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Merge branch 'filter/field-exist'

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This commit is contained in:
Loïc Lecrenier
2022-07-21 14:51:41 +02:00
parent e1bc610d27 1506683705
commit 07003704a8
20 changed files with 479 additions and 88 deletions
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5
milli/src/heed_codec/facet/mod.rs
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@ -6,6 +6,8 @@ mod facet_string_zero_bounds_value_codec;
mod field_doc_id_facet_f64_codec;
mod field_doc_id_facet_string_codec;
use heed::types::OwnedType;
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;
@ -15,6 +17,9 @@ pub use self::facet_string_level_zero_value_codec::{
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;
use crate::BEU16;
pub type FieldIdCodec = OwnedType<BEU16>;
/// Tries to split a slice in half at the given middle point,
/// `None` if the slice is too short.

25
milli/src/index.rs
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@ -15,13 +15,13 @@ use crate::error::{InternalError, UserError};
use crate::fields_ids_map::FieldsIdsMap;
use crate::heed_codec::facet::{
FacetLevelValueF64Codec, FacetStringLevelZeroCodec, FacetStringLevelZeroValueCodec,
FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec,
FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec, FieldIdCodec,
};
use crate::{
default_criteria, BEU32StrCodec, BoRoaringBitmapCodec, CboRoaringBitmapCodec, Criterion,
DocumentId, ExternalDocumentsIds, FacetDistribution, FieldDistribution, FieldId,
FieldIdWordCountCodec, GeoPoint, ObkvCodec, Result, RoaringBitmapCodec, RoaringBitmapLenCodec,
Search, StrBEU32Codec, StrStrU8Codec, BEU32,
Search, StrBEU32Codec, StrStrU8Codec, BEU16, BEU32,
};
pub const DEFAULT_MIN_WORD_LEN_ONE_TYPO: u8 = 5;
@ -75,6 +75,7 @@ pub mod db_name {
pub const WORD_PREFIX_POSITION_DOCIDS: &str = "word-prefix-position-docids";
pub const FIELD_ID_WORD_COUNT_DOCIDS: &str = "field-id-word-count-docids";
pub const FACET_ID_F64_DOCIDS: &str = "facet-id-f64-docids";
pub const FACET_ID_EXISTS_DOCIDS: &str = "facet-id-exists-docids";
pub const FACET_ID_STRING_DOCIDS: &str = "facet-id-string-docids";
pub const FIELD_ID_DOCID_FACET_F64S: &str = "field-id-docid-facet-f64s";
pub const FIELD_ID_DOCID_FACET_STRINGS: &str = "field-id-docid-facet-strings";
@ -116,6 +117,9 @@ pub struct Index {
/// Maps the position of a word prefix with all the docids where this prefix appears.
pub word_prefix_position_docids: Database<StrBEU32Codec, CboRoaringBitmapCodec>,
/// Maps the facet field id and the docids for which this field exists
pub facet_id_exists_docids: Database<FieldIdCodec, CboRoaringBitmapCodec>,
/// 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 original string and docids that corresponds to it.
@ -134,7 +138,7 @@ impl Index {
pub fn new<P: AsRef<Path>>(mut options: heed::EnvOpenOptions, path: P) -> Result<Index> {
use db_name::*;
options.max_dbs(16);
options.max_dbs(17);
unsafe { options.flag(Flags::MdbAlwaysFreePages) };
let env = options.open(path)?;
@ -152,6 +156,8 @@ impl Index {
let word_prefix_position_docids = env.create_database(Some(WORD_PREFIX_POSITION_DOCIDS))?;
let facet_id_f64_docids = env.create_database(Some(FACET_ID_F64_DOCIDS))?;
let facet_id_string_docids = env.create_database(Some(FACET_ID_STRING_DOCIDS))?;
let facet_id_exists_docids = env.create_database(Some(FACET_ID_EXISTS_DOCIDS))?;
let field_id_docid_facet_f64s = env.create_database(Some(FIELD_ID_DOCID_FACET_F64S))?;
let field_id_docid_facet_strings =
env.create_database(Some(FIELD_ID_DOCID_FACET_STRINGS))?;
@ -174,6 +180,7 @@ impl Index {
field_id_word_count_docids,
facet_id_f64_docids,
facet_id_string_docids,
facet_id_exists_docids,
field_id_docid_facet_f64s,
field_id_docid_facet_strings,
documents,
@ -806,6 +813,18 @@ impl Index {
}
}
/// Retrieve all the documents which contain this field id
pub fn exists_faceted_documents_ids(
&self,
rtxn: &RoTxn,
field_id: FieldId,
) -> heed::Result<RoaringBitmap> {
match self.facet_id_exists_docids.get(rtxn, &BEU16::new(field_id))? {
Some(docids) => Ok(docids),
None => Ok(RoaringBitmap::new()),
}
}
/* distinct field */
pub(crate) fn put_distinct_field(

