Skip to main content

InterSystems IRIS for SQLAlchemy

Project description

sqlalchemy-iris

An InterSystems IRIS dialect for SQLAlchemy.

Pre-requisites

This dialect requires SQLAlchemy, InterSystems DB-API driver, and iris-embedded-python-wrapper. They are specified as requirements so pip will install them if they are not already in place. To install, just:

pip install sqlalchemy-iris

Or to use InterSystems official driver support

pip install sqlalchemy-iris[intersystems]

Usage

In your Python app, you can connect to the database via:

from sqlalchemy import create_engine
engine = create_engine("iris://_SYSTEM:SYS@localhost:1972/USER")

To use with Python Embedded mode through iris-embedded-python-wrapper, when run next to IRIS

from sqlalchemy import create_engine
engine = create_engine("iris+emb://USER")

The legacy path form iris+emb:///USER is also supported.

To use with InterSystems official driver, does not work in Python Embedded mode

from sqlalchemy import create_engine
engine = create_engine("iris+intersystems://_SYSTEM:SYS@localhost:1972/USER")

IRIS Cloud SQL requires SSLContext

url = engine.URL.create(
    drivername="iris",
    host=host,
    port=443,
    username='SQLAdmin',
    password=password,
    database='USER',
)

sslcontext = ssl.create_default_context(cafile="certificateSQLaaS.pem")

engine = create_engine(url, connect_args={"sslcontext": sslcontext})

InterSystems IRIS

You can run your instance of InterSystems IRIS Community Edition with Docker

docker run -d --name iris \
 -p 1972:1972 \
 -p 52773:52773 \
 -e IRIS_USERNAME=_SYSTEM \
 -e IRIS_PASSWORD=SYS \
 intersystemsdc/iris-community:preview

Examples

IRISVector

from sqlalchemy import Column, MetaData, Table, select
from sqlalchemy.sql.sqltypes import Integer, UUID
from sqlalchemy_iris import IRISVector
from sqlalchemy import create_engine
from sqlalchemy.orm import DeclarativeBase
import uuid

DATABASE_URL = "iris://_SYSTEM:SYS@localhost:1972/USER"
engine = create_engine(DATABASE_URL, echo=False)

# Create a table metadata
metadata = MetaData()


def main():
    demo_table = Table(
        "demo_table",
        metadata,
        Column("id", Integer, primary_key=True, autoincrement=True),
        Column("uuid", UUID),
        Column("embedding", IRISVector(item_type=float, max_items=3)),
    )

    demo_table.drop(engine, checkfirst=True)
    demo_table.create(engine, checkfirst=True)
    with engine.connect() as conn:
        conn.execute(
            demo_table.insert(),
            [
                {"uuid": uuid.uuid4(), "embedding": [1, 2, 3]},
                {"uuid": uuid.uuid4(), "embedding": [2, 3, 4]},
            ],
        )
        conn.commit()
        result = conn.execute(
            demo_table.select()
        ).fetchall()
        print("result", result)


main()

Port 1972 is used for binary communication (this driver, xDBC and so on), and 52773 is for web (Management Portal, IRIS based web-applications and API's).

The System Management Portal is available by URL: http://localhost:52773/csp/sys/UtilHome.csp

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

sqlalchemy_iris-0.20.0.tar.gz (41.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sqlalchemy_iris-0.20.0-py3-none-any.whl (36.8 kB view details)

Uploaded Python 3

File details

Details for the file sqlalchemy_iris-0.20.0.tar.gz.

File metadata

  • Download URL: sqlalchemy_iris-0.20.0.tar.gz
  • Upload date:
  • Size: 41.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for sqlalchemy_iris-0.20.0.tar.gz
Algorithm Hash digest
SHA256 d12f4e3f9f72ebbd271e8f2ce7be68d24fa8e519e3d00369ab206ebd91196aee
MD5 0224b55d4346d49956d2755aff89ea07
BLAKE2b-256 53afcc51e2adb81630ae9099370c3466789afa65ad40ffbee16d72a054675b1e

See more details on using hashes here.

Provenance

The following attestation bundles were made for sqlalchemy_iris-0.20.0.tar.gz:

Publisher: python-publish.yml on caretdev/sqlalchemy-iris

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sqlalchemy_iris-0.20.0-py3-none-any.whl.

File metadata

File hashes

Hashes for sqlalchemy_iris-0.20.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8697f5ccdf2a52c0a6731cc2633a4c2286a4cb3dd74429226e0e66de107e7e68
MD5 2444f2ad12cc74d035d50c6064249915
BLAKE2b-256 b9510df817269cc8a1a78e66def5fb697ec8d48bdd43d324bce6c861aeca2ed6

See more details on using hashes here.

Provenance

The following attestation bundles were made for sqlalchemy_iris-0.20.0-py3-none-any.whl:

Publisher: python-publish.yml on caretdev/sqlalchemy-iris

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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