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Code Issues Releases Wiki Activity

Remove noise in codebase

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This commit is contained in:
Loïc Lecrenier 2023-02-21 13:57:34 +01:00
parent a938fbde4a
commit c8e251bf24
18 changed files with 63 additions and 692 deletions
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8
milli/src/search/new/db_cache.rs
View File

@ -1,7 +1,8 @@
use std::collections::hash_map::Entry;
use fxhash::FxHashMap;
use heed::{types::ByteSlice, RoTxn};
use heed::types::ByteSlice;
use heed::RoTxn;
use crate::{Index, Result};
@ -62,10 +63,7 @@ impl<'transaction> DatabaseCache<'transaction> {
match self.word_pair_proximity_docids.entry(key.clone()) {
Entry::Occupied(bitmap_ptr) => Ok(*bitmap_ptr.get()),
Entry::Vacant(entry) => {
// Note that now, we really want to do a prefix iter over (w1, w2) to get all the possible proximities
// but oh well
//
// Actually, we shouldn'transaction greedily access this DB at all
// We shouldn't greedily access this DB at all
// a DB (w1, w2) -> [proximities] would be much better
// We could even have a DB that is (w1) -> set of words such that (w1, w2) are in proximity
// And if we worked with words encoded as integers, the set of words could be a roaring bitmap

71
milli/src/search/new/graph_based_ranking_rule.rs
View File

@ -1,20 +1,15 @@
use heed::RoTxn;
use roaring::RoaringBitmap;
use crate::{
new::ranking_rule_graph::cheapest_paths::{self, Path},
Index, Result,
};
use super::{
db_cache::DatabaseCache,
ranking_rule_graph::{
cheapest_paths::KCheapestPathsState, edge_docids_cache::EdgeDocidsCache,
empty_paths_cache::EmptyPathsCache, paths_map::PathsMap, RankingRuleGraph,
RankingRuleGraphTrait,
},
QueryGraph, RankingRule, RankingRuleOutput,
};
use super::db_cache::DatabaseCache;
use super::ranking_rule_graph::cheapest_paths::KCheapestPathsState;
use super::ranking_rule_graph::edge_docids_cache::EdgeDocidsCache;
use super::ranking_rule_graph::empty_paths_cache::EmptyPathsCache;
use super::ranking_rule_graph::paths_map::PathsMap;
use super::ranking_rule_graph::{RankingRuleGraph, RankingRuleGraphTrait};
use super::{QueryGraph, RankingRule, RankingRuleOutput};
use crate::new::ranking_rule_graph::cheapest_paths::{self, Path};
use crate::{Index, Result};
pub struct GraphBasedRankingRule<G: RankingRuleGraphTrait> {
state: Option<GraphBasedRankingRuleState<G>>,
@ -43,16 +38,8 @@ impl<'transaction, G: RankingRuleGraphTrait> RankingRule<'transaction, QueryGrap
universe: &RoaringBitmap,
query_graph: &QueryGraph,
) -> Result<()> {
// if let Some(state) = &mut self.state {
// // TODO: update the previous state
// // TODO: update the existing graph incrementally, based on a diff
// } else {
// TODO: update old state instead of starting from scratch
let graph = RankingRuleGraph::build(index, txn, db_cache, query_graph.clone())?;
// println!("Initialized Proximity Ranking Rule.");
// println!("GRAPH:");
// let graphviz = graph.graphviz();
// println!("{graphviz}");
let cheapest_paths_state = KCheapestPathsState::new(&graph);
let state = GraphBasedRankingRuleState {
@ -62,13 +49,7 @@ impl<'transaction, G: RankingRuleGraphTrait> RankingRule<'transaction, QueryGrap
empty_paths_cache: <_>::default(),
};
// let desc = state.graph.graphviz_with_path(
// &state.cheapest_paths_state.as_ref().unwrap().kth_cheapest_path.clone(),
// );
// println!("Cheapest path: {desc}");
self.state = Some(state);
// }
Ok(())
}
@ -86,17 +67,9 @@ impl<'transaction, G: RankingRuleGraphTrait> RankingRule<'transaction, QueryGrap
let Some(cheapest_paths_state) = state.cheapest_paths_state.take() else {
return Ok(None);
};
// println!("Proximity: Next Bucket");
let mut paths = PathsMap::default();
// let desc = state.graph.dot_description_with_path(&cheapest_paths_state.kth_cheapest_path);
// println!("CHeapest Path: {desc}");
// TODO: when does it return None? -> when there is no cheapest path
// How to handle it? -> ... return all document ids from the universe?
//
// TODO: Give an empty_edge and empty_prefix argument to the
// compute_paths_of_next_lowest_cost function
if let Some(next_cheapest_paths_state) = cheapest_paths_state
.compute_paths_of_next_lowest_cost(
&mut state.graph,
@ -107,31 +80,12 @@ impl<'transaction, G: RankingRuleGraphTrait> RankingRule<'transaction, QueryGrap
state.cheapest_paths_state = Some(next_cheapest_paths_state);
} else {
state.cheapest_paths_state = None;
// If returns None if there are no longer any paths to compute
// BUT! paths_map may not be empty, and we need to compute the current bucket still
}
// println!("PATHS: {}", paths.graphviz(&state.graph));
// paths.iterate(|path, cost| {
// let desc = state.graph.graphviz_with_path(&Path { edges: path.clone(), cost: *cost });
// println!("Path to resolve of cost {cost}: {desc}");
// });
// let desc = state.graph.dot_description_with_path(
// &state.cheapest_paths_state.as_ref().unwrap().kth_cheapest_path.clone(),
// );
// println!("Cheapest path: {desc}");
// TODO: verify that this is correct
// If the paths are empty, we should probably return the universe?
// BUT! Is there a case where the paths are empty AND the universe is
// not empty?
if paths.is_empty() {
self.state = None;
return Ok(None);
}
// Here, log all the paths?
let bucket = state.graph.resolve_paths(
index,
@ -142,10 +96,6 @@ impl<'transaction, G: RankingRuleGraphTrait> RankingRule<'transaction, QueryGrap
universe,
paths,
)?;
// The call above also updated the graph such that it doesn't contain the empty edges anymore.
// println!("Resolved all the paths: {bucket:?} from universe {:?}", state.universe);
// let graphviz = state.graph.graphviz();
// println!("{graphviz}");
let next_query_graph = state.graph.query_graph.clone();
@ -160,7 +110,6 @@ impl<'transaction, G: RankingRuleGraphTrait> RankingRule<'transaction, QueryGrap
_txn: &'transaction RoTxn,
_db_cache: &mut DatabaseCache<'transaction>,
) {
// println!("PROXIMITY: end iteration");
self.state = None;
}
}

