Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/trK54Ylmz/kafka-spark-streaming-example
Simple examle for Spark Streaming over Kafka topic
https://github.com/trK54Ylmz/kafka-spark-streaming-example
java kafka spark stream-processing
Last synced: 16 days ago
JSON representation
Simple examle for Spark Streaming over Kafka topic
- Host: GitHub
- URL: https://github.com/trK54Ylmz/kafka-spark-streaming-example
- Owner: trK54Ylmz
- License: other
- Created: 2017-01-21T21:05:33.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2020-10-13T10:07:14.000Z (about 4 years ago)
- Last Synced: 2024-08-02T10:27:31.461Z (4 months ago)
- Topics: java, kafka, spark, stream-processing
- Language: Java
- Homepage: https://medium.com/@trK54Ylmz/real-time-dashboard-with-kafka-and-spark-streaming-53fd1f016249
- Size: 292 KB
- Stars: 107
- Watchers: 12
- Forks: 78
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# kafka · spark streaming example
[![Build Status](https://travis-ci.org/trK54Ylmz/kafka-spark-streaming-example.svg?branch=master)](https://travis-ci.org/trK54Ylmz/kafka-spark-streaming-example)
This is a simple dashboard example on Kafka and Spark Streaming
### Prerequisites
Java 1.8 or newer version required because lambda expression used for few cases
1. Java >= 1.8 (Oracle JDK has been tested)
2. Maven >= 3
3. Apache Spark >= 2.0.2
4. Kafka >= 0.10.1.0### Installation
First of all, clone the git repository,
```bash
$ git clone [email protected]:trK54Ylmz/kafka-spark-streaming-example.git
```after you need to use Maven for creating uber jar files,
```bash
$ mvn clean package -DskipTests
```until that moment we had created jar files and now we'll install Kafka and MySQL,
```bash
$ wget http://www-us.apache.org/dist/kafka/0.10.1.0/kafka_2.11-0.10.1.0.tgz
$ # or wget http://www-eu.apache.org/dist/kafka/0.10.1.0/kafka_2.11-0.10.1.0.tgz
$ tar -xf kafka_2.11-0.10.1.0.tgz
$ cd kafka_2.11-0.10.1.0
$ nohup ./bin/zookeeper-server-start.sh ./config/zookeeper.properties > /tmp/kafka-zookeeper.out 2>&1 &
$ nohup ./bin/kafka-server-start.sh ./config/server.properties > /tmp/kafka-server.out 2>&1 &
```Kafka is ready we can continue to install MySQL,
```bash
$ sudo apt-get install mysql-server # for Ubuntu, Debian
$ sudo yum install mysql-server && sudo systemctl start mysqld # for CentOS, RHEL
$ brew install mysql && mysql.server restart # for macOS
```and finally create MySQL database and table,
```sql
CREATE DATABASE IF NOT EXISTS dashboard_test;USE dashboard_test;
CREATE TABLE IF NOT EXISTS events (
market VARCHAR(24) NOT NULL DEFAULT '',
rate FLOAT DEFAULT NULL,
dt DATETIME NOT NULL,
PRIMARY KEY (market, dt)
)
ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
```### Usage
1 - Start the Spark streaming service and it'll process events from Kafka topic to MySQL,
```bash
$ cd kafka-spark-streaming-example
$ java -Dconfig=./config/common.conf -jar streaming/target/spark-streaming-0.1.jar
```2 - Start the Kafka producer and it'll write events to Kafka topic,
```bash
$ java -Dconfig=./config/common.conf -jar producer/target/kafka-producer-0.1.jar
```3 - Start the web server so you can see the dashboard
```bash
$ java -Dconfig=./config/common.conf -jar web/target/web-0.1.jar
```4 - If everything look fine, please enter the dashboard address,
```bash
open http://localhost:8080 # default value : 8080
```![screen](screen.png)