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Return the original string values for the inverted facet index database

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This commit is contained in:
Clément Renault 2021-07-17 12:50:01 +02:00 committed by Kerollmops
parent 03a01166ba
commit 0227254a65
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GPG Key ID: 92ADA4E935E71FA4
15 changed files with 242 additions and 58 deletions
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4
infos/src/main.rs
View File

@ -627,14 +627,14 @@ fn facet_values_docids(
FacetType::String => {
wtr.write_record(&["facet_string", "documents_count", "documents_ids"])?;
for result in facet_values_iter(rtxn, index.facet_id_string_docids, field_id)? {
let ((_fid, value), docids) = result?;
let ((_fid, normalized), (_original, docids)) = result?;
let count = docids.len();
let docids = if debug {
format!("{:?}", docids)
} else {
format!("{:?}", docids.iter().collect::<Vec<_>>())
};
wtr.write_record(&[value.to_string(), count.to_string(), docids])?;
wtr.write_record(&[normalized.to_string(), count.to_string(), docids])?;
}
}
}

80
milli/src/heed_codec/facet/facet_string_level_zero_value_codec.rs Normal file
View File

@ -0,0 +1,80 @@
use std::borrow::Cow;
use std::convert::TryInto;
use std::{marker, str};
use super::try_split_at;
/// A codec that encodes a string in front of the value.
///
/// The usecase is for the facet string levels algorithm where we must know the
/// original string of a normalized facet value, the original values are stored
/// in the value to not break the lexicographical ordering of the LMDB keys.
pub struct FacetStringLevelZeroValueCodec<C>(marker::PhantomData<C>);
impl<'a, C> heed::BytesDecode<'a> for FacetStringLevelZeroValueCodec<C>
where
C: heed::BytesDecode<'a>,
{
type DItem = (&'a str, C::DItem);
fn bytes_decode(bytes: &'a [u8]) -> Option<Self::DItem> {
let (string_len, bytes) = try_split_at(bytes, 2)?;
let string_len = string_len.try_into().ok().map(u16::from_be_bytes)?;
let (string, bytes) = try_split_at(bytes, string_len as usize)?;
let string = str::from_utf8(string).ok()?;
C::bytes_decode(bytes).map(|item| (string, item))
}
}
impl<'a, C> heed::BytesEncode<'a> for FacetStringLevelZeroValueCodec<C>
where
C: heed::BytesEncode<'a>,
{
type EItem = (&'a str, C::EItem);
fn bytes_encode((string, value): &'a Self::EItem) -> Option<Cow<[u8]>> {
let string_len: u16 = string.len().try_into().ok()?;
let value_bytes = C::bytes_encode(&value)?;
let mut bytes = Vec::with_capacity(2 + string.len() + value_bytes.len());
bytes.extend_from_slice(&string_len.to_be_bytes());
bytes.extend_from_slice(string.as_bytes());
bytes.extend_from_slice(&value_bytes[..]);
Some(Cow::Owned(bytes))
}
}
#[cfg(test)]
mod tests {
use heed::types::Unit;
use heed::{BytesDecode, BytesEncode};
use roaring::RoaringBitmap;
use super::*;
use crate::CboRoaringBitmapCodec;
#[test]
fn deserialize_roaring_bitmaps() {
let string = "abc";
let docids: RoaringBitmap = (0..100).chain(3500..4398).collect();
let key = (string, docids.clone());
let bytes =
FacetStringLevelZeroValueCodec::<CboRoaringBitmapCodec>::bytes_encode(&key).unwrap();
let (out_string, out_docids) =
FacetStringLevelZeroValueCodec::<CboRoaringBitmapCodec>::bytes_decode(&bytes).unwrap();
assert_eq!((out_string, out_docids), (string, docids));
}
#[test]
fn deserialize_unit() {
let string = "def";
let key = (string, ());
let bytes = FacetStringLevelZeroValueCodec::<Unit>::bytes_encode(&key).unwrap();
let (out_string, out_unit) =
FacetStringLevelZeroValueCodec::<Unit>::bytes_decode(&bytes).unwrap();
assert_eq!((out_string, out_unit), (string, ()));
}
}

