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This project presents a distributable solution based on Spark Java, aiming to connect start and end session events together in a stateful manner. The project utilizes `flatMapGroupWithState`functionality which is a powerful feature for stateful stream processing in Spark. It enables you to maintain and update the state across batches.

Java 100.00%
flatmapgroupwithstate java kafka memorystream spark spark-structured-streaming state-management typesafe typesafe-config

spark_java_stateful_processing's Introduction

Hi everyone!

Github

My name is Hadi.
I love to code, create things, solve problems and take on challenges.:nerd_face:
I can develop ETLs, Analytic programs, and data pipelines perfectly in both SQL and NoSQL environments.
Thank You for taking the time to view my GitHub Profile.

What I currently do

  • 🌱 I’m currently working and growing my skillset in Spark, Scala, python and big data.
  • 👨‍🎓 Graduated in software engineering
  • 💬 Ask me about Spark, Scala, Sql, PLSQL, Python
  • ⚡ Besides coding, I also enjoy cooking and playing footbal.

Communication

Me

Skills

scala oracle Spark hive kafka docker git hadoop Impala Cloudera java jenkins linux python airflow python

spark_java_stateful_processing's People

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