Feat/performance dev

benchmarks/runner.py

@@ -29,50 +29,51 @@ def run_benchmark_suite(
         )
         client = SQLiteVecClient(table="benchmark", db_path=db_path)
 
-        # Create table
-        dim = config["dimension"]
-        distance = config["distance"]
-        client.create_table(dim=dim, distance=distance)
-
-        # Generate data
-        texts = generate_texts(dataset_size)
-        embeddings = generate_embeddings(dataset_size, dim)
-        metadata = generate_metadata(dataset_size)
-
-        # Benchmark: Add
-        print(f"  Benchmarking add ({dataset_size} records)...")
-        results.append(benchmark_add(client, texts, embeddings, metadata))
-
-        # Get rowids for subsequent operations
-        rowids = list(range(1, dataset_size + 1))
-
-        # Benchmark: Get Many
-        print(f"  Benchmarking get_many ({dataset_size} records)...")
-        results.append(benchmark_get_many(client, rowids))
-
-        # Benchmark: Similarity Search
-        print("  Benchmarking similarity_search...")
-        query_emb = [0.5] * dim
-        iterations = config["similarity_search"]["iterations"]
-        for top_k in config["similarity_search"]["top_k_values"]:
-            results.append(
-                benchmark_similarity_search(client, query_emb, top_k, iterations)
-            )
-
-        # Benchmark: Update Many
-        print(f"  Benchmarking update_many ({dataset_size} records)...")
-        new_texts = [f"updated_{i}" for i in range(dataset_size)]
-        results.append(benchmark_update_many(client, rowids, new_texts))
-
-        # Benchmark: Get All
-        print(f"  Benchmarking get_all ({dataset_size} records)...")
-        batch_size = config["batch_size"]
-        results.append(benchmark_get_all(client, dataset_size, batch_size))
-
-        # Benchmark: Delete Many
-        print(f"  Benchmarking delete_many ({dataset_size} records)...")
-        results.append(benchmark_delete_many(client, rowids))
-
-        client.close()
+        try:
+            # Create table
+            dim = config["dimension"]
+            distance = config["distance"]
+            client.create_table(dim=dim, distance=distance)
+
+            # Generate data
+            texts = generate_texts(dataset_size)
+            embeddings = generate_embeddings(dataset_size, dim)
+            metadata = generate_metadata(dataset_size)
+
+            # Benchmark: Add
+            print(f"  Benchmarking add ({dataset_size} records)...")
+            results.append(benchmark_add(client, texts, embeddings, metadata))
+
+            # Get rowids for subsequent operations
+            rowids = list(range(1, dataset_size + 1))
+
+            # Benchmark: Get Many
+            print(f"  Benchmarking get_many ({dataset_size} records)...")
+            results.append(benchmark_get_many(client, rowids))
+
+            # Benchmark: Similarity Search
+            print("  Benchmarking similarity_search...")
+            query_emb = [0.5] * dim
+            iterations = config["similarity_search"]["iterations"]
+            for top_k in config["similarity_search"]["top_k_values"]:
+                results.append(
+                    benchmark_similarity_search(client, query_emb, top_k, iterations)
+                )
+
+            # Benchmark: Update Many
+            print(f"  Benchmarking update_many ({dataset_size} records)...")
+            new_texts = [f"updated_{i}" for i in range(dataset_size)]
+            results.append(benchmark_update_many(client, rowids, new_texts))
+
+            # Benchmark: Get All
+            print(f"  Benchmarking get_all ({dataset_size} records)...")
+            batch_size = config["batch_size"]
+            results.append(benchmark_get_all(client, dataset_size, batch_size))
+
+            # Benchmark: Delete Many
+            print(f"  Benchmarking delete_many ({dataset_size} records)...")
+            results.append(benchmark_delete_many(client, rowids))
+        finally:
+            client.close()
 
     return results

sqlite_vec_client/base.py

@@ -63,6 +63,13 @@ def create_connection(db_path: str) -> sqlite3.Connection:
             connection.enable_load_extension(True)
             sqlite_vec.load(connection)
             connection.enable_load_extension(False)
+
+            # Performance optimizations
+            connection.execute("PRAGMA journal_mode=WAL")
+            connection.execute("PRAGMA synchronous=NORMAL")
+            connection.execute("PRAGMA cache_size=-64000")  # 64MB cache
+            connection.execute("PRAGMA temp_store=MEMORY")
+
             logger.info(f"Successfully connected to database: {db_path}")
             return connection
         except sqlite3.Error as e:
@@ -262,31 +269,33 @@ def add(
         validate_embeddings_match(texts, embeddings, metadata)
         logger.debug(f"Adding {len(texts)} records to table '{self.table}'")
         try:
-            max_id = self.connection.execute(
-                f"SELECT max(rowid) as rowid FROM {self.table}"
-            ).fetchone()["rowid"]
-
-            if max_id is None:
-                max_id = 0
-
             if metadata is None:
                 metadata = [dict() for _ in texts]
 
