Skip to content

dbt 1.8 breaks on update

Error traceback ending with No module named dbt.adapters.factory

On updating dbt-bigquery to latest 1.8.0: No module named 'dbt.adapters.factory'. TL;DR - pip install --force-reinstall dbt-adapters following the broken upgrade should resolve the problem. Delete the venv and reinstall from scratch if not. See my comment in dbt core issue 10135 for an explanation of the cause and why this solution works.

  • Thanks to Equal Experts logo for supporting this content.

Issue - dbt 1.8.0 won't run

I spun up a Codespace on pypi_vulnerabilities to resolve a failing build. My auto-update ran as usual, updating all my Python dependencies to latest stable release and I got dbt-core 1.8.0, now out of beta as of 2024-05-09.

The first thing my auto-update does that depends on dbt - install/update dbt packages - failed.

dbt 1.8.0 fails to run
Successfully installed daff-1.3.46 dbt-adapters-1.1.1 dbt-bigquery-1.8.0 dbt-common-1.0.4 dbt-core-1.8.0 dbt-semantic-interfaces-0.5.1
install or upgrade dbt dependencies
Traceback (most recent call last):
  File "/workspaces/pypi_vulnerabilities/venv/bin/dbt", line 5, in <module>
    from dbt.cli.main import cli
  File "/workspaces/pypi_vulnerabilities/venv/lib/python3.11/site-packages/dbt/cli/__init__.py", line 1, in <module>
    from .main import cli as dbt_cli  # noqa
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspaces/pypi_vulnerabilities/venv/lib/python3.11/site-packages/dbt/cli/main.py", line 14, in <module>
    from dbt.cli import requires, params as p
  File "/workspaces/pypi_vulnerabilities/venv/lib/python3.11/site-packages/dbt/cli/requires.py", line 10, in <module>
    from dbt.adapters.factory import adapter_management, register_adapter, get_adapter
ModuleNotFoundError: No module named 'dbt.adapters.factory'

Clean install to fix

Clearing my venv and reinstalling from scratch gets things back up and running. Here's the specific procedure I used:

venv clear and reinit procedure
$ deactivate # deactivate the venv, if active
$ rm -r venv # recursively delete the venv folder
$ python -m venv venv
$ . venv/bin/activate
$ pip install -U -r requirements.txt
$ dbt deps

I actually ran my init_and_update.sh script rather than those highlighted lines, but those are the relevant things it does.

This also explains why my build wasn't breaking (well, not for this reason anyway) - it always starts from scratch.

Changes in adapter dependencies

That's how you can fix the No module named 'dbt.adapters.factory' error if it comes up. As I read the v1.8 upgrade docs I also learned that dbt Labs intend to change the way Python adapter dependencies work.

Beginning in v1.8, dbt-core and adapters are decoupled. Going forward, your installations should explicitly include both dbt-core and the desired adapter.

Scanning through the related technical docs, the auto-update approach I use will still work as intended without explicitly specifying the core dependency - for now.

Up to now adapters have been required release a new minor version to declare compatibility with dbt-core’s minor version. Post dbt-core version 1.8, adapters will not need to do this. Instead maintainers will need to declare their compatibility with dbt-adapters’ versions.

So, if you're setting your adapter dependency with an open upper bound (eg. dbt-bigquery>=1.8.0 as mine will be shortly) then you should also get the latest compatible dbt-core version each time you run pip install -U -r requirements.txt on your development environment or your build system.

It looks like the intent is to make users add a dependency like dbt-core>=1.8.0 explicitly alongside their adapter dependency. I'm not sure what the advantage is, having already solved the need for adapters to release versions in parallel to dbt-core. I'll leave it unspecified for now and my auto update stuff will tell me if and when the change happens that breaks it.


Feedback

If you want to get in touch with me about the content in this post, you can find me on LinkedIn or raise an issue/start a discussion in the GitHub repo. I'll be happy to credit you for any corrections or additions!

If you liked this, you can find content from other great consultants on the Equal Experts network blogs page 🎉