Created on 12-10-202310:05 PM - edited on 12-11-202312:22 AM by VidyaSargur
This article delves into the practical aspects of integrating Spark and HBase using Livy, showcasing a comprehensive example that demonstrates the process of reading, processing, and writing data between Spark and HBase. The example utilizes Livy to submit Spark jobs to a YARN cluster, enabling remote execution of Spark applications on HBase data.
Apache Spark installed and configured
Apache Livy installed and configured
Apache HBase installed and configured
HBase Spark Connector jar file available
This step-by-step guide provides a comprehensive overview of how to integrate Spark and HBase using Livy.
Step 1: Create an HBase Table
Note: If your cluster is kerberized, then you need to provide the proper Ranger HBase permissions to the user and needs to the kinit.
Connect to your HBase cluster using the HBase shell:
Create an HBase table namedemployeeswith two column families:perandprof:
create 'employees', 'per', 'prof'
Exit the HBase Shell:
Step 2: Create pyspark code.
Create a Python file (e.g.,hbase_spark_connector_app.py) and add the following code: