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.
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3 maintainers
Release files for snowpark-submit 1.45.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| snowpark_submit-1.45.0.tar.gz | 47.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| snowpark_submit-1.45.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 102.3 kB
Release files / snowpark_submit-1.45.0.tar.gz
| Download URL | snowpark_submit-1.45.0.tar.gz |
|---|---|
| Size | 47.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-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/7.0.0 CPython/3.11.2
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Release files / snowpark_submit-1.45.0-py3-none-any.whl
| Download URL | snowpark_submit-1.45.0-py3-none-any.whl |
|---|---|
| Size | 55.0 kB |
| Tags | Python 3 |
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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/7.0.0 CPython/3.11.2
|