6
milli/src/search/new/mod.rs
View File

@ -14,10 +14,8 @@ pub use query_graph::*;
pub use ranking_rules::*;
use roaring::RoaringBitmap;
use self::{
db_cache::DatabaseCache,
query_term::{word_derivations, LocatedQueryTerm},
};
use self::db_cache::DatabaseCache;
use self::query_term::{word_derivations, LocatedQueryTerm};
use crate::{Index, Result};
pub enum BitmapOrAllRef<'s> {

111
milli/src/search/new/query_graph.rs
View File

@ -1,13 +1,12 @@
use std::collections::HashSet;
use std::fmt;
use std::fmt::Debug;
use std::{collections::HashSet, fmt};
use heed::RoTxn;
use roaring::RoaringBitmap;
use super::{
db_cache::DatabaseCache,
query_term::{LocatedQueryTerm, QueryTerm, WordDerivations},
};
use super::db_cache::DatabaseCache;
use super::query_term::{LocatedQueryTerm, QueryTerm, WordDerivations};
use crate::{Index, Result};
#[derive(Clone)]
@ -20,8 +19,7 @@ pub enum QueryNode {
#[derive(Debug, Clone)]
pub struct Edges {
// TODO: use a tiny bitset instead
// something like a simple Vec<u8> where most queries will see a vector of one element
// TODO: use a tiny bitset instead, something like a simple Vec<u8> where most queries will see a vector of one element
pub predecessors: RoaringBitmap,
pub successors: RoaringBitmap,
}
@ -75,7 +73,6 @@ impl QueryGraph {
impl QueryGraph {
// TODO: return the list of all matching words here as well
pub fn from_query<'transaction>(
index: &Index,
txn: &RoTxn,
@ -94,9 +91,7 @@ impl QueryGraph {
let (mut prev2, mut prev1, mut prev0): (Vec<u32>, Vec<u32>, Vec<u32>) =
(vec![], vec![], vec![graph.root_node]);
// TODO: add all the word derivations found in the fst
// and add split words / support phrases
// TODO: split words / synonyms
for length in 1..=query.len() {
let query = &query[..length];
@ -279,18 +274,6 @@ impl Debug for QueryNode {
}
}
/*
TODO:
1. Find the minimum number of words to check to resolve the 10 query trees at once.
(e.g. just 0 | 01 | 012 )
2. Simplify the query tree after removal of a node ✅
3. Create the proximity graph ✅
4. Assign different proximities for the ngrams ✅
5. Walk the proximity graph, finding all the potential paths of weight N from START to END ✅
(without checking the bitmaps)
*/
impl QueryGraph {
pub fn graphviz(&self) -> String {
let mut desc = String::new();
@ -317,91 +300,9 @@ node [shape = "record"]
for edge in self.edges[node].successors.iter() {
desc.push_str(&format!("{node} -> {edge};\n"));
}
// for edge in self.edges[node].incoming.iter() {
// desc.push_str(&format!("{node} -> {edge} [color = grey];\n"));
// }
}
desc.push('}');
desc
}
}
#[cfg(test)]
mod tests {
use charabia::Tokenize;
use super::{LocatedQueryTerm, QueryGraph, QueryNode};
use crate::index::tests::TempIndex;
use crate::new::db_cache::DatabaseCache;
use crate::search::new::query_term::word_derivations;
#[test]
fn build_graph() {
let mut index = TempIndex::new();
index.index_documents_config.autogenerate_docids = true;
index
.update_settings(|s| {
s.set_searchable_fields(vec!["text".to_owned()]);
})
.unwrap();
index
.add_documents(documents!({
"text": "0 1 2 3 4 5 6 7 01 23 234 56 79 709 7356",
}))
.unwrap();
// let fst = fst::Set::from_iter(["01", "23", "234", "56"]).unwrap();
let txn = index.read_txn().unwrap();
let mut db_cache = DatabaseCache::default();
let fst = index.words_fst(&txn).unwrap();
let query = LocatedQueryTerm::from_query(
"0 no 1 2 3 4 5 6 7".tokenize(),
None,
|word, is_prefix| {
word_derivations(
&index,
&txn,
word,
if word.len() < 3 {
0
} else if word.len() < 6 {
1
} else {
2
},
is_prefix,
&fst,
)
},
)
.unwrap();
let graph = QueryGraph::from_query(&index, &txn, &mut db_cache, query).unwrap();
println!("{}", graph.graphviz());
// let positions_to_remove = vec![3, 6, 0, 4];
// for p in positions_to_remove {
// graph.remove_words_at_position(p);
// println!("{}", graph.graphviz());
// }
// let proximities = |w1: &str, w2: &str| -> Vec<i8> {
// if matches!((w1, w2), ("56", "7")) {
// vec![]
// } else {
// vec![1, 2]
// }
// };
// let prox_graph = ProximityGraph::from_query_graph(graph, proximities);
// println!("{}", prox_graph.graphviz());
}
}
// fn remove_element_from_vector(v: &mut Vec<usize>, el: usize) {
// let position = v.iter().position(|&x| x == el).unwrap();
// v.swap_remove(position);
// }