1
milli/src/lib.rs
View File

@ -44,6 +44,7 @@ pub use self::search::{
pub type Result<T> = std::result::Result<T, error::Error>;
pub type Attribute = u32;
pub type BEU16 = heed::zerocopy::U16<heed::byteorder::BE>;
pub type BEU32 = heed::zerocopy::U32<heed::byteorder::BE>;
pub type BEU64 = heed::zerocopy::U64<heed::byteorder::BE>;
pub type DocumentId = u32;

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

@ -280,6 +280,18 @@ impl<'a> Filter<'a> {
Condition::LowerThan(val) => (Included(f64::MIN), Excluded(val.parse()?)),
Condition::LowerThanOrEqual(val) => (Included(f64::MIN), Included(val.parse()?)),
Condition::Between { from, to } => (Included(from.parse()?), Included(to.parse()?)),
Condition::Exists => {
let exist = index.exists_faceted_documents_ids(rtxn, field_id)?;
return Ok(exist);
}
Condition::NotExists => {
let all_ids = index.documents_ids(rtxn)?;
let exist = Self::evaluate_operator(rtxn, index, field_id, &Condition::Exists)?;
let notexist = all_ids - exist;
return Ok(notexist);
}
Condition::Equal(val) => {
let (_original_value, string_docids) = strings_db
.get(rtxn, &(field_id, &val.value().to_lowercase()))?

2
milli/src/update/clear_documents.rs
View File

@ -30,6 +30,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
word_prefix_position_docids,
facet_id_f64_docids,
facet_id_string_docids,
facet_id_exists_docids,
field_id_docid_facet_f64s,
field_id_docid_facet_strings,
documents,
@ -69,6 +70,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
field_id_word_count_docids.clear(self.wtxn)?;
word_prefix_position_docids.clear(self.wtxn)?;
facet_id_f64_docids.clear(self.wtxn)?;
facet_id_exists_docids.clear(self.wtxn)?;
facet_id_string_docids.clear(self.wtxn)?;
field_id_docid_facet_f64s.clear(self.wtxn)?;
field_id_docid_facet_strings.clear(self.wtxn)?;

11
milli/src/update/delete_documents.rs
View File

@ -170,6 +170,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
word_position_docids,
word_prefix_position_docids,
facet_id_f64_docids,
facet_id_exists_docids,
facet_id_string_docids,
field_id_docid_facet_f64s,
field_id_docid_facet_strings,
@ -424,11 +425,17 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
}
// We delete the documents ids that are under the facet field id values.
remove_docids_from_facet_field_id_number_docids(
remove_docids_from_facet_field_id_docids(
self.wtxn,
facet_id_f64_docids,
&self.to_delete_docids,
)?;
// We delete the documents ids that are under the facet field id values.
remove_docids_from_facet_field_id_docids(
self.wtxn,
facet_id_exists_docids,
&self.to_delete_docids,
)?;
remove_docids_from_facet_field_id_string_docids(
self.wtxn,
@ -618,7 +625,7 @@ fn remove_docids_from_facet_field_id_string_docids<'a, C, D>(
Ok(())
}
fn remove_docids_from_facet_field_id_number_docids<'a, C>(
fn remove_docids_from_facet_field_id_docids<'a, C>(
wtxn: &'a mut heed::RwTxn,
db: &heed::Database<C, CboRoaringBitmapCodec>,
to_remove: &RoaringBitmap,

46
milli/src/update/index_documents/extract/extract_fid_docid_facet_values.rs
View File

