Pre-release

This release is a pre-release and may not be stable for production use.

`tap-postgres`

Singer tap for Postgres.

Capabilities

catalog
state
discover
about
stream-maps
schema-flattening

Settings

Setting	Required	Default	Description
sqlalchemy_url	True	None	Example postgresql://postgres:postgres@localhost:5432/postgres
ssh_tunnel	False	None	SSH Tunnel Configuration, this is a json object.
ssh_tunnel.enable	True (if ssh_tunnel set)	False	Enable an ssh tunnel (also known as bastion host), see the other ssh_tunnel.* properties for more details.
ssh_tunnel.host	True (if ssh_tunnel set)	False	Host of the bastion host, this is the host we'll connect to via ssh
ssh_tunnel.username	True (if ssh_tunnel set)	False	Username to connect to bastion host
ssh_tunnel.port	True (if ssh_tunnel set)	22	Port to connect to bastion host
ssh_tunnel.private_key	True (if ssh_tunnel set)	None	Private Key for authentication to the bastion host
ssh_tunnel.private_key_password	False	None	Private Key Password, leave None if no password is set
stream_maps	False	None	Config object for stream maps capability. For more information check out Stream Maps.
stream_map_config	False	None	User-defined config values to be used within map expressions.
flattening_enabled	False	None	'True' to enable schema flattening and automatically expand nested properties.
flattening_max_depth	False	None	The max depth to flatten schemas.

A full list of supported settings and capabilities is available by running: tap-postgres --about

Configure using environment variables

This Singer tap will automatically import any environment variables within the working directory's .env if the --config=ENV is provided, such that config values will be considered if a matching environment variable is set either in the terminal context or in the .env file.

SSH Tunnels (Bastion Hosts)

This tap supports connecting to a Postgres database via an SSH tunnel (also known as a bastion host). This is useful if you need to connect to a database that is not publicly accessible. This is the same as using ssh -L and ssh -R, but this is done inside the tap itself.

Installation

Developer TODO: Update the below as needed to correctly describe the install procedure. For instance, if you do not have a PyPi repo, or if you want users to directly install from your git repo, you can modify this step as appropriate.

pipx install tap-postgres

Usage

You can easily run tap-postgres by itself or in a pipeline using Meltano.

Executing the Tap Directly

tap-postgres --version
tap-postgres --help
tap-postgres --config CONFIG --discover > ./catalog.json

Developer Resources

Initialize your Development Environment

pipx install poetry
poetry install

Create and Run Tests

Create tests within the tap_postgres/tests subfolder and then run:

poetry run pytest

You can also test the tap-postgres CLI interface directly using poetry run:

poetry run tap-postgres --help

Testing with Meltano

Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.

Your project comes with a custom meltano.yml project file already created.

Next, install Meltano (if you haven't already) and any needed plugins:

# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-postgres
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-postgres --version
# OR run a test `elt` pipeline:
meltano elt tap-postgres target-jsonl

SDK Dev Guide

See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.

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