Introduce the Proximity criterion

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Kerollmops 2021-02-22 17:17:01 +01:00
parent 22b84fe543
commit 9bc9b36645
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4 changed files with 301 additions and 8 deletions

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@ -10,6 +10,7 @@ use super::query_tree::{Operation, Query, QueryKind};
pub mod typo; pub mod typo;
pub mod words; pub mod words;
pub mod asc_desc; pub mod asc_desc;
pub mod proximity;
pub trait Criterion { pub trait Criterion {
fn next(&mut self) -> anyhow::Result<Option<CriterionResult>>; fn next(&mut self) -> anyhow::Result<Option<CriterionResult>>;

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@ -0,0 +1,283 @@
use std::collections::HashMap;
use std::mem::take;
use roaring::RoaringBitmap;
use crate::search::query_tree::{maximum_proximity, Operation, Query};
use super::{Candidates, Criterion, CriterionResult, Context, query_docids, query_pair_proximity_docids};
pub struct Proximity<'t> {
ctx: &'t dyn Context,
query_tree: Option<(usize, Operation)>,
proximity: u8,
candidates: Candidates,
bucket_candidates: Option<RoaringBitmap>,
parent: Option<Box<dyn Criterion + 't>>,
candidates_cache: HashMap<(Operation, u8), Vec<(Query, Query, RoaringBitmap)>>,
}
impl<'t> Proximity<'t> {
pub fn initial(
ctx: &'t dyn Context,
query_tree: Option<Operation>,
candidates: Option<RoaringBitmap>,
) -> anyhow::Result<Self> where Self: Sized
{
Ok(Proximity {
ctx,
query_tree: query_tree.map(|op| (maximum_proximity(&op), op)),
proximity: 0,
candidates: candidates.map_or_else(Candidates::default, Candidates::Allowed),
bucket_candidates: None,
parent: None,
candidates_cache: HashMap::new(),
})
}
pub fn new(
ctx: &'t dyn Context,
parent: Box<dyn Criterion + 't>,
) -> anyhow::Result<Self> where Self: Sized
{
Ok(Proximity {
ctx,
query_tree: None,
proximity: 0,
candidates: Candidates::default(),
bucket_candidates: None,
parent: Some(parent),
candidates_cache: HashMap::new(),
})
}
}
impl<'t> Criterion for Proximity<'t> {
fn next(&mut self) -> anyhow::Result<Option<CriterionResult>> {
use Candidates::{Allowed, Forbidden};
loop {
match (&mut self.query_tree, &mut self.candidates) {
(_, Allowed(candidates)) if candidates.is_empty() => {
self.query_tree = None;
self.candidates = Candidates::default();
},
(Some((max_prox, query_tree)), Allowed(candidates)) => {
if self.proximity as usize > *max_prox {
self.query_tree = None;
self.candidates = Candidates::default();
} else {
let mut new_candidates = resolve_candidates(
self.ctx,
&query_tree,
self.proximity,
&mut self.candidates_cache,
)?;
new_candidates.intersect_with(&candidates);
candidates.difference_with(&new_candidates);
self.proximity += 1;
let bucket_candidates = match self.parent {
Some(_) => self.bucket_candidates.take(),
None => Some(new_candidates.clone()),
};
return Ok(Some(CriterionResult {
query_tree: Some(query_tree.clone()),
candidates: new_candidates,
bucket_candidates,
}));
}
},
(Some((max_prox, query_tree)), Forbidden(candidates)) => {
if self.proximity as usize > *max_prox {
self.query_tree = None;
self.candidates = Candidates::default();
} else {
let mut new_candidates = resolve_candidates(
self.ctx,
&query_tree,
self.proximity,
&mut self.candidates_cache,
)?;
new_candidates.difference_with(&candidates);
candidates.union_with(&new_candidates);
self.proximity += 1;
let bucket_candidates = match self.parent {
Some(_) => self.bucket_candidates.take(),
None => Some(new_candidates.clone()),
};
return Ok(Some(CriterionResult {
query_tree: Some(query_tree.clone()),
candidates: new_candidates,
bucket_candidates,
}));
}
},
(None, Allowed(_)) => {
let candidates = take(&mut self.candidates).into_inner();
return Ok(Some(CriterionResult {
query_tree: None,
candidates: candidates.clone(),
bucket_candidates: Some(candidates),
}));
},
(None, Forbidden(_)) => {
match self.parent.as_mut() {
Some(parent) => {
