Dimemsions GBQ Schema Utility
CLI to retrieve SQL schema information about the Dimensions on Google BigQuery dataset.
NOTE This is the same documentation available from https://docs.dimensions.ai/bigquery/data-sources.html - only it's retrieving from the BigQuery database itself.
Requirements
- Python
- Personal Google account credentials set up in your local machine. The BigQueryLAB has a tutorial showing how to do that.
Examples
-
dimschema publications .: show all fields from the Publications table -
dimschema ids: show fields containing the string 'ids' -
dimschema datasets ids: show fields containing the string 'ids', only in the Datasets table
Development
$ mkvirtualenv dimschema
$ pip install --editable .
See https://stackoverflow.com/questions/30306099/pip-install-editable-vs-python-setup-py-develop
Metadata
Release files for dimschema 0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| dimschema-0.3.tar.gz | 10.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dimschema-0.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 26.3 kB
Release files / dimschema-0.3.tar.gz
| Download URL | dimschema-0.3.tar.gz |
|---|---|
| Size | 10.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / dimschema-0.3-py2.py3-none-any.whl
| Download URL | dimschema-0.3-py2.py3-none-any.whl |
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| Size | 16.3 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.9
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