4
milli/src/search/new/query_term.rs
View File

@ -17,10 +17,6 @@ use crate::{Index, Result};
#[derive(Debug, Clone)]
pub struct WordDerivations {
// TODO: should have a list for the words corresponding to the prefix as well!
// This is to implement the `exactness` ranking rule.
// However, we could also consider every term in `zero_typo` (except first one) to
// be words of that the original word is a prefix of
pub original: String,
pub zero_typo: Vec<String>,
pub one_typo: Vec<String>,

2
milli/src/search/new/ranking_rule_graph/build.rs
View File

@ -46,8 +46,6 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
}
}
}
// ranking_rule_graph.simplify();
Ok(ranking_rule_graph)
}
}

7
milli/src/search/new/ranking_rule_graph/cheapest_paths.rs
View File

@ -3,10 +3,9 @@ use std::collections::{BTreeMap, HashSet};
use itertools::Itertools;
use roaring::RoaringBitmap;
use super::{
empty_paths_cache::EmptyPathsCache, paths_map::PathsMap, Edge, RankingRuleGraph,
RankingRuleGraphTrait,
};
use super::empty_paths_cache::EmptyPathsCache;
use super::paths_map::PathsMap;
use super::{Edge, RankingRuleGraph, RankingRuleGraphTrait};
#[derive(Debug, Clone, PartialEq, Eq, Hash)]
pub struct Path {

6
milli/src/search/new/ranking_rule_graph/edge_docids_cache.rs
View File

@ -18,18 +18,12 @@ use crate::{Index, Result};
pub struct EdgeDocidsCache<G: RankingRuleGraphTrait> {
pub cache: FxHashMap<u32, RoaringBitmap>,
// TODO: There is a big difference between `cache`, which is always valid, and
// `empty_path_prefixes`, which is only accurate for a particular universe
// ALSO, we should have a universe-specific `empty_edge` to use
// pub empty_path_prefixes: HashSet<Vec<u32>>,
_phantom: PhantomData<G>,
}
impl<G: RankingRuleGraphTrait> Default for EdgeDocidsCache<G> {
fn default() -> Self {
Self {
cache: Default::default(),
// empty_path_prefixes: Default::default(),
_phantom: Default::default(),
}
}

59
milli/src/search/new/ranking_rule_graph/mod.rs
View File

@ -5,7 +5,6 @@ pub mod empty_paths_cache;
pub mod paths_map;
pub mod proximity;
pub mod resolve_paths;
use std::collections::{BTreeSet, HashSet};
use std::ops::ControlFlow;
@ -86,22 +85,10 @@ pub struct RankingRuleGraph<G: RankingRuleGraphTrait> {
pub node_edges: Vec<RoaringBitmap>,
pub successors: Vec<RoaringBitmap>,
// to get the edges between two nodes:
// TODO: to get the edges between two nodes:
// 1. get node_outgoing_edges[from]
// 2. get node_incoming_edges[to]
// 3. take intersection betweem the two
// TODO: node edges could be different I guess
// something like:
// pub node_edges: Vec<BitSet>
// where each index is the result of:
// the successor index in the top 16 bits, the edge index in the bottom 16 bits
// TODO:
// node_successors?
// pub removed_edges: HashSet<u32>,
// pub tmp_removed_edges: HashSet<u32>,
}
impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
// Visit all edges between the two given nodes in order of increasing cost.
@ -142,50 +129,6 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
}
self.successors[from_node as usize] = new_successors_from_node;
}
// pub fn remove_nodes(&mut self, nodes: &[usize]) {
// for &node in nodes {
// let edge_indices = &mut self.node_edges[node];
// for edge_index in edge_indices.iter() {
// self.all_edges[*edge_index] = None;
// }
// edge_indices.clear();
// let preds = &self.query_graph.edges[node].incoming;
// for pred in preds {
// let edge_indices = &mut self.node_edges[*pred];
// for edge_index in edge_indices.iter() {
// let edge_opt = &mut self.all_edges[*edge_index];
// let Some(edge) = edge_opt else { continue; };
// if edge.to_node == node {
// *edge_opt = None;
// }
// }
// panic!("remove nodes is incorrect at the moment");
// edge_indices.clear();
// }
// }
// self.query_graph.remove_nodes(nodes);
// }
// pub fn simplify(&mut self) {
// loop {
// let mut nodes_to_remove = vec![];
// for (node_idx, node) in self.query_graph.nodes.iter().enumerate() {
// if !matches!(node, QueryNode::End | QueryNode::Deleted)
// && self.node_edges[node_idx].is_empty()
// {
// nodes_to_remove.push(node_idx);
// }
// }
// if nodes_to_remove.is_empty() {
// break;
// } else {
// self.remove_nodes(&nodes_to_remove);
// }
// }
// }
// fn is_removed_edge(&self, edge: u32) -> bool {
// self.removed_edges.contains(&edge) || self.tmp_removed_edges.contains(&edge)
// }
pub fn graphviz(&self) -> String {
let mut desc = String::new();