@ -1,15 +1,19 @@
use std::collections::HashSet;
use std::collections::{BTreeMap, HashSet};
use std::convert::TryInto;
use std::fs::File;
use std::io;
use std::mem::size_of;
use heed::zerocopy::AsBytes;
use heed::BytesEncode;
use roaring::RoaringBitmap;
use serde_json::Value;
use super::helpers::{create_sorter, keep_first, sorter_into_reader, GrenadParameters};
use crate::error::InternalError;
use crate::facet::value_encoding::f64_into_bytes;
use crate::{DocumentId, FieldId, Result};
use crate::update::index_documents::{create_writer, writer_into_reader};
use crate::{CboRoaringBitmapCodec, DocumentId, FieldId, Result, BEU32};
/// Extracts the facet values of each faceted field of each document.
///
@ -20,7 +24,7 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
obkv_documents: grenad::Reader<R>,
indexer: GrenadParameters,
faceted_fields: &HashSet<FieldId>,
) -> Result<(grenad::Reader<File>, grenad::Reader<File>)> {
) -> Result<(grenad::Reader<File>, grenad::Reader<File>, grenad::Reader<File>)> {
let max_memory = indexer.max_memory_by_thread();
let mut fid_docid_facet_numbers_sorter = create_sorter(
@ -39,6 +43,8 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
max_memory.map(|m| m / 2),
);
let mut facet_exists_docids = BTreeMap::<FieldId, RoaringBitmap>::new();
let mut key_buffer = Vec::new();
let mut cursor = obkv_documents.into_cursor()?;
while let Some((docid_bytes, value)) = cursor.move_on_next()? {
@ -46,16 +52,26 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
for (field_id, field_bytes) in obkv.iter() {
if faceted_fields.contains(&field_id) {
let value =
serde_json::from_slice(field_bytes).map_err(InternalError::SerdeJson)?;
let (numbers, strings) = extract_facet_values(&value);
key_buffer.clear();
// prefix key with the field_id and the document_id
// Set key to the field_id
// Note: this encoding is consistent with FieldIdCodec
key_buffer.extend_from_slice(&field_id.to_be_bytes());
// Here, we know already that the document must be added to the “field id exists” database
let document: [u8; 4] = docid_bytes[..4].try_into().ok().unwrap();
let document = BEU32::from(document).get();
facet_exists_docids.entry(field_id).or_default().insert(document);
// For the other extraction tasks, prefix the key with the field_id and the document_id
key_buffer.extend_from_slice(&docid_bytes);
let value =
serde_json::from_slice(field_bytes).map_err(InternalError::SerdeJson)?;
let (numbers, strings) = extract_facet_values(&value);
// insert facet numbers in sorter
for number in numbers {
key_buffer.truncate(size_of::<FieldId>() + size_of::<DocumentId>());
@ -77,9 +93,21 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
}
}
let mut facet_exists_docids_writer = create_writer(
indexer.chunk_compression_type,
indexer.chunk_compression_level,
tempfile::tempfile()?,
);
for (fid, bitmap) in facet_exists_docids.into_iter() {
let bitmap_bytes = CboRoaringBitmapCodec::bytes_encode(&bitmap).unwrap();
facet_exists_docids_writer.insert(fid.to_be_bytes(), &bitmap_bytes)?;
}
let facet_exists_docids_reader = writer_into_reader(facet_exists_docids_writer)?;
Ok((
sorter_into_reader(fid_docid_facet_numbers_sorter, indexer.clone())?,
sorter_into_reader(fid_docid_facet_strings_sorter, indexer)?,
sorter_into_reader(fid_docid_facet_strings_sorter, indexer.clone())?,
facet_exists_docids_reader,
))
}

49
milli/src/update/index_documents/extract/mod.rs
View File

@ -53,7 +53,7 @@ pub(crate) fn data_from_obkv_documents(
})
.collect::<Result<()>>()?;
let result: Result<(Vec<_>, (Vec<_>, Vec<_>))> = flattened_obkv_chunks
let result: Result<(Vec<_>, (Vec<_>, (Vec<_>, Vec<_>)))> = flattened_obkv_chunks
.par_bridge()
.map(|flattened_obkv_chunks| {
send_and_extract_flattened_documents_data(
@ -72,9 +72,28 @@ pub(crate) fn data_from_obkv_documents(
let (
docid_word_positions_chunks,
(docid_fid_facet_numbers_chunks, docid_fid_facet_strings_chunks),
(
docid_fid_facet_numbers_chunks,
(docid_fid_facet_strings_chunks, facet_exists_docids_chunks),
),
) = result?;
// merge facet_exists_docids and send them as a typed chunk
{
let lmdb_writer_sx = lmdb_writer_sx.clone();
rayon::spawn(move || {
debug!("merge {} database", "facet-id-exists-docids");
match facet_exists_docids_chunks.merge(merge_cbo_roaring_bitmaps, &indexer) {
Ok(reader) => {
let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdFacetExistsDocids(reader)));
}
Err(e) => {
let _ = lmdb_writer_sx.send(Err(e));
}
}
});
}
spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
docid_word_positions_chunks.clone(),
indexer.clone(),
@ -197,6 +216,7 @@ fn send_original_documents_data(
/// - docid_word_positions
/// - docid_fid_facet_numbers
/// - docid_fid_facet_strings
/// - docid_fid_facet_exists
fn send_and_extract_flattened_documents_data(
flattened_documents_chunk: Result<grenad::Reader<File>>,
indexer: GrenadParameters,
@ -209,7 +229,10 @@ fn send_and_extract_flattened_documents_data(
max_positions_per_attributes: Option<u32>,
) -> Result<(
grenad::Reader<CursorClonableMmap>,
(grenad::Reader<CursorClonableMmap>, grenad::Reader<CursorClonableMmap>),
(
grenad::Reader<CursorClonableMmap>,
(grenad::Reader<CursorClonableMmap>, grenad::Reader<File>),
),
)> {
let flattened_documents_chunk =
flattened_documents_chunk.and_then(|c| unsafe { as_cloneable_grenad(&c) })?;
@ -250,12 +273,15 @@ fn send_and_extract_flattened_documents_data(
Ok(docid_word_positions_chunk)
},
|| {
let (docid_fid_facet_numbers_chunk, docid_fid_facet_strings_chunk) =
extract_fid_docid_facet_values(
flattened_documents_chunk.clone(),
indexer.clone(),
faceted_fields,
)?;
let (
docid_fid_facet_numbers_chunk,
docid_fid_facet_strings_chunk,
fid_facet_exists_docids_chunk,
) = extract_fid_docid_facet_values(
flattened_documents_chunk.clone(),
indexer.clone(),
faceted_fields,
)?;
// send docid_fid_facet_numbers_chunk to DB writer
let docid_fid_facet_numbers_chunk =
@ -273,7 +299,10 @@ fn send_and_extract_flattened_documents_data(
docid_fid_facet_strings_chunk.clone(),
)));
Ok((docid_fid_facet_numbers_chunk, docid_fid_facet_strings_chunk))
Ok((
docid_fid_facet_numbers_chunk,
(docid_fid_facet_strings_chunk, fid_facet_exists_docids_chunk),
))
},
);

