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Code Issues Releases Wiki Activity

Split the update side to use the number and the strings facet databases

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This commit is contained in:
Clément Renault 2021-04-28 17:58:16 +02:00 committed by Kerollmops
parent 038e03a4e4
commit bd7b285bae
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GPG Key ID: 92ADA4E935E71FA4
11 changed files with 406 additions and 285 deletions
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10
milli/src/criterion.rs
View File

@ -1,4 +1,4 @@
use std::collections::HashMap;
use std::collections::HashSet;
use std::fmt;
use anyhow::{Context, bail};
@ -6,8 +6,6 @@ use regex::Regex;
use serde::{Serialize, Deserialize};
use once_cell::sync::Lazy;
use crate::facet::FacetType;
static ASC_DESC_REGEX: Lazy<Regex> = Lazy::new(|| {
Regex::new(r#"(asc|desc)\(([\w_-]+)\)"#).unwrap()
});
@ -33,7 +31,7 @@ pub enum Criterion {
}
impl Criterion {
pub fn from_str(faceted_attributes: &HashMap<String, FacetType>, txt: &str) -> anyhow::Result<Criterion> {
pub fn from_str(faceted_attributes: &HashSet<String>, txt: &str) -> anyhow::Result<Criterion> {
match txt {
"words" => Ok(Criterion::Words),
"typo" => Ok(Criterion::Typo),
@ -44,7 +42,9 @@ impl Criterion {
let caps = ASC_DESC_REGEX.captures(text).with_context(|| format!("unknown criterion name: {}", text))?;
let order = caps.get(1).unwrap().as_str();
let field_name = caps.get(2).unwrap().as_str();
faceted_attributes.get(field_name).with_context(|| format!("Can't use {:?} as a criterion as it isn't a faceted field.", field_name))?;
faceted_attributes.get(field_name).with_context(|| {
format!("Can't use {:?} as a criterion as it isn't a faceted field.", field_name)
})?;
match order {
"asc" => Ok(Criterion::Asc(field_name.to_string())),
"desc" => Ok(Criterion::Desc(field_name.to_string())),

