- 3.25.0 (latest)
- 3.24.0
- 3.23.1
- 3.22.0
- 3.21.0
- 3.20.1
- 3.19.0
- 3.18.0
- 3.17.2
- 3.16.0
- 3.15.0
- 3.14.1
- 3.13.0
- 3.12.0
- 3.11.4
- 3.4.0
- 3.3.6
- 3.2.0
- 3.1.0
- 3.0.1
- 2.34.4
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.1
- 2.29.0
- 2.28.1
- 2.27.1
- 2.26.0
- 2.25.2
- 2.24.1
- 2.23.3
- 2.22.1
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.1
- 2.15.0
- 2.14.0
- 2.13.1
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.2
- 2.5.0
- 2.4.0
- 2.3.1
- 2.2.0
- 2.1.0
- 2.0.0
- 1.28.2
- 1.27.2
- 1.26.1
- 1.25.0
- 1.24.0
- 1.23.1
- 1.22.0
- 1.21.0
- 1.20.0
- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
IPython Magics for BigQuery
To use these magics, you must first register them. Run the %load_ext
magic
in a Jupyter notebook cell.
%load_ext google.cloud.bigquery
This makes the %%bigquery
magic available.
Code Samples
Running a query:
%%bigquery
SELECT name, SUM(number) as count
FROM `bigquery-public-data.usa_names.usa_1910_current`
GROUP BY name
ORDER BY count DESC
LIMIT 3
Running a parameterized query:
%%bigquery --params {"corpus_name": "hamlet", "limit": 10}
SELECT word, SUM(word_count) as count
FROM `bigquery-public-data.samples.shakespeare`
WHERE corpus = @corpus_name
GROUP BY word
ORDER BY count DESC
LIMIT @limit