104
milli/src/update/index_documents/mod.rs
View File

@ -613,6 +613,7 @@ mod tests {
use super::*;
use crate::documents::DocumentsBatchBuilder;
use crate::update::DeleteDocuments;
use crate::BEU16;
#[test]
fn simple_document_replacement() {
@ -2040,6 +2041,109 @@ mod tests {
assert_eq!(ids.len(), map.len());
}
#[test]
fn index_documents_check_exists_database() {
let config = IndexerConfig::default();
let indexing_config = IndexDocumentsConfig::default();
let faceted_fields = hashset!(S("colour"));
let content = || {
documents!([
{
"id": 0,
"colour": 0,
},
{
"id": 1,
"colour": []
},
{
"id": 2,
"colour": {}
},
{
"id": 3,
"colour": null
},
{
"id": 4,
"colour": [1]
},
{
"id": 5
},
{
"id": 6,
"colour": {
"green": 1
}
},
{
"id": 7,
"colour": {
"green": {
"blue": []
}
}
}
])
};
let make_index = || {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
Index::new(options, &path).unwrap()
};
let set_filterable_fields = |index: &Index| {
let mut wtxn = index.write_txn().unwrap();
let mut builder = update::Settings::new(&mut wtxn, &index, &config);
builder.set_filterable_fields(faceted_fields.clone());
builder.execute(|_| ()).unwrap();
wtxn.commit().unwrap();
};
let add_documents = |index: &Index| {
let mut wtxn = index.write_txn().unwrap();
let builder =
IndexDocuments::new(&mut wtxn, index, &config, indexing_config.clone(), |_| ())
.unwrap();
let (builder, user_error) = builder.add_documents(content()).unwrap();
user_error.unwrap();
builder.execute().unwrap();
wtxn.commit().unwrap();
};
let check_ok = |index: &Index| {
let rtxn = index.read_txn().unwrap();
let facets = index.faceted_fields(&rtxn).unwrap();
assert_eq!(facets, hashset!(S("colour"), S("colour.green"), S("colour.green.blue")));
let colour_id = index.fields_ids_map(&rtxn).unwrap().id("colour").unwrap();
let colour_green_id = index.fields_ids_map(&rtxn).unwrap().id("colour.green").unwrap();
let bitmap_colour =
index.facet_id_exists_docids.get(&rtxn, &BEU16::new(colour_id)).unwrap().unwrap();
assert_eq!(bitmap_colour.into_iter().collect::<Vec<_>>(), vec![0, 1, 2, 3, 4, 6, 7]);
let bitmap_colour_green = index
.facet_id_exists_docids
.get(&rtxn, &BEU16::new(colour_green_id))
.unwrap()
.unwrap();
assert_eq!(bitmap_colour_green.into_iter().collect::<Vec<_>>(), vec![6, 7]);
};
let index = make_index();
add_documents(&index);
set_filterable_fields(&index);
check_ok(&index);
let index = make_index();
set_filterable_fields(&index);
add_documents(&index);
check_ok(&index);
}
#[test]
fn primary_key_must_not_contain_floats() {
let tmp = tempfile::tempdir().unwrap();

