503 lines
19 KiB
Rust

use std::cell::RefCell;
use std::collections::HashSet;
use std::ops::DerefMut as _;
use bumpalo::collections::Vec as BVec;
use bumpalo::Bump;
use hashbrown::HashMap;
use serde_json::Value;
use super::super::cache::BalancedCaches;
use super::facet_document::extract_document_facets;
use super::FacetKind;
use crate::fields_ids_map::metadata::Metadata;
use crate::filterable_attributes_rules::match_faceted_field;
use crate::heed_codec::facet::OrderedF64Codec;
use crate::update::del_add::DelAdd;
use crate::update::new::channel::FieldIdDocidFacetSender;
use crate::update::new::extract::perm_json_p;
use crate::update::new::indexer::document_changes::{
extract, DocumentChangeContext, DocumentChanges, Extractor, IndexingContext,
};
use crate::update::new::ref_cell_ext::RefCellExt as _;
use crate::update::new::steps::IndexingStep;
use crate::update::new::thread_local::{FullySend, ThreadLocal};
use crate::update::new::DocumentChange;
use crate::update::GrenadParameters;
use crate::{DocumentId, FieldId, FilterableAttributesRule, Result, MAX_FACET_VALUE_LENGTH};
pub struct FacetedExtractorData<'a, 'b> {
sender: &'a FieldIdDocidFacetSender<'a, 'b>,
grenad_parameters: &'a GrenadParameters,
buckets: usize,
filterable_attributes: &'a [FilterableAttributesRule],
sortable_fields: &'a HashSet<String>,
asc_desc_fields: &'a HashSet<String>,
distinct_field: &'a Option<String>,
is_geo_enabled: bool,
}
impl<'a, 'b, 'extractor> Extractor<'extractor> for FacetedExtractorData<'a, 'b> {
type Data = RefCell<BalancedCaches<'extractor>>;
fn init_data(&self, extractor_alloc: &'extractor Bump) -> Result<Self::Data> {
Ok(RefCell::new(BalancedCaches::new_in(
self.buckets,
self.grenad_parameters.max_memory_by_thread(),
extractor_alloc,
)))
}
fn process<'doc>(
&self,
changes: impl Iterator<Item = Result<DocumentChange<'doc>>>,
context: &DocumentChangeContext<Self::Data>,
) -> Result<()> {
for change in changes {
let change = change?;
FacetedDocidsExtractor::extract_document_change(
context,
self.filterable_attributes,
self.sortable_fields,
self.asc_desc_fields,
self.distinct_field,
self.is_geo_enabled,
change,
self.sender,
)?
}
Ok(())
}
}
pub struct FacetedDocidsExtractor;
impl FacetedDocidsExtractor {
#[allow(clippy::too_many_arguments)]
fn extract_document_change(
context: &DocumentChangeContext<RefCell<BalancedCaches>>,
filterable_attributes: &[FilterableAttributesRule],
sortable_fields: &HashSet<String>,
asc_desc_fields: &HashSet<String>,
distinct_field: &Option<String>,
is_geo_enabled: bool,
document_change: DocumentChange,
sender: &FieldIdDocidFacetSender,
) -> Result<()> {
let index = context.index;
let rtxn = &context.rtxn;
let mut new_fields_ids_map = context.new_fields_ids_map.borrow_mut_or_yield();
let mut cached_sorter = context.data.borrow_mut_or_yield();
let mut del_add_facet_value = DelAddFacetValue::new(&context.doc_alloc);
let docid = document_change.docid();
let res = match document_change {
DocumentChange::Deletion(inner) => extract_document_facets(
inner.current(rtxn, index, context.db_fields_ids_map)?,
inner.external_document_id(),
new_fields_ids_map.deref_mut(),
filterable_attributes,
sortable_fields,
asc_desc_fields,
distinct_field,
is_geo_enabled,
&mut |fid, meta, depth, value| {
Self::facet_fn_with_options(
