target-clickhouse

target-clickhouse is a Singer target for clickhouse.

Configuration

Accepted Config Options

Setting	Required	Default	Description
sqlalchemy_url	False	None	The SQLAlchemy connection string for the ClickHouse database. Used if set, otherwise separate settings are used
driver	False	http	Driver type
username	False	default	Database user
password	False	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
engine_type	False	None	The engine type to use for the table.
table_name	False	None	The name of the table to write to. Defaults to stream name.
table_path	False	None	The table path for replicated tables. This is required when using any of the replication engines. Check out the documentation for more information. Use `$table_name` to substitute the table name.
replica_name	False	None	The `replica_name` for replicated tables. This is required when using any of the replication engines.
cluster_name	False	None	The cluster to create tables in. This is passed as the `clickhouse_cluster` argument when creating a table. Documentation can be found here.
default_target_schema	False	None	The default target database schema name to use for all streams.
optimize_after	False	0	Run 'OPTIMIZE TABLE' after data insert
optimize_after	False	0	Run 'OPTIMIZE TABLE' after data insert. Useful whentable engine removes duplicate rows.
load_method	False	TargetLoadMethods.APPEND_ONLY	The method to use when loading data into the destination. `append-only` will always write all input records whether that records already exists or not. `upsert` will update existing records and insert new records. `overwrite` will delete all existing records and insert all input records.
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: target-clickhouse --about

Configure using environment variables

This Singer target 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

Usage

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

Executing the Target Directly

target-clickhouse --version
target-clickhouse --help
# Test using the "Carbon Intensity" sample:
tap-carbon-intensity | target-clickhouse --config /path/to/target-clickhouse-config.json

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

pipx install poetry
poetry install

Start the Clickhouse container

In order to run the tests locally, you must have a Docker daemon running on your host machine.

You can start the Clickhouse container by running:

./docker_run_clickhouse.sh

Create and Run Tests

Create tests within the tests subfolder and then run:

poetry run pytest

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

poetry run target-clickhouse --help

Testing with Meltano

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

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

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

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke target-clickhouse --version
# OR run a test `elt` pipeline with the Carbon Intensity sample tap:
meltano elt tap-carbon-intensity target-clickhouse

SDK Dev Guide

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

Metadata

Release files for shaped-target-clickhouse 0.2.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for shaped-target-clickhouse 0.2.5
File	Size	Uploaded
shaped_target_clickhouse-0.2.5.tar.gz	16.9 kB	Mar 25, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for shaped-target-clickhouse 0.2.5
File	Interpreter	ABI	Platform	Reset
shaped_target_clickhouse-0.2.5-py3-none-any.whl 17.0 kB Mar 25, 2024	Python 3	none	any	Details

Total release size: 33.9 kB

Release files / shaped_target_clickhouse-0.2.5.tar.gz

Download URL	shaped_target_clickhouse-0.2.5.tar.gz
Size	16.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`0445e6951f86775536f425f8ec81553bf38fde2f43ba74d4c86b1819299135d1`
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Upload date	Mar 25, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.8.2 CPython/3.10.13 Linux/6.5.0-1016-azure`

Release files / shaped_target_clickhouse-0.2.5-py3-none-any.whl

Download URL	shaped_target_clickhouse-0.2.5-py3-none-any.whl
Size	17.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`7a86f9da406125ad8df4141f8bf672798d4ad635a0d9ff20a47d1e0d7b653715`
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Upload date	Mar 25, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.8.2 CPython/3.10.13 Linux/6.5.0-1016-azure`