Meta

• License: Apache Software License (http://www.apache.org/licenses/LICENSE-2.0)
• Author:Spark Developers
• Requires: Python >=3.9

Classifiers

• Development Status
  • 5 - Production/Stable
• License
  • OSI Approved :: Apache Software License
• Programming Language
  • Python :: 3.9
  • Python :: 3.10
  • Python :: 3.11
  • Python :: 3.12
  • Python :: 3.13
  • Python :: Implementation :: CPython
  • Python :: Implementation :: PyPy
• Typing
  • Typed

Apache Spark

Spark is a unified analytics engine for large-scale data processing. It provideshigh-level APIs in Scala, Java, Python, and R, and an optimized engine thatsupports general computation graphs for data analysis. It also supports arich set of higher-level tools including Spark SQL for SQL and DataFrames,pandas API on Spark for pandas workloads, MLlib for machine learning, GraphX for graph processing,and Structured Streaming for stream processing.

https://spark.apache.org/

Online Documentation

You can find the latest Spark documentation, including a programmingguide, on theproject web page

Python Packaging

This README file only contains basic information related to pip installed PySpark.This packaging is currently experimental and may change in future versions (although we will do our best to keep compatibility).Using PySpark requires the Spark JARs, and if you are building this from source please see the builder instructions at"Building Spark".

The Python packaging for Spark is not intended to replace all of the other use cases. This Python packaged version of Spark is suitable for interacting with an existing cluster (be it Spark standalone, YARN) - but does not contain the tools required to set up your own standalone Spark cluster. You can download the full version of Spark from theApache Spark downloads page.

NOTE: If you are using this with a Spark standalone cluster you must ensure that the version (including minor version) matches or you may experience odd errors.

Python Requirements

At its core PySpark depends on Py4J, but some additional sub-packages have their own extra requirements for some features (including numpy, pandas, and pyarrow).See alsoDependencies for production, anddev/requirements.txt for development.

Verified details

Maintainers

dongjoon

HaejoonLee

hyukjinkwon

spark-upload

yaooqinn

Unverified details

Project links

• Homepage

• Download URL:pyspark-4.0.0.tar.gz
• Upload date: May 23, 2025
• Size: 434.1 MB
• Tags: Source
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