&context.doc_alloc,
cached_sorter.deref_mut(),
BalancedCaches::insert_del_u32,
&mut del_add_facet_value,
DelAddFacetValue::insert_del,
docid,
fid,
meta,
filterable_attributes,
depth,
value,
)
},
),
DocumentChange::Update(inner) => {
let has_changed = inner.has_changed_for_fields(
&mut |field_name| {
match_faceted_field(
field_name,
filterable_attributes,
sortable_fields,
asc_desc_fields,
distinct_field,
)
},
rtxn,
index,
context.db_fields_ids_map,
)?;
let has_changed_for_geo_fields =
inner.has_changed_for_geo_fields(rtxn, index, context.db_fields_ids_map)?;
if !has_changed && !has_changed_for_geo_fields {
return Ok(());
}
extract_document_facets(
inner.current(rtxn, index, context.db_fields_ids_map)?,
inner.external_document_id(),
new_fields_ids_map.deref_mut(),
filterable_attributes,
sortable_fields,
asc_desc_fields,
distinct_field,
is_geo_enabled,
&mut |fid, meta, depth, value| {
Self::facet_fn_with_options(
&context.doc_alloc,
cached_sorter.deref_mut(),
BalancedCaches::insert_del_u32,
&mut del_add_facet_value,
DelAddFacetValue::insert_del,
docid,
fid,
meta,
filterable_attributes,
depth,
value,
)
},
)?;
extract_document_facets(
inner.merged(rtxn, index, context.db_fields_ids_map)?,
inner.external_document_id(),
new_fields_ids_map.deref_mut(),
filterable_attributes,
sortable_fields,
asc_desc_fields,
distinct_field,
is_geo_enabled,
&mut |fid, meta, depth, value| {
Self::facet_fn_with_options(
&context.doc_alloc,
cached_sorter.deref_mut(),
BalancedCaches::insert_add_u32,
&mut del_add_facet_value,
DelAddFacetValue::insert_add,
docid,
fid,
meta,
filterable_attributes,
depth,
value,
)
},
)
}
DocumentChange::Insertion(inner) => extract_document_facets(
inner.inserted(),
inner.external_document_id(),
new_fields_ids_map.deref_mut(),
filterable_attributes,
sortable_fields,
asc_desc_fields,
distinct_field,
is_geo_enabled,
&mut |fid, meta, depth, value| {
Self::facet_fn_with_options(
&context.doc_alloc,
cached_sorter.deref_mut(),
BalancedCaches::insert_add_u32,
&mut del_add_facet_value,
DelAddFacetValue::insert_add,
docid,
fid,
meta,
filterable_attributes,
depth,
value,
)
},
),
};
del_add_facet_value.send_data(docid, sender, &context.doc_alloc).unwrap();
res
}
#[allow(clippy::too_many_arguments)]
fn facet_fn_with_options<'extractor, 'doc>(
doc_alloc: &'doc Bump,
cached_sorter: &mut BalancedCaches<'extractor>,
cache_fn: impl Fn(&mut BalancedCaches<'extractor>, &[u8], u32) -> Result<()>,
del_add_facet_value: &mut DelAddFacetValue<'doc>,
facet_fn: impl Fn(&mut DelAddFacetValue<'doc>, FieldId, BVec<'doc, u8>, FacetKind),
docid: DocumentId,
fid: FieldId,
meta: Metadata,
filterable_attributes: &[FilterableAttributesRule],
depth: perm_json_p::Depth,
value: &Value,
) -> Result<()> {
// if the field is not faceted, do nothing
if !meta.is_faceted(filterable_attributes) {
return Ok(());
}
let features = meta.filterable_attributes_features(filterable_attributes);
let mut buffer = BVec::new_in(doc_alloc);
// Exists
// key: fid
buffer.push(FacetKind::Exists as u8);
buffer.extend_from_slice(&fid.to_be_bytes());
cache_fn(cached_sorter, &buffer, docid)?;
match value {
// Number
// key: fid - level - orderedf64 - originalf64
Value::Number(number) => {
let mut ordered = [0u8; 16];
if number
.as_f64()