14
milli/src/heed_codec/facet/facet_string_zero_bounds_value_codec.rs
View File

@ -2,7 +2,9 @@ use std::borrow::Cow;
use std::convert::TryInto;
use std::{marker, str};
/// A codec that encodes two strings in front of the value.
use super::try_split_at;
/// A codec that optionally encodes two strings in front of the value.
///
/// The usecase is for the facet string levels algorithm where we must
/// know the origin of a group, the group left and right bounds are stored
@ -79,16 +81,6 @@ where
}
}
/// Tries to split a slice in half at the given middle point,
/// `None` if the slice is too short.
fn try_split_at(slice: &[u8], mid: usize) -> Option<(&[u8], &[u8])> {
if slice.len() >= mid {
Some(slice.split_at(mid))
} else {
None
}
}
#[cfg(test)]
mod tests {
use heed::types::Unit;

12
milli/src/heed_codec/facet/mod.rs
View File

@ -1,6 +1,7 @@
mod facet_level_value_f64_codec;
mod facet_level_value_u32_codec;
mod facet_string_level_zero_codec;
mod facet_string_level_zero_value_codec;
mod facet_string_zero_bounds_value_codec;
mod field_doc_id_facet_f64_codec;
mod field_doc_id_facet_string_codec;
@ -8,6 +9,17 @@ mod field_doc_id_facet_string_codec;
pub use self::facet_level_value_f64_codec::FacetLevelValueF64Codec;
pub use self::facet_level_value_u32_codec::FacetLevelValueU32Codec;
pub use self::facet_string_level_zero_codec::FacetStringLevelZeroCodec;
pub use self::facet_string_level_zero_value_codec::FacetStringLevelZeroValueCodec;
pub use self::facet_string_zero_bounds_value_codec::FacetStringZeroBoundsValueCodec;
pub use self::field_doc_id_facet_f64_codec::FieldDocIdFacetF64Codec;
pub use self::field_doc_id_facet_string_codec::FieldDocIdFacetStringCodec;
/// Tries to split a slice in half at the given middle point,
/// `None` if the slice is too short.
pub fn try_split_at(slice: &[u8], mid: usize) -> Option<(&[u8], &[u8])> {
if slice.len() >= mid {
Some(slice.split_at(mid))
} else {
None
}
}

9
milli/src/index.rs
View File

@ -11,8 +11,8 @@ use roaring::RoaringBitmap;
use crate::error::{FieldIdMapMissingEntry, InternalError, UserError};
use crate::fields_ids_map::FieldsIdsMap;
use crate::heed_codec::facet::{
FacetLevelValueF64Codec, FacetStringLevelZeroCodec, FieldDocIdFacetF64Codec,
FieldDocIdFacetStringCodec,
FacetLevelValueF64Codec, FacetStringLevelZeroCodec, FacetStringLevelZeroValueCodec,
FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec,
};
use crate::{
default_criteria, BEU32StrCodec, BoRoaringBitmapCodec, CboRoaringBitmapCodec, Criterion,
@ -90,8 +90,9 @@ pub struct Index {
/// Maps the facet field id, level and the number with the docids that corresponds to it.
pub facet_id_f64_docids: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
/// Maps the facet field id and the string with the docids that corresponds to it.
pub facet_id_string_docids: Database<FacetStringLevelZeroCodec, CboRoaringBitmapCodec>,
/// Maps the facet field id and the string with the original string and docids that corresponds to it.
pub facet_id_string_docids:
Database<FacetStringLevelZeroCodec, FacetStringLevelZeroValueCodec<CboRoaringBitmapCodec>>,
/// Maps the document id, the facet field id and the numbers.
pub field_id_docid_facet_f64s: Database<FieldDocIdFacetF64Codec, Unit>,

