generic-linked-database
An approach to integrate multiple databases behind a unified interface.
Consider the following scenario: You have SQL database or a file database of CSV files, however, these data are missing metadata. Your metadata is stored in a separate RDF database. So your actual database are in two different databases, one for the data and one for the metadata.
Using gldb, you can access both databases through a unified interface. This allows you to query the data and metadata
together in a simple way.
Quickstart
Installation
Install the package:
pip install gldb
Example
An example exists as Jupyter Notebook in docs/examples/. You may also try it online
with Google Colab:
1 maintainer
Metadata
1 maintainer
Release files for gldb 2.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gldb-2.1.1.tar.gz | 16.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gldb-2.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.8 kB
Release files / gldb-2.1.1.tar.gz
| Download URL | gldb-2.1.1.tar.gz |
|---|---|
| Size | 16.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
|
Release files / gldb-2.1.1-py3-none-any.whl
| Download URL | gldb-2.1.1-py3-none-any.whl |
|---|---|
| Size | 19.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
|