96
milli/src/index.rs
View File

@ -1,5 +1,5 @@
use std::borrow::Cow;
use std::collections::HashMap;
use std::collections::{HashMap, HashSet};
use std::path::Path;
use anyhow::Context;
@ -18,24 +18,24 @@ use crate::heed_codec::facet::{
FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec,
FacetValueStringCodec, FacetLevelValueF64Codec,
};
use crate::facet::FacetType;
use crate::fields_ids_map::FieldsIdsMap;
pub const CRITERIA_KEY: &str = "criteria";
pub const DISPLAYED_FIELDS_KEY: &str = "displayed-fields";
pub const DISTINCT_ATTRIBUTE_KEY: &str = "distinct-attribute-key";
pub const DOCUMENTS_IDS_KEY: &str = "documents-ids";
pub const FACETED_DOCUMENTS_IDS_PREFIX: &str = "faceted-documents-ids";
pub const FACETED_FIELDS_KEY: &str = "faceted-fields";
pub const FIELDS_IDS_MAP_KEY: &str = "fields-ids-map";
pub const FIELDS_DISTRIBUTION_KEY: &str = "fields-distribution";
pub const FIELDS_IDS_MAP_KEY: &str = "fields-ids-map";
pub const HARD_EXTERNAL_DOCUMENTS_IDS_KEY: &str = "hard-external-documents-ids";
pub const NUMBER_FACETED_DOCUMENTS_IDS_PREFIX: &str = "number-faceted-documents-ids";
pub const PRIMARY_KEY_KEY: &str = "primary-key";
pub const SEARCHABLE_FIELDS_KEY: &str = "searchable-fields";
pub const HARD_EXTERNAL_DOCUMENTS_IDS_KEY: &str = "hard-external-documents-ids";
pub const SOFT_EXTERNAL_DOCUMENTS_IDS_KEY: &str = "soft-external-documents-ids";
pub const WORDS_FST_KEY: &str = "words-fst";
pub const STOP_WORDS_KEY: &str = "stop-words";
pub const STRING_FACETED_DOCUMENTS_IDS_PREFIX: &str = "string-faceted-documents-ids";
pub const SYNONYMS_KEY: &str = "synonyms";
pub const WORDS_FST_KEY: &str = "words-fst";
pub const WORDS_PREFIXES_FST_KEY: &str = "words-prefixes-fst";
const CREATED_AT_KEY: &str = "created-at";
const UPDATED_AT_KEY: &str = "updated-at";
@ -321,53 +321,97 @@ impl Index {
/* faceted fields */
/// Writes the facet fields associated with their facet type or `None` if
/// the facet type is currently unknown.
pub fn put_faceted_fields(&self, wtxn: &mut RwTxn, fields_types: &HashMap<String, FacetType>) -> heed::Result<()> {
self.main.put::<_, Str, SerdeJson<_>>(wtxn, FACETED_FIELDS_KEY, fields_types)
/// Writes the facet fields names in the database.
pub fn put_faceted_fields(&self, wtxn: &mut RwTxn, fields: &HashSet<String>) -> heed::Result<()> {
self.main.put::<_, Str, SerdeJson<_>>(wtxn, FACETED_FIELDS_KEY, fields)
}
/// Deletes the facet fields ids associated with their facet type.
/// Deletes the facet fields ids in the database.
pub fn delete_faceted_fields(&self, wtxn: &mut RwTxn) -> heed::Result<bool> {
self.main.delete::<_, Str>(wtxn, FACETED_FIELDS_KEY)
}
/// Returns the facet fields names associated with their facet type.
pub fn faceted_fields(&self, rtxn: &RoTxn) -> heed::Result<HashMap<String, FacetType>> {
/// Returns the facet fields names.
pub fn faceted_fields(&self, rtxn: &RoTxn) -> heed::Result<HashSet<String>> {
Ok(self.main.get::<_, Str, SerdeJson<_>>(rtxn, FACETED_FIELDS_KEY)?.unwrap_or_default())
}
/// Same as `faceted_fields`, but returns ids instead.
pub fn faceted_fields_ids(&self, rtxn: &RoTxn) -> heed::Result<HashMap<FieldId, FacetType>> {
pub fn faceted_fields_ids(&self, rtxn: &RoTxn) -> heed::Result<HashSet<FieldId>> {
let faceted_fields = self.faceted_fields(rtxn)?;
let fields_ids_map = self.fields_ids_map(rtxn)?;
let faceted_fields = faceted_fields
.iter()
.map(|(k, v)| {
let kid = fields_ids_map
.map(|k| {
fields_ids_map
.id(k)
.ok_or_else(|| format!("{:?} should be present in the field id map", k))
.expect("corrupted data: ");
(kid, *v)
.expect("corrupted data: ")
})
.collect();
Ok(faceted_fields)
}
/* faceted documents ids */
/// Writes the documents ids that are faceted under this field id.
pub fn put_faceted_documents_ids(&self, wtxn: &mut RwTxn, field_id: FieldId, docids: &RoaringBitmap) -> heed::Result<()> {
let mut buffer = [0u8; FACETED_DOCUMENTS_IDS_PREFIX.len() + 1];
buffer[..FACETED_DOCUMENTS_IDS_PREFIX.len()].clone_from_slice(FACETED_DOCUMENTS_IDS_PREFIX.as_bytes());
/// Writes the documents ids that are faceted with numbers under this field id.
pub fn put_number_faceted_documents_ids(
&self,
wtxn: &mut RwTxn,
field_id: FieldId,
docids: &RoaringBitmap,
) -> heed::Result<()>
{
let mut buffer = [0u8; STRING_FACETED_DOCUMENTS_IDS_PREFIX.len() + 1];
buffer[..STRING_FACETED_DOCUMENTS_IDS_PREFIX.len()]
.copy_from_slice(STRING_FACETED_DOCUMENTS_IDS_PREFIX.as_bytes());
*buffer.last_mut().unwrap() = field_id;
self.main.put::<_, ByteSlice, RoaringBitmapCodec>(wtxn, &buffer, docids)
}
/// Retrieve all the documents ids that faceted under this field id.
pub fn faceted_documents_ids(&self, rtxn: &RoTxn, field_id: FieldId) -> heed::Result<RoaringBitmap> {
let mut buffer = [0u8; FACETED_DOCUMENTS_IDS_PREFIX.len() + 1];
buffer[..FACETED_DOCUMENTS_IDS_PREFIX.len()].clone_from_slice(FACETED_DOCUMENTS_IDS_PREFIX.as_bytes());
/// Retrieve all the documents ids that faceted with numbers under this field id.
pub fn number_faceted_documents_ids(
&self,
rtxn: &RoTxn,
field_id: FieldId,
) -> heed::Result<RoaringBitmap>
{
let mut buffer = [0u8; STRING_FACETED_DOCUMENTS_IDS_PREFIX.len() + 1];
buffer[..STRING_FACETED_DOCUMENTS_IDS_PREFIX.len()]
.copy_from_slice(STRING_FACETED_DOCUMENTS_IDS_PREFIX.as_bytes());
*buffer.last_mut().unwrap() = field_id;
match self.main.get::<_, ByteSlice, RoaringBitmapCodec>(rtxn, &buffer)? {
Some(docids) => Ok(docids),
None => Ok(RoaringBitmap::new()),
}
}
/// Writes the documents ids that are faceted with strings under this field id.
pub fn put_string_faceted_documents_ids(
&self,
wtxn: &mut RwTxn,
field_id: FieldId,
docids: &RoaringBitmap,
) -> heed::Result<()>
{
let mut buffer = [0u8; NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len() + 1];
buffer[..NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len()]
.copy_from_slice(NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.as_bytes());
*buffer.last_mut().unwrap() = field_id;
self.main.put::<_, ByteSlice, RoaringBitmapCodec>(wtxn, &buffer, docids)
}
/// Retrieve all the documents ids that faceted with strings under this field id.
pub fn string_faceted_documents_ids(
&self,
rtxn: &RoTxn,
field_id: FieldId,
) -> heed::Result<RoaringBitmap>
{
let mut buffer = [0u8; NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len() + 1];
buffer[..NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len()]
.copy_from_slice(NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.as_bytes());
*buffer.last_mut().unwrap() = field_id;
match self.main.get::<_, ByteSlice, RoaringBitmapCodec>(rtxn, &buffer)? {
Some(docids) => Ok(docids),

