Metadata-Version: 2.1
Name: clickhouse-connect
Version: 0.9.0
Summary: ClickHouse Database Core Driver for Python, Pandas, and Superset
Home-page: https://github.com/ClickHouse/clickhouse-connect
Author: ClickHouse Inc.
Author-email: clients@clickhouse.com
License: Apache License 2.0
Keywords: clickhouse,superset,sqlalchemy,http,driver
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: ~=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: certifi
Requires-Dist: urllib3 >=1.26
Requires-Dist: pytz
Requires-Dist: zstandard
Requires-Dist: lz4
Provides-Extra: arrow
Requires-Dist: pyarrow ; extra == 'arrow'
Provides-Extra: numpy
Requires-Dist: numpy ; extra == 'numpy'
Provides-Extra: orjson
Requires-Dist: orjson ; extra == 'orjson'
Provides-Extra: pandas
Requires-Dist: pandas ; extra == 'pandas'
Provides-Extra: polars
Requires-Dist: polars >=1.0 ; extra == 'polars'
Provides-Extra: sqlalchemy
Requires-Dist: sqlalchemy <3.0,>=1.4.40 ; extra == 'sqlalchemy'
Provides-Extra: tzlocal
Requires-Dist: tzlocal >=4.0 ; extra == 'tzlocal'

## ClickHouse Connect

A high performance core database driver for connecting ClickHouse to Python, Pandas, and Superset

* Pandas DataFrames (numpy and arrow-backed)
* Numpy Arrays
* PyArrow Tables
* Polars DataFrames
* Superset Connector
* SQLAlchemy Core (select, joins, lightweight deletes; limited feature set)

ClickHouse Connect currently uses the ClickHouse HTTP interface for maximum compatibility.

### Installation

```
pip install clickhouse-connect
```

ClickHouse Connect requires Python 3.9 or higher. We officially test against Python 3.9 through 3.13.

### Superset Connectivity

ClickHouse Connect is fully integrated with Apache Superset. Previous versions of ClickHouse Connect utilized a
dynamically loaded Superset Engine Spec, but as of Superset v2.1.0 the engine spec was incorporated into the main
Apache Superset project and removed from clickhouse-connect in v0.6.0. If you have issues connecting to earlier
versions of Superset, please use clickhouse-connect v0.5.25.

When creating a Superset Data Source, either use the provided connection dialog, or a SqlAlchemy DSN in the form
`clickhousedb://{username}:{password}@{host}:{port}`.

### SQLAlchemy Implementation

ClickHouse Connect includes a lightweight SQLAlchemy dialect implementation focused on compatibility with **Superset**
and **SQLAlchemy Core**.

Supported features include:
- Basic query execution via SQLAlchemy Core
- `SELECT` queries with `JOIN`s
- Lightweight `DELETE` statements

The implementation does not include ORM support and is not intended as a full SQLAlchemy dialect. While it can support
a range of Core-based applications beyond Superset, it may not be suitable for more complex SQLAlchemy applications
that rely on full ORM or advanced dialect functionality.

### Asyncio Support

ClickHouse Connect provides an async wrapper, so that it is possible to use the client in an `asyncio` environment.
See the [run_async example](./examples/run_async.py) for more details.

### Complete Documentation

The documentation for ClickHouse Connect has moved to
[ClickHouse Docs](https://clickhouse.com/docs/integrations/python)