match parent.next()? {
Some(CriterionResult { query_tree, candidates, bucket_candidates }) => {
self.query_tree = query_tree.map(|op| (maximum_proximity(&op), op));
self.proximity = 0;
self.candidates = Candidates::Allowed(candidates);
self.bucket_candidates = bucket_candidates;
},
None => return Ok(None),
}
},
None => return Ok(None),
}
},
}
}
}
}
fn resolve_candidates<'t>(
ctx: &'t dyn Context,
query_tree: &Operation,
proximity: u8,
cache: &mut HashMap<(Operation, u8), Vec<(Query, Query, RoaringBitmap)>>,
) -> anyhow::Result<RoaringBitmap>
{
fn resolve_operation<'t>(
ctx: &'t dyn Context,
query_tree: &Operation,
proximity: u8,
cache: &mut HashMap<(Operation, u8), Vec<(Query, Query, RoaringBitmap)>>,
) -> anyhow::Result<Vec<(Query, Query, RoaringBitmap)>>
{
use Operation::{And, Consecutive, Or, Query};
let result = match query_tree {
And(ops) => mdfs(ctx, ops, proximity, cache)?,
Consecutive(ops) => if proximity == 0 {
mdfs(ctx, ops, 0, cache)?
} else {
Default::default()
},
Or(_, ops) => {
let mut output = Vec::new();
for op in ops {
let result = resolve_operation(ctx, op, proximity, cache)?;
output.extend(result);
}
output
},
Query(q) => if proximity == 0 {
let candidates = query_docids(ctx, q)?;
vec![(q.clone(), q.clone(), candidates)]
} else {
Default::default()
},
};
Ok(result)
}
fn mdfs_pair<'t>(
ctx: &'t dyn Context,
left: &Operation,
right: &Operation,
proximity: u8,
cache: &mut HashMap<(Operation, u8), Vec<(Query, Query, RoaringBitmap)>>,
) -> anyhow::Result<Vec<(Query, Query, RoaringBitmap)>>
{
fn pair_combinations(mana: u8) -> impl Iterator<Item = (u8, u8)> {
(0..=mana).map(move |m| (mana - m, m))
}
let mut output = Vec::new();
for (pair_p, left_right_p) in pair_combinations(proximity) {
for (left_p, right_p) in pair_combinations(left_right_p) {
let left_key = (left.clone(), left_p);
if !cache.contains_key(&left_key) {
let candidates = resolve_operation(ctx, left, left_p, cache)?;
cache.insert(left_key.clone(), candidates);
}
let right_key = (right.clone(), right_p);
if !cache.contains_key(&right_key) {
let candidates = resolve_operation(ctx, right, right_p, cache)?;
cache.insert(right_key.clone(), candidates);
}
let lefts = cache.get(&left_key).unwrap();
let rights = cache.get(&right_key).unwrap();
for (ll, lr, lcandidates) in lefts {
for (rl, rr, rcandidates) in rights {
let mut candidates = query_pair_proximity_docids(ctx, lr, rl, pair_p + 1)?;
if lcandidates.len() < rcandidates.len() {
candidates.intersect_with(lcandidates);
candidates.intersect_with(rcandidates);
} else {
candidates.intersect_with(rcandidates);
candidates.intersect_with(lcandidates);
}
if !candidates.is_empty() {
output.push((ll.clone(), rr.clone(), candidates));
}
}
}
}
}
Ok(output)
}
fn mdfs<'t>(
ctx: &'t dyn Context,
branches: &[Operation],
proximity: u8,
cache: &mut HashMap<(Operation, u8), Vec<(Query, Query, RoaringBitmap)>>,
) -> anyhow::Result<Vec<(Query, Query, RoaringBitmap)>>
{
// Extract the first two elements but gives the tail
// that is just after the first element.
let next = branches.split_first().map(|(h1, t)| {
(h1, t.split_first().map(|(h2, _)| (h2, t)))
});
match next {
Some((head1, Some((head2, [_])))) => mdfs_pair(ctx, head1, head2, proximity, cache),
Some((head1, Some((head2, tail)))) => {
let mut output = Vec::new();
for p in 0..=proximity {
for (lhead, _, head_candidates) in mdfs_pair(ctx, head1, head2, p, cache)? {
if !head_candidates.is_empty() {
for (_, rtail, mut candidates) in mdfs(ctx, tail, proximity - p, cache)? {
candidates.intersect_with(&head_candidates);
if !candidates.is_empty() {
output.push((lhead.clone(), rtail, candidates));
}
}
}
}
}
Ok(output)
},
Some((head1, None)) => resolve_operation(ctx, head1, proximity, cache),
None => return Ok(Default::default()),
}
}
let mut candidates = RoaringBitmap::new();
for (_, _, cds) in resolve_operation(ctx, query_tree, proximity, cache)? {
candidates.union_with(&cds);
}
Ok(candidates)
}

