ClickHouse Database Core Driver for Python, Pandas, and Superset

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  • License: Apache Software License (Apache License 2.0)
  • Author: ClickHouse Inc.
  • Tags clickhouse , superset , sqlalchemy , http , driver
  • Requires: Python ~=3.7
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Project description

ClickHouse Connect

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

  • Pandas DataFrames
  • Numpy Arrays
  • PyArrow Tables
  • Superset Connector
  • SQLAlchemy 1.3 and 1.4 (limited feature set)

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

Installation

pip install clickhouse-connect

ClickHouse Connect requires Python 3.7 or higher.

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 incorporates a minimal SQLAlchemy implementation (without any ORM features) for compatibility with Superset. It has only been tested against SQLAlchemy versions 1.3.x and 1.4.x, and is unlikely to work with more complex SQLAlchemy applications.

Complete Documentation

The documentation for ClickHouse Connect has moved to ClickHouse Docs

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  • License: Apache Software License (Apache License 2.0)
  • Author: ClickHouse Inc.
  • Tags clickhouse , superset , sqlalchemy , http , driver
  • Requires: Python ~=3.7
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Release history Release notifications | RSS feed

0.14.0

0.13.0

0.12.0rc1 pre-release

0.11.0

0.10.0

0.9.2

0.9.1

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This version

0.6.13

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0.5.4 yanked

Reason this release was yanked:

LowCardinality numpy/pandas broken

0.5.3

0.5.2

0.5.1

0.5.0

0.4.8

0.4.7

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0.4.5 yanked

Reason this release was yanked:

readonly settings is really boken

0.4.4 yanked

Reason this release was yanked:

readonly settings is really broken

0.4.3

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0.2.8

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