11
milli/src/search/distinct/facet_distinct.rs
View File

@ -1,5 +1,6 @@
use std::mem::size_of;
use concat_arrays::concat_arrays;
use heed::types::{ByteSlice, Str, Unit};
use roaring::RoaringBitmap;
@ -43,7 +44,10 @@ pub struct FacetDistinctIter<'a> {
impl<'a> FacetDistinctIter<'a> {
fn facet_string_docids(&self, key: &str) -> heed::Result<Option<RoaringBitmap>> {
self.index.facet_id_string_docids.get(self.txn, &(self.distinct, key))
self.index
.facet_id_string_docids
.get(self.txn, &(self.distinct, key))
.map(|result| result.map(|(_original, docids)| docids))
}
fn facet_number_docids(&self, key: f64) -> heed::Result<Option<RoaringBitmap>> {
@ -116,10 +120,7 @@ impl<'a> FacetDistinctIter<'a> {
}
fn facet_values_prefix_key(distinct: FieldId, id: DocumentId) -> [u8; FID_SIZE + DOCID_SIZE] {
let mut key = [0; FID_SIZE + DOCID_SIZE];
key[0..FID_SIZE].copy_from_slice(&distinct.to_be_bytes());
key[FID_SIZE..].copy_from_slice(&id.to_be_bytes());
key
concat_arrays!(distinct.to_be_bytes(), id.to_be_bytes())
}
fn facet_number_values<'a>(

3
milli/src/search/distinct/mod.rs
View File

@ -47,7 +47,7 @@ mod test {
let mut documents = Vec::new();
let txts = ["toto", "titi", "tata"];
let txts = ["Toto", "Titi", "Tata"];
let cats = (1..10).map(|i| i.to_string()).collect::<Vec<_>>();
let cat_ints = (1..10).collect::<Vec<_>>();
@ -90,7 +90,6 @@ mod test {
addition.index_documents_method(IndexDocumentsMethod::ReplaceDocuments);
addition.update_format(UpdateFormat::Json);
addition.execute(JSON.to_string().as_bytes(), |_, _| ()).unwrap();
let fields_map = index.fields_ids_map(&txn).unwrap();

24
milli/src/search/facet/facet_distribution.rs
View File

@ -23,7 +23,7 @@ const MAX_VALUES_BY_FACET: usize = 1000;
/// Threshold on the number of candidates that will make
/// the system to choose between one algorithm or another.
const CANDIDATES_THRESHOLD: u64 = 35_000;
const CANDIDATES_THRESHOLD: u64 = 3000;
pub struct FacetDistribution<'a> {
facets: Option<HashSet<String>>,
@ -72,6 +72,7 @@ impl<'a> FacetDistribution<'a> {
FacetType::Number => {
let mut key_buffer: Vec<_> = field_id.to_be_bytes().iter().copied().collect();
let distribution_prelength = distribution.len();
let db = self.index.field_id_docid_facet_f64s;
for docid in candidates.into_iter() {
key_buffer.truncate(mem::size_of::<FieldId>());
@ -84,6 +85,9 @@ impl<'a> FacetDistribution<'a> {
for result in iter {
let ((_, _, value), ()) = result?;
*distribution.entry(value.to_string()).or_insert(0) += 1;
if distribution.len() - distribution_prelength == self.max_values_by_facet {
break;
}
}
}
}
@ -106,6 +110,10 @@ impl<'a> FacetDistribution<'a> {
.entry(normalized_value)
.or_insert_with(|| (original_value, 0));
*count += 1;
if normalized_distribution.len() == self.max_values_by_facet {
break;
}
}
}
@ -154,10 +162,10 @@ impl<'a> FacetDistribution<'a> {
FacetStringIter::new_non_reducing(self.rtxn, self.index, field_id, candidates.clone())?;
for result in iter {
let (value, mut docids) = result?;
let (_normalized, original, mut docids) = result?;
docids &= candidates;
if !docids.is_empty() {
distribution.insert(value.to_string(), docids.len());
distribution.insert(original.to_string(), docids.len());
}
if distribution.len() == self.max_values_by_facet {
break;
@ -193,14 +201,20 @@ impl<'a> FacetDistribution<'a> {
.prefix_iter(self.rtxn, &field_id.to_be_bytes())?
.remap_key_type::<FacetStringLevelZeroCodec>();
let mut normalized_distribution = BTreeMap::new();
for result in iter {
let ((_, value), docids) = result?;
distribution.insert(value.to_string(), docids.len());
let ((_, normalized_value), (original_value, docids)) = result?;
normalized_distribution.insert(normalized_value, (original_value, docids.len()));
if distribution.len() == self.max_values_by_facet {
break;
}
}
let iter = normalized_distribution
.into_iter()
.map(|(_normalized, (original, count))| (original.to_string(), count));
distribution.extend(iter);
Ok(distribution)
}

