target-starrocks 0.0.1a5

Singer target for StarRocks, built with the Meltano Singer SDK.

target-starrocks

target-starrocks is a Singer target for StarRocks.

Build with the Meltano Target SDK.

Installation

Install from PyPI:

uv tool install target-starrocks

Install from GitHub:

uv tool install git+https://github.com/reservoir-data/target-starrocks.git@main

Supported Python Versions

• 3.13
• 3.14

Configuration

Accepted Config Options

Setting	Required	Default	Description
user	False	None	User for the StarRocks database
password	False	None	Password for the StarRocks database
host	False	None	Host for the StarRocks database
port	False	9030	Port for the StarRocks database
database	True	None	Database name for the StarRocks database

Additional Config Options

The following built-in configuration options are also supported:

Setting	Required	Default	Description
default_target_schema	False	None	The default target database schema name to use for all streams.
hard_delete	False	0	Hard delete records.
add_record_metadata	False	None	Whether to add metadata fields to records.
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.
batch_size_rows	False	None	Maximum number of rows in each batch.
process_activate_version_messages	False	1	Whether to process ACTIVATE_VERSION messages.
validate_records	False	1	Whether to validate the schema of the incoming streams.
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.
faker_config	False	None	Config for the Faker instance variable fake used within map expressions. Only applicable if the plugin specifies faker as an addtional dependency (through the singer-sdk faker extra or directly).
faker_config.seed	False	None	Value to seed the Faker generator for deterministic output: https://faker.readthedocs.io/en/master/#seeding-the-generator
faker_config.locale	False	None	One or more LCID locale strings to produce localized output for: https://faker.readthedocs.io/en/master/#localization
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-starrocks --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.

Authentication and Authorization

Usage

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

Executing the Target Directly

target-starrocks --version
target-starrocks --help
# Test using the "Smoke Test" tap:
tap-smoke-test | target-starrocks --config /path/to/target-starrocks-config.json

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

curl -LsSf https://astral.sh/uv/install.sh | sh  # or see https://docs.astral.sh/uv/getting-started/installation/
uv sync

Create and Run Tests

Create tests within the tests subfolder and then run:

uv run pytest

You can also test the target-starrocks CLI interface directly using uv run:

uv run target-starrocks --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
uv tool install meltano
meltano config meltano set venv.backend uv

# Initialize meltano within this directory
cd target-starrocks
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke target-starrocks --version

# OR run a test EL pipeline with the Smoke Test sample tap:
meltano run tap-smoke-test target-starrocks

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.