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Postgres

Install dlt with PostgreSQL​

To install the DLT library with PostgreSQL dependencies, run:

pip install dlt[postgres]

Setup Guide​

1. Initialize a project with a pipeline that loads to Postgres by running:

dlt init chess postgres

2. Install the necessary dependencies for Postgres by running:

pip install -r requirements.txt

This will install dlt with the postgres extra, which contains the psycopg2 client.

3. After setting up a Postgres instance and psql / query editor, create a new database by running:

CREATE DATABASE dlt_data;

Add the dlt_data database to .dlt/secrets.toml.

4. Create a new user by running:

CREATE USER loader WITH PASSWORD '<password>';

Add the loader user and <password> password to .dlt/secrets.toml.

5. Give the loader user owner permissions by running:

ALTER DATABASE dlt_data OWNER TO loader;

You can set more restrictive permissions (e.g., give user access to a specific schema).

6. Enter your credentials into .dlt/secrets.toml. It should now look like this:

[destination.postgres.credentials]

database = "dlt_data"
username = "loader"
password = "<password>" # replace with your password
host = "localhost" # or the IP address location of your database
port = 5432
connect_timeout = 15

You can also pass a database connection string similar to the one used by the psycopg2 library or SQLAlchemy. The credentials above will look like this:

# keep it at the top of your toml file! before any section starts
destination.postgres.credentials="postgresql://loader:<password>@localhost/dlt_data?connect_timeout=15"

To pass credentials directly, you can use the credentials argument passed to the dlt.pipeline or pipeline.run methods.

pipeline = dlt.pipeline(pipeline_name='chess', destination='postgres', dataset_name='chess_data', credentials="postgresql://loader:<password>@localhost/dlt_data")

Write disposition​

All write dispositions are supported.

If you set the replace strategy to staging-optimized, the destination tables will be dropped and replaced by the staging tables.

Data loading​

dlt will load data using large INSERT VALUES statements by default. Loading is multithreaded (20 threads by default).

Supported file formats​

Supported column hints​

postgres will create unique indexes for all columns with unique hints. This behavior may be disabled.

Additional destination options​

The Postgres destination creates UNIQUE indexes by default on columns with the unique hint (i.e., _dlt_id). To disable this behavior:

[destination.postgres]
create_indexes=false

dbt support​

This destination integrates with dbt via dbt-postgres.

Syncing of dlt state​

This destination fully supports dlt state sync.

Additional Setup guides​

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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