sqlalchemy-timescaledb 0.4.1

A SQLAlchemy dialect for TimescaleDB

SQLAlchemy TimescaleDB

This is the TimescaleDB dialect driver for SQLAlchemy. Drivers psycopg2 and asyncpg are supported.

Install

$ pip install sqlalchemy-timescaledb

Usage

Adding to table timescaledb_hypertable option allows you to configure the hypertable parameters:

import datetime
from sqlalchemy import create_engine, MetaData
from sqlalchemy import Table, Column, Integer, String, DateTime

engine = create_engine('timescaledb://user:password@host:port/database')
metadata = MetaData()
metadata.bind = engine

Metric = Table(
    'metric', metadata,
    Column('name', String),
    Column('value', Integer),
    Column('timestamp', DateTime(), default=datetime.datetime.now),
    timescaledb_hypertable={
        'time_column_name': 'timestamp'
    }
)

metadata.create_all(engine)

Or using declarative_base style:

import datetime

from sqlalchemy.orm import declarative_base
from sqlalchemy import Column, Float, String, DateTime

Base = declarative_base()

class Metric(Base):
    __table_args__ = ({
        'timescaledb_hypertable': {
            'time_column_name': 'timestamp'
        }
    })

    name = Column(String)
    value = Column(Float)
    timestamp = Column(
        DateTime(), default=datetime.datetime.now, primary_key=True
    )

Parameters

• chunk_time_interval

Functions

Timescaledb functions implemented:

first(value, time)

func.first(Metric.value, Metric.timestamp)

last(value, time)

func.last(Metric.value, Metric.timestamp)