Skip to main content

ClickHouse Database Core Driver for Python, Pandas, and Superset

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 3.8 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

clickhouse_connect_micropip-0.7.10.tar.gz (79.0 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file clickhouse_connect_micropip-0.7.10.tar.gz.

File metadata

File hashes

Hashes for clickhouse_connect_micropip-0.7.10.tar.gz
Algorithm Hash digest
SHA256 0e5dda029745bd0833c84cd1a43240bc0606d5512d21587204937abc0302d0b9
MD5 1f0f1603dd36be34610ea9ded5258b93
BLAKE2b-256 3a548034f0e1de893f49313871d80bb41f4ccaec0d26bed4cca216a7a9fa3efc

See more details on using hashes here.

File details

Details for the file clickhouse_connect_micropip-0.7.10-py3-none-any.whl.

File metadata

File hashes

Hashes for clickhouse_connect_micropip-0.7.10-py3-none-any.whl
Algorithm Hash digest
SHA256 47970c74fc71b178e1bc8da19ccfb9ae7a55776040ddab2afeed2c7185b76522
MD5 a0fffa44a759d4412864ee479812307b
BLAKE2b-256 e3488679e117255a82500bcf6d06a7bd079db2f5c9a401bf3be7e45e7437f827

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page