41
milli/src/search/criteria/asc_desc.rs
View File

@ -1,7 +1,7 @@
use std::collections::HashMap;
use std::mem::take;
use anyhow::{bail, Context as _};
use anyhow::Context;
use itertools::Itertools;
use log::debug;
use ordered_float::OrderedFloat;
@ -23,7 +23,6 @@ pub struct AscDesc<'t> {
rtxn: &'t heed::RoTxn<'t>,
field_name: String,
field_id: FieldId,
facet_type: FacetType,
ascending: bool,
query_tree: Option<Operation>,
candidates: Box<dyn Iterator<Item = heed::Result<RoaringBitmap>> + 't>,
@ -51,6 +50,7 @@ impl<'t> AscDesc<'t> {
Self::new(index, rtxn, parent, field_name, false)
}
fn new(
index: &'t Index,
rtxn: &'t heed::RoTxn,
@ -60,19 +60,19 @@ impl<'t> AscDesc<'t> {
) -> anyhow::Result<Self> {
let fields_ids_map = index.fields_ids_map(rtxn)?;
let faceted_fields = index.faceted_fields(rtxn)?;
let (field_id, facet_type) =
field_id_facet_type(&fields_ids_map, &faceted_fields, &field_name)?;
let field_id = fields_ids_map
.id(&field_name)
.with_context(|| format!("field {:?} isn't registered", field_name))?;
Ok(AscDesc {
index,
rtxn,
field_name,
field_id,
facet_type,
ascending,
query_tree: None,
candidates: Box::new(std::iter::empty()),
faceted_candidates: index.faceted_documents_ids(rtxn, field_id)?,
faceted_candidates: index.number_faceted_documents_ids(rtxn, field_id)?,
bucket_candidates: RoaringBitmap::new(),
parent,
})
@ -165,27 +165,20 @@ fn facet_ordered<'t>(
index: &'t Index,
rtxn: &'t heed::RoTxn,
field_id: FieldId,
facet_type: FacetType,
ascending: bool,
candidates: RoaringBitmap,
) -> anyhow::Result<Box<dyn Iterator<Item = heed::Result<RoaringBitmap>> + 't>> {
match facet_type {
FacetType::Number => {
if candidates.len() <= CANDIDATES_THRESHOLD {
let iter =
iterative_facet_ordered_iter(index, rtxn, field_id, ascending, candidates)?;
Ok(Box::new(iter.map(Ok)) as Box<dyn Iterator<Item = _>>)
} else {
let facet_fn = if ascending {
FacetIter::new_reducing
} else {
FacetIter::new_reverse_reducing
};
let iter = facet_fn(rtxn, index, field_id, candidates)?;
Ok(Box::new(iter.map(|res| res.map(|(_, docids)| docids))))
}
}
FacetType::String => bail!("criteria facet type must be a number"),
if candidates.len() <= CANDIDATES_THRESHOLD {
let iter = iterative_facet_ordered_iter(index, rtxn, field_id, ascending, candidates)?;
Ok(Box::new(iter.map(Ok)) as Box<dyn Iterator<Item = _>>)
} else {
let facet_fn = if ascending {
FacetIter::new_reducing
} else {
FacetIter::new_reverse_reducing
};
let iter = facet_fn(rtxn, index, field_id, candidates)?;
Ok(Box::new(iter.map(|res| res.map(|(_, docids)| docids))))
}
}

17
milli/src/search/distinct/facet_distinct.rs
View File

@ -5,7 +5,7 @@ use roaring::RoaringBitmap;
use super::{Distinct, DocIter};
use crate::heed_codec::facet::*;
use crate::{facet::FacetType, DocumentId, FieldId, Index};
use crate::{DocumentId, FieldId, Index};
const FID_SIZE: usize = size_of::<FieldId>();
const DOCID_SIZE: usize = size_of::<DocumentId>();
@ -22,7 +22,6 @@ pub struct FacetDistinct<'a> {
distinct: FieldId,
index: &'a Index,
txn: &'a heed::RoTxn<'a>,
facet_type: FacetType,
}
impl<'a> FacetDistinct<'a> {
@ -30,14 +29,9 @@ impl<'a> FacetDistinct<'a> {
distinct: FieldId,
index: &'a Index,
txn: &'a heed::RoTxn<'a>,
facet_type: FacetType,
) -> Self {
Self {
distinct,
index,
txn,
facet_type,
}
) -> Self
{
Self { distinct, index, txn }
}
}
@ -45,7 +39,6 @@ pub struct FacetDistinctIter<'a> {
candidates: RoaringBitmap,
distinct: FieldId,
excluded: RoaringBitmap,
facet_type: FacetType,
index: &'a Index,
iter_offset: usize,
txn: &'a heed::RoTxn<'a>,
@ -117,6 +110,7 @@ impl<'a> FacetDistinctIter<'a> {
// increasing the offset we make sure to get the first valid value for the next
// distinct document to keep.
self.iter_offset += 1;
Ok(Some(id))
}
// no more candidate at this offset, return.
@ -188,7 +182,6 @@ impl<'a> Distinct<'_> for FacetDistinct<'a> {
candidates,
distinct: self.distinct,
excluded,
facet_type: self.facet_type,
index: self.index,
iter_offset: 0,
txn: self.txn,

2
milli/src/search/mod.rs
View File

@ -145,7 +145,7 @@ impl<'a> Search<'a> {
let faceted_fields = self.index.faceted_fields(self.rtxn)?;
match faceted_fields.get(name) {
Some(facet_type) => {
let distinct = FacetDistinct::new(id, self.index, self.rtxn, *facet_type);
let distinct = FacetDistinct::new(id, self.index, self.rtxn);
self.perform_sort(distinct, matching_words, criteria)
}
None => {

6
milli/src/update/clear_documents.rs
View File

@ -49,8 +49,10 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
self.index.put_fields_distribution(self.wtxn, &FieldsDistribution::default())?;
// We clean all the faceted documents ids.
for (field_id, _) in faceted_fields {
self.index.put_faceted_documents_ids(self.wtxn, field_id, &RoaringBitmap::default())?;
let empty = RoaringBitmap::default();
for field_id in faceted_fields {
self.index.put_number_faceted_documents_ids(self.wtxn, field_id, &empty)?;
self.index.put_string_faceted_documents_ids(self.wtxn, field_id, &empty)?;
}
// Clear the other databases.

13
milli/src/update/delete_documents.rs
View File

@ -330,11 +330,11 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
)?;
// Remove the documents ids from the faceted documents ids.
let faceted_fields = self.index.faceted_fields_ids(self.wtxn)?;
for (field_id, facet_type) in faceted_fields {
let mut docids = self.index.faceted_documents_ids(self.wtxn, field_id)?;
for field_id in self.index.faceted_fields_ids(self.wtxn)? {
// Remove docids from the number faceted documents ids
let mut docids = self.index.number_faceted_documents_ids(self.wtxn, field_id)?;
docids.difference_with(&self.documents_ids);
self.index.put_faceted_documents_ids(self.wtxn, field_id, &docids)?;
self.index.put_number_faceted_documents_ids(self.wtxn, field_id, &docids)?;
remove_docids_from_field_id_docid_facet_value(
self.wtxn,
@ -344,6 +344,11 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
|(_fid, docid, _value)| docid,
)?;
// Remove docids from the string faceted documents ids
let mut docids = self.index.string_faceted_documents_ids(self.wtxn, field_id)?;
docids.difference_with(&self.documents_ids);
self.index.put_string_faceted_documents_ids(self.wtxn, field_id, &docids)?;
remove_docids_from_field_id_docid_facet_value(
self.wtxn,
field_id_docid_facet_strings,

