep) + Sync,
{
let before_transform = Instant::now();
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.from_csv(reader, &progress_callback)?,
UpdateFormat::Json => transform.from_json(reader, &progress_callback)?,
UpdateFormat::JsonStream => transform.from_json_stream(reader, &progress_callback)?,
};
info!("Update transformed in {:.02?}", before_transform.elapsed());
self.execute_raw(output, progress_callback)
}
pub fn execute_raw<F>(self, output: TransformOutput, progress_callback: F) -> anyhow::Result<()>
where
F: Fn(UpdateIndexingStep) + Sync
{
let before_indexing = Instant::now();
let TransformOutput {
primary_key,
fields_ids_map,
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,
};
let mut deletion_builder = update_builder.delete_documents(self.wtxn, self.index)?;
deletion_builder.delete_documents(&replaced_documents_ids);
let _deleted_documents_count = deletion_builder.execute()?;
}
let mmap;
let bytes = if documents_count == 0 {
&[][..]
} else {
mmap = unsafe { Mmap::map(&documents_file).context("mmaping the transform documents file")? };
&mmap
};
let documents = grenad::Reader::new(bytes).unwrap();
// The enum which indicates the type of the readers
// merges that are potentially done on different threads.
enum DatabaseType {
Main,
WordDocids,
FacetLevel0ValuesDocids,
}
let faceted_fields = self.index.faceted_fields(self.wtxn)?;
let searchable_fields: HashSet<_> = match self.index.searchable_fields(self.wtxn)? {
Some(fields) => fields.iter().copied().collect(),
None => fields_ids_map.iter().map(|(id, _name)| id).collect(),
};
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,
)?;
store.index(
documents,
documents_count,
i,
num_threads,
log_every_n,
&progress_callback,
)
})
.collect::<Result<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());
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let mut facet_field_value_docids_readers = Vec::with_capacity(readers.len());
let mut documents_readers = Vec::with_capacity(readers.len());
readers.into_iter().for_each(|readers| {
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let Readers {
main,
word_docids,
docid_word_positions,
words_pairs_proximities_docids,
facet_field_value_docids,
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);
facet_field_value_docids_readers.push(facet_field_value_docids);
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, main_merge as MergeFn),
(DatabaseType::WordDocids, word_docids_readers, word_docids_merge),
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(
DatabaseType::FacetLevel0ValuesDocids,
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facet_field_value_docids_readers,
facet_field_value_docids_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,
)) as anyhow::Result<_>
})?;
let (
receiver,
docid_word_positions_readers,
documents_readers,
words_pairs_proximities_docids_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 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 get the faceted fields to be able to create the facet levels.
let faceted_fields = self.index.faceted_fields(self.wtxn)?;
// We merge the new documents ids with the existing ones.
documents_ids.union_with(&new_documents_ids);
documents_ids.union_with(&replaced_documents_ids);
self.index.put_documents_ids(self.wtxn, &documents_ids)?;
let mut database_count = 0;
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let total_databases = 6;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: 0,
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total_databases,
});
debug!("Writing 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,
docid_word_positions_merge,
write_method
)?;
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
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total_databases,
});
debug!("Writing the documents into LMDB on disk...");
merge_into_lmdb_database(
self.wtxn,
*self.index.documents.as_polymorph(),
documents_readers,
documents_merge,
write_method
)?;
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
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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,
words_pairs_proximities_docids_merge,
write_method,
)?;
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
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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,
main_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,
word_docids_merge,
write_method,
)?;
},
DatabaseType::FacetLevel0ValuesDocids => {
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debug!("Writing the facet values docids into LMDB on disk...");
let db = *self.index.facet_field_id_value_docids.as_polymorph();
write_into_lmdb_database(
self.wtxn,
db,
content,
facet_field_value_docids_merge,
write_method,
)?;
},
}
database_count += 1;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: database_count,
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total_databases,
});
}
debug!("Computing and writing the facet values levels docids into LMDB on disk...");
for (field_id, facet_type) in faceted_fields {
if facet_type == FacetType::String { continue }
clear_field_levels(
self.wtxn,
self.index.facet_field_id_value_docids,
field_id,
)?;
let content = compute_facet_levels(
self.wtxn,
self.index.facet_field_id_value_docids,
chunk_compression_type,
chunk_compression_level,
chunk_fusing_shrink_size,
field_id,
facet_type,
)?;
write_into_lmdb_database(
self.wtxn,
*self.index.facet_field_id_value_docids.as_polymorph(),
content,
|_, _| anyhow::bail!("invalid facet level merging"),
WriteMethod::GetMergePut,
)?;
}
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debug_assert_eq!(database_count, total_databases);
info!("Transform output indexed in {:.02?}", before_indexing.elapsed());
Ok(())
}
}
#[cfg(test)]
mod tests {
use super::*;
use heed::EnvOpenOptions;
#[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);
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);
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);
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);
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);
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);
builder.disable_autogenerate_docids();
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);
builder.disable_autogenerate_docids();
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);
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);
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!(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);
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);
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);
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);
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);
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);
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);
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);
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);
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);
}
}