finish the arroywrapper

milli/src/index.rs

@@ -1610,24 +1610,6 @@ impl Index {
             .unwrap_or_default())
     }
 
-    pub fn arroy_readers<'a>(
-        &'a self,
-        rtxn: &'a RoTxn<'a>,
-        embedder_id: u8,
-        quantized: bool,
-    ) -> impl Iterator<Item = Result<ArroyWrapper>> + 'a {
-        crate::vector::arroy_db_range_for_embedder(embedder_id).map_while(move |k| {
-            let reader = ArroyWrapper::new(self.vector_arroy, k, quantized);
-            // Here we don't care about the dimensions, but we want to know if we can read
-            // in the database or if its metadata are missing because there is no document with that many vectors.
-            match reader.dimensions(rtxn) {
-                Ok(_) => Some(Ok(reader)),
-                Err(arroy::Error::MissingMetadata(_)) => None,
-                Err(e) => Some(Err(e.into())),
-            }
-        })
-    }
-
     pub(crate) fn put_search_cutoff(&self, wtxn: &mut RwTxn<'_>, cutoff: u64) -> heed::Result<()> {
         self.main.remap_types::<Str, BEU64>().put(wtxn, main_key::SEARCH_CUTOFF, &cutoff)
     }
@@ -1649,14 +1631,9 @@ impl Index {
         let embedding_configs = self.embedding_configs(rtxn)?;
         for config in embedding_configs {
             let embedder_id = self.embedder_category_id.get(rtxn, &config.name)?.unwrap();
-            let embeddings = self
+            let reader =
-                .arroy_readers(rtxn, embedder_id, config.config.quantized())
+                ArroyWrapper::new(self.vector_arroy, embedder_id, config.config.quantized());
-                .map_while(|reader| {
+            let embeddings = reader.item_vectors(rtxn, docid)?;
-                    reader
-                        .and_then(|r| r.item_vector(rtxn, docid).map_err(|e| e.into()))
-                        .transpose()
-                })
-                .collect::<Result<Vec<_>>>()?;
             res.insert(config.name.to_owned(), embeddings);
         }
         Ok(res)

milli/src/search/new/vector_sort.rs

@@ -1,11 +1,10 @@
 use std::iter::FromIterator;
 
-use ordered_float::OrderedFloat;
 use roaring::RoaringBitmap;
 
 use super::ranking_rules::{RankingRule, RankingRuleOutput, RankingRuleQueryTrait};
 use crate::score_details::{self, ScoreDetails};
-use crate::vector::{DistributionShift, Embedder};
+use crate::vector::{ArroyWrapper, DistributionShift, Embedder};
 use crate::{DocumentId, Result, SearchContext, SearchLogger};
 
 pub struct VectorSort<Q: RankingRuleQueryTrait> {
@@ -53,14 +52,9 @@ impl<Q: RankingRuleQueryTrait> VectorSort<Q> {
         vector_candidates: &RoaringBitmap,
     ) -> Result<()> {
         let target = &self.target;
-        let mut results = Vec::new();
 
-        for reader in ctx.index.arroy_readers(ctx.txn, self.embedder_index, self.quantized) {
+        let reader = ArroyWrapper::new(ctx.index.vector_arroy, self.embedder_index, self.quantized);
-            let nns_by_vector =
+        let results = reader.nns_by_vector(ctx.txn, target, self.limit, Some(vector_candidates))?;
-                reader?.nns_by_vector(ctx.txn, target, self.limit, Some(vector_candidates))?;
-            results.extend(nns_by_vector.into_iter());
-        }
-        results.sort_unstable_by_key(|(_, distance)| OrderedFloat(*distance));
         self.cached_sorted_docids = results.into_iter();
 
         Ok(())

milli/src/search/similar.rs

@@ -1,6 +1,5 @@
 use std::sync::Arc;
 