88
milli/src/update/facets.rs
View File

@ -9,7 +9,6 @@ use heed::{BytesEncode, Error};
use log::debug;
use roaring::RoaringBitmap;
use crate::facet::FacetType;
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::heed_codec::facet::FacetLevelValueF64Codec;
use crate::Index;
@ -62,56 +61,51 @@ impl<'t, 'u, 'i> Facets<'t, 'u, 'i> {
let faceted_fields = self.index.faceted_fields_ids(self.wtxn)?;
debug!("Computing and writing the facet values levels docids into LMDB on disk...");
for (field_id, facet_type) in faceted_fields {
let (content, documents_ids) = match facet_type {
FacetType::String => {
let documents_ids = compute_faceted_documents_ids(
self.wtxn,
self.index.facet_field_id_value_docids,
field_id,
)?;
(None, documents_ids)
},
FacetType::Number => {
clear_field_number_levels(
self.wtxn,
self.index.facet_field_id_value_docids.remap_key_type::<FacetLevelValueF64Codec>(),
field_id,
)?;
for field_id in faceted_fields {
// Compute and store the faceted strings documents ids.
let string_documents_ids = compute_faceted_documents_ids(
self.wtxn,
self.index.facet_id_string_docids.remap_key_type::<ByteSlice>(),
field_id,
)?;
let documents_ids = compute_faceted_documents_ids(
self.wtxn,
self.index.facet_field_id_value_docids,
field_id,
)?;
// Clear the facet number levels.
clear_field_number_levels(
self.wtxn,
self.index.facet_id_f64_docids,
field_id,
)?;
let content = compute_facet_number_levels(
self.wtxn,
self.index.facet_field_id_value_docids.remap_key_type::<FacetLevelValueF64Codec>(),
self.chunk_compression_type,
self.chunk_compression_level,
self.chunk_fusing_shrink_size,
self.level_group_size,
self.min_level_size,
field_id,
)?;
// Compute and store the faceted numbers documents ids.
let number_documents_ids = compute_faceted_documents_ids(
self.wtxn,
self.index.facet_id_f64_docids.remap_key_type::<ByteSlice>(),
field_id,
)?;
(Some(content), documents_ids)
},
};
let content = compute_facet_number_levels(
self.wtxn,
self.index.facet_id_f64_docids,
self.chunk_compression_type,
self.chunk_compression_level,
self.chunk_fusing_shrink_size,
self.level_group_size,
self.min_level_size,
field_id,
)?;
if let Some(content) = content {
write_into_lmdb_database(
self.wtxn,
*self.index.facet_field_id_value_docids.as_polymorph(),
content,
|_, _| anyhow::bail!("invalid facet level merging"),
WriteMethod::GetMergePut,
)?;
}
self.index.put_string_faceted_documents_ids(self.wtxn, field_id, &string_documents_ids)?;
self.index.put_number_faceted_documents_ids(self.wtxn, field_id, &number_documents_ids)?;
self.index.put_faceted_documents_ids(self.wtxn, field_id, &documents_ids)?;
// Store the
write_into_lmdb_database(
self.wtxn,
*self.index.facet_id_f64_docids.as_polymorph(),
content,
|_, _| anyhow::bail!("invalid facet number level merging"),
WriteMethod::GetMergePut,
)?;
}
Ok(())
@ -205,10 +199,12 @@ fn compute_faceted_documents_ids(
) -> anyhow::Result<RoaringBitmap>
{
let mut documents_ids = RoaringBitmap::new();
for result in db.prefix_iter(rtxn, &[field_id])? {
let (_key, docids) = result?;
documents_ids.union_with(&docids);
documents_ids |= docids;
}
Ok(documents_ids)
}

63
milli/src/update/index_documents/mod.rs
View File

@ -412,7 +412,7 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
Main,
WordDocids,
WordLevel0PositionDocids,
FacetLevel0ValuesDocids,
FacetLevel0NumbersDocids,
}
let faceted_fields = self.index.faceted_fields_ids(self.wtxn)?;
@ -478,8 +478,10 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
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 facet_field_value_docids_readers = Vec::with_capacity(readers.len());
let mut field_id_docid_facet_values_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 {
@ -488,17 +490,21 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
docid_word_positions,
words_pairs_proximities_docids,
word_level_position_docids,
facet_field_value_docids,
field_id_docid_facet_values,
documents
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);
facet_field_value_docids_readers.push(facet_field_value_docids);
field_id_docid_facet_values_readers.push(field_id_docid_facet_values);
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);
});
@ -523,8 +529,8 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
(DatabaseType::Main, main_readers, main_merge as MergeFn),
(DatabaseType::WordDocids, word_docids_readers, word_docids_merge),
(
DatabaseType::FacetLevel0ValuesDocids,
facet_field_value_docids_readers,
DatabaseType::FacetLevel0NumbersDocids,
facet_field_numbers_docids_readers,
facet_field_value_docids_merge,
),
(
@ -547,7 +553,10 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
docid_word_positions_readers,
documents_readers,
words_pairs_proximities_docids_readers,
field_id_docid_facet_values_readers,
facet_field_numbers_docids_readers,
facet_field_strings_docids_readers,
field_id_docid_facet_numbers_readers,
field_id_docid_facet_strings_readers,
)) as anyhow::Result<_>
})?;
@ -556,7 +565,10 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
docid_word_positions_readers,
documents_readers,
words_pairs_proximities_docids_readers,
field_id_docid_facet_values_readers,
facet_field_numbers_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)?;
@ -624,11 +636,26 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
total_databases,
});
debug!("Writing the field id docid facet values into LMDB on disk...");
debug!("Writing the field id docid facet numbers into LMDB on disk...");
merge_into_lmdb_database(
self.wtxn,
*self.index.field_id_docid_facet_values.as_polymorph(),
field_id_docid_facet_values_readers,
*self.index.field_id_docid_facet_f64s.as_polymorph(),
field_id_docid_facet_numbers_readers,
field_id_docid_facet_values_merge,
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,
field_id_docid_facet_values_merge,
write_method,
)?;
@ -678,9 +705,9 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
write_method,
)?;
},
DatabaseType::FacetLevel0ValuesDocids => {
debug!("Writing the facet level 0 values docids into LMDB on disk...");
let db = *self.index.facet_field_id_value_docids.as_polymorph();
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,

341
milli/src/update/index_documents/store.rs
View File

@ -6,25 +6,24 @@ use std::iter::FromIterator;
use std::time::Instant;
use std::{cmp, iter};
use anyhow::{bail, Context};
use anyhow::Context;
use bstr::ByteSlice as _;
use fst::Set;
use grenad::{Reader, FileFuse, Writer, Sorter, CompressionType};
use heed::BytesEncode;
use linked_hash_map::LinkedHashMap;
use log::{debug, info, warn};
use log::{debug, info};
use meilisearch_tokenizer::{Analyzer, AnalyzerConfig, Token, TokenKind, token::SeparatorKind};
use ordered_float::OrderedFloat;
use roaring::RoaringBitmap;
use serde_json::Value;
use tempfile::tempfile;
use crate::facet::{FacetType, FacetValue};
use crate::heed_codec::facet::{FacetValueStringCodec, FacetLevelValueF64Codec};
use crate::heed_codec::facet::{FieldDocIdFacetStringCodec, FieldDocIdFacetF64Codec};
use crate::heed_codec::{BoRoaringBitmapCodec, CboRoaringBitmapCodec};
use crate::update::UpdateIndexingStep;
use crate::{json_to_string, SmallVec8, SmallVec32, Position, DocumentId, FieldId, FieldsIdsMap};
use crate::{json_to_string, SmallVec32, Position, DocumentId, FieldId, FieldsIdsMap};
use super::{MergeFn, create_writer, create_sorter, writer_into_reader};
use super::merge_function::{
@ -45,8 +44,10 @@ pub struct Readers {
pub docid_word_positions: Reader<FileFuse>,
pub words_pairs_proximities_docids: Reader<FileFuse>,
pub word_level_position_docids: Reader<FileFuse>,
pub facet_field_value_docids: Reader<FileFuse>,
pub field_id_docid_facet_values: Reader<FileFuse>,
pub facet_field_numbers_docids: Reader<FileFuse>,
pub facet_field_strings_docids: Reader<FileFuse>,
pub field_id_docid_facet_numbers: Reader<FileFuse>,
pub field_id_docid_facet_strings: Reader<FileFuse>,
pub documents: Reader<FileFuse>,
}
@ -55,13 +56,14 @@ pub struct Store<'s, A> {
primary_key: String,
fields_ids_map: FieldsIdsMap,
searchable_fields: HashSet<FieldId>,
faceted_fields: HashMap<FieldId, FacetType>,
faceted_fields: HashSet<FieldId>,
// Caches
word_docids: LinkedHashMap<SmallVec32<u8>, RoaringBitmap>,
word_docids_limit: usize,
words_pairs_proximities_docids: LinkedHashMap<(SmallVec32<u8>, SmallVec32<u8>, u8), RoaringBitmap>,
words_pairs_proximities_docids_limit: usize,
facet_field_value_docids: LinkedHashMap<(u8, FacetValue), RoaringBitmap>,
facet_field_number_docids: LinkedHashMap<(FieldId, OrderedFloat<f64>), RoaringBitmap>,
facet_field_string_docids: LinkedHashMap<(FieldId, String), RoaringBitmap>,
facet_field_value_docids_limit: usize,
// MTBL parameters
chunk_compression_type: CompressionType,
@ -72,8 +74,10 @@ pub struct Store<'s, A> {
word_docids_sorter: Sorter<MergeFn>,
words_pairs_proximities_docids_sorter: Sorter<MergeFn>,
word_level_position_docids_sorter: Sorter<MergeFn>,
facet_field_value_docids_sorter: Sorter<MergeFn>,
field_id_docid_facet_values_sorter: Sorter<MergeFn>,
facet_field_numbers_docids_sorter: Sorter<MergeFn>,
facet_field_strings_docids_sorter: Sorter<MergeFn>,
field_id_docid_facet_numbers_sorter: Sorter<MergeFn>,
field_id_docid_facet_strings_sorter: Sorter<MergeFn>,
// MTBL writers
docid_word_positions_writer: Writer<File>,
documents_writer: Writer<File>,
@ -86,7 +90,7 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
primary_key: String,
fields_ids_map: FieldsIdsMap,
searchable_fields: HashSet<FieldId>,
faceted_fields: HashMap<FieldId, FacetType>,
faceted_fields: HashSet<FieldId>,
linked_hash_map_size: Option<usize>,
max_nb_chunks: Option<usize>,
max_memory: Option<usize>,
@ -132,7 +136,7 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
max_nb_chunks,
max_memory,
);
let facet_field_value_docids_sorter = create_sorter(
let facet_field_numbers_docids_sorter = create_sorter(
facet_field_value_docids_merge,
chunk_compression_type,
chunk_compression_level,
@ -140,7 +144,23 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
max_nb_chunks,
max_memory,
);
let field_id_docid_facet_values_sorter = create_sorter(
let facet_field_strings_docids_sorter = create_sorter(
facet_field_value_docids_merge,
chunk_compression_type,
chunk_compression_level,
chunk_fusing_shrink_size,
max_nb_chunks,
max_memory,
);
let field_id_docid_facet_numbers_sorter = create_sorter(
field_id_docid_facet_values_merge,
chunk_compression_type,
chunk_compression_level,
chunk_fusing_shrink_size,
max_nb_chunks,
Some(1024 * 1024 * 1024), // 1MB
);
let field_id_docid_facet_strings_sorter = create_sorter(
field_id_docid_facet_values_merge,
chunk_compression_type,
chunk_compression_level,
@ -173,7 +193,8 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
word_docids_limit: linked_hash_map_size,
words_pairs_proximities_docids: LinkedHashMap::with_capacity(linked_hash_map_size),
words_pairs_proximities_docids_limit: linked_hash_map_size,
facet_field_value_docids: LinkedHashMap::with_capacity(linked_hash_map_size),
facet_field_number_docids: LinkedHashMap::with_capacity(linked_hash_map_size),
facet_field_string_docids: LinkedHashMap::with_capacity(linked_hash_map_size),
facet_field_value_docids_limit: linked_hash_map_size,
// MTBL parameters
chunk_compression_type,
@ -184,8 +205,10 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
word_docids_sorter,
words_pairs_proximities_docids_sorter,
word_level_position_docids_sorter,
facet_field_value_docids_sorter,
field_id_docid_facet_values_sorter,
facet_field_numbers_docids_sorter,
facet_field_strings_docids_sorter,
field_id_docid_facet_numbers_sorter,
field_id_docid_facet_strings_sorter,
// MTBL writers
docid_word_positions_writer,
documents_writer,
@ -215,34 +238,68 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
Ok(())
}
// Save the documents ids under the facet field id and value we have seen it.
fn insert_facet_values_docid(
fn insert_facet_number_values_docid(
&mut self,
field_id: FieldId,
field_value: FacetValue,
value: OrderedFloat<f64>,
id: DocumentId,
) -> anyhow::Result<()>
{
Self::write_field_id_docid_facet_value(&mut self.field_id_docid_facet_values_sorter, field_id, id, &field_value)?;
let sorter = &mut self.field_id_docid_facet_numbers_sorter;
Self::write_field_id_docid_facet_number_value(sorter, field_id, id, value)?;
let key = (field_id, field_value);
let key = (field_id, value);
// if get_refresh finds the element it is assured to be at the end of the linked hash map.
match self.facet_field_value_docids.get_refresh(&key) {
match self.facet_field_number_docids.get_refresh(&key) {
Some(old) => { old.insert(id); },
None => {
// A newly inserted element is append at the end of the linked hash map.
self.facet_field_value_docids.insert(key, RoaringBitmap::from_iter(Some(id)));
self.facet_field_number_docids.insert(key, RoaringBitmap::from_iter(Some(id)));
// If the word docids just reached it's capacity we must make sure to remove
