openeuler/spark Docker 镜像 - 轩辕镜像 | Docker 镜像高效稳定拉取服务

Quick reference

• The official Spark docker image.

• Maintained by: openEuler CloudNative SIG.

• Where to get help: openEuler CloudNative SIG, openEuler.

Spark | openEuler

Current Spark docker images are built on the openEuler. This repository is free to use and exempted from per-user rate limits.

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich 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.

Learn more on Spark website.

Supported tags and respective Dockerfile links

The tag of each spark docker image is consist of the version of spark and the version of basic image. The details are as follows

Usage

In this usage, users can select the corresponding {Tag} based on their requirements.

• Online Documentation

  You can find the latest Spark documentation, including a programming guide, on the project web page. This README file only contains basic setup instructions.

• Pull the openeuler/spark image from docker

  bash
  docker pull openeuler/spark:{Tag}
  

• Interactive Scala Shell

  The easiest way to start using Spark is through the Scala shell:

  bash
  docker run -it --name spark openeuler/spark:{Tag} /opt/spark/bin/spark-shell
  

  Try the following command, which should return 1,000,000,000:

  bash
  scala> spark.range(1000 * 1000 * 1000).count()
  

• Interactive Python Shell

  The easiest way to start using PySpark is through the Python shell:

  bash
  docker run -it --name spark openeuler/spark:{Tag} /opt/spark/bin/pyspark
  

  And run the following command, which should also return 1,000,000,000:

  bash
  >>> spark.range(1000 * 1000 * 1000).count()
  

• Running Spark on Kubernetes

  [***]

• Configuration and environment variables

  See more in [***]

Question and answering

If you have any questions or want to use some special features, please submit an issue or a pull request on openeuler-docker-images.