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Apache Spark is a fast engine for large-scale data processing. As of the Spark 2.3.0 release, Apache Spark supports native integration with Kubernetes clusters.Azure Kubernetes Service (AKS) is a managed Kubernetes environment running in Azure. This document details preparing and running Apache Spark jobs on an Azure Kubernetes Service (AKS) cluster. Python Spark Shell can be started through command line. To start pyspark, open a terminal window and run the following command: ~$ pyspark. For the word-count example, we shall start with option –master local[4] meaning the spark context of this spark shell acts as a master on local node with 4 threads.

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Attempting port 4041.::::: 2016-07-23 spark.ui.port: 4040: Port for your application's dashboard, which shows memory and workload data. 0.7.0: spark.ui.retainedJobs: 1000: How many jobs the Spark UI and status APIs remember before garbage collecting. This is a target maximum, and fewer elements may be retained in some circumstances.

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spark.ui.killEnabled. true. The flag to control whether you can kill stages in web UI (true) or not (false). When the app is running, the Spark UI is served by the Spark driver directly on port 4040. To access it, you should port-forward by running the following command: $ kubectl port-forward 4040:4040.

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