pyspark-sampling
sparksampling is a PySpark-based sampling and data quality assessment GRPC service that supports containerized
deployments and Spark On K8S
Feature
- Common sampling methods: Random, Stratified, Simple
- Relationship Sampling based on DAG and Topological sorting
- Cloud Native and Spark on K8S support
QUICK START
Installation
The trial only requires direct installation using pypi
pip install sparksampling
run as
sparksampling
The service will start and listen on port 8530
Docker
docker run -p 8530:8530 wh1isper/pysparksampling:latest
Development
Using dev install
pip install -e .[test]
pre-commit install
run test
pytest -v
1 maintainer
Metadata
1 maintainer
Release files for sparksampling 0.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| sparksampling-0.4.2.tar.gz | 1.9 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sparksampling-0.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / sparksampling-0.4.2.tar.gz
| Download URL | sparksampling-0.4.2.tar.gz |
|---|---|
| Size | 1.9 MB |
| Tags | Source |
|
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/4.0.2 CPython/3.10.11
|
Release files / sparksampling-0.4.2-py3-none-any.whl
| Download URL | sparksampling-0.4.2-py3-none-any.whl |
|---|---|
| Size | 33.3 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/4.0.2 CPython/3.10.11
|
Security for sparksampling 0.4.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
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To learn more about protecting yourself from malicious actors, visit our package security documentation.
