Pyspark-hadoop-hive-docker

Two steps to create a pyspark hadoop cluster using docker.

1. Build the image
2. Run docker compose command to start the cluster.

Base image used are as below:

• tensorflow/tensorflow:2.12.0-gpu-jupyter
• jupyter/minimal-notebook:python-3.8
• postgres:11

Software

• Hadoop 3.3.4

• Hive 3.1.3

• Spark 3.3.1

Quick Start

To deploy the cluster, run:

make
docker-compose up

Access interfaces with the following URL

Hadoop

ResourceManager: http://localhost:8088

NameNode: http://localhost:9870

HistoryServer: http://localhost:19888

Datanode1: http://localhost:9864 Datanode2: http://localhost:9865

NodeManager1: http://localhost:8042 NodeManager2: http://localhost:8043

Spark

master: http://localhost:8080

worker1: http://localhost:8081 worker2: http://localhost:8082

history: http://localhost:18080

Hive

URI: jdbc:hive2://localhost:10000

Jupyter Notebook

URL: http://localhost:8888

Source of these code is from below github repository, below code did not worked for me and I need to make quite changes to make it work. https://github.com/myamafuj/hadoop-hive-spark-docker