12
milli/src/update/index_documents/typed_chunk.rs
View File

@ -35,6 +35,7 @@ pub(crate) enum TypedChunk {
WordPairProximityDocids(grenad::Reader<File>),
FieldIdFacetStringDocids(grenad::Reader<File>),
FieldIdFacetNumberDocids(grenad::Reader<File>),
FieldIdFacetExistsDocids(grenad::Reader<File>),
GeoPoints(grenad::Reader<File>),
}
@ -146,6 +147,17 @@ pub(crate) fn write_typed_chunk_into_index(
)?;
is_merged_database = true;
}
TypedChunk::FieldIdFacetExistsDocids(facet_id_exists_docids) => {
append_entries_into_database(
facet_id_exists_docids,
&index.facet_id_exists_docids,
wtxn,
index_is_empty,
|value, _buffer| Ok(value),
merge_cbo_roaring_bitmaps,
)?;
is_merged_database = true;
}
TypedChunk::WordPairProximityDocids(word_pair_proximity_docids_iter) => {
append_entries_into_database(
word_pair_proximity_docids_iter,

30
milli/tests/assets/test_set.ndjson
View File

@ -1,17 +1,17 @@
{"id":"A","word_rank":0,"typo_rank":1,"proximity_rank":15,"attribute_rank":505,"exact_rank":5,"asc_desc_rank":0,"sort_by_rank":0,"geo_rank":43,"title":"hell o","description":"hell o is the fourteenth episode of the american television series glee performing songs with this word","tag":"blue","_geo": { "lat": 50.62984446145472, "lng": 3.085712705162039 },"":""}
{"id":"B","word_rank":2,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":4,"asc_desc_rank":1,"sort_by_rank":2,"geo_rank":191,"title":"hello","description":"hello is a song recorded by english singer songwriter adele","tag":"red","_geo": { "lat": 50.63047567664291, "lng": 3.088852230809636 },"":""}
{"id":"C","word_rank":0,"typo_rank":1,"proximity_rank":8,"attribute_rank":336,"exact_rank":4,"asc_desc_rank":2,"sort_by_rank":0,"geo_rank":283,"title":"hell on earth","description":"hell on earth is the third studio album by american hip hop duo mobb deep","tag":"blue","_geo": { "lat": 50.6321800003937, "lng": 3.088331882262139 },"":""}
{"id":"D","word_rank":0,"typo_rank":1,"proximity_rank":10,"attribute_rank":757,"exact_rank":4,"asc_desc_rank":3,"sort_by_rank":2,"geo_rank":1381,"title":"hell on wheels tv series","description":"the construction of the first transcontinental railroad across the united states in the world","tag":"red","_geo": { "lat": 50.63728851135729, "lng": 3.0703951595971626 },"":""}
{"id":"E","word_rank":2,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":4,"asc_desc_rank":4,"sort_by_rank":1,"geo_rank":1979,"title":"hello kitty","description":"also known by her full name kitty white is a fictional character produced by the japanese company sanrio","tag":"green","_geo": { "lat": 50.64264610511925, "lng": 3.0665099941857634 },"":""}
{"id":"F","word_rank":2,"typo_rank":1,"proximity_rank":0,"attribute_rank":1017,"exact_rank":5,"asc_desc_rank":5,"sort_by_rank":0,"geo_rank":65022,"title":"laptop orchestra","description":"a laptop orchestra lork or lo is a chamber music ensemble consisting primarily of laptops like helo huddersfield experimental laptop orchestra","tag":"blue","_geo": { "lat": 51.05028653642387, "lng": 3.7301072771642096 },"":""}
{"id":"G","word_rank":1,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":3,"asc_desc_rank":5,"sort_by_rank":2,"geo_rank":34692,"title":"hello world film","description":"hello world is a 2019 japanese animated sci fi romantic drama film directed by tomohiko ito and produced by graphinica","tag":"red","_geo": { "lat": 50.78776041427129, "lng": 2.661201766290338 },"":""}
{"id":"H","word_rank":1,"typo_rank":0,"proximity_rank":1,"attribute_rank":0,"exact_rank":3,"asc_desc_rank":4,"sort_by_rank":1,"geo_rank":202182,"title":"world hello day","description":"holiday observed on november 21 to express that conflicts should be resolved through communication rather than the use of force","tag":"green","_geo": { "lat": 48.875617484531965, "lng": 2.346747821504194 },"":""}
{"id":"A","word_rank":0,"typo_rank":1,"proximity_rank":15,"attribute_rank":505,"exact_rank":5,"asc_desc_rank":0,"sort_by_rank":0,"geo_rank":43,"title":"hell o","description":"hell o is the fourteenth episode of the american television series glee performing songs with this word","tag":"blue","_geo": { "lat": 50.62984446145472, "lng": 3.085712705162039 },"":"", "opt1": [null]}