188
milli/src/search/new/ranking_rule_graph/paths_map.rs
View File

@ -6,14 +6,13 @@ use std::hash::{Hash, Hasher};
use roaring::RoaringBitmap;
use super::cheapest_paths::Path;
use super::{EdgeDetails, RankingRuleGraph, RankingRuleGraphTrait, Edge};
use super::{Edge, EdgeDetails, RankingRuleGraph, RankingRuleGraphTrait};
use crate::new::QueryNode;
#[derive(Debug)]
pub struct PathsMap<V> {
nodes: Vec<(u32, PathsMap<V>)>,
value: Option<V>
value: Option<V>,
}
impl<V> Default for PathsMap<V> {
fn default() -> Self {
@ -73,11 +72,11 @@ impl<V> PathsMap<V> {
}
pub fn remove_first(&mut self) -> Option<(Vec<u32>, V)> {
if self.is_empty() {
return None
return None;
}
let mut result = vec![];
let (_, value) = self.remove_first_rec(&mut result);
let (_, value) = self.remove_first_rec(&mut result);
Some((result, value))
}
pub fn iterate_rec(&self, cur: &mut Vec<u32>, visit: &mut impl FnMut(&Vec<u32>, &V)) {
@ -85,7 +84,7 @@ impl<V> PathsMap<V> {
visit(cur, value);
}
for (first_edge, rest) in self.nodes.iter() {
cur.push(*first_edge);
cur.push(*first_edge);
rest.iterate_rec(cur, visit);
cur.pop();
}
@ -163,7 +162,7 @@ impl<V> PathsMap<V> {
let [first_edge, remaining_prefix @ ..] = prefix else {
return self.nodes.iter().map(|n| n.0).collect();
};
for (edge, rest) in self.nodes.iter(){
for (edge, rest) in self.nodes.iter() {
if edge == first_edge {
return rest.edge_indices_after_prefix(remaining_prefix);
}
@ -173,14 +172,12 @@ impl<V> PathsMap<V> {
pub fn contains_prefix_of_path(&self, path: &[u32]) -> bool {
if self.value.is_some() {
return true
return true;
}
match path {
[] => {
false
}
[] => false,
[first_edge, remaining_path @ ..] => {
for (edge, rest) in self.nodes.iter(){
for (edge, rest) in self.nodes.iter() {
if edge == first_edge {
return rest.contains_prefix_of_path(remaining_path);
}
@ -197,7 +194,12 @@ impl<V> PathsMap<V> {
desc.push_str("\n}\n");
desc
}
fn graphviz_rec<G: RankingRuleGraphTrait>(&self, desc: &mut String, path_from: Vec<u64>, graph: &RankingRuleGraph<G>) {
fn graphviz_rec<G: RankingRuleGraphTrait>(
&self,
desc: &mut String,
path_from: Vec<u64>,
graph: &RankingRuleGraph<G>,
) {
let id_from = {
let mut h = DefaultHasher::new();
path_from.hash(&mut h);
@ -227,7 +229,6 @@ impl<V> PathsMap<V> {
}
impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
pub fn graphviz_with_path(&self, path: &Path) -> String {
let mut desc = String::new();
desc.push_str("digraph G {\nrankdir = LR;\nnode [shape = \"record\"]\n");
@ -248,11 +249,7 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
for (edge_idx, edge) in self.all_edges.iter().enumerate() {
let Some(edge) = edge else { continue };
let Edge { from_node, to_node, cost, details } = edge;
let color = if path.edges.contains(&(edge_idx as u32)) {
"red"
} else {
"green"
};
let color = if path.edges.contains(&(edge_idx as u32)) { "red" } else { "green" };
match &edge.details {
EdgeDetails::Unconditional => {
desc.push_str(&format!(
@ -273,157 +270,4 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
desc.push('}');
desc
}
}
#[cfg(test)]
mod tests {
use super::PathsMap;
use crate::db_snap;
use crate::index::tests::TempIndex;
use crate::new::db_cache::DatabaseCache;
use crate::new::ranking_rule_graph::cheapest_paths::KCheapestPathsState;
use crate::new::ranking_rule_graph::empty_paths_cache::EmptyPathsCache;
use crate::new::ranking_rule_graph::proximity::ProximityGraph;
use crate::new::ranking_rule_graph::RankingRuleGraph;
use crate::search::new::query_term::{word_derivations, LocatedQueryTerm};
use crate::search::new::QueryGraph;
use charabia::Tokenize;
#[test]
fn paths_tree() {
let mut index = TempIndex::new();
