Migrations

ADK stores use standard SQLSpec migrations. Generate migrations for the database used by your ADK backend, then run them with the SQLSpec migration CLI.

Schema Bootstrapping

You can programmatically create ADK session/event and memory tables with create_tables() / ensure_tables():

await session_store.ensure_tables()
await memory_store.ensure_tables()

Alternatively, configure SQLSpec migrations on the database config and run the migration CLI ahead of deployment:

from sqlspec.adapters.asyncpg import AsyncpgConfig

config = AsyncpgConfig(
    connection_config={"dsn": "postgresql://localhost/app"},
    migration_config={"script_location": "migrations/postgres"},
)

sqlspec upgrade

Use the code path when the store should keep its tables current. On startup, ensure_tables() checks the live tables. It creates missing tables and adds new columns from the store DDL. It does not rename, drop, or change columns.

Control this behavior under extension_config["adk"]:

config = AsyncpgConfig(
    connection_config={"dsn": "postgresql://localhost/app"},
    extension_config={
        "adk": {
            "manage_schema": True,
            "create_schema": True,
            "run_migrations": False,
        }
    },
)

manage_schema=False turns off all automatic table changes. create_schema=False lets the store add columns to current tables. It will not create a missing table. run_migrations is for tools that supply a versioned migration runner. That work stays separate from automatic checks.

For a release that only adds columns, update the adapter store DDL. You do not need a schema seed or a numbered migration. Write a migration for renamed or dropped columns, type changes, data backfills, and other complex work. Old schema_version rows remain readable, but they do not control the schema.

Use versioned migrations when your release process needs a ledger. Also use them for changes that do more than add columns.

Note

The migration CLI resolves configuration from --config, SQLSPEC_CONFIG, or [tool.sqlspec] in pyproject.toml.

When extension_config["adk"] is present, ADK extension migrations are auto-included. Use migration_config={"exclude_extensions": ["adk"]} to skip only ADK extension migrations, or migration_config={"include_extensions": ["adk"]} to opt in explicitly by extension name. Use migration_config={"enabled": False} to disable migrations entirely for a given database config.

Feature Gating

Your migration configuration decides whether ADK migrations run at all. Within those migrations, enable_sessions and enable_memory are the only per-feature switches:

config = AsyncpgConfig(
    connection_config={"dsn": "postgresql://localhost/app"},
    migration_config={"script_location": "migrations/postgres"},
    extension_config={"adk": {"enable_sessions": True, "enable_memory": False}},
)

enable_sessions=False suppresses the session, event, state, and metadata DDL. enable_memory=False suppresses the memory table DDL and the PostgreSQL vector extension statement described below. Both default to True.

PostgreSQL pgvector Requirement

PostgreSQL memory tables store embeddings in a VECTOR column, which the pgvector extension provides. When memory is enabled on PostgreSQL, migration 0001_create_adk_tables runs CREATE EXTENSION IF NOT EXISTS vector immediately before the first statement that uses the type. The statement is idempotent, so re-running the migration against a database that already has the extension succeeds.

SQL can only enable an extension the server already ships. Two things must be true before the migration runs:

• The pgvector server files are installed on the PostgreSQL host, so the extension is listed in pg_available_extensions.

• The role running the migration is allowed to create the extension.

On managed database services, ask your DBA or platform team to pre-provision pgvector through the provider's supported extension workflow rather than granting broad privileges to the migration role. A pre-provisioned extension costs nothing: the migration's IF NOT EXISTS statement becomes a no-op.

If either requirement is unmet, the migration fails on the CREATE EXTENSION statement with a clear permission or availability error instead of a later type "vector" does not exist error from the memory table DDL.

Automatic create_tables() / ensure_tables() reconciliation never attempts extension installation, so it runs no repeated startup privilege check. Deployments that rely on that path instead of versioned migrations must pre-provision pgvector themselves.

Clean-Break Migration Notes

If you are upgrading from a pre-clean-break version of the ADK extension, note the following schema changes:

• Events table: The column layout changed to full-event JSON storage. Legacy pre-clean-break schemas used event_json for the event payload. The clean-break schema stores the full ADK Event in event_data alongside indexed scalar columns (id, app_name, user_id, session_id, invocation_id, timestamp).

• Artifact table: New table (adk_artifact) for artifact metadata. Create this table when enabling the artifact service.

• BigQuery: Removed. Migrate to Spanner, PostgreSQL, or any other supported backend.

See Migrations for the full workflow and commands.