tap-clickhouse

tap-clickhouse is a Singer tap for ClickHouse. Unlike 'airbyte' variant this one does not need docker to run.

Built with the Meltano Tap SDK for Singer Taps.

Installation

Install from GitHub:

pipx install git+https://github.com/akurdyukov/tap-clickhouse.git@main

Configuration

Capabilities

• catalog
• state
• discover
• about
• stream-maps
• schema-flattening
• batch

Accepted Config Options

Setting	Required	Default	Description
driver	False	http	Driver type
username	False	default	Database user
password	True	None	Username password
host	False	localhost	Database host
port	False	8123	Database connection port
database	False	default	Database name
secure	False	0	Should the connection be secure
verify	False	1	Should secure connection need to verify SSL/TLS
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.
batch_config	False	None

A full list of supported settings and capabilities for this tap is available by running:

tap-clickhouse --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.

Source Authentication and Authorization

Set username and password settings to authorize.

Usage

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

Executing the Tap Directly

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

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

pipx install poetry
poetry install

Create and Run Tests

Create tests within the tests subfolder and then run:

poetry run pytest

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

poetry run tap-clickhouse --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.

Run ClickHouse server with basic database using

docker-compose -f tests/docker-compose.yml up -d

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

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

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-clickhouse --version
# OR run a test `elt` pipeline:
meltano elt tap-clickhouse 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.