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@ -11,7 +11,7 @@ use once_cell::sync::Lazy;
use roaring::bitmap::RoaringBitmap; use roaring::bitmap::RoaringBitmap;
use crate::search::criteria::{Criterion, CriterionResult}; use crate::search::criteria::{Criterion, CriterionResult};
use crate::search::criteria::{typo::Typo, words::Words, asc_desc::AscDesc}; use crate::search::criteria::{typo::Typo, words::Words, proximity::Proximity};
use crate::{Index, DocumentId}; use crate::{Index, DocumentId};
pub use self::facet::{FacetCondition, FacetDistribution, FacetNumberOperator, FacetStringOperator}; pub use self::facet::{FacetCondition, FacetDistribution, FacetNumberOperator, FacetStringOperator};
@ -91,13 +91,15 @@ impl<'a> Search<'a> {
let criteria_ctx = criteria::HeedContext::new(self.rtxn, self.index)?; let criteria_ctx = criteria::HeedContext::new(self.rtxn, self.index)?;
let typo_criterion = Typo::initial(&criteria_ctx, query_tree, facet_candidates)?; let typo_criterion = Typo::initial(&criteria_ctx, query_tree, facet_candidates)?;
let words_criterion = Words::new(&criteria_ctx, Box::new(typo_criterion))?; let words_criterion = Words::new(&criteria_ctx, Box::new(typo_criterion))?;
let proximity_criterion = Proximity::new(&criteria_ctx, Box::new(words_criterion))?;
// let proximity_criterion = Proximity::initial(&criteria_ctx, query_tree, facet_candidates)?;
let mut criteria = proximity_criterion;
// We sort in descending order on a specific field *by hand*, don't do that at home. // // We sort in descending order on a specific field *by hand*, don't do that at home.
let attr_name = "released-timestamp"; // let attr_name = "released-timestamp";
let fid = self.index.fields_ids_map(self.rtxn)?.id(attr_name).unwrap(); // let fid = self.index.fields_ids_map(self.rtxn)?.id(attr_name).unwrap();
let ftype = *self.index.faceted_fields(self.rtxn)?.get(attr_name).unwrap(); // let ftype = *self.index.faceted_fields(self.rtxn)?.get(attr_name).unwrap();
let desc_criterion = AscDesc::desc(self.index, self.rtxn, Box::new(words_criterion), fid, ftype)?; // let desc_criterion = AscDesc::desc(self.index, self.rtxn, Box::new(words_criterion), fid, ftype)?;
let mut criteria = desc_criterion;
let mut offset = self.offset; let mut offset = self.offset;
let mut limit = self.limit; let mut limit = self.limit;

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@ -79,6 +79,13 @@ impl Operation {
Self::Consecutive(ops) Self::Consecutive(ops)
} }
} }
pub fn query(&self) -> Option<&Query> {
match self {
Operation::Query(query) => Some(query),
_ => None,
}
}
} }
#[derive(Clone, Eq, PartialEq, Hash)] #[derive(Clone, Eq, PartialEq, Hash)]