26
milli/src/search/facet/facet_string.rs
View File

@ -135,7 +135,8 @@ use heed::{Database, LazyDecode, RoRange};
use roaring::RoaringBitmap;
use crate::heed_codec::facet::{
FacetLevelValueU32Codec, FacetStringLevelZeroCodec, FacetStringZeroBoundsValueCodec,
FacetLevelValueU32Codec, FacetStringLevelZeroCodec, FacetStringLevelZeroValueCodec,
FacetStringZeroBoundsValueCodec,
};
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::{FieldId, Index};
@ -209,7 +210,11 @@ impl<'t> Iterator for FacetStringGroupRange<'t> {
///
/// It yields the facet string and the roaring bitmap associated with it.
pub struct FacetStringLevelZeroRange<'t> {
iter: RoRange<'t, FacetStringLevelZeroCodec, CboRoaringBitmapCodec>,
iter: RoRange<
't,
FacetStringLevelZeroCodec,
FacetStringLevelZeroValueCodec<CboRoaringBitmapCodec>,
>,
}
impl<'t> FacetStringLevelZeroRange<'t> {
@ -252,18 +257,23 @@ impl<'t> FacetStringLevelZeroRange<'t> {
let iter = db
.remap_key_type::<ByteSlice>()
.range(rtxn, &(left_bound, right_bound))?
.remap_types::<FacetStringLevelZeroCodec, CboRoaringBitmapCodec>();
.remap_types::<
FacetStringLevelZeroCodec,
FacetStringLevelZeroValueCodec<CboRoaringBitmapCodec>
>();
Ok(FacetStringLevelZeroRange { iter })
}
}
impl<'t> Iterator for FacetStringLevelZeroRange<'t> {
type Item = heed::Result<(&'t str, RoaringBitmap)>;
type Item = heed::Result<(&'t str, &'t str, RoaringBitmap)>;
fn next(&mut self) -> Option<Self::Item> {
match self.iter.next() {
Some(Ok(((_fid, value), docids))) => Some(Ok((value, docids))),
Some(Ok(((_fid, normalized), (original, docids)))) => {
Some(Ok((normalized, original, docids)))
}
Some(Err(e)) => Some(Err(e)),
None => None,
}
@ -326,7 +336,7 @@ impl<'t> FacetStringIter<'t> {
}
impl<'t> Iterator for FacetStringIter<'t> {
type Item = heed::Result<(&'t str, RoaringBitmap)>;
type Item = heed::Result<(&'t str, &'t str, RoaringBitmap)>;
fn next(&mut self) -> Option<Self::Item> {
'outer: loop {
@ -377,11 +387,11 @@ impl<'t> Iterator for FacetStringIter<'t> {
// level zero only
for result in last {
match result {
Ok((value, mut docids)) => {
Ok((normalized, original, mut docids)) => {
docids &= &*documents_ids;
if !docids.is_empty() {
*documents_ids -= &docids;
return Some(Ok((value, docids)));
return Some(Ok((normalized, original, docids)));
}
}
Err(e) => return Some(Err(e)),

