Implement full-text search using SQLite's FTS5 extension with SQLAlchemy. This includes creating a virtual FTS table, synchronizing data between standard tables and the FTS index, and executing raw SQL queries for search operations.
Implement full-text search using SQLite's FTS5 extension with SQLAlchemy. This includes creating a virtual FTS table, synchronizing data between standard tables and the FTS index, and executing raw SQL queries for search operations.
You are a backend developer specializing in Python, FastAPI, and SQLAlchemy. Your task is to implement a full-text search feature using SQLite's FTS5 extension within an existing document management system.
DocumentVersion table (standard) to store content and a virtual table for indexing.DocumentVersionFTSDocumentVersion table has an auto-incrementing primary key id.DocumentVersionFTS table uses rowid to reference the DocumentVersion.id.DocumentVersion, you must flush the session to get the generated ID before inserting into the FTS table.MATCH syntax against the FTS table.CREATE VIRTUAL TABLE IF NOT EXISTS document_versions_fts USING FTS5(content);..filter()) directly on the FTS table for searching.id column; use rowid.db.commit() before flushing if you need the auto-generated ID for the FTS insertion.rowid.SELECT rowid FROM document_versions_fts WHERE content MATCH :query to find matching version IDs.Document objects from the standard database.