// one element, this way next time we insert we doesn't grow the capacity.
if self.facet_field_value_docids.len() == self.facet_field_value_docids_limit {
if self.facet_field_number_docids.len() == self.facet_field_value_docids_limit {
// Removing the front element is equivalent to removing the LRU element.
Self::write_facet_field_value_docids(
&mut self.facet_field_value_docids_sorter,
self.facet_field_value_docids.pop_front(),
Self::write_facet_field_number_docids(
&mut self.facet_field_numbers_docids_sorter,
self.facet_field_number_docids.pop_front(),
)?;
}
}
}
Ok(())
}
// Save the documents ids under the facet field id and value we have seen it.
fn insert_facet_string_values_docid(
&mut self,
field_id: FieldId,
value: String,
id: DocumentId,
) -> anyhow::Result<()>
{
let sorter = &mut self.field_id_docid_facet_strings_sorter;
Self::write_field_id_docid_facet_string_value(sorter, field_id, id, &value)?;
let key = (field_id, value);
// if get_refresh finds the element it is assured to be at the end of the linked hash map.
match self.facet_field_string_docids.get_refresh(&key) {
Some(old) => { old.insert(id); },
None => {
// A newly inserted element is append at the end of the linked hash map.
self.facet_field_string_docids.insert(key, RoaringBitmap::from_iter(Some(id)));
// If the word docids just reached it's capacity we must make sure to remove
// one element, this way next time we insert we doesn't grow the capacity.
if self.facet_field_string_docids.len() == self.facet_field_value_docids_limit {
// Removing the front element is equivalent to removing the LRU element.
Self::write_facet_field_string_docids(
&mut self.facet_field_strings_docids_sorter,
self.facet_field_string_docids.pop_front(),
)?;
}
}
}
Ok(())
}
@ -287,7 +344,8 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
&mut self,
document_id: DocumentId,
words_positions: &mut HashMap<String, SmallVec32<Position>>,
facet_values: &mut HashMap<FieldId, SmallVec8<FacetValue>>,
facet_numbers_values: &mut HashMap<FieldId, Vec<f64>>,
facet_strings_values: &mut HashMap<FieldId, Vec<String>>,
record: &[u8],
) -> anyhow::Result<()>
{
@ -306,10 +364,18 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
words_positions.clear();
// We store document_id associated with all the field id and values.
for (field, values) in facet_values.drain() {
// We store document_id associated with all the facet numbers fields ids and values.
for (field, values) in facet_numbers_values.drain() {
for value in values {
self.insert_facet_values_docid(field, value, document_id)?;
let value = OrderedFloat::from(value);
self.insert_facet_number_values_docid(field, value, document_id)?;
}
}
// We store document_id associated with all the facet strings fields ids and values.
for (field, values) in facet_strings_values.drain() {
for value in values {
self.insert_facet_string_values_docid(field, value, document_id)?;
}
}
@ -409,20 +475,16 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
Ok(())
}
fn write_facet_field_value_docids<I>(
fn write_facet_field_string_docids<I>(
sorter: &mut Sorter<MergeFn>,
iter: I,
) -> anyhow::Result<()>
where I: IntoIterator<Item=((FieldId, FacetValue), RoaringBitmap)>
where I: IntoIterator<Item=((FieldId, String), RoaringBitmap)>
{
use FacetValue::*;
for ((field_id, value), docids) in iter {
let result = match value {
String(s) => FacetValueStringCodec::bytes_encode(&(field_id, &s)).map(Cow::into_owned),
Number(f) => FacetLevelValueF64Codec::bytes_encode(&(field_id, 0, *f, *f)).map(Cow::into_owned),
};
let key = result.context("could not serialize facet key")?;
let key = FacetValueStringCodec::bytes_encode(&(field_id, &value))
.map(Cow::into_owned)
.context("could not serialize facet key")?;
let bytes = CboRoaringBitmapCodec::bytes_encode(&docids)
.context("could not serialize docids")?;
if lmdb_key_valid_size(&key) {
@ -433,21 +495,55 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
Ok(())
}
fn write_field_id_docid_facet_value(
fn write_facet_field_number_docids<I>(
sorter: &mut Sorter<MergeFn>,
iter: I,
) -> anyhow::Result<()>
where I: IntoIterator<Item=((FieldId, OrderedFloat<f64>), RoaringBitmap)>
{
for ((field_id, value), docids) in iter {
let key = FacetLevelValueF64Codec::bytes_encode(&(field_id, 0, *value, *value))
.map(Cow::into_owned)
.context("could not serialize facet key")?;
let bytes = CboRoaringBitmapCodec::bytes_encode(&docids)
.context("could not serialize docids")?;
if lmdb_key_valid_size(&key) {
sorter.insert(&key, &bytes)?;
}
}
Ok(())
}
fn write_field_id_docid_facet_number_value(
sorter: &mut Sorter<MergeFn>,
field_id: FieldId,
document_id: DocumentId,
value: &FacetValue,
value: OrderedFloat<f64>,
) -> anyhow::Result<()>
{
use FacetValue::*;
let key = FieldDocIdFacetF64Codec::bytes_encode(&(field_id, document_id, *value))
.map(Cow::into_owned)
.context("could not serialize facet key")?;
let result = match value {
String(s) => FieldDocIdFacetStringCodec::bytes_encode(&(field_id, document_id, s)).map(Cow::into_owned),
Number(f) => FieldDocIdFacetF64Codec::bytes_encode(&(field_id, document_id, **f)).map(Cow::into_owned),
};
if lmdb_key_valid_size(&key) {
sorter.insert(&key, &[])?;
}
Ok(())
}
fn write_field_id_docid_facet_string_value(
sorter: &mut Sorter<MergeFn>,
field_id: FieldId,
document_id: DocumentId,
value: &str,
) -> anyhow::Result<()>
{
let key = FieldDocIdFacetStringCodec::bytes_encode(&(field_id, document_id, value))
.map(Cow::into_owned)
.context("could not serialize facet key")?;
let key = result.context("could not serialize facet key")?;
if lmdb_key_valid_size(&key) {
sorter.insert(&key, &[])?;
}
@ -493,7 +589,8 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
let mut before = Instant::now();
let mut words_positions = HashMap::new();
let mut facet_values = HashMap::new();
let mut facet_numbers_values = HashMap::new();
let mut facet_strings_values = HashMap::new();
let mut count: usize = 0;
while let Some((key, value)) = documents.next()? {
@ -513,32 +610,12 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
}
for (attr, content) in document.iter() {
if self.faceted_fields.contains_key(&attr) || self.searchable_fields.contains(&attr) {
if self.faceted_fields.contains(&attr) || self.searchable_fields.contains(&attr) {
let value = serde_json::from_slice(content)?;
if let Some(ftype) = self.faceted_fields.get(&attr) {
let mut values = match parse_facet_value(*ftype, &value) {
Ok(values) => values,
Err(e) => {
// We extract the name of the attribute and the document id
// to help users debug a facet type conversion.
let attr_name = self.fields_ids_map.name(attr).unwrap();
let document_id: Value = self.fields_ids_map.id(&self.primary_key)
.and_then(|fid| document.get(fid))
.map(serde_json::from_slice)
.unwrap()?;
let context = format!(
"while extracting facet from the {:?} attribute in the {} document",
attr_name, document_id,
);
warn!("{}", e.context(context));
SmallVec8::default()
},
};
facet_values.entry(attr).or_insert_with(SmallVec8::new).extend(values.drain(..));
}
let (facet_numbers, facet_strings) = extract_facet_values(&value);
facet_numbers_values.entry(attr).or_insert_with(Vec::new).extend(facet_numbers);
facet_strings_values.entry(attr).or_insert_with(Vec::new).extend(facet_strings);
if self.searchable_fields.contains(&attr) {
let content = match json_to_string(&value) {
@ -558,7 +635,13 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
}
// We write the document in the documents store.
self.write_document(document_id, &mut words_positions, &mut facet_values, value)?;
self.write_document(
document_id,
&mut words_positions,
&mut facet_numbers_values,
&mut facet_strings_values,
value,
)?;
}
// Compute the document id of the next document.
@ -585,9 +668,14 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
&mut self.words_pairs_proximities_docids_sorter,
self.words_pairs_proximities_docids,
)?;
Self::write_facet_field_value_docids(
&mut self.facet_field_value_docids_sorter,
self.facet_field_value_docids,
Self::write_facet_field_number_docids(
&mut self.facet_field_numbers_docids_sorter,
self.facet_field_number_docids,
)?;
Self::write_facet_field_string_docids(
&mut self.facet_field_strings_docids_sorter,
self.facet_field_string_docids,
)?;
let mut word_docids_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
@ -613,18 +701,26 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
let mut word_level_position_docids_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.word_level_position_docids_sorter.write_into(&mut word_level_position_docids_wtr)?;
let mut facet_field_value_docids_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.facet_field_value_docids_sorter.write_into(&mut facet_field_value_docids_wtr)?;
let mut facet_field_numbers_docids_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.facet_field_numbers_docids_sorter.write_into(&mut facet_field_numbers_docids_wtr)?;
let mut field_id_docid_facet_values_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.field_id_docid_facet_values_sorter.write_into(&mut field_id_docid_facet_values_wtr)?;
let mut facet_field_strings_docids_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.facet_field_strings_docids_sorter.write_into(&mut facet_field_strings_docids_wtr)?;
let mut field_id_docid_facet_numbers_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.field_id_docid_facet_numbers_sorter.write_into(&mut field_id_docid_facet_numbers_wtr)?;
let mut field_id_docid_facet_strings_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.field_id_docid_facet_strings_sorter.write_into(&mut field_id_docid_facet_strings_wtr)?;
let main = writer_into_reader(main_wtr, shrink_size)?;
let word_docids = writer_into_reader(word_docids_wtr, shrink_size)?;
let words_pairs_proximities_docids = writer_into_reader(words_pairs_proximities_docids_wtr, shrink_size)?;
let word_level_position_docids = writer_into_reader(word_level_position_docids_wtr, shrink_size)?;
let facet_field_value_docids = writer_into_reader(facet_field_value_docids_wtr, shrink_size)?;
let field_id_docid_facet_values = writer_into_reader(field_id_docid_facet_values_wtr, shrink_size)?;
let facet_field_numbers_docids = writer_into_reader(facet_field_numbers_docids_wtr, shrink_size)?;
let facet_field_strings_docids = writer_into_reader(facet_field_strings_docids_wtr, shrink_size)?;
let field_id_docid_facet_numbers = writer_into_reader(field_id_docid_facet_numbers_wtr, shrink_size)?;
let field_id_docid_facet_strings = writer_into_reader(field_id_docid_facet_strings_wtr, shrink_size)?;
let docid_word_positions = writer_into_reader(self.docid_word_positions_writer, shrink_size)?;
let documents = writer_into_reader(self.documents_writer, shrink_size)?;
@ -634,8 +730,10 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
docid_word_positions,
words_pairs_proximities_docids,
word_level_position_docids,
facet_field_value_docids,
field_id_docid_facet_values,
facet_field_numbers_docids,
facet_field_strings_docids,
field_id_docid_facet_numbers,
field_id_docid_facet_strings,
documents,
})
}
@ -710,71 +808,36 @@ fn process_tokens<'a>(tokens: impl Iterator<Item = Token<'a>>) -> impl Iterator<
.filter(|(_, t)| t.is_word())
}
fn parse_facet_value(ftype: FacetType, value: &Value) -> anyhow::Result<SmallVec8<FacetValue>> {
use FacetValue::*;
fn inner_parse_facet_value(
ftype: FacetType,
fn extract_facet_values(value: &Value) -> (Vec<f64>, Vec<String>) {
fn inner_extract_facet_values(
value: &Value,
can_recurse: bool,
output: &mut SmallVec8<FacetValue>,
) -> anyhow::Result<()>
{
output_numbers: &mut Vec<f64>,
output_strings: &mut Vec<String>,
) {
match value {
Value::Null => Ok(()),
Value::Bool(b) => match ftype {
FacetType::String => {
output.push(String(b.to_string()));
Ok(())
},
FacetType::Number => {
output.push(Number(OrderedFloat(if *b { 1.0 } else { 0.0 })));
Ok(())
},
},
Value::Number(number) => match ftype {
FacetType::String => {
output.push(String(number.to_string()));
Ok(())
},
FacetType::Number => match number.as_f64() {
Some(float) => {
output.push(Number(OrderedFloat(float)));
Ok(())
},
None => bail!("invalid facet type, expecting {} found number", ftype),
},
Value::Null => (),
Value::Bool(b) => output_strings.push(b.to_string()),
Value::Number(number) => if let Some(float) = number.as_f64() {
output_numbers.push(float);
},
Value::String(string) => {
// TODO must be normalized and not only lowercased.
let string = string.trim().to_lowercase();
match ftype {
FacetType::String => {
output.push(String(string));
Ok(())
},
FacetType::Number => match string.parse() {
Ok(float) => {
output.push(Number(OrderedFloat(float)));
Ok(())
},
Err(_err) => bail!("invalid facet type, expecting {} found string", ftype),
},
}
output_strings.push(string);
},
Value::Array(values) => if can_recurse {
values.iter().map(|v| inner_parse_facet_value(ftype, v, false, output)).collect()
} else {
bail!(
"invalid facet type, expecting {} found array (recursive arrays are not supported)",
ftype,
);
for value in values {
inner_extract_facet_values(value, false, output_numbers, output_strings);
}
},
Value::Object(_) => bail!("invalid facet type, expecting {} found object", ftype),
Value::Object(_) => (),
}
}
let mut facet_values = SmallVec8::new();
inner_parse_facet_value(ftype, value, true, &mut facet_values)?;
Ok(facet_values)
let mut facet_number_values = Vec::new();
let mut facet_string_values = Vec::new();
inner_extract_facet_values(value, true, &mut facet_number_values, &mut facet_string_values);
(facet_number_values, facet_string_values)
}