-use ordered_float::OrderedFloat;
 use roaring::RoaringBitmap;
 
 use crate::score_details::{self, ScoreDetails};

milli/src/update/index_documents/transform.rs

@@ -990,27 +990,24 @@ impl<'a, 'i> Transform<'a, 'i> {
             None
         };
 
-        let readers: Result<BTreeMap<&str, (Vec<ArroyWrapper>, &RoaringBitmap)>> = settings_diff
+        let readers: BTreeMap<&str, (ArroyWrapper, &RoaringBitmap)> = settings_diff
             .embedding_config_updates
             .iter()
             .filter_map(|(name, action)| {
                 if let Some(WriteBackToDocuments { embedder_id, user_provided }) =
                     action.write_back()
                 {
-                    let readers: Result<Vec<_>> = self
+                    let reader = ArroyWrapper::new(
-                        .index
+                        self.index.vector_arroy,
-                        .arroy_readers(wtxn, *embedder_id, action.was_quantized)
+                        *embedder_id,
-                        .collect();
+                        action.was_quantized,
-                    match readers {
+                    );
-                        Ok(readers) => Some(Ok((name.as_str(), (readers, user_provided)))),
+                    Some((name.as_str(), (reader, user_provided)))
-                        Err(error) => Some(Err(error)),
-                    }
                 } else {
                     None
                 }
             })
             .collect();
-        let readers = readers?;
 
         let old_vectors_fid = settings_diff
             .old
@@ -1048,34 +1045,24 @@ impl<'a, 'i> Transform<'a, 'i> {
                     arroy::Error,
                 > = readers
                     .iter()
-                    .filter_map(|(name, (readers, user_provided))| {
+                    .filter_map(|(name, (reader, user_provided))| {
                         if !user_provided.contains(docid) {
                             return None;
                         }
-                        let mut vectors = Vec::new();
+                        match reader.item_vectors(wtxn, docid) {
-                        for reader in readers {
+                            Ok(vectors) if vectors.is_empty() => None,
-                            let Some(vector) = reader.item_vector(wtxn, docid).transpose() else {
+                            Ok(vectors) => Some(Ok((
-                                break;
+                                name.to_string(),
-                            };
+                                serde_json::to_value(ExplicitVectors {
-
+                                    embeddings: Some(
-                            match vector {
+                                        VectorOrArrayOfVectors::from_array_of_vectors(vectors),
-                                Ok(vector) => vectors.push(vector),
+                                    ),
-                                Err(error) => return Some(Err(error)),
+                                    regenerate: false,
-                            }
+                                })
+                                .unwrap(),
+                            ))),
+                            Err(e) => Some(Err(e)),
                         }
-                        if vectors.is_empty() {
-                            return None;
-                        }
-                        Some(Ok((
-                            name.to_string(),
-                            serde_json::to_value(ExplicitVectors {
-                                embeddings: Some(VectorOrArrayOfVectors::from_array_of_vectors(
-                                    vectors,
-                                )),
-                                regenerate: false,
-                            })
-                            .unwrap(),
-                        )))
                     })
                     .collect();
 
@@ -1104,11 +1091,9 @@ impl<'a, 'i> Transform<'a, 'i> {
         }
 
         // delete all vectors from the embedders that need removal
-        for (_, (readers, _)) in readers {
+        for (_, (reader, _)) in readers {
-            for reader in readers {
+            let dimensions = reader.dimensions(wtxn)?;
-                let dimensions = reader.dimensions(wtxn)?;
+            reader.clear(wtxn, dimensions)?;
-                reader.clear(wtxn, dimensions)?;
-            }
         }
 
