Behavior changes

Most flags exist to configure runtime behaviors with multiple valid choices. The right choice may vary based on the environment, user preference, or the specific invocation.

Another category of flags provides existing projects with a migration window for runtime behaviors that are changing in newer releases of dbt. These flags help us achieve a balance between these goals, which can otherwise be in tension, by:

• Providing a better, more sensible, and more consistent default behavior for new users/projects.
• Providing a migration window for existing users/projects — nothing changes overnight without warning.
• Providing maintainability of dbt software. Every fork in behavior requires additional testing & cognitive overhead that slows future development. These flags exist to facilitate migration from "current" to "better," not to stick around forever.

These flags go through three phases of development:

1. Introduction (disabled by default): dbt adds logic to support both 'old' and 'new' behaviors. The 'new' behavior is gated behind a flag, disabled by default, preserving the old behavior.
2. Maturity (enabled by default): The default value of the flag is switched, from false to true, enabling the new behavior by default. Users can preserve the 'old' behavior and opt out of the 'new' behavior by setting the flag to false in their projects. They may see deprecation warnings when they do so.
3. Removal (generally enabled): After marking the flag for deprecation, we remove it along with the 'old' behavior it supported from the dbt codebases. We aim to support most flags indefinitely, but we're not committed to supporting them forever. If we choose to remove a flag, we'll offer significant advance notice.

What is a behavior change?

The same dbt project code and the same dbt commands return one result before the behavior change, and they return a different result after the behavior change.

Examples of behavior changes:

• dbt begins raising a validation error that it didn't previously.
• dbt changes the signature of a built-in macro. Your project has a custom reimplementation of that macro. This could lead to errors, because your custom reimplementation will be passed arguments it cannot accept.
• A dbt adapter renames or removes a method that was previously available on the {{ adapter }} object in the dbt-Jinja context.
• dbt makes a breaking change to contracted metadata artifacts by deleting a required field, changing the name or type of an existing field, or removing the default value of an existing field (README).
• dbt removes one of the fields from structured logs.

The following are not behavior changes:

• Fixing a bug where the previous behavior was defective, undesirable, or undocumented.
• dbt begins raising a warning that it didn't previously.
• dbt updates the language of human-friendly messages in log events.
• dbt makes a non-breaking change to contracted metadata artifacts by adding a new field with a default, or deleting a field with a default (README).

The vast majority of changes are not behavior changes. Because introducing these changes does not require any action on the part of users, they are included in continuous releases of dbt Cloud and patch releases of dbt Core.

By contrast, behavior change migrations happen slowly, over the course of months, facilitated by behavior change flags. The flags are loosely coupled to the specific dbt runtime version. By setting flags, users have control over opting in (and later opting out) of these changes.

Behavior change flags

These flags must be set in the flags dictionary in dbt_project.yml. They configure behaviors closely tied to project code, which means they should be defined in version control and modified through pull or merge requests, with the same testing and peer review.

The following example displays the current flags and their current default values in the latest dbt Cloud and dbt Core versions. To opt out of a specific behavior change, set the values of the flag to False in dbt_project.yml. You'll continue to see warnings for legacy behaviors that you have opted out of explicitly until you either resolve them (switch the flag to True) or choose to silence the warnings using the warn_error_options.silence flag.

dbt_project.yml

flags:
  require_explicit_package_overrides_for_builtin_materializations: False
  require_model_names_without_spaces: False
  source_freshness_run_project_hooks: False

When we use dbt Cloud in the following table, we're referring to accounts that have gone "Versionless."

Flag	dbt Cloud: Intro	dbt Cloud: Maturity	dbt Core: Intro	dbt Core: Maturity
require_explicit_package_overrides_for_builtin_materializations	2024.04.141	2024.06.192	1.6.14, 1.7.14	1.8.0
require_resource_names_without_spaces	2024.05.146	TBD*	1.8.0	1.9.0
source_freshness_run_project_hooks	2024.03.61	TBD*	1.8.0	1.9.0
[Redshift] restrict_direct_pg_catalog_access	2024.09.242	TBD*	dbt-redshift v1.9.0	1.9.0

When the dbt Cloud Maturity is "TBD," it means we have not yet determined the exact date when these flags' default values will change. Affected users will see deprecation warnings in the meantime, and they will receive emails providing advance warning ahead of the maturity date. In the meantime, if you are seeing a deprecation warning, you can either:

• Migrate your project to support the new behavior, and then set the flag to True to stop seeing the warnings.
• Set the flag to False. You will continue to see warnings, and you will retain the legacy behavior even after the maturity date (when the default value changes).

Package override for built-in materialization

Setting the require_explicit_package_overrides_for_builtin_materializations flag to True prevents this automatic override.

We have deprecated the behavior where installed packages could override built-in materializations without your explicit opt-in. When this flag is set to True, a materialization defined in a package that matches the name of a built-in materialization will no longer be included in the search and resolution order. Unlike macros, materializations don't use the search_order defined in the project dispatch config.

The built-in materializations are 'view', 'table', 'incremental', 'materialized_view' for models as well as 'test', 'unit', 'snapshot', 'seed', and 'clone'.

You can still explicitly override built-in materializations, in favor of a materialization defined in a package, by reimplementing the built-in materialization in your root project and wrapping the package implementation.

macros/materialization_view.sql

{% materialization view, snowflake %}
  {{ return(my_installed_package_name.materialization_view_snowflake()) }}
{% endmaterialization %}

In the future, we may extend the project-level dispatch configuration to support a list of authorized packages for overriding built-in materialization.

No spaces in resource names

The require_resource_names_without_spaces flag enforces using resource names without spaces.

The names of dbt resources (models, sources, etc) should contain letters, numbers, and underscores. We highly discourage the use of other characters, especially spaces. To that end, we have deprecated support for spaces in resource names. When the require_resource_names_without_spaces flag is set to True, dbt will raise an exception (instead of a deprecation warning) if it detects a space in a resource name.

models/model name with spaces.sql

-- This model file should be renamed to model_name_with_underscores.sql

Project hooks with source freshness

Set the source_freshness_run_project_hooks flag to True to include "project hooks" (on-run-start / on-run-end) in the dbt source freshness command execution.

If you have specific project on-run-start / on-run-end hooks that should not run before/after source freshness command, you can add a conditional check to those hooks:

dbt_project.yml

on-run-start:
  - '{{ ... if flags.WHICH != 'freshness' }}'

Adapter-specific behavior changes

Some adapters may show behavior changes when certain flags are enabled. Refer to the following sections for each respective adapter.

[Redshift] restrict_direct_pg_catalog_access

Originally, the dbt-redshift adapter was built on top of the dbt-postgres adapter and used Postgres tables for metadata access. With this flag enabled, the adapter will use the Redshift API (through the Python client) if available, or query Redshift's information_schema tables instead of using pg_ tables.

While we don't expect any user-noticeable behavior changes due to this change, out of caution we are gating it behind a behavior-change flag and encouraging users to test it before it becomes the default for everyone.