{"id":"B","word_rank":2,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":4,"asc_desc_rank":1,"sort_by_rank":2,"geo_rank":191,"title":"hello","description":"hello is a song recorded by english singer songwriter adele","tag":"red","_geo": { "lat": 50.63047567664291, "lng": 3.088852230809636 },"":"", "opt1": []}
{"id":"C","word_rank":0,"typo_rank":1,"proximity_rank":8,"attribute_rank":336,"exact_rank":4,"asc_desc_rank":2,"sort_by_rank":0,"geo_rank":283,"title":"hell on earth","description":"hell on earth is the third studio album by american hip hop duo mobb deep","tag":"blue","_geo": { "lat": 50.6321800003937, "lng": 3.088331882262139 },"":"", "opt1": null}
{"id":"D","word_rank":0,"typo_rank":1,"proximity_rank":10,"attribute_rank":757,"exact_rank":4,"asc_desc_rank":3,"sort_by_rank":2,"geo_rank":1381,"title":"hell on wheels tv series","description":"the construction of the first transcontinental railroad across the united states in the world","tag":"red","_geo": { "lat": 50.63728851135729, "lng": 3.0703951595971626 },"":"", "opt1": 4}
{"id":"E","word_rank":2,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":4,"asc_desc_rank":4,"sort_by_rank":1,"geo_rank":1979,"title":"hello kitty","description":"also known by her full name kitty white is a fictional character produced by the japanese company sanrio","tag":"green","_geo": { "lat": 50.64264610511925, "lng": 3.0665099941857634 },"":"", "opt1": "E"}
{"id":"F","word_rank":2,"typo_rank":1,"proximity_rank":0,"attribute_rank":1017,"exact_rank":5,"asc_desc_rank":5,"sort_by_rank":0,"geo_rank":65022,"title":"laptop orchestra","description":"a laptop orchestra lork or lo is a chamber music ensemble consisting primarily of laptops like helo huddersfield experimental laptop orchestra","tag":"blue","_geo": { "lat": 51.05028653642387, "lng": 3.7301072771642096 },"":"", "opt1": ["F"]}
{"id":"G","word_rank":1,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":3,"asc_desc_rank":5,"sort_by_rank":2,"geo_rank":34692,"title":"hello world film","description":"hello world is a 2019 japanese animated sci fi romantic drama film directed by tomohiko ito and produced by graphinica","tag":"red","_geo": { "lat": 50.78776041427129, "lng": 2.661201766290338 },"":"", "opt1": [7]}
{"id":"H","word_rank":1,"typo_rank":0,"proximity_rank":1,"attribute_rank":0,"exact_rank":3,"asc_desc_rank":4,"sort_by_rank":1,"geo_rank":202182,"title":"world hello day","description":"holiday observed on november 21 to express that conflicts should be resolved through communication rather than the use of force","tag":"green","_geo": { "lat": 48.875617484531965, "lng": 2.346747821504194 },"":"", "opt1": ["H", 8]}
{"id":"I","word_rank":0,"typo_rank":0,"proximity_rank":8,"attribute_rank":338,"exact_rank":3,"asc_desc_rank":3,"sort_by_rank":0,"geo_rank":740667,"title":"hello world song","description":"hello world is a song written by tom douglas tony lane and david lee and recorded by american country music group lady antebellum","tag":"blue","_geo": { "lat": 43.973998070351065, "lng": 3.4661837318345032 },"":""}
{"id":"J","word_rank":1,"typo_rank":0,"proximity_rank":1,"attribute_rank":1,"exact_rank":3,"asc_desc_rank":2,"sort_by_rank":1,"geo_rank":739020,"title":"hello cruel world","description":"hello cruel world is an album by new zealand band tall dwarfs","tag":"green","_geo": { "lat": 43.98920130353838, "lng": 3.480519311627928 },"":""}
{"id":"K","word_rank":0,"typo_rank":2,"proximity_rank":9,"attribute_rank":670,"exact_rank":5,"asc_desc_rank":1,"sort_by_rank":2,"geo_rank":738830,"title":"hallo creation system","description":"in few word hallo was a construction toy created by the american company mattel to engage girls in construction play","tag":"red","_geo": { "lat": 43.99155030238669, "lng": 3.503453528249425 },"":""}
{"id":"L","word_rank":0,"typo_rank":0,"proximity_rank":2,"attribute_rank":250,"exact_rank":4,"asc_desc_rank":0,"sort_by_rank":0,"geo_rank":737861,"title":"good morning world","description":"good morning world is an american sitcom broadcast on cbs tv during the 1967 1968 season","tag":"blue","_geo": { "lat": 44.000507750283695, "lng": 3.5116812040621572 },"":""}
