Snowpark Submit
Project description
The snowpark-submit is designed for running non-interactive, batch-oriented Spark workloads directly on Snowflake's infrastructure using familiar Spark semantics. It eliminates the need to manage a dedicated Spark cluster while allowing you to maintain your existing Spark development workflows. This tool is ideal for submitting production-ready Spark applications—such as ETL pipelines, and scheduled data transformations—using a simple CLI interface.
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
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 snowpark_submit-1.0.1.tar.gz.
File metadata
- Download URL: snowpark_submit-1.0.1.tar.gz
- Upload date:
- Size: 30.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2ac2b7147aa25b763d121f662dd7a9d21327fd968bbdc839d68ada54dd9fccfa
|
|
| MD5 |
e6b11ba4ec1fa26e5de2ed062f94f72a
|
|
| BLAKE2b-256 |
87a5e57ceff7301e3cb756af0012ee0cc044ee00778d2ebdc25fda9e6832057e
|
File details
Details for the file snowpark_submit-1.0.1-py3-none-any.whl.
File metadata
- Download URL: snowpark_submit-1.0.1-py3-none-any.whl
- Upload date:
- Size: 34.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ef4e1228adc7197a77a04909c2d740806c10a770933171305438012528924a8b
|
|
| MD5 |
b9acdad53da04b150e15a88253b3e84f
|
|
| BLAKE2b-256 |
dc8c19d8c8209279ad01764bcebc60306d5ca0a75b6370061bfc3a8fe1f32305
|
