[Regression] Forced psycopg2 dependency on Linux causes sudden build failures

[mateusz]

Is this a regression?

• I believe this is a regression in functionality
• I have searched the existing issues, and I could not find an existing issue for this regression

Current Behavior

My existing build system now breaks due to introduction of hard psycopg2 dependency into pyproject.toml in 1.8.0 in #60 , which forces psycopg2 compilation from source on Linux, which hasn't got the dependencies installed in my docker image, which breaks the build. My desired production setup is psycopg2-binary (for consistency), and I do not wish to build psycopg2 from source (because I don't want the dev dependencies).

Expected/Previous Behavior

I expect a minor release to not break an existing build system, and I expect the same psycopg2 variant to be used across dev and prod for quality reasons (replicable build).

Steps To Reproduce

1. On an existing psycopg2-binary setup, update dbt-postgres to 1.8.0.

Relevant log output

#0 21.05   ChefBuildError
#0 21.05 
#0 21.05   Backend subprocess exited when trying to invoke get_requires_for_build_wheel
#0 21.05   
#0 21.05   running egg_info
#0 21.05   writing psycopg2.egg-info/PKG-INFO
#0 21.05   writing dependency_links to psycopg2.egg-info/dependency_links.txt
#0 21.05   writing top-level names to psycopg2.egg-info/top_level.txt
#0 21.05   
#0 21.05   Error: pg_config executable not found.
#0 21.05   
#0 21.05   pg_config is required to build psycopg2 from source.  Please add the directory
#0 21.05   containing pg_config to the $PATH or specify the full executable path with the
#0 21.05   option:
#0 21.05   
#0 21.05       python setup.py build_ext --pg-config /path/to/pg_config build ...
#0 21.05   
#0 21.05   or with the pg_config option in 'setup.cfg'.
#0 21.05   
#0 21.05   If you prefer to avoid building psycopg2 from source, please install the PyPI
#0 21.05   'psycopg2-binary' package instead.
#0 21.05   
#0 21.05   For further information please check the 'doc/src/install.rst' file (also at
#0 21.05   <https://www.psycopg.org/docs/install.html>).

Environment

- OS: Mac
- Python: 3.9
- dbt-postgres (working version): 1.7.14
- dbt-postgres (regression version): 1.8.0

Additional Context

There is also a comment here from @andy-clapson challenging Linux=prod assumption.

[mateusz]

Is there a workaround that would let me force psycopg2-binary? I have to currently resort to editing my poetry.lock which isn't too nice 😁

[andy-clapson]

second this regression - this fix should be reverted and the use case handled differently.
This in particular is right on the money:

I expect a minor release to not break an existing build system, and I expect the same psycopg2 variant to be used across dev and prod for quality reasons (replicable build).

[padbk]

I agree. I posted here: #93

If the use of dbt-postgres is only as a dependency of dbt-redshift, psycopg2 is not needed at all.

My outstanding questions:

1. Is Psycopg2 really needed as a depedency of dbt-postgres?
2. If it is needed, is there a way to skip installation of Psycopg2 when using dbt-redshift only for example?
3. If it is not possible to skip installation, is there a way to specify to use Psycopg2-binary instead of having to build from source when using Linux?

[jtcohen6]

@mateusz @andy-clapson @padbk Thanks for opening the issue, and for the detailed writeups. I want to apologize for the surprise this caused. While this isn't a change in the functionality within dbt-postgres, it was a breaking change for users on Linux distributions who are missing the build dependencies for psycopg2 and previously installed psycogp2-binary by default.

Thanks @mikealfare for already responding over here:

• 32c8547#r142020506

The previous behavior was to check an environment variable (DBT_PSYCOPG2_NAME) during pip install to determine whether to install psycopg2 or psycopg2-binary. We needed to change this behavior because:

• We are migrating all our codebases from setup.py to pyproject.toml, following the tide of the Python packaging ecosystem.
• Our previous approach to dynamically injecting build dependencies based on an environment variable doesn't have a clear analogue in pyproject.toml. (This also goes against general guidance.)

What you can do:

• If you're on Linux, you can install the psycopg2 build dependencies, which will also have the effect of making psycopg2 faster (like what @padbk showed in Psycopg2 dependency introduced in 1.8.0 #93
• The problem is, if you're on Linux and you want psycopg2-binary, and you do not want to install the build dependencies, there is no good way to get this working.

What we can look into doing:

1. Try restoring the previous conditional behavior, via a Hatch hook instead of dynamic code in setup.py. We made an initial attempt at this (revert default psycopg2 back to psycopg2-binary #41), but it was not working correctly ([Regression] Installing psycopg2-binary instead of psycopg2 #50) and so we removed it in Install psycopg2 based on platform #60.
2. If we cannot get (1) working, we should make psycopg2-binary the default across the board, even for Linux. For production pipelines, we would then recommend that users add pip uninstall psycopg2-binary && pip install psycopg2 (and hope all transitive dependencies work). This is ugly, but it replicates the previous "opt-in" behavior, via two additional pip commands instead of setting DBT_PSYCOPG2_NAME=psycopg2.

Rejected mitigations:

1. For Linux users who are missing psycopg2 build dependencies, try installing these build dependencies automatically (via Hatch hook). We could support this for a handful of the most popular Linux distributions... but this feels like a dangerous path to start heading down, and I don't think it should be within the scope of dbt-postgres.
2. Use extras as a way to conditionally support either psycopg2 or psycopg2-binary for installation. However, pip install dbt-postgres would stop working — everyone would need to replace with either pip install dbt-postgres[psycogp2] or pip install dbt-postgres[psycopg2-binary]. (This has long been the case for dbt-spark, which requires totally unrelated dependencies for different connection methods — but it's a convention we established many years ago and before the v1.0 release.)
3. See if we could figure out how to catch the pip --no-binary flag and choose psycopg2 / psycopg-binary accordingly. This is the more-standard pattern for source vs. dist, but several years ago the psycopg2 maintainers decided to instead split into two separate named packages. There's quite a lot of history here... (psycopg2-binary: Why? psycopg/psycopg2#674)

[mateusz]

Thank you for your in-depth answer and understanding. I had a quick look at providing optional deps via extras, but didn't find anything over what you already provided.

Philosophically speaking, 1.8.0 is already backwards-incompatible and so perhaps there is a case here to embrace this, explain to the community, and switch to the most pythonic approach that's best for the long run?

[farovictor]

To anyone that needs a working solution and doesn't care about using a bin version of Postgres connector. I have forked this repo and updated the readme with instructions so you can build your package. Here is the link: https://github.com/farovictor/dbt-postgres

If you do not want to pull the fork you still can do it by yourself, pull official repo and do this:

1. Change the dependency definition for psycopg2 in pyproject.toml, to look like this:

dependencies = [
    "psycopg2-binary>=2.9,<3.0",
    ...

Remove any other psycopg2 definition in file, they are splited by platform. Just remove it and add the one above.

2. Install hatch on your system or environment:

pip install hatch

3. Build the package

hatch build

4. Install dbt-postgres from your wheel file located in the dist folder, created during the build process.

Be happy.