index.index_documents_config.autogenerate_docids = true;
index
.update_settings(|s| {
s.set_searchable_fields(vec!["text".to_owned()]);
})
.unwrap();
index
.add_documents(documents!([
{
"text": "0 1 2 3 4 5"
},
{
"text": "0 a 1 b 2 3 4 5"
},
{
"text": "0 a 1 b 3 a 4 b 5"
},
{
"text": "0 a a 1 b 2 3 4 5"
},
{
"text": "0 a a a a 1 b 3 45"
},
]))
.unwrap();
db_snap!(index, word_pair_proximity_docids, @"679d1126b569b3e8b10dd937c3faedf9");
let txn = index.read_txn().unwrap();
let mut db_cache = DatabaseCache::default();
let fst = index.words_fst(&txn).unwrap();
let query =
LocatedQueryTerm::from_query("0 1 2 3 4 5".tokenize(), None, |word, is_prefix| {
word_derivations(&index, &txn, word, if word.len() < 3 {
0
} else if word.len() < 6 {
1
} else {
2
},is_prefix, &fst)
})
.unwrap();
let graph = QueryGraph::from_query(&index, &txn, &mut db_cache, query).unwrap();
let empty_paths_cache = EmptyPathsCache::default();
let mut db_cache = DatabaseCache::default();
let mut prox_graph =
RankingRuleGraph::<ProximityGraph>::build(&index, &txn, &mut db_cache, graph).unwrap();
println!("{}", prox_graph.graphviz());
let mut state = KCheapestPathsState::new(&prox_graph).unwrap();
let mut path_tree = PathsMap::default();
while state.next_cost() <= 6 {
let next_state = state.compute_paths_of_next_lowest_cost(&mut prox_graph, &empty_paths_cache, &mut path_tree);
if let Some(next_state) = next_state {
state = next_state;
} else {
break;
}
}
let desc = path_tree.graphviz(&prox_graph);
println!("{desc}");
// let path = vec![u32 { from: 0, to: 2, edge_idx: 0 }, u32 { from: 2, to: 3, edge_idx: 0 }, u32 { from: 3, to: 4, edge_idx: 0 }, u32 { from: 4, to: 5, edge_idx: 0 }, u32 { from: 5, to: 8, edge_idx: 0 }, u32 { from: 8, to: 1, edge_idx: 0 }, u32 { from: 1, to: 10, edge_idx: 0 }];
// println!("{}", psath_tree.contains_prefix_of_path(&path));
// let path = vec![u32 { from: 0, to: 2, edge_idx: 0 }, u32 { from: 2, to: 3, edge_idx: 0 }, u32 { from: 3, to: 4, edge_idx: 0 }, u32 { from: 4, to: 5, edge_idx: 0 }, u32 { from: 5, to: 6, edge_idx: 0 }, u32 { from: 6, to: 7, edge_idx: 0 }, u32 { from: 7, to: 1, edge_idx: 0 }];
// path_tree.iterate(|path, cost| {
// println!("cost {cost} for path: {path:?}");
// });
// path_tree.remove_forbidden_prefix(&[
// u32 { from: 0, to: 2, edge_idx: 0 },
// u32 { from: 2, to: 3, edge_idx: 2 },
// ]);
// let desc = path_tree.graphviz();
// println!("{desc}");
// path_tree.remove_forbidden_edge(&u32 { from: 5, to: 6, cost: 1 });
// let desc = path_tree.graphviz();
// println!("AFTER REMOVING 5-6 [1]:\n{desc}");
// path_tree.remove_forbidden_edge(&u32 { from: 3, to: 4, cost: 1 });
// let desc = path_tree.graphviz();
// println!("AFTER REMOVING 3-4 [1]:\n{desc}");
// let p = path_tree.remove_first();
// println!("PATH: {p:?}");
// let desc = path_tree.graphviz();
// println!("AFTER REMOVING: {desc}");
// let p = path_tree.remove_first();
// println!("PATH: {p:?}");
// let desc = path_tree.graphviz();
// println!("AFTER REMOVING: {desc}");
// path_tree.remove_all_containing_edge(&u32 { from: 5, to: 6, cost: 2 });
// let desc = path_tree.graphviz();
// println!("{desc}");
// let first_edges = path_tree.remove_first().unwrap();
// println!("{first_edges:?}");
// let desc = path_tree.graphviz();
// println!("{desc}");
// let first_edges = path_tree.remove_first().unwrap();
// println!("{first_edges:?}");
// let desc = path_tree.graphviz();
// println!("{desc}");
// let first_edges = path_tree.remove_first().unwrap();
// println!("{first_edges:?}");
// let desc = path_tree.graphviz();
// println!("{desc}");
// println!("{path_tree:?}");
}
#[test]
fn test_contains_prefix_of_path() {
}
}