         let grenad_params = GrenadParameters {

milli/src/vector/mod.rs

@@ -45,6 +45,20 @@ impl ArroyWrapper {
         self.index
     }
 
+    fn readers<'a, D: arroy::Distance>(
+        &'a self,
+        rtxn: &'a RoTxn<'a>,
+        db: arroy::Database<D>,
+    ) -> impl Iterator<Item = Result<arroy::Reader<D>, arroy::Error>> + 'a {
+        arroy_db_range_for_embedder(self.index).map_while(move |index| {
+            match arroy::Reader::open(rtxn, index, db) {
+                Ok(reader) => Some(Ok(reader)),
+                Err(arroy::Error::MissingMetadata(_)) => None,
+                Err(e) => Some(Err(e)),
+            }
+        })
+    }
+
     pub fn dimensions(&self, rtxn: &RoTxn) -> Result<usize, arroy::Error> {
         let first_id = arroy_db_range_for_embedder(self.index).next().unwrap();
         if self.quantized {
@@ -97,6 +111,7 @@ impl ArroyWrapper {
         Ok(())
     }
 
+    /// Overwrite all the embeddings associated to the index and item id.
     pub fn add_items(
         &self,
         wtxn: &mut RwTxn,
@@ -116,30 +131,41 @@ impl ArroyWrapper {
         Ok(())
     }
 
+    /// Add one document int for this index where we can find an empty spot.
     pub fn add_item(
         &self,
         wtxn: &mut RwTxn,
         item_id: arroy::ItemId,
         vector: &[f32],
+    ) -> Result<(), arroy::Error> {
+        if self.quantized {
+            self._add_item(wtxn, self.quantized_db(), item_id, vector)
+        } else {
+            self._add_item(wtxn, self.angular_db(), item_id, vector)
+        }
+    }
+
+    fn _add_item<D: arroy::Distance>(
+        &self,
+        wtxn: &mut RwTxn,
+        db: arroy::Database<D>,
+        item_id: arroy::ItemId,
+        vector: &[f32],
     ) -> Result<(), arroy::Error> {
         let dimension = vector.len();
 
         for index in arroy_db_range_for_embedder(self.index) {
-            if self.quantized {
+            let writer = arroy::Writer::new(db, index, dimension);
-                let writer = arroy::Writer::new(self.quantized_db(), index, dimension);
+            if !writer.contains_item(wtxn, item_id)? {
-                if !writer.contains_item(wtxn, item_id)? {
+                writer.add_item(wtxn, item_id, vector)?;
-                    writer.add_item(wtxn, item_id, &vector)?;
+                break;
-                    break;
-                }
-            } else {
-                arroy::Writer::new(self.angular_db(), index, dimension)
-                    .add_item(wtxn, item_id, vector)?
             }
         }
-
         Ok(())
     }
 
+    /// Delete an item from the index. It **does not** take care of fixing the hole
+    /// made after deleting the item.
     pub fn del_item_raw(
         &self,
         wtxn: &mut RwTxn,
@@ -163,36 +189,39 @@ impl ArroyWrapper {
         Ok(false)
     }
 
+    /// Delete one item.
     pub fn del_item(
         &self,
         wtxn: &mut RwTxn,
-        itemid: arroy::ItemId,
+        item_id: arroy::ItemId,
+        vector: &[f32],
+    ) -> Result<bool, arroy::Error> {
+        if self.quantized {
+            self._del_item(wtxn, self.quantized_db(), item_id, vector)
+        } else {
+            self._del_item(wtxn, self.angular_db(), item_id, vector)
+        }
+    }
+
+    fn _del_item<D: arroy::Distance>(
+        &self,
+        wtxn: &mut RwTxn,
+        db: arroy::Database<D>,
+        item_id: arroy::ItemId,
         vector: &[f32],
     ) -> Result<bool, arroy::Error> {
         let dimension = vector.len();
         let mut deleted_index = None;
 
