Skip to main content

An Ibis backend for GizmoSQL

Project description

ibis-gizmosql

An Ibis back-end for GizmoSQL

ibis-gizmosql-ci Supported Python Versions PyPI version PyPI Downloads

Setup (to run locally)

Install Python package

You can install ibis-gizmosql from PyPi or from source.

Option 1 - from PyPi

# Create the virtual environment
python3 -m venv .venv

# Activate the virtual environment
. .venv/bin/activate

pip install ibis-gizmosql

Option 2 - from source - for development

git clone https://github.com/gizmodata/ibis-gizmosql

cd ibis-gizmosql

# Create the virtual environment
python3 -m venv .venv

# Activate the virtual environment
. .venv/bin/activate

# Upgrade pip, setuptools, and wheel
pip install --upgrade pip setuptools wheel

# Install the Ibis GizmoSQL back-end - in editable mode with client and dev dependencies
pip install --editable .[dev,test]

Note

For the following commands - if you running from source and using --editable mode (for development purposes) - you will need to set the PYTHONPATH environment variable as follows:

export PYTHONPATH=$(pwd)/ibis_gizmosql

Usage

In this example - we'll start a GizmoSQL server with the DuckDB back-end in Docker, and connect to it from Python using Ibis.

First - start the GizmoSQL server - which by default mounts a small TPC-H database:

docker run --name gizmosql \
           --detach \
           --rm \
           --tty \
           --init \
           --publish 31337:31337 \
           --env TLS_ENABLED="1" \
           --env GIZMOSQL_PASSWORD="gizmosql_password" \
           --env PRINT_QUERIES="1" \
           --pull missing \
           gizmodata/gizmosql:latest

Next - connect to the GizmoSQL server from Python using Ibis by running this Python code:

import os
import ibis
from ibis import _

# Kwarg connection example
con = ibis.gizmosql.connect(host="localhost",
                            user=os.getenv("GIZMOSQL_USERNAME", "gizmosql_username"),
                            password=os.getenv("GIZMOSQL_PASSWORD", "gizmosql_password"),
                            port=31337,
                            use_encryption=True,
                            disable_certificate_verification=True
                            )

# URL connection example
# con = ibis.connect("gizmosql://gizmosql_username:gizmosql_password@localhost:31337?disableCertificateVerification=True&useEncryption=True")

print(con.tables)

# assign the LINEITEM table to variable t (an Ibis table object)
t = con.table('lineitem')

# use the Ibis dataframe API to run TPC-H query 1
results = (t.filter(_.l_shipdate.cast('date') <= ibis.date('1998-12-01') + ibis.interval(days=90))
       .mutate(discount_price=_.l_extendedprice * (1 - _.l_discount))
       .mutate(charge=_.discount_price * (1 + _.l_tax))
       .group_by([_.l_returnflag,
                  _.l_linestatus
                  ]
                 )
       .aggregate(
            sum_qty=_.l_quantity.sum(),
            sum_base_price=_.l_extendedprice.sum(),
            sum_disc_price=_.discount_price.sum(),
            sum_charge=_.charge.sum(),
            avg_qty=_.l_quantity.mean(),
            avg_price=_.l_extendedprice.mean(),
            avg_disc=_.l_discount.mean(),
            count_order=_.count()
        )
       .order_by([_.l_returnflag,
                  _.l_linestatus
                  ]
                 )
       )

print(results.execute())

You should see output:

  l_returnflag l_linestatus    sum_qty sum_base_price sum_disc_price     sum_charge avg_qty avg_price avg_disc  count_order
0            A            F  380456.00   532348211.65   505822441.49   526165934.00   25.58  35785.71     0.05        14876
1            N            F    8971.00    12384801.37    11798257.21    12282485.06   25.78  35588.51     0.05          348
2            N            O  765251.00  1072862302.10  1019517788.99  1060424708.62   25.47  35703.76     0.05        30049
3            R            F  381449.00   534594445.35   507996454.41   528524219.36   25.60  35874.01     0.05        14902

Handy development commands

Version management

Bump the version of the application - (you must have installed from source with the [dev] extras)
bumpver update --patch

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

ibis_gizmosql-0.0.5.tar.gz (25.7 kB view details)

Uploaded Source

Built Distribution

ibis_gizmosql-0.0.5-py3-none-any.whl (22.9 kB view details)

Uploaded Python 3

File details

Details for the file ibis_gizmosql-0.0.5.tar.gz.

File metadata

  • Download URL: ibis_gizmosql-0.0.5.tar.gz
  • Upload date:
  • Size: 25.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for ibis_gizmosql-0.0.5.tar.gz
Algorithm Hash digest
SHA256 83faec592f91540e82b5366360f54ff2fa55cac264da44ad127a956385627709
MD5 f15769d4dad3bb0ef4143b1ddd856c9a
BLAKE2b-256 79911b1439cf18fb806cdeb1fbb40fa3b80fc5d9fd1f7b6c600150eab0b97e64

See more details on using hashes here.

File details

Details for the file ibis_gizmosql-0.0.5-py3-none-any.whl.

File metadata

File hashes

Hashes for ibis_gizmosql-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 430f0e15b45e74bf61ce831f37078f816a01f1ba70433c83c03c1571455f55c0
MD5 d140f9eddffd21ffe0395da6a1a5c06d
BLAKE2b-256 a7b8aaf70632a39bf77c1d61705bb1a0ab219a14449bb9023f1011b106416622

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