5
milli/src/search/new/ranking_rule_graph/proximity/build.rs
View File

@ -1,5 +1,8 @@
use std::collections::BTreeMap;
use heed::RoTxn;
use itertools::Itertools;
use super::ProximityEdge;
use crate::new::db_cache::DatabaseCache;
use crate::new::query_term::{LocatedQueryTerm, QueryTerm, WordDerivations};
@ -7,8 +10,6 @@ use crate::new::ranking_rule_graph::proximity::WordPair;
use crate::new::ranking_rule_graph::{Edge, EdgeDetails};
use crate::new::QueryNode;
use crate::{Index, Result};
use heed::RoTxn;
use itertools::Itertools;
pub fn visit_from_node(from_node: &QueryNode) -> Result<Option<(WordDerivations, i8)>> {
Ok(Some(match from_node {

11
milli/src/search/new/ranking_rule_graph/proximity/compute_docids.rs
View File

@ -1,17 +1,17 @@
use roaring::MultiOps;
use heed::RoTxn;
use roaring::{MultiOps, RoaringBitmap};
use super::{ProximityEdge, WordPair};
use crate::new::db_cache::DatabaseCache;
use crate::CboRoaringBitmapCodec;
use crate::{CboRoaringBitmapCodec, Result};
pub fn compute_docids<'transaction>(
index: &crate::Index,
txn: &'transaction heed::RoTxn,
txn: &'transaction RoTxn,
db_cache: &mut DatabaseCache<'transaction>,
edge: &ProximityEdge,
) -> crate::Result<roaring::RoaringBitmap> {
) -> Result<RoaringBitmap> {
let ProximityEdge { pairs, proximity } = edge;
// TODO: we should know already which pair of words to look for
let mut pair_docids = vec![];
for pair in pairs.iter() {
let bytes = match pair {
@ -25,7 +25,6 @@ pub fn compute_docids<'transaction>(
bytes.map(CboRoaringBitmapCodec::deserialize_from).transpose()?.unwrap_or_default();
pair_docids.push(bitmap);
}
pair_docids.sort_by_key(|rb| rb.len());
let docids = MultiOps::union(pair_docids);
Ok(docids)
}

3
milli/src/search/new/ranking_rule_graph/proximity/mod.rs
View File

@ -1,12 +1,13 @@
pub mod build;
pub mod compute_docids;
use heed::RoTxn;
use super::{Edge, EdgeDetails, RankingRuleGraphTrait};
use crate::new::db_cache::DatabaseCache;
use crate::new::query_term::WordDerivations;
use crate::new::QueryNode;
use crate::{Index, Result};
use heed::RoTxn;
#[derive(Debug, Clone)]
pub enum WordPair {

10
milli/src/search/new/ranking_rule_graph/resolve_paths.rs
View File

@ -68,14 +68,6 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
}
path_bitmaps.push(path_bitmap);
}
let docids = MultiOps::union(path_bitmaps);
Ok(docids)
// for each path, translate it to an intersection of cached roaring bitmaps
// then do a union for all paths
// get the docids of the given paths in the proximity graph
// in the fastest possible way
// 1. roaring MultiOps (before we can do the Frozen+AST thing)
// 2. minimize number of operations
Ok(MultiOps::union(path_bitmaps))
}
}

101
milli/src/search/new/ranking_rules.rs
View File

@ -97,49 +97,10 @@ pub fn get_start_universe<'transaction>(
query_graph: &QueryGraph,
term_matching_strategy: TermsMatchingStrategy,
// filters: Filters,
// mut distinct: Option<D>,
) -> Result<RoaringBitmap> {
// NOTE:
//
// There is a performance problem when using `distinct` + exhaustive number of hits,
// especially for search that yield many results (many ~= almost all of the
// dataset).
//
// We'll solve it later. Maybe there are smart ways to go about it.
//
// For example, if there are millions of possible values for the distinct attribute,
// then we could just look at the documents which share any distinct attribute with
// another one, and remove the later docids them from the universe.
// => NO! because we don't know which one to remove, only after the sorting is done can we know it
// => this kind of computation can be done, but only in the evaluation of the number
// of hits for the documents that aren't returned by the search.
//
// `Distinct` otherwise should always be computed during
// TODO: actually compute the universe from the query graph
let universe = index.documents_ids(txn).unwrap();
// resolve the whole query tree to retrieve an exhaustive list of documents matching the query.
// NOTE: this is wrong
// Instead, we should only compute the documents corresponding to the last remaining
// word, 2-gram, and 3-gran.
// let candidates = resolve_query_graph(index, txn, db_cache, query_graph, &universe)?;
// Distinct should be lazy if placeholder?
//
// // because the initial_candidates should be an exhaustive count of the matching documents,
// // we precompute the distinct attributes.
// let initial_candidates = match &mut distinct {
// Some(distinct) => {
// let mut initial_candidates = RoaringBitmap::new();
// for c in distinct.distinct(candidates.clone(), RoaringBitmap::new()) {
// initial_candidates.insert(c?);
// }
// initial_candidates
// }
// None => candidates.clone(),
// };
Ok(/*candidates*/ universe)
Ok(universe)
}
pub fn execute_search<'transaction>(
@ -306,43 +267,6 @@ mod tests {
let primary_key = index.primary_key(&txn).unwrap().unwrap();
let primary_key = index.fields_ids_map(&txn).unwrap().id(primary_key).unwrap();
loop {
let start = Instant::now();
let mut db_cache = DatabaseCache::default();
let query_graph = make_query_graph(
&index,
&txn,
&mut db_cache,
"released from prison by the government",
)
.unwrap();
// println!("{}", query_graph.graphviz());
// TODO: filters + maybe distinct attributes?
let universe = get_start_universe(
&index,
&txn,
&mut db_cache,
&query_graph,
TermsMatchingStrategy::Last,
)
.unwrap();
// println!("universe: {universe:?}");
let results = execute_search(
&index,
&txn,
&mut db_cache,
&universe,
&query_graph, /* 0, 20 */
)
.unwrap();
let elapsed = start.elapsed();
println!("{}us: {results:?}", elapsed.as_micros());
}
let start = Instant::now();
let mut db_cache = DatabaseCache::default();
@ -350,7 +274,6 @@ mod tests {
let query_graph =
make_query_graph(&index, &txn, &mut db_cache, "released from prison by the government")
.unwrap();
// println!("{}", query_graph.graphviz());
// TODO: filters + maybe distinct attributes?
let universe = get_start_universe(
@ -361,7 +284,6 @@ mod tests {
TermsMatchingStrategy::Last,
)
.unwrap();
// println!("universe: {universe:?}");
let results =
execute_search(&index, &txn, &mut db_cache, &universe, &query_graph /* 0, 20 */)
@ -396,7 +318,7 @@ mod tests {
let start = Instant::now();
let mut s = Search::new(&txn, &index);
s.query("released from prison by the government");
s.query("b b b b b b b b b b");
s.terms_matching_strategy(TermsMatchingStrategy::Last);
s.criterion_implementation_strategy(crate::CriterionImplementationStrategy::OnlySetBased);
let docs = s.execute().unwrap();
@ -414,30 +336,14 @@ mod tests {
let index = Index::new(options, "data_movies").unwrap();
let mut wtxn = index.write_txn().unwrap();
// let primary_key = "id";
// let searchable_fields = vec!["title", "overview"];
// let filterable_fields = vec!["release_date", "genres"];
// let sortable_fields = vec[];
let config = IndexerConfig::default();
let mut builder = Settings::new(&mut wtxn, &index, &config);
builder.set_min_word_len_one_typo(5);
builder.set_min_word_len_two_typos(100);
// builder.set_primary_key(primary_key.to_owned());
// let searchable_fields = searchable_fields.iter().map(|s| s.to_string()).collect();
// builder.set_searchable_fields(searchable_fields);
// let filterable_fields = filterable_fields.iter().map(|s| s.to_string()).collect();
// builder.set_filterable_fields(filterable_fields);
builder.set_criteria(vec![Criterion::Words, Criterion::Proximity]);
// let sortable_fields = sortable_fields.iter().map(|s| s.to_string()).collect();
// builder.set_sortable_fields(sortable_fields);
builder.execute(|_| (), || false).unwrap();
}
@ -452,7 +358,6 @@ mod tests {
let primary_key = "id";
let searchable_fields = vec!["title", "overview"];
let filterable_fields = vec!["release_date", "genres"];
// let sortable_fields = vec[];
let config = IndexerConfig::default();
let mut builder = Settings::new(&mut wtxn, &index, &config);

