Snowpark Connect for Spark enables developers to run their Spark workloads directly to Snowflake using the Spark Connect protocol. This approach decouples the client and server, allowing Spark code to run remotely against Snowflake's compute engine without managing a Spark cluster. It offers a streamlined way to integrate Snowflake's governance, security, and scalability into Spark-based workflows, supporting a familiar PySpark experience with pushdown optimizations into Snowflake.
3 maintainers
Metadata
3 maintainers
Release files for snowpark-connect 1.46.0
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_connect-1.46.0.tar.gz | 48.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| snowpark_connect-1.46.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 97.4 MB
Release files / snowpark_connect-1.46.0.tar.gz
| Download URL | snowpark_connect-1.46.0.tar.gz |
|---|---|
| Size | 48.5 MB |
| 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/6.0.1 CPython/3.11.6
|
Release files / snowpark_connect-1.46.0-py3-none-any.whl
| Download URL | snowpark_connect-1.46.0-py3-none-any.whl |
|---|---|
| Size | 48.9 MB |
| 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/6.0.1 CPython/3.11.6
|
