A package with custom kedro datasets for VLGI
Project description
vlgi-datasets
Overview
Repositiory with custom kedro datasets
How to use
In code:
from kedro.io import DataCatalog
from vlgi_datasets import PostgresTableUpsertDataset
io = DataCatalog(
{
"asset": PostgresTableUpsertDataset(
table_name="assets",
credentials={"con": "myconnectionstring"},
save_args={"if_exists": "append", "constraint": "assets_pkey"},
),
}
)
In catalog.yml:
asset:
type: vlgi_datasets.PostgresTableUpsertDataset
table_name: assets
credentials:
con: myconnectionstring
save_args:
if_exists: append
constraint: assets_pkey
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
vlgi-datasets-0.1.4.tar.gz
(4.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file vlgi-datasets-0.1.4.tar.gz.
File metadata
- Download URL: vlgi-datasets-0.1.4.tar.gz
- Upload date:
- Size: 4.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b29140e1d8cdf48e4ca70b69b4d93cffe563ff32f19eaba76371ee6bc774c175
|
|
| MD5 |
80bf842341b1fcd3578aa9758d562077
|
|
| BLAKE2b-256 |
42bab47964bd62bac9506b1b6eeff2104be730dcdfe67704c7947132703060f8
|
File details
Details for the file vlgi_datasets-0.1.4-py3-none-any.whl.
File metadata
- Download URL: vlgi_datasets-0.1.4-py3-none-any.whl
- Upload date:
- Size: 6.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
728e9ac608a658d6e0333b76fef47d550b354548b8b505793c48bfd4a8e38ea8
|
|
| MD5 |
cdd6d740966badafca1f224854bfa919
|
|
| BLAKE2b-256 |
d87355101a34e23a1232eb1c1535e4c8d545eed14fb1a761fd95a43ad1020446
|