incubator-livy VS Apache Spark

Apache Livy - REST API For submitting jobs to a cluster. Used in conjunction with Jupyter or Zeppelin notebooks and you have a multi-tenant SQL only workload — https://livy.apache.org

There’s definitely some patching that still has to happen depending on the version (just found this Spark 3.2 PR), but I presume many folks that actively use it have to maintain their own forks. Latest version of EMR is Spark 3.1.2, but 3.2 is coming soon.

Apache Livy - an open-source REST API for interacting with Apache Spark from anywhere.

Spark 3 has some solid support for Kubernetes. Livy is a good addition to Spark on K8S, although support is not merged upstream yet (there's publicly available images and other in the PR). I'd strongly recommend to avoid running HDFS on top of Kubernetes. Either cloud-native buckets or on-premise bucket storage like Minio would be much better suited.

Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.

Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system

also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.

Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features.

Apache Spark - https://spark.apache.org/

A JVM based framework named "Spark", when https://spark.apache.org exists?

I recently saw a pull request that was merged to the Apache/Spark repository that apparently adds initial Python bindings for PySpark on K8s. I posted a comment to the PR asking a question about how to use spark-on-k8s in a Python Jupyter notebook, and was told to ask my question here.