         for index in arroy_db_range_for_embedder(self.index) {
-            if self.quantized {
+            let writer = arroy::Writer::new(db, index, dimension);
-                let writer = arroy::Writer::new(self.quantized_db(), index, dimension);
+            let Some(candidate) = writer.item_vector(wtxn, item_id)? else {
-                let Some(candidate) = writer.item_vector(wtxn, itemid)? else {
+                // uses invariant: vectors are packed in the first writers.
-                    // uses invariant: vectors are packed in the first writers.
+                break;
-                    break;
+            };
-                };
+            if candidate == vector {
-                if candidate == vector {
+                writer.del_item(wtxn, item_id)?;
-                    writer.del_item(wtxn, itemid)?;
+                deleted_index = Some(index);
-                    deleted_index = Some(index);
-                }
-            } else {
-                let writer = arroy::Writer::new(self.angular_db(), index, dimension);
-                let Some(candidate) = writer.item_vector(wtxn, itemid)? else {
-                    // uses invariant: vectors are packed in the first writers.
-                    break;
-                };
-                if candidate == vector {
-                    writer.del_item(wtxn, itemid)?;
-                    deleted_index = Some(index);
-                }
             }
         }
 
@@ -200,34 +229,18 @@ impl ArroyWrapper {
         if let Some(deleted_index) = deleted_index {
             let mut last_index_with_a_vector = None;
             for index in arroy_db_range_for_embedder(self.index).skip(deleted_index as usize) {
-                if self.quantized {
+                let writer = arroy::Writer::new(db, index, dimension);
-                    let writer = arroy::Writer::new(self.quantized_db(), index, dimension);
+                let Some(candidate) = writer.item_vector(wtxn, item_id)? else {
-                    let Some(candidate) = writer.item_vector(wtxn, itemid)? else {
+                    break;
-                        break;
+                };
-                    };
+                last_index_with_a_vector = Some((index, candidate));
-                    last_index_with_a_vector = Some((index, candidate));
-                } else {
-                    let writer = arroy::Writer::new(self.angular_db(), index, dimension);
-                    let Some(candidate) = writer.item_vector(wtxn, itemid)? else {
-                        break;
-                    };
-                    last_index_with_a_vector = Some((index, candidate));
-                }
             }
             if let Some((last_index, vector)) = last_index_with_a_vector {
-                if self.quantized {
+                // unwrap: computed the index from the list of writers
-                    // unwrap: computed the index from the list of writers
+                let writer = arroy::Writer::new(db, last_index, dimension);
-                    let writer = arroy::Writer::new(self.quantized_db(), last_index, dimension);
+                writer.del_item(wtxn, item_id)?;
-                    writer.del_item(wtxn, itemid)?;
+                let writer = arroy::Writer::new(db, deleted_index, dimension);
-                    let writer = arroy::Writer::new(self.quantized_db(), deleted_index, dimension);
+                writer.add_item(wtxn, item_id, &vector)?;
-                    writer.add_item(wtxn, itemid, &vector)?;
-                } else {
-                    // unwrap: computed the index from the list of writers
-                    let writer = arroy::Writer::new(self.angular_db(), last_index, dimension);
-                    writer.del_item(wtxn, itemid)?;
-                    let writer = arroy::Writer::new(self.angular_db(), deleted_index, dimension);
-                    writer.add_item(wtxn, itemid, &vector)?;
-                }
             }
         }
         Ok(deleted_index.is_some())
@@ -284,17 +297,26 @@ impl ArroyWrapper {
         item: ItemId,
         limit: usize,
         filter: Option<&RoaringBitmap>,
+    ) -> Result<Vec<(ItemId, f32)>, arroy::Error> {
+        if self.quantized {
+            self._nns_by_item(rtxn, self.quantized_db(), item, limit, filter)
+        } else {
+            self._nns_by_item(rtxn, self.angular_db(), item, limit, filter)
+        }
+    }
+
+    fn _nns_by_item<D: arroy::Distance>(
+        &self,
+        rtxn: &RoTxn,
+        db: arroy::Database<D>,
+        item: ItemId,
+        limit: usize,
+        filter: Option<&RoaringBitmap>,
     ) -> Result<Vec<(ItemId, f32)>, arroy::Error> {
         let mut results = Vec::new();
 
