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Simple ClickHouse SQLAlchemy Dialect

Project description

ClickHouse SQLAlchemy

ClickHouse dialect for SQLAlchemy to ClickHouse database.


Documentation is available at


Supported interfaces:

  • native [recommended] (TCP) via clickhouse-driver <>

  • async native (TCP) via asynch <>

  • http via requests

Define table

from sqlalchemy import create_engine, Column, MetaData

from clickhouse_sqlalchemy import (
    Table, make_session, get_declarative_base, types, engines

uri = 'clickhouse+native://localhost/default'

engine = create_engine(uri)
session = make_session(engine)
metadata = MetaData(bind=engine)

Base = get_declarative_base(metadata=metadata)

class Rate(Base):
    day = Column(types.Date, primary_key=True)
    value = Column(types.Int32)

    __table_args__ = (


Insert some data

from datetime import date, timedelta

from sqlalchemy import func

today =
rates = [
    {'day': today - timedelta(i), 'value': 200 - i}
    for i in range(100)

And query inserted data

session.execute(Rate.__table__.insert(), rates)

session.query(func.count( \
    .filter( > today - timedelta(20)) \


ClickHouse SQLAlchemy is distributed under the MIT license.

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Source Distribution

clickhouse-sqlalchemy-0.2.4.tar.gz (37.7 kB view hashes)

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