101
milli/src/search/new/resolve_query_graph.rs
View File

@ -1,7 +1,8 @@
use std::collections::{HashMap, HashSet, VecDeque};
use fxhash::FxHashMap;
use heed::{BytesDecode, RoTxn};
use roaring::{MultiOps, RoaringBitmap};
use std::collections::{HashMap, HashSet, VecDeque};
use super::db_cache::DatabaseCache;
use super::query_term::{LocatedQueryTerm, QueryTerm, WordDerivations};
@ -9,8 +10,6 @@ use super::QueryGraph;
use crate::{Index, Result, RoaringBitmapCodec};
// TODO: manual performance metrics: access to DB, bitmap deserializations/operations, etc.
// TODO: reuse NodeDocidsCache in between calls to resolve_query_graph
#[derive(Default)]
pub struct NodeDocIdsCache {
pub cache: FxHashMap<u32, RoaringBitmap>,
@ -55,11 +54,6 @@ impl NodeDocIdsCache {
.into_iter()
.map(|slice| RoaringBitmapCodec::bytes_decode(slice).unwrap());
MultiOps::union(derivations_iter)
// TODO: if `or` is empty, register that somewhere, and immediately return an empty bitmap
// On the other hand, `or` *cannot* be empty, only its intersection with the universe can
//
// TODO: Or we don't do anything and accumulate all these operations in a tree of operations
// between frozen roaring bitmap that is resolved only at the very end
}
};
let _ = self.cache.insert(node_idx, docids);
@ -79,10 +73,7 @@ pub fn resolve_query_graph<'transaction>(
// TODO: there is definitely a faster way to compute this big
// roaring bitmap expression
// resolve_query_graph_rec(index, txn, q, q.root_node, &mut docids, &mut cache)?;
let mut nodes_resolved = RoaringBitmap::new();
// TODO: should be given as an argument and kept between invocations of resolve query graph
let mut path_nodes_docids = vec![RoaringBitmap::new(); q.nodes.len()];
let mut next_nodes_to_visit = VecDeque::new();
@ -123,100 +114,14 @@ pub fn resolve_query_graph<'transaction>(
next_nodes_to_visit.push_back(succ);
}
}
// This is currently slow but could easily be implemented very efficiently
for prec in q.edges[node as usize].predecessors.iter() {
if q.edges[prec as usize].successors.is_subset(&nodes_resolved) {
path_nodes_docids[prec as usize].clear();
}
}
// println!("cached docids: {nodes_docids:?}");
}
panic!()
}
#[cfg(test)]
mod tests {
use charabia::Tokenize;
use super::resolve_query_graph;
use crate::db_snap;
use crate::index::tests::TempIndex;
use crate::new::db_cache::DatabaseCache;
use crate::new::resolve_query_graph::NodeDocIdsCache;
use crate::search::new::query_term::{word_derivations, LocatedQueryTerm};
use crate::search::new::QueryGraph;
#[test]
fn test_resolve_query_graph() {
let index = TempIndex::new();
index
.update_settings(|s| {
s.set_searchable_fields(vec!["text".to_owned()]);
})
.unwrap();
index
.add_documents(documents!([
{"id": 0, "text": "0"},
{"id": 1, "text": "1"},
{"id": 2, "text": "2"},
{"id": 3, "text": "3"},
{"id": 4, "text": "4"},
{"id": 5, "text": "5"},
{"id": 6, "text": "6"},
{"id": 7, "text": "7"},
{"id": 8, "text": "0 1 2 3 4 5 6 7"},
{"id": 9, "text": "7 6 5 4 3 2 1 0"},
{"id": 10, "text": "01 234 56 7"},
{"id": 11, "text": "7 56 0 1 23 5 4"},
{"id": 12, "text": "0 1 2 3 4 5 6"},
{"id": 13, "text": "01 23 4 5 7"},
]))
.unwrap();
db_snap!(index, word_docids, @"7512d0b80659f6bf37d98b374ada8098");
let txn = index.read_txn().unwrap();
let mut db_cache = DatabaseCache::default();
let fst = index.words_fst(&txn).unwrap();
let query = LocatedQueryTerm::from_query(
"no 0 1 2 3 no 4 5 6 7".tokenize(),
None,
|word, is_prefix| {
word_derivations(
&index,
&txn,
word,
if word.len() < 3 {
0
} else if word.len() < 6 {
1
} else {
2
},
is_prefix,
&fst,
)
},
)
.unwrap();
let graph = QueryGraph::from_query(&index, &txn, &mut db_cache, query).unwrap();
println!("{}", graph.graphviz());
let mut node_docids_cache = NodeDocIdsCache::default();
let universe = index.documents_ids(&txn).unwrap();
insta::assert_debug_snapshot!(universe, @"RoaringBitmap<[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]>");
let docids = resolve_query_graph(
&index,
&txn,
&mut db_cache,
&mut node_docids_cache,
&graph,
&universe,
)
.unwrap();
insta::assert_debug_snapshot!(docids, @"RoaringBitmap<[8, 9, 11]>");
// TODO: test with a reduced universe
}
}

