https://github.com/javadbahoosh/spark-streaming-multi-language-docker

Dockerized infrastructure and boilerplate code for consuming Kafka topics with Spark Streaming in Scala, Python, and Java, featuring Redis integration for result aggregation.
https://github.com/javadbahoosh/spark-streaming-multi-language-docker

docker kafka spark

Last synced: 16 days ago
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Dockerized infrastructure and boilerplate code for consuming Kafka topics with Spark Streaming in Scala, Python, and Java, featuring Redis integration for result aggregation.

• Host: GitHub
• URL: https://github.com/javadbahoosh/spark-streaming-multi-language-docker
• Owner: JavadBahoosh
• Created: 2024-11-22T17:54:06.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-23T13:17:18.000Z (3 months ago)
• Last Synced: 2025-01-30T20:54:15.276Z (16 days ago)
• Topics: docker, kafka, spark
• Language: Dockerfile
• Homepage:
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Multi-Language Spark Streaming with Kafka and Redis: A Comparative Boilerplate

This project aims to create the required Docker infrastructure for consuming data from a Kafka topic using

Spark Streaming in different languages (Scala, Python, and Java). Additionally, it includes boilerplate code

for implementing Spark Streaming consumers in these languages.

## Prerequisites

- Docker

- redis-cli

## Setup

1. Clone the repository.

2. Build the Docker images: `docker compose build`

3. Run the project: `./run.sh`

## Monitoring

The `run.sh` script monitors Redis keys every 5 seconds:

- Scala: `scala_total_messages`, `scala_total_sum`

- Python: `python_total_messages`, `python_total_sum`

- Java: `java_total_messages`, `java_total_sum`