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Storebrand have moved on from Meltano, and we're therefore no longer maintaining this repository.

target-mssql

target-mssql is a Singer target for Microsoft SQL Server databases.

Known limitations

Objects and arrays are converted to strings, as writing json/arrays isn't supported in the underlying library that is used.
Does not handle encoded strings

Installation

Install from Meltano:

meltano add loader target-mssql

Install from PyPi:

pipx install target-mssql

Install from GitHub:

pipx install git+https://github.com/storebrand/target-mssql.git@main

Configuration

Accepted Config Options

Regarding connection info, either the sqlalchemy_url or username, password, host, and database needs to be specified. If the sqlalchemy_url is set, the other connection parameters are ignored.

Capabilities

about
stream-maps
schema-flattening

Settings

Setting	Required	Default	Description
sqlalchemy_url	False	None	SQLAlchemy connection string
username	False	None	SQL Server username
password	False	None	SQL Server password
host	False	None	SQL Server host
port	False	1433	SQL Server port
database	False	None	SQL Server database
default_target_schema	False	None	Default target schema to write to
table_prefix	False	None	Prefix to add to table name
prefer_float_over_numeric	False	0	Use float data type for numbers (otherwise number type is used)
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 for this target is available by running:

target-mssql --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-mssql by itself or in a pipeline using Meltano.

Executing the Target Directly

target-mssql --version
target-mssql --help
# Test using the "Carbon Intensity" sample:
tap-carbon-intensity | target-mssql --config /path/to/target-mssql-config.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 target_mssql/tests subfolder and then run:

poetry run pytest

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

poetry run target-mssql --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-mssql
meltano install

Now you can test and orchestrate using Meltano:

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

SDK Dev Guide

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