{"id":"M","word_rank":0,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":0,"asc_desc_rank":0,"sort_by_rank":2,"geo_rank":739203,"title":"hello world america","description":"a perfect match for a perfect engine using the query hello world america","tag":"red","_geo": { "lat": 43.99150729038736, "lng": 3.606143957295055 },"":""}
{"id":"N","word_rank":0,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":1,"asc_desc_rank":4,"sort_by_rank":1,"geo_rank":9499586,"title":"hello world america unleashed","description":"a very good match for a very good engine using the query hello world america","tag":"green","_geo": { "lat": 35.511540843367115, "lng": 138.764368875787 },"":""}
{"id":"O","word_rank":0,"typo_rank":0,"proximity_rank":0,"attribute_rank":10,"exact_rank":0,"asc_desc_rank":6,"sort_by_rank":0,"geo_rank":9425163,"title":"a perfect match for a perfect engine using the query hello world america","description":"hello world america","tag":"blue","_geo": { "lat": 35.00536702277189, "lng": 135.76118763940391 },"":""}
{"id":"P","word_rank":0,"typo_rank":0,"proximity_rank":0,"attribute_rank":12,"exact_rank":1,"asc_desc_rank":3,"sort_by_rank":2,"geo_rank":9422437,"title":"a very good match for a very good engine using the query hello world america","description":"hello world america unleashed","tag":"red","_geo": { "lat": 35.06462306367058, "lng": 135.8338440354251 },"":""}
{"id":"J","word_rank":1,"typo_rank":0,"proximity_rank":1,"attribute_rank":1,"exact_rank":3,"asc_desc_rank":2,"sort_by_rank":1,"geo_rank":739020,"title":"hello cruel world","description":"hello cruel world is an album by new zealand band tall dwarfs","tag":"green","_geo": { "lat": 43.98920130353838, "lng": 3.480519311627928 },"":"", "opt1": {}}
{"id":"K","word_rank":0,"typo_rank":2,"proximity_rank":9,"attribute_rank":670,"exact_rank":5,"asc_desc_rank":1,"sort_by_rank":2,"geo_rank":738830,"title":"hallo creation system","description":"in few word hallo was a construction toy created by the american company mattel to engage girls in construction play","tag":"red","_geo": { "lat": 43.99155030238669, "lng": 3.503453528249425 },"":"", "opt1": [{"opt2": 11}] }
{"id":"L","word_rank":0,"typo_rank":0,"proximity_rank":2,"attribute_rank":250,"exact_rank":4,"asc_desc_rank":0,"sort_by_rank":0,"geo_rank":737861,"title":"good morning world","description":"good morning world is an american sitcom broadcast on cbs tv during the 1967 1968 season","tag":"blue","_geo": { "lat": 44.000507750283695, "lng": 3.5116812040621572 },"":"", "opt1": {"opt2": [12]}}
{"id":"M","word_rank":0,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":0,"asc_desc_rank":0,"sort_by_rank":2,"geo_rank":739203,"title":"hello world america","description":"a perfect match for a perfect engine using the query hello world america","tag":"red","_geo": { "lat": 43.99150729038736, "lng": 3.606143957295055 },"":"", "opt1": [13, [{"opt2": null}]]}
{"id":"N","word_rank":0,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":1,"asc_desc_rank":4,"sort_by_rank":1,"geo_rank":9499586,"title":"hello world america unleashed","description":"a very good match for a very good engine using the query hello world america","tag":"green","_geo": { "lat": 35.511540843367115, "lng": 138.764368875787 },"":"", "opt1": {"a": 1, "opt2": {"opt3": 14}} }
{"id":"O","word_rank":0,"typo_rank":0,"proximity_rank":0,"attribute_rank":10,"exact_rank":0,"asc_desc_rank":6,"sort_by_rank":0,"geo_rank":9425163,"title":"a perfect match for a perfect engine using the query hello world america","description":"hello world america","tag":"blue","_geo": { "lat": 35.00536702277189, "lng": 135.76118763940391 },"":"", "opt1": [[[[]]]] }
{"id":"P","word_rank":0,"typo_rank":0,"proximity_rank":0,"attribute_rank":12,"exact_rank":1,"asc_desc_rank":3,"sort_by_rank":2,"geo_rank":9422437,"title":"a very good match for a very good engine using the query hello world america","description":"hello world america unleashed","tag":"red","_geo": { "lat": 35.06462306367058, "lng": 135.8338440354251 },"":"", "opt1.opt2": 16}
{"id":"Q","word_rank":1,"typo_rank":0,"proximity_rank":0,"attribute_rank":0,"exact_rank":3,"asc_desc_rank":2,"sort_by_rank":1,"geo_rank":9339230,"title":"hello world","description":"a hello world program generally is a computer program that outputs or displays the message hello world","tag":"green","_geo": { "lat": 34.39548365683149, "lng": 132.4535960928883 },"":""}

