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This is a Python Grpc Stub for sparksampling

sparksampling

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

MORE

For more, see our github page: https://github.com/Wh1isper/pyspark-sampling/

Metadata

Release files for sparksampling-client 0.3.0

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Source distribution for sparksampling-client 0.3.0
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Table of built distributions (wheels) for sparksampling-client 0.3.0
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sparksampling_client-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 17.8 kB

Release files / sparksampling_client-0.3.0.tar.gz

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