             data_input = [
                 (text, json.dumps(md), serialize_f32(embedding))
                 for text, md, embedding in zip(texts, metadata, embeddings)
             ]
-            self.connection.executemany(
+
+            cur = self.connection.cursor()
+
+            # Get max rowid before insert
+            max_before = cur.execute(
+                f"SELECT COALESCE(MAX(rowid), 0) FROM {self.table}"
+            ).fetchone()[0]
+
+            cur.executemany(
                 f"""INSERT INTO {self.table}(text, metadata, text_embedding)
                 VALUES (?,?,?)""",
                 data_input,
             )
+
+            # Calculate rowids from max_before
+            rowids = list(range(max_before + 1, max_before + len(texts) + 1))
+
             if not self._in_transaction:
                 self.connection.commit()
-            results = self.connection.execute(
-                f"SELECT rowid FROM {self.table} WHERE rowid > {max_id}"
-            )
-            rowids = [row["rowid"] for row in results]
+
             logger.info(f"Added {len(rowids)} records to table '{self.table}'")
             return rowids
         except sqlite3.OperationalError as e:
@@ -447,15 +456,25 @@ def delete_many(self, rowids: list[int]) -> int:
         if not rowids:
             return 0
         logger.debug(f"Deleting {len(rowids)} records")
-        placeholders = ",".join(["?"] * len(rowids))
+
+        # SQLite has a limit on SQL variables (typically 999 or 32766)
+        # Split into chunks to avoid "too many SQL variables" error
+        chunk_size = 500
         cur = self.connection.cursor()
-        cur.execute(
-            f"DELETE FROM {self.table} WHERE rowid IN ({placeholders})",
-            rowids,
-        )
+        deleted_count = 0
+
+        for i in range(0, len(rowids), chunk_size):
+            chunk = rowids[i : i + chunk_size]
+            placeholders = ",".join(["?"] * len(chunk))
+            cur.execute(
+                f"DELETE FROM {self.table} WHERE rowid IN ({placeholders})",
+                chunk,
+            )
+            deleted_count += cur.rowcount
+
         if not self._in_transaction:
             self.connection.commit()
-        deleted_count = cur.rowcount
+
         logger.info(f"Deleted {deleted_count} records from table '{self.table}'")
         return deleted_count
 
@@ -475,10 +494,93 @@ def update_many(
         if not updates:
             return 0
         logger.debug(f"Updating {len(updates)} records")
-        updated_count = 0
+
+        # Group updates by which fields are being updated
+        text_updates = []
+        metadata_updates = []
+        embedding_updates = []
+        full_updates = []
+
+        mixed_updates = []
+
         for rowid, text, metadata, embedding in updates:
-            if self.update(rowid, text=text, metadata=metadata, embedding=embedding):
-                updated_count += 1
+            has_text = text is not None
+            has_metadata = metadata is not None
+            has_embedding = embedding is not None
+
+            if has_text and has_metadata and has_embedding:
+                if text is not None and metadata is not None and embedding is not None:
+                    full_updates.append(
+                        (text, json.dumps(metadata), serialize_f32(embedding), rowid)
+                    )
+            elif has_text and not has_metadata and not has_embedding:
+                text_updates.append((text, rowid))
+            elif has_metadata and not has_text and not has_embedding:
+                metadata_updates.append((json.dumps(metadata), rowid))
+            elif has_embedding and not has_text and not has_metadata:
+                if embedding is not None:
+                    embedding_updates.append((serialize_f32(embedding), rowid))
+            else:
+                # Mixed updates - store for individual execution
+                mixed_updates.append((rowid, text, metadata, embedding))
+
+        cur = self.connection.cursor()
+        updated_count = 0
+
+        # Batch execute grouped updates
+        if full_updates:
+            cur.executemany(
+                f"""
+                UPDATE {self.table}
+                SET text = ?, metadata = ?, text_embedding = ? WHERE rowid = ?
+                """,
+                full_updates,
+            )
+            updated_count += cur.rowcount
+
+        if text_updates:
+            cur.executemany(
+                f"UPDATE {self.table} SET text = ? WHERE rowid = ?", text_updates
+            )
+            updated_count += cur.rowcount
+
+        if metadata_updates:
+            cur.executemany(
+                f"UPDATE {self.table} SET metadata = ? WHERE rowid = ?",
+                metadata_updates,
+            )
+            updated_count += cur.rowcount
+
+        if embedding_updates:
+            cur.executemany(
+                f"UPDATE {self.table} SET text_embedding = ? WHERE rowid = ?",
+                embedding_updates,
+            )
+            updated_count += cur.rowcount
+
+        # Handle mixed updates individually
+        for rowid, text, metadata, embedding in mixed_updates:
+            sets = []
+            params: list[Any] = []
+            if text is not None:
+                sets.append("text = ?")
+                params.append(text)
+            if metadata is not None:
+                sets.append("metadata = ?")
+                params.append(json.dumps(metadata))
+            if embedding is not None:
+                sets.append("text_embedding = ?")
+                params.append(serialize_f32(embedding))
+            params.append(rowid)
+
+            if sets:
+                sql = f"UPDATE {self.table} SET " + ", ".join(sets) + " WHERE rowid = ?"
+                cur.execute(sql, params)
+                updated_count += cur.rowcount
+
+        if not self._in_transaction:
+            self.connection.commit()
+
         logger.info(f"Updated {updated_count} records in table '{self.table}'")
         return updated_count
 
@@ -493,13 +595,26 @@ def get_all(self, batch_size: int = 100) -> Generator[Result, None, None]:
         """
         validate_limit(batch_size)
         logger.debug(f"Fetching all records with batch_size={batch_size}")
-        offset = 0
+        last_rowid = 0
+        cursor = self.connection.cursor()
+
         while True:
-            batch = self.list_results(limit=batch_size, offset=offset)
-            if not batch:
+            cursor.execute(
+                f"""
+                SELECT rowid, text, metadata, text_embedding FROM {self.table}
+                WHERE rowid > ?
+                ORDER BY rowid ASC
+                LIMIT ?
+                """,
+                [last_rowid, batch_size],
+            )
+            rows = cursor.fetchall()
+            if not rows:
                 break
-            yield from batch
-            offset += batch_size
+
+            results = self.rows_to_results(rows)
+            yield from results
+            last_rowid = results[-1][0]  # Get last rowid from batch
 
     @contextmanager
     def transaction(self) -> Generator[None, None, None]: