git clone https://github.com/huy-dataguy/Spark-on-YARN.git
  cd Spark-on-YARN

⏳ Note: The first build may take a few minutes as no cached layers exist.

  docker build -t base -f docker/base.dockerfile .

• build image (build in the first time or after make changes in dockerfile)

  docker compose -f docker/compose.yaml build

• run container

  docker compose -f docker/compose.yaml up -d

• Go inside master container's CLI

💡 Start the HDFS - YARN services:

  start-dfs.sh
  start-yarn.sh

Create folder store spark logs

  hdfs dfs -mkdir /spark-logs

Run spark on yarn

  spark-submit \
  --class org.apache.spark.examples.SparkPi \
  $SPARK_HOME/examples/jars/spark-examples_*.jar 10

If success you will see answear Pi = 3,14159

You can access the following web interfaces to monitor and manage your Hadoop cluster:

• YARN Resource Manager UI → http://localhost:9004
  Provides an overview of cluster resource usage, running applications, and job details.

• NameNode UI → http://localhost:9870
  Displays HDFS file system details, block distribution, and overall health status.

• Spark Web UI → http://localhost:4040 Provides an interface to monitor running Spark jobs, stages, and tasks. Note: Because you are using YARN client mode, the Spark UI will automatically redirect to the master node's web UI.

📧 Email: quochuy.working@gmail.com

💬 Feel free to contribute and improve this project! 🚀