6
milli/tests/search/filters.rs
View File

@ -80,3 +80,9 @@ test_filter!(
lower_complex_filter_2,
vec![Left(vec!["tag=red", "tag=green"]), Left(vec!["asc_desc_rank<3", "asc_desc_rank<1"])]
);
test_filter!(exists_filter_1, vec![Right("opt1 EXISTS")]);
test_filter!(exists_filter_1_not, vec![Right("opt1 NOT EXISTS")]);
test_filter!(exists_filter_1_not_alt, vec![Right("NOT opt1 EXISTS")]);
test_filter!(exists_filter_1_double_not, vec![Right("NOT opt1 NOT EXISTS")]);
test_filter!(exists_filter_2, vec![Right("opt1.opt2 EXISTS")]);

55
milli/tests/search/mod.rs
View File

@ -9,8 +9,7 @@ use maplit::{hashmap, hashset};
use milli::documents::{DocumentsBatchBuilder, DocumentsBatchReader};
use milli::update::{IndexDocuments, IndexDocumentsConfig, IndexerConfig, Settings};
use milli::{AscDesc, Criterion, DocumentId, Index, Member, Object};
use serde::Deserialize;
use serde_json::Deserializer;
use serde::{Deserialize, Deserializer};
use slice_group_by::GroupBy;
mod distinct;
@ -44,6 +43,8 @@ pub fn setup_search_index_with_criteria(criteria: &[Criterion]) -> Index {
S("tag"),
S("asc_desc_rank"),
S("_geo"),
S("opt1"),
S("opt1.opt2")
});
builder.set_sortable_fields(hashset! {
S("tag"),
@ -65,7 +66,7 @@ pub fn setup_search_index_with_criteria(criteria: &[Criterion]) -> Index {
let mut documents_builder = DocumentsBatchBuilder::new(Vec::new());
let reader = Cursor::new(CONTENT.as_bytes());
for result in Deserializer::from_reader(reader).into_iter::<Object>() {
for result in serde_json::Deserializer::from_reader(reader).into_iter::<Object>() {
let object = result.unwrap();
documents_builder.append_json_object(&object).unwrap();
}
@ -194,12 +195,44 @@ fn execute_filter(filter: &str, document: &TestDocument) -> Option<String> {
id = (document.geo_rank < 100000).then(|| document.id.clone());
} else if filter.starts_with("NOT _geoRadius") {
id = (document.geo_rank > 1000000).then(|| document.id.clone());
} else if matches!(filter, "opt1 EXISTS" | "NOT opt1 NOT EXISTS") {
id = document.opt1.is_some().then(|| document.id.clone());
} else if matches!(filter, "NOT opt1 EXISTS" | "opt1 NOT EXISTS") {
id = document.opt1.is_none().then(|| document.id.clone());
} else if matches!(filter, "opt1.opt2 EXISTS") {
if document.opt1opt2.is_some() {
id = Some(document.id.clone());
} else if let Some(opt1) = &document.opt1 {
id = contains_key_rec(opt1, "opt2").then(|| document.id.clone());
}
}
id
}
pub fn contains_key_rec(v: &serde_json::Value, key: &str) -> bool {
match v {
serde_json::Value::Array(v) => {
for v in v.iter() {
if contains_key_rec(v, key) {
return true;
}
}
false
}
serde_json::Value::Object(v) => {
for (k, v) in v.iter() {
if k == key || contains_key_rec(v, key) {
return true;
}
}
false
}
_ => false,
}
}
pub fn expected_filtered_ids(filters: Vec<Either<Vec<&str>, &str>>) -> HashSet<String> {
let dataset: HashSet<TestDocument> =
let dataset: Vec<TestDocument> =
serde_json::Deserializer::from_str(CONTENT).into_iter().map(|r| r.unwrap()).collect();
let mut filtered_ids: HashSet<_> = dataset.iter().map(|d| d.id.clone()).collect();
@ -227,7 +260,7 @@ pub fn expected_filtered_ids(filters: Vec<Either<Vec<&str>, &str>>) -> HashSet<S
filtered_ids
}
#[derive(Debug, Clone, Deserialize, PartialEq, Eq, Hash)]
#[derive(Debug, Clone, Deserialize, PartialEq, Eq)]
pub struct TestDocument {
pub id: String,
pub word_rank: u32,
@ -241,4 +274,16 @@ pub struct TestDocument {
pub title: String,
pub description: String,
pub tag: String,
#[serde(default, deserialize_with = "some_option")]
pub opt1: Option<serde_json::Value>,
#[serde(default, deserialize_with = "some_option", rename = "opt1.opt2")]
pub opt1opt2: Option<serde_json::Value>,
}
fn some_option<'de, D>(deserializer: D) -> Result<Option<serde_json::Value>, D::Error>
where
D: Deserializer<'de>,
{
let result = serde_json::Value::deserialize(deserializer)?;
Ok(Some(result))
}