Structured Streaming in Spark 3.0 using Kafka

Using Docker, Spark 3.0, Kafka and Python

Working within Spark’s interactive shell environment, launching applications. Using Docker, Spark 3.0, Kafka and Python.

python spark docker kafka streaming

After the previous post wherein we explored Apache Kafka, let us now take a look at Apache Spark. This blog post covers working within Spark’s interactive shell environment, launching applications (including onto a standalone cluster), streaming data and lastly, structured streaming using Kafka. To get started right away, all of the examples will run inside Docker containers.

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Spark Structured Streaming – Stateful Streaming. Welcome back folks to this blog series of Spark Structured Streaming. This blog is the continuation of the earlier blog "Internals of Structured Streaming".

How to install Kafka using Docker and produce/consume messages in Python. Apache Kafka is a stream-processing software platform originally developed by LinkedIn, open sourced in early 2011 and currently developed by the Apache Software Foundation. It is written in Scala and Java.

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