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bqhus: BigQuery helper utils.

Project description

bqhus

Maintainability

BigQuery helper utils for Python

How to use

Select from table

import bqhus
bqhus.select("SELECT * FROM `foo.bar.purchases` LIMIT 20").as_dicts()
bqhus.select("SELECT * FROM `foo.bar.purchases` ORDER BY created_at LIMIT 1", client=bigquery.Client(project="foobar")).first_as_dict()
bqhus.select("SELECT * FROM `foo.bar.purchases` LIMIT 20").to_dataframe()

Create table from query

bqhus.select("SELECT * FROM `some.source.table`").to_table("foo.bar.new_table")

Create temp table from query

bqhus.select("SELECT * FROM `some.source.table`").to_table("foo.bar.new_table").expires_in(days=7)

Export table to GCS as csv

bqhus.export_table("foo.bar.sample").as_csv(gzip=True).to_gcs("my-bucket", "exported-table.csv.gz")

Generate random table name

bqhus.random_table_name("prefix-here")

Development

Run tests

docker compose run bqhus

Project details


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bqhus-0.1.11.tar.gz (5.3 kB view hashes)

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