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Merge pull request #177696 from whhender/remove-ch9-links
Removing channel9 references that will soon be obsolete
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articles/hdinsight/hdinsight-hadoop-r-scaler-sparkr.md

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Although both packages run on Apache Hadoop's Spark execution engine, they're blocked from in-memory data sharing as they each require their own respective Spark sessions. Until this issue is addressed in an upcoming version of ML Server, the workaround is to maintain non-overlapping Spark sessions, and to exchange data through intermediate files. The instructions here show that these requirements are straightforward to achieve.
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This example was initially shared in a talk at Strata 2016 by Mario Inchiosa and Roni Burd. You can find this talk at [Building a Scalable Data Science Platform with R](https://channel9.msdn.com/blogs/Cloud-and-Enterprise-Premium/Building-A-Scalable-Data-Science-Platform-with-R-and-Hadoop).
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The code was originally written for ML Server running on Spark in an HDInsight cluster on Azure. But the concept of mixing the use of SparkR and ScaleR in one script is also valid in the context of on-premises environments.
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The steps in this document assume that you have an intermediate level of knowledge of R and R the [ScaleR](/machine-learning-server/r/concept-what-is-revoscaler) library of ML Server. You're introduced to [SparkR](https://spark.apache.org/docs/2.1.0/sparkr.html) while walking through this scenario.

articles/hdinsight/spark/apache-spark-intellij-tool-debug-remotely-through-ssh.md

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# Debug Apache Spark applications on an HDInsight cluster with Azure Toolkit for IntelliJ through SSH
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This article provides step-by-step guidance on how to use HDInsight Tools in [Azure Toolkit for IntelliJ](/azure/developer/java/toolkit-for-intellij) to debug applications remotely on an HDInsight cluster. To debug your project, you can also view the [Debug HDInsight Spark applications with Azure Toolkit for IntelliJ](https://channel9.msdn.com/Series/AzureDataLake/Debug-HDInsight-Spark-Applications-with-Azure-Toolkit-for-IntelliJ) video.
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This article provides step-by-step guidance on how to use HDInsight Tools in [Azure Toolkit for IntelliJ](/azure/developer/java/toolkit-for-intellij) to debug applications remotely on an HDInsight cluster.
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## Prerequisites
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* [Overview: Apache Spark on Azure HDInsight](apache-spark-overview.md)
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### Demo
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* Create Scala project (video): [Create Apache Spark Scala Applications](https://channel9.msdn.com/Series/AzureDataLake/Create-Spark-Applications-with-the-Azure-Toolkit-for-IntelliJ)
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* Remote debug (video): [Use Azure Toolkit for IntelliJ to debug Apache Spark applications remotely on an HDInsight cluster](https://channel9.msdn.com/Series/AzureDataLake/Debug-HDInsight-Spark-Applications-with-Azure-Toolkit-for-IntelliJ)
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### Scenarios
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* [Apache Spark with BI: Perform interactive data analysis by using Spark in HDInsight with BI tools](apache-spark-use-bi-tools.md)

articles/hdinsight/spark/apache-spark-intellij-tool-failure-debug.md

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* [Overview: Debug Apache Spark applications](apache-spark-intellij-tool-debug-remotely-through-ssh.md)
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### Demo
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* Create Scala project (video): [Create Apache Spark Scala Applications](https://channel9.msdn.com/Series/AzureDataLake/Create-Spark-Applications-with-the-Azure-Toolkit-for-IntelliJ)
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* Remote debug (video): [Use Azure Toolkit for IntelliJ to debug Apache Spark applications remotely on an HDInsight cluster](https://channel9.msdn.com/Series/AzureDataLake/Debug-HDInsight-Spark-Applications-with-Azure-Toolkit-for-IntelliJ)
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### Scenarios
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* [Apache Spark with BI: Do interactive data analysis by using Spark in HDInsight with BI tools](apache-spark-use-bi-tools.md)

articles/hdinsight/spark/apache-spark-intellij-tool-plugin-debug-jobs-remotely.md

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* [Overview: Apache Spark on Azure HDInsight](apache-spark-overview.md)
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### Demo
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* Create Scala project (video): [Create Apache Spark Scala Applications](https://channel9.msdn.com/Series/AzureDataLake/Create-Spark-Applications-with-the-Azure-Toolkit-for-IntelliJ)
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* Remote debug (video): [Use Azure Toolkit for IntelliJ to debug Apache Spark applications remotely on an HDInsight cluster](https://channel9.msdn.com/Series/AzureDataLake/Debug-HDInsight-Spark-Applications-with-Azure-Toolkit-for-IntelliJ)
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### Scenarios
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* [Apache Spark with BI: Perform interactive data analysis by using Spark in HDInsight with BI tools](apache-spark-use-bi-tools.md)

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