Avro to Bigquery
About The Project
Avro to bigquery is a simple project to create a bigquery schema from an avro schema.
Getting Started
Installation`
pip install avro-to-bigquery
Usage
With avro_schema.avsc:
{
"type": "record",
"name": "User",
"namespace": "example.avro",
"fields": [
{"name": "favorite_number", "type": "int", "doc": "Favorite number"}
]
}
>>> import json
>>> from pathlib import Path
>>> from avro_to_bigquery import convert_schema
>>> schema = json.loads(Path("avro_schema.avsc").read_text())
>>> print(convert_schema(schema))
(SchemaField('favorite_number', 'INTEGER', 'NULLABLE', 'Favorite number', (), ()),)
Roadmap
See the open issues for a list of proposed features (and known issues).
Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. For detailed contributing guidelines, please see https://github.com/wayfair-incubator/avro-to-bigquery/blob/main/CONTRIBUTING.md
License
Distributed under the MIT License. See LICENSE for more information.
Contact
Project Link: https://github.com/wayfair-incubator/avro-to-bigquery/
Release files for avro-to-bigquery 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| avro-to-bigquery-0.3.1.tar.gz | 5.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| avro_to_bigquery-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.4 kB
Release files / avro-to-bigquery-0.3.1.tar.gz
| Download URL | avro-to-bigquery-0.3.1.tar.gz |
|---|---|
| Size | 5.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / avro_to_bigquery-0.3.1-py3-none-any.whl
| Download URL | avro_to_bigquery-0.3.1-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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