Skip to main content

SQLAlchemy dialect for SQream Blue

Project description

Requirements

  • Python > 3.9.

  • SQLAlchemy == 1.3.18

  • SQream Blue DB-API Connector >= 1.0.42

Installation

Install from the PyPi repository using pip:

pip3.9 install --upgrade pysqream_blue_sqlalchemy

Usage

Integrating with SQLAlchemy

import sqlalchemy as sa
_access_token = "ACCESS TOKEN"
conn_str = f"sqream_blue://domain:443/database"
connect_args = {'access_token': _access_token}
engine = sa.create_engine(conn_string, connect_args=connect_args)
conn = engine.connect()
res = conn.execute("select 'Success' as Test").fetchall()
print(res)

Integrating with the IPython/Jupyter SQL Magic

%load_ext sql
%config SqlMagic.autocommit=False
%config SqlMagic.displaycon=False
%config SqlMagic.autopandas=True
%sql sqream_blue://product.isqream.com/master?access_token=<ACCESS_TOKEN>
%sql select 'Success' as Test

Connection String

sqream_blue://<domain>:443/<db_name>

Parameters

Parameter

Description

domain

Specifies the domain

port

Specifies the port number

database

Specifies the database name

Limitations

Parameterized Queries

SQream SQLAlchemy supports only the BULK INSERT statement.

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

pysqream_blue_sqlalchemy-0.8.tar.gz (5.6 kB view hashes)

Uploaded Source

Built Distribution

pysqream_blue_sqlalchemy-0.8-py3-none-any.whl (7.2 kB view hashes)

Uploaded Python 3

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