14
milli/src/update/settings.rs
View File

@ -1,4 +1,4 @@
use std::collections::{BTreeSet, HashMap};
use std::collections::{BTreeSet, HashMap, HashSet};
use std::str::FromStr;
use anyhow::Context;
@ -11,7 +11,6 @@ use serde::{Deserialize, Deserializer, Serialize, Serializer};
use crate::{FieldsIdsMap, Index};
use crate::criterion::Criterion;
use crate::facet::FacetType;
use crate::update::{ClearDocuments, IndexDocuments, UpdateIndexingStep};
use crate::update::index_documents::{IndexDocumentsMethod, Transform};
@ -68,7 +67,7 @@ pub struct Settings<'a, 't, 'u, 'i> {
searchable_fields: Setting<Vec<String>>,
displayed_fields: Setting<Vec<String>>,
faceted_fields: Setting<HashMap<String, String>>,
faceted_fields: Setting<HashSet<String>>,
criteria: Setting<Vec<String>>,
stop_words: Setting<BTreeSet<String>>,
distinct_attribute: Setting<String>,
@ -123,7 +122,7 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
self.faceted_fields = Setting::Reset;
}
pub fn set_faceted_fields(&mut self, names_facet_types: HashMap<String, String>) {
pub fn set_faceted_fields(&mut self, names_facet_types: HashSet<String>) {
self.faceted_fields = Setting::Set(names_facet_types);
}
@ -387,11 +386,10 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
match self.faceted_fields {
Setting::Set(ref fields) => {
let mut fields_ids_map = self.index.fields_ids_map(self.wtxn)?;
let mut new_facets = HashMap::new();
for (name, ty) in fields {
let mut new_facets = HashSet::new();
for name in fields {
fields_ids_map.insert(name).context("field id limit exceeded")?;
let ty = FacetType::from_str(&ty)?;
new_facets.insert(name.clone(), ty);
new_facets.insert(name.clone());
}
self.index.put_faceted_fields(self.wtxn, &new_facets)?;
self.index.put_fields_ids_map(self.wtxn, &fields_ids_map)?;