Change of Address

The BigQuery backend is now maintained as a first-party backend in Ibis.

You can find updated installation and usage instructions in the Ibis documentation.

Ibis BigQuery backend

This package provides a BigQuery backend for Ibis.

Installation

Supported Python Versions

Python >= 3.7, < 3.11

Unsupported Python Versions

Python < 3.7

Install with conda:

conda install -c conda-forge ibis-bigquery

Install with pip:

pip install ibis-bigquery

Usage

Connecting to BigQuery

Recommended usage (Ibis 2.x, only):

import ibis

conn = ibis.bigquery.connect(
    project_id=YOUR_PROJECT_ID,
    dataset_id='bigquery-public-data.stackoverflow'
)

Using this library directly:

import ibis
import ibis_bigquery

conn = ibis_bigquery.connect(
    project_id=YOUR_PROJECT_ID,
    dataset_id='bigquery-public-data.stackoverflow'
)

Running a query

edu_table = conn.table(
    'international_education',
    database='bigquery-public-data.world_bank_intl_education')
edu_table = edu_table['value', 'year', 'country_code', 'indicator_code']

country_table = conn.table(
    'country_code_iso',
    database='bigquery-public-data.utility_us')
country_table = country_table['country_name', 'alpha_3_code']

expression = edu_table.join(
    country_table,
    [edu_table.country_code == country_table.alpha_3_code])

print(conn.execute(
    expression[edu_table.year == 2016]
        # Adult literacy rate.
        [edu_table.indicator_code == 'SE.ADT.LITR.ZS']
        .sort_by([ibis.desc(edu_table.value)])
        .limit(20)
))