semvec/pypi-packages huggingface dataset:
harlequin_odbc 0.1.0
A Harlequin adapter for ODBC drivers.
License: MIT
Requires Python: >=3.8.1,<4.0

# harlequin-odbc

This repo provides the ODBC adapter for Harlequin.

## Installation

`harlequin-odbc` depends on `harlequin`, so installing this package will also install Harlequin.

### Pre-requisites

You will need an ODBC driver manager installed on your OS. Windows has one built-in, but for Unix-based OSes, you will need to download and install one before installing `harlequin-odbc`. You can install unixODBC with `brew install unixodbc` or `sudo apt install unixodbc`. See the [pyodbc docs](https://github.com/mkleehammer/pyodbc/wiki/Install) for more info.

Additionally, you will need to install the ODBC driver for your specific database (e.g., `ODBC Driver 18 for SQL Server` for MS SQL Server). For more information, see the docs for your specific database.

### Using pip

To install this adapter into an activated virtual environment:
```bash
pip install harlequin-odbc
```

### Using poetry

```bash
poetry add harlequin-odbc
```

### Using pipx

If you do not already have Harlequin installed:

```bash
pip install harlequin-odbc
```

If you would like to add the ODBC adapter to an existing Harlequin installation:

```bash
pipx inject harlequin harlequin-odbc
```

### As an Extra
Alternatively, you can install Harlequin with the `odbc` extra:

```bash
pip install harlequin[odbc]
```

```bash
poetry add harlequin[odbc]
```

```bash
pipx install harlequin[odbc]
```

## Usage and Configuration

You can open Harlequin with the ODBC adapter by selecting it with the `-a` option and passing an ODBC connection string:

```bash
harlequin -a odbc 'Driver={ODBC Driver 18 for SQL Server};Server=tcp:harlequin-example.database.windows.net,1433;Database=dev;Uid=harlequin;Pwd=my_secret;Encrypt=yes;TrustServerCertificate=no;Connection Timeout=30;'
```

The ODBC adapter does not accept other options.

For more information, see the [Harlequin Docs](https://harlequin.sh/docs/odbc/index).