This project houses the experimental client for Spark Connect for Apache Spark written in Golang.
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.
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.
Download Spark distribution (3.4.0+), unzip the package.
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_2.12:3.4.0
Step 5: Run the example Go application.
go run cmd/spark-connect-example-spark-session/main.go
Following diagram shows main code in current prototype:
+-------------------+
| |
| dataFrameImpl |
| |
+-------------------+
|
|
+
+-------------------+
| |
| sparkSessionImpl |
| |
+-------------------+
|
|
+
+---------------------------+ +----------------+
| | | |
| SparkConnectServiceClient |--------------+| Spark Driver |
| | | |
+---------------------------+ +----------------+
SparkConnectServiceClient is GRPC client which talks to Spark Driver. sparkSessionImpl generates dataFrameImpl instances. dataFrameImpl uses the GRPC client in sparkSessionImpl to communicate with Spark Driver.
We will mimic the logic in Spark Connect Scala implementation, and adopt Go common practices, e.g. returning error object for error handling.
Please review the Contribution to Spark guide for information on how to get started contributing to the project.