.and_then(|n| OrderedF64Codec::serialize_into(n, &mut ordered).ok())
.is_some()
{
let mut number = BVec::with_capacity_in(16, doc_alloc);
number.extend_from_slice(&ordered);
facet_fn(del_add_facet_value, fid, number, FacetKind::Number);
buffer.clear();
buffer.push(FacetKind::Number as u8);
buffer.extend_from_slice(&fid.to_be_bytes());
buffer.push(0); // level 0
buffer.extend_from_slice(&ordered);
cache_fn(cached_sorter, &buffer, docid)
} else {
Ok(())
}
}
// String
// key: fid - level - truncated_string
Value::String(s) if !s.is_empty() => {
let mut string = BVec::new_in(doc_alloc);
string.extend_from_slice(s.as_bytes());
facet_fn(del_add_facet_value, fid, string, FacetKind::String);
let normalized = crate::normalize_facet(s);
let truncated = truncate_str(&normalized);
buffer.clear();
buffer.push(FacetKind::String as u8);
buffer.extend_from_slice(&fid.to_be_bytes());
buffer.push(0); // level 0
buffer.extend_from_slice(truncated.as_bytes());
cache_fn(cached_sorter, &buffer, docid)
}
// Bool is handled as a string
Value::Bool(b) => {
let b = if *b { "true" } else { "false" };
let mut string = BVec::new_in(doc_alloc);
string.extend_from_slice(b.as_bytes());
facet_fn(del_add_facet_value, fid, string, FacetKind::String);
buffer.clear();
buffer.push(FacetKind::String as u8);
buffer.extend_from_slice(&fid.to_be_bytes());
buffer.push(0); // level 0
buffer.extend_from_slice(b.as_bytes());
cache_fn(cached_sorter, &buffer, docid)
}
// Null
// key: fid
Value::Null
if depth == perm_json_p::Depth::OnBaseKey && features.is_filterable_null() =>
{
buffer.clear();
buffer.push(FacetKind::Null as u8);
buffer.extend_from_slice(&fid.to_be_bytes());
cache_fn(cached_sorter, &buffer, docid)
}
// Empty
// key: fid
Value::Array(a)
if a.is_empty()
&& depth == perm_json_p::Depth::OnBaseKey
&& features.is_filterable_empty() =>
{
buffer.clear();
buffer.push(FacetKind::Empty as u8);
buffer.extend_from_slice(&fid.to_be_bytes());
cache_fn(cached_sorter, &buffer, docid)
}
Value::String(_)
if depth == perm_json_p::Depth::OnBaseKey && features.is_filterable_empty() =>
{
buffer.clear();
buffer.push(FacetKind::Empty as u8);
buffer.extend_from_slice(&fid.to_be_bytes());
cache_fn(cached_sorter, &buffer, docid)
}
Value::Object(o)
if o.is_empty()
&& depth == perm_json_p::Depth::OnBaseKey
&& features.is_filterable_empty() =>
{
buffer.clear();
buffer.push(FacetKind::Empty as u8);
buffer.extend_from_slice(&fid.to_be_bytes());
cache_fn(cached_sorter, &buffer, docid)
}
// Otherwise, do nothing
_ => Ok(()),
}
}
}
struct DelAddFacetValue<'doc> {
strings: HashMap<
(FieldId, &'doc str),
Option<BVec<'doc, u8>>,
hashbrown::DefaultHashBuilder,
&'doc Bump,
>,
f64s: HashMap<(FieldId, BVec<'doc, u8>), DelAdd, hashbrown::DefaultHashBuilder, &'doc Bump>,
doc_alloc: &'doc Bump,
}
impl<'doc> DelAddFacetValue<'doc> {
fn new(doc_alloc: &'doc Bump) -> Self {
Self { strings: HashMap::new_in(doc_alloc), f64s: HashMap::new_in(doc_alloc), doc_alloc }
}
fn insert_add(&mut self, fid: FieldId, value: BVec<'doc, u8>, kind: FacetKind) {
match kind {
FacetKind::Number => {
let key = (fid, value);
if let Some(DelAdd::Deletion) = self.f64s.get(&key) {
self.f64s.remove(&key);
} else {
self.f64s.insert(key, DelAdd::Addition);
}
}
FacetKind::String => {
if let Ok(s) = std::str::from_utf8(&value) {
let normalized = crate::normalize_facet(s);