12
milli/src/search/facet/filter_condition.rs
View File

@ -17,7 +17,9 @@ use self::Operator::*;
use super::parser::{FilterParser, Rule, PREC_CLIMBER};
use super::FacetNumberRange;
use crate::error::UserError;
use crate::heed_codec::facet::{FacetLevelValueF64Codec, FacetStringLevelZeroCodec};
use crate::heed_codec::facet::{
FacetLevelValueF64Codec, FacetStringLevelZeroCodec, FacetStringLevelZeroValueCodec,
};
use crate::{CboRoaringBitmapCodec, FieldId, FieldsIdsMap, Index, Result};
#[derive(Debug, Clone, PartialEq)]
@ -363,7 +365,10 @@ impl FilterCondition {
rtxn: &heed::RoTxn,
index: &Index,
numbers_db: heed::Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
strings_db: heed::Database<FacetStringLevelZeroCodec, CboRoaringBitmapCodec>,
strings_db: heed::Database<
FacetStringLevelZeroCodec,
FacetStringLevelZeroValueCodec<CboRoaringBitmapCodec>,
>,
field_id: FieldId,
operator: &Operator,
) -> Result<RoaringBitmap> {
@ -374,7 +379,8 @@ impl FilterCondition {
GreaterThan(val) => (Excluded(*val), Included(f64::MAX)),
GreaterThanOrEqual(val) => (Included(*val), Included(f64::MAX)),
Equal(number, string) => {
let string_docids = strings_db.get(rtxn, &(field_id, &string))?.unwrap_or_default();
let (_original_value, string_docids) =
strings_db.get(rtxn, &(field_id, &string))?.unwrap_or_default();
let number_docids = match number {
Some(n) => {
let n = Included(*n);

33
milli/src/update/delete_documents.rs
View File

@ -9,6 +9,7 @@ use serde_json::Value;
use super::ClearDocuments;
use crate::error::{FieldIdMapMissingEntry, InternalError, UserError};
use crate::heed_codec::facet::FacetStringLevelZeroValueCodec;
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::index::{db_name, main_key};
use crate::{DocumentId, ExternalDocumentsIds, FieldId, Index, Result, SmallString32, BEU32};
@ -374,13 +375,13 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
drop(iter);
// We delete the documents ids that are under the facet field id values.
remove_docids_from_facet_field_id_value_docids(
remove_docids_from_facet_field_id_number_docids(
self.wtxn,
facet_id_f64_docids,
&self.documents_ids,
)?;
remove_docids_from_facet_field_id_value_docids(
remove_docids_from_facet_field_id_string_docids(
self.wtxn,
facet_id_string_docids,
&self.documents_ids,
@ -447,7 +448,33 @@ where
Ok(())
}
fn remove_docids_from_facet_field_id_value_docids<'a, C>(
fn remove_docids_from_facet_field_id_string_docids<'a, C>(
wtxn: &'a mut heed::RwTxn,
db: &heed::Database<C, FacetStringLevelZeroValueCodec<CboRoaringBitmapCodec>>,
to_remove: &RoaringBitmap,
) -> heed::Result<()>
where
C: heed::BytesDecode<'a> + heed::BytesEncode<'a>,
{
let mut iter = db.remap_key_type::<ByteSlice>().iter_mut(wtxn)?;
while let Some(result) = iter.next() {
let (bytes, (original_value, mut docids)) = result?;
let previous_len = docids.len();
docids -= to_remove;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
} else if docids.len() != previous_len {
let bytes = bytes.to_owned();
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&bytes, &(original_value, docids))? };
}
}
Ok(())
}
fn remove_docids_from_facet_field_id_number_docids<'a, C>(
wtxn: &'a mut heed::RwTxn,
db: &heed::Database<C, CboRoaringBitmapCodec>,
to_remove: &RoaringBitmap,