17
milli/src/search/new/sort.rs
View File

@ -1,9 +1,10 @@
use heed::RoTxn;
use roaring::RoaringBitmap;
use super::db_cache::DatabaseCache;
use super::{
db_cache::DatabaseCache, RankingRule, RankingRuleOutput, RankingRuleOutputIter,
RankingRuleOutputIterWrapper, RankingRuleQueryTrait,
RankingRule, RankingRuleOutput, RankingRuleOutputIter, RankingRuleOutputIterWrapper,
RankingRuleQueryTrait,
};
use crate::{
// facet::FacetType,
@ -33,18 +34,6 @@ impl<'transaction, Query> Sort<'transaction, Query> {
let fields_ids_map = index.fields_ids_map(rtxn)?;
let field_id = fields_ids_map.id(&field_name);
// TODO: What is this, why?
// let faceted_candidates = match field_id {
// Some(field_id) => {
// let number_faceted =
// index.faceted_documents_ids(rtxn, field_id, FacetType::Number)?;
// let string_faceted =
// index.faceted_documents_ids(rtxn, field_id, FacetType::String)?;
// number_faceted | string_faceted
// }
// None => RoaringBitmap::default(),
// };
Ok(Self { field_id, is_ascending, iter: None })
}
}

45
milli/src/search/new/words.rs
View File

@ -79,8 +79,7 @@ impl<'transaction> RankingRule<'transaction, QueryGraph> for Words {
return Ok(None);
}
let Some(query_graph) = &mut self.query_graph else { panic!() };
// let graphviz = query_graph.graphviz();
// println!("\n===={graphviz}\n====");
let this_bucket = resolve_query_graph(
index,
txn,
@ -89,10 +88,8 @@ impl<'transaction> RankingRule<'transaction, QueryGraph> for Words {
query_graph,
universe,
)?;
// println!("WORDS: this bucket: {this_bucket:?}");
let child_query_graph = query_graph.clone();
// this_bucket is the one that must be returned now
// self.cur_bucket is set to the next bucket
// TODO: Check whether a position exists in the graph before removing it and
// returning the next bucket.
// while graph.does_not_contain(positions_to_remove.last()) { positions_to_remove.pop() }
@ -118,41 +115,3 @@ impl<'transaction> RankingRule<'transaction, QueryGraph> for Words {
self.positions_to_remove = vec![];
}
}
#[cfg(test)]
mod tests {
// use charabia::Tokenize;
// use roaring::RoaringBitmap;
// use crate::{
// index::tests::TempIndex,
// search::{criteria::CriteriaBuilder, new::QueryGraphOrPlaceholder},
// };
// use super::Words;
// fn placeholder() {
// let qt = QueryGraphOrPlaceholder::Placeholder;
// let index = TempIndex::new();
// let rtxn = index.read_txn().unwrap();
// let query = "a beautiful summer house by the beach overlooking what seems";
// // let mut builder = QueryTreeBuilder::new(&rtxn, &index).unwrap();
// // let (qt, parts, matching_words) = builder.build(query.tokenize()).unwrap().unwrap();
// // let cb = CriteriaBuilder::new(&rtxn, &index).unwrap();
// // let x = cb
// // .build(
// // Some(qt),
// // Some(parts),
// // None,
// // None,
// // false,
// // None,
// // crate::CriterionImplementationStrategy::OnlySetBased,
// // )
// // .unwrap();
// // let rr = Words::new(&index, &RoaringBitmap::from_sorted_iter(0..1000)).unwrap();
// }
}