Building a Pseudo-Distributed Hadoop Cluster with HBase, HDFS, YARN and embedded Zookeeper using Docker: A Step-by-Step Guide
In a recent project, I had to set up a pseudo-distributed Hadoop cluster with HBase, HDFS, YARN and embedded Zookeeper using Docker. This guide aims to simplify the process of setting such a cluster, providing clear instructions and practical insights.
Within the repository, you'll discover not only the setup of the Hadoop ecosystem but also it's integration with a Java service, named hbase-client, which uses both the HBase and the MapReduce Java APIs to interact with the Hadoop Cluster. Additionally, search through the backend folder to explore a Python service, which uses Happybase, enabling indirect interaction with HBase via Thrift.
In the course of this project, I encountered the challenge of lacking an official Docker image for HBase. Over a day was dedicated to crafting a custom Dockerfile, ensuring the seamless