-        for index in arroy_db_range_for_embedder(self.index) {
+        for reader in self.readers(rtxn, db) {
-            let ret = if self.quantized {
+            let ret = reader?.nns_by_item(rtxn, item, limit, None, None, filter)?;
-                arroy::Reader::open(rtxn, index, self.quantized_db())?
-                    .nns_by_item(rtxn, item, limit, None, None, filter)?
-            } else {
-                arroy::Reader::open(rtxn, index, self.angular_db())?
-                    .nns_by_item(rtxn, item, limit, None, None, filter)?
-            };
             if let Some(mut ret) = ret {
                 results.append(&mut ret);
             } else {
@@ -302,27 +324,35 @@ impl ArroyWrapper {
             }
         }
         results.sort_unstable_by_key(|(_, distance)| OrderedFloat(*distance));
-
         Ok(results)
     }
 
     pub fn nns_by_vector(
         &self,
-        txn: &RoTxn,
+        rtxn: &RoTxn,
-        item: &[f32],
+        vector: &[f32],
+        limit: usize,
+        filter: Option<&RoaringBitmap>,
+    ) -> Result<Vec<(ItemId, f32)>, arroy::Error> {
+        if self.quantized {
+            self._nns_by_vector(rtxn, self.quantized_db(), vector, limit, filter)
+        } else {
+            self._nns_by_vector(rtxn, self.angular_db(), vector, limit, filter)
+        }
+    }
+
+    fn _nns_by_vector<D: arroy::Distance>(
+        &self,
+        rtxn: &RoTxn,
+        db: arroy::Database<D>,
+        vector: &[f32],
         limit: usize,
         filter: Option<&RoaringBitmap>,
     ) -> Result<Vec<(ItemId, f32)>, arroy::Error> {
         let mut results = Vec::new();
 
-        for index in arroy_db_range_for_embedder(self.index) {
+        for reader in self.readers(rtxn, db) {
-            let mut ret = if self.quantized {
+            let mut ret = reader?.nns_by_vector(rtxn, vector, limit, None, None, filter)?;
-                arroy::Reader::open(txn, index, self.quantized_db())?
-                    .nns_by_vector(txn, item, limit, None, None, filter)?
-            } else {
-                arroy::Reader::open(txn, index, self.angular_db())?
-                    .nns_by_vector(txn, item, limit, None, None, filter)?
-            };
             results.append(&mut ret);
         }
 
@@ -331,18 +361,27 @@ impl ArroyWrapper {
         Ok(results)
     }
 
-    pub fn item_vector(&self, rtxn: &RoTxn, docid: u32) -> Result<Option<Vec<f32>>, arroy::Error> {
+    pub fn item_vectors(&self, rtxn: &RoTxn, item_id: u32) -> Result<Vec<Vec<f32>>, arroy::Error> {
-        for index in arroy_db_range_for_embedder(self.index) {
+        let mut vectors = Vec::new();
-            let ret = if self.quantized {
+
-                arroy::Reader::open(rtxn, index, self.quantized_db())?.item_vector(rtxn, docid)?
+        if self.quantized {
-            } else {
+            for reader in self.readers(rtxn, self.quantized_db()) {
-                arroy::Reader::open(rtxn, index, self.angular_db())?.item_vector(rtxn, docid)?
+                if let Some(vec) = reader?.item_vector(rtxn, item_id)? {
-            };
+                    vectors.push(vec);
-            if ret.is_some() {
+                } else {
-                return Ok(ret);
+                    break;
+                }
+            }
+        } else {
+            for reader in self.readers(rtxn, self.angular_db()) {
+                if let Some(vec) = reader?.item_vector(rtxn, item_id)? {
+                    vectors.push(vec);
+                } else {
+                    break;
+                }
             }
         }
-        Ok(None)
+        Ok(vectors)
     }
 
     fn angular_db(&self) -> arroy::Database<Angular> {