30
milli/src/update/facets.rs
View File

@ -12,7 +12,7 @@ use roaring::RoaringBitmap;
use crate::error::InternalError;
use crate::heed_codec::facet::{
FacetLevelValueF64Codec, FacetLevelValueU32Codec, FacetStringLevelZeroCodec,
FacetStringZeroBoundsValueCodec,
FacetStringLevelZeroValueCodec, FacetStringZeroBoundsValueCodec,
};
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::update::index_documents::{
@ -75,7 +75,7 @@ impl<'t, 'u, 'i> Facets<'t, 'u, 'i> {
)?;
// Compute and store the faceted strings documents ids.
let string_documents_ids = compute_faceted_documents_ids(
let string_documents_ids = compute_faceted_strings_documents_ids(
self.wtxn,
self.index.facet_id_string_docids.remap_key_type::<ByteSlice>(),
field_id,
@ -96,7 +96,7 @@ impl<'t, 'u, 'i> Facets<'t, 'u, 'i> {
clear_field_number_levels(self.wtxn, self.index.facet_id_f64_docids, field_id)?;
// Compute and store the faceted numbers documents ids.
let number_documents_ids = compute_faceted_documents_ids(
let number_documents_ids = compute_faceted_numbers_documents_ids(
self.wtxn,
self.index.facet_id_f64_docids.remap_key_type::<ByteSlice>(),
field_id,
@ -237,13 +237,26 @@ fn write_number_entry(
Ok(())
}
fn compute_faceted_documents_ids(
fn compute_faceted_strings_documents_ids(
rtxn: &heed::RoTxn,
db: heed::Database<ByteSlice, FacetStringLevelZeroValueCodec<CboRoaringBitmapCodec>>,
field_id: FieldId,
) -> Result<RoaringBitmap> {
let mut documents_ids = RoaringBitmap::new();
for result in db.prefix_iter(rtxn, &field_id.to_be_bytes())? {
let (_key, (_original_value, docids)) = result?;
documents_ids |= docids;
}
Ok(documents_ids)
}
fn compute_faceted_numbers_documents_ids(
rtxn: &heed::RoTxn,
db: heed::Database<ByteSlice, CboRoaringBitmapCodec>,
field_id: FieldId,
) -> Result<RoaringBitmap> {
let mut documents_ids = RoaringBitmap::new();
for result in db.prefix_iter(rtxn, &field_id.to_be_bytes())? {
let (_key, docids) = result?;
documents_ids |= docids;
@ -265,7 +278,10 @@ fn clear_field_string_levels<'t>(
fn compute_facet_string_levels<'t>(
rtxn: &'t heed::RoTxn,
db: heed::Database<FacetStringLevelZeroCodec, CboRoaringBitmapCodec>,
db: heed::Database<
FacetStringLevelZeroCodec,
FacetStringLevelZeroValueCodec<CboRoaringBitmapCodec>,
>,
compression_type: CompressionType,
compression_level: Option<u32>,
shrink_size: Option<u64>,
@ -299,7 +315,7 @@ fn compute_facet_string_levels<'t>(
// Because we know the size of the level 0 we can use a range iterator that starts
// at the first value of the level and goes to the last by simply counting.
for (i, result) in db.range(rtxn, &((field_id, "")..))?.take(first_level_size).enumerate() {
let ((_field_id, value), docids) = result?;
let ((_field_id, value), (_original_value, docids)) = result?;
if i == 0 {
left = (i as u32, value);