let truncated = self.doc_alloc.alloc_str(truncate_str(&normalized));
self.strings.insert((fid, truncated), Some(value));
}
}
_ => (),
}
}
fn insert_del(&mut self, fid: FieldId, value: BVec<'doc, u8>, kind: FacetKind) {
match kind {
FacetKind::Number => {
let key = (fid, value);
if let Some(DelAdd::Addition) = self.f64s.get(&key) {
self.f64s.remove(&key);
} else {
self.f64s.insert(key, DelAdd::Deletion);
}
}
FacetKind::String => {
if let Ok(s) = std::str::from_utf8(&value) {
let normalized = crate::normalize_facet(s);
let truncated = self.doc_alloc.alloc_str(truncate_str(&normalized));
self.strings.insert((fid, truncated), None);
}
}
_ => (),
}
}
fn send_data(
self,
docid: DocumentId,
sender: &FieldIdDocidFacetSender,
doc_alloc: &Bump,
) -> crate::Result<()> {
let mut buffer = bumpalo::collections::Vec::new_in(doc_alloc);
for ((fid, truncated), value) in self.strings {
buffer.clear();
buffer.extend_from_slice(&fid.to_be_bytes());
buffer.extend_from_slice(&docid.to_be_bytes());
buffer.extend_from_slice(truncated.as_bytes());
match &value {
Some(value) => sender.write_facet_string(&buffer, value)?,
None => sender.delete_facet_string(&buffer)?,
}
}
for ((fid, value), deladd) in self.f64s {
buffer.clear();
buffer.extend_from_slice(&fid.to_be_bytes());
buffer.extend_from_slice(&docid.to_be_bytes());
buffer.extend_from_slice(&value);
match deladd {
DelAdd::Deletion => sender.delete_facet_f64(&buffer)?,
DelAdd::Addition => sender.write_facet_f64(&buffer)?,
}
}
Ok(())
}
}
/// Truncates a string to the biggest valid LMDB key size.
fn truncate_str(s: &str) -> &str {
let index = s
.char_indices()
.map(|(idx, _)| idx)
.chain(std::iter::once(s.len()))
.take_while(|idx| idx <= &MAX_FACET_VALUE_LENGTH)
.last();
&s[..index.unwrap_or(0)]
}
impl FacetedDocidsExtractor {
#[tracing::instrument(level = "trace", skip_all, target = "indexing::extract::faceted")]
pub fn run_extraction<'pl, 'fid, 'indexer, 'index, 'extractor, DC: DocumentChanges<'pl>, MSP>(
document_changes: &DC,
indexing_context: IndexingContext<'fid, 'indexer, 'index, MSP>,
extractor_allocs: &'extractor mut ThreadLocal<FullySend<Bump>>,
sender: &FieldIdDocidFacetSender,
step: IndexingStep,
) -> Result<Vec<BalancedCaches<'extractor>>>
where
MSP: Fn() -> bool + Sync,
{
let index = indexing_context.index;
let rtxn = index.read_txn()?;
let filterable_attributes = index.filterable_attributes_rules(&rtxn)?;
let sortable_fields = index.sortable_fields(&rtxn)?;
let asc_desc_fields = index.asc_desc_fields(&rtxn)?;
let distinct_field = index.distinct_field(&rtxn)?.map(|s| s.to_string());
let is_geo_enabled = index.is_geo_enabled(&rtxn)?;
let datastore = ThreadLocal::new();
{
let span =
tracing::trace_span!(target: "indexing::documents::extract", "docids_extraction");
let _entered = span.enter();
let extractor = FacetedExtractorData {
grenad_parameters: indexing_context.grenad_parameters,
buckets: rayon::current_num_threads(),
sender,
filterable_attributes: &filterable_attributes,
sortable_fields: &sortable_fields,
asc_desc_fields: &asc_desc_fields,
distinct_field: &distinct_field,
is_geo_enabled,
};
extract(
document_changes,
&extractor,
indexing_context,
extractor_allocs,
&datastore,
step,
)?;
}
Ok(datastore.into_iter().map(RefCell::into_inner).collect())
}
}