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dbt-postgres
Advanced tools
The set of adapter protocols and base functionality that supports integration with dbt-core
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it's ready for analysis.
dbt-postgres enables dbt to work with Postgres.
For more information on using dbt with Postgres, consult the docs.
Review the repository README.md as most of that information pertains to dbt-postgres.
By default, dbt-postgres installs psycopg2-binary.
This is great for development, and even testing, as it does not require any OS dependencies; it's a pre-built wheel.
However, building psycopg2 from source will grant performance improvements that are desired in a production environment.
In order to install psycopg2, use the following steps:
if [[ $(pip show psycopg2-binary) ]]; then
PSYCOPG2_VERSION=$(pip show psycopg2-binary | grep Version | cut -d " " -f 2)
pip uninstall -y psycopg2-binary
pip install psycopg2==$PSYCOPG2_VERSION
fi
This ensures the version of psycopg2 will match that of psycopg2-binary.
dbt-postgres? Check out the Contributing Guide.FAQs
The set of adapter protocols and base functionality that supports integration with dbt-core
We found that dbt-postgres demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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