23
milli/src/update/index_documents/merge_function.rs
View File

@ -2,8 +2,11 @@ use std::borrow::Cow;
use std::result::Result as StdResult;
use fst::IntoStreamer;
use heed::{BytesDecode, BytesEncode};
use roaring::RoaringBitmap;
use crate::error::SerializationError;
use crate::heed_codec::facet::FacetStringLevelZeroValueCodec;
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::Result;
@ -69,6 +72,26 @@ pub fn roaring_bitmap_merge(_key: &[u8], values: &[Cow<[u8]>]) -> Result<Vec<u8>
Ok(vec)
}
/// Uses the FacetStringLevelZeroValueCodec to merge the values.
pub fn tuple_string_cbo_roaring_bitmap_merge(_key: &[u8], values: &[Cow<[u8]>]) -> Result<Vec<u8>> {
let (head, tail) = values.split_first().unwrap();
let (head_string, mut head_rb) =
FacetStringLevelZeroValueCodec::<CboRoaringBitmapCodec>::bytes_decode(&head[..])
.ok_or(SerializationError::Decoding { db_name: None })?;
for value in tail {
let (_string, rb) =
FacetStringLevelZeroValueCodec::<CboRoaringBitmapCodec>::bytes_decode(&value[..])
.ok_or(SerializationError::Decoding { db_name: None })?;
head_rb |= rb;
}
FacetStringLevelZeroValueCodec::<CboRoaringBitmapCodec>::bytes_encode(&(head_string, head_rb))
.map(|cow| cow.into_owned())
.ok_or(SerializationError::Encoding { db_name: None })
.map_err(Into::into)
}
pub fn cbo_roaring_bitmap_merge(_key: &[u8], values: &[Cow<[u8]>]) -> Result<Vec<u8>> {
let (head, tail) = values.split_first().unwrap();
let mut head = CboRoaringBitmapCodec::deserialize_from(&head[..])?;

3
milli/src/update/index_documents/mod.rs
View File

@ -20,6 +20,7 @@ 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};
@ -655,7 +656,7 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
self.wtxn,
*self.index.facet_id_string_docids.as_polymorph(),
facet_field_strings_docids_readers,
cbo_roaring_bitmap_merge,
tuple_string_cbo_roaring_bitmap_merge,
write_method,
)?;

16
milli/src/update/index_documents/store.rs
View File

@ -22,12 +22,13 @@ use tempfile::tempfile;
use super::merge_function::{
cbo_roaring_bitmap_merge, fst_merge, keep_first, roaring_bitmap_merge,
tuple_string_cbo_roaring_bitmap_merge,
};
use super::{create_sorter, create_writer, writer_into_reader, MergeFn};
use crate::error::{Error, InternalError, SerializationError};
use crate::heed_codec::facet::{
FacetLevelValueF64Codec, FacetStringLevelZeroCodec, FieldDocIdFacetF64Codec,
FieldDocIdFacetStringCodec,
FacetLevelValueF64Codec, FacetStringLevelZeroCodec, FacetStringLevelZeroValueCodec,
FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec,
};
use crate::heed_codec::{BoRoaringBitmapCodec, CboRoaringBitmapCodec};
use crate::update::UpdateIndexingStep;
@ -153,7 +154,7 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
max_memory,
);
let facet_field_strings_docids_sorter = create_sorter(
cbo_roaring_bitmap_merge,
tuple_string_cbo_roaring_bitmap_merge,
chunk_compression_type,
chunk_compression_level,
chunk_fusing_shrink_size,
@ -528,17 +529,18 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
Error: From<E>,
{
let mut key_buffer = Vec::new();
let mut data_buffer = Vec::new();
for ((field_id, normalized_value), (original_value, docids)) in iter {
key_buffer.clear();
data_buffer.clear();
FacetStringLevelZeroCodec::serialize_into(field_id, &normalized_value, &mut key_buffer);
CboRoaringBitmapCodec::serialize_into(&docids, &mut data_buffer);
let data = (original_value.as_str(), docids);
let data = FacetStringLevelZeroValueCodec::<CboRoaringBitmapCodec>::bytes_encode(&data)
.ok_or(SerializationError::Encoding { db_name: Some("facet-id-string-docids") })?;
if lmdb_key_valid_size(&key_buffer) {
sorter.insert(&key_buffer, &data_buffer)?;
sorter.insert(&key_buffer, &data)?;
} else {
warn!("facet value {:?} is too large to be saved", original_value);
}