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apache / spark-connect-go

Apache Spark Connect Client for Golang

Mirrored from https://github.com/apache/spark-connect-go.git
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  1. a8ea83b [#58] Initial Support for `GroupBy` by Martin Grund · 3 weeks ago master
  2. 594f0b7 Improve Package Structure by Martin Grund · 3 weeks ago
  3. 361a564 [#63] Add stack trace support to spark errors by Mathias Schwarz · 3 weeks ago
  4. e93f73b [#58] Adding Support for select, selectExpr, crossJoin, and Alias by Martin Grund · 4 weeks ago
  5. b05a602 [MINOR] Enhance the quick start example and spark session example by Xin Hao · 4 weeks ago

Apache Spark Connect Client for Golang

This project houses the experimental client for Spark Connect for Apache Spark written in Golang.

Current State of the Project

Currently, the Spark Connect client for Golang is highly experimental and should not be used in any production setting. In addition, the PMC of the Apache Spark project reserves the right to withdraw and abandon the development of this project if it is not sustainable.

Getting started

This section explains how to run Spark Connect Go locally.

Step 1: Install Golang: https://go.dev/doc/install.

Step 2: Ensure you have installed buf CLI installed, more info here

Step 3: Run the following commands to setup the Spark Connect client.

git clone https://github.com/apache/spark-connect-go.git
git submodule update --init --recursive

make gen && make test

Step 4: Setup the Spark Driver on localhost.

  1. Download Spark distribution (3.5.0+), unzip the package.

  2. Start the Spark Connect server with the following command (make sure to use a package version that matches your Spark distribution):

sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:3.5.2

Step 5: Run the example Go application.

go run cmd/spark-connect-example-spark-session/main.go

How to write Spark Connect Go Application in your own project

See Quick Start Guide

High Level Design

The overall goal of the design is to find a good balance of principle of the least surprise for develoeprs that are familiar with the APIs of Apache Spark and idiomatic Go usage. The high-level structure of the packages follows roughly the PySpark giudance but with Go idioms.

Contributing

Please review the Contribution to Spark guide for information on how to get started contributing to the project.