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Merge pull request #231316 from sreekzz/patch-155
Removing HDInsight 3.6
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articles/hdinsight/spark/apache-troubleshoot-spark.md

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@@ -3,7 +3,7 @@ title: Troubleshoot Apache Spark in Azure HDInsight
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description: Get answers to common questions about working with Apache Spark and Azure HDInsight.
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ms.service: hdinsight
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ms.topic: troubleshooting
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ms.date: 08/22/2019
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ms.date: 03/20/2023
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ms.custom: seodec18
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---
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Spark configuration values can be tuned help avoid an Apache Spark application `OutofMemoryError` exception. The following steps show default Spark configuration values in Azure HDInsight:
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1. Log in to Ambari at `https://CLUSTERNAME.azurehdidnsight.net` with your cluster credentials. The initial screen displays an overview dashboard. There are slight cosmetic differences between HDInsight 3.6 and 4.0.
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1. Log in to Ambari at `https://CLUSTERNAME.azurehdidnsight.net` with your cluster credentials. The initial screen displays an overview dashboard. There are slight cosmetic differences between HDInsight 4.0.
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1. Navigate to **Spark2** > **Configs**.
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:::image type="content" source="./media/apache-troubleshoot-spark/apache-spark-ambari-config6c.png" alt-text="Enter a note about the changes you made" border="true":::
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You are notified if any configurations need attention. Note the items, and then select **Proceed Anyway**.
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You're notified if any configurations need attention. Note the items, and then select **Proceed Anyway**.
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:::image type="content" source="./media/apache-troubleshoot-spark/apache-spark-ambari-config6b.png" alt-text="Select Proceed Anyway" border="true":::
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1. Whenever a configuration is saved, you are prompted to restart the service. Select **Restart**.
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1. Whenever a configuration is saved, you're prompted to restart the service. Select **Restart**.
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:::image type="content" source="./media/apache-troubleshoot-spark/apache-spark-ambari-config7a.png" alt-text="Select restart" border="true":::
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@@ -89,7 +89,7 @@ Launch spark-shell by using a command similar to the following. Change the actua
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spark-submit --master yarn-cluster --class com.microsoft.spark.application --num-executors 4 --executor-memory 4g --executor-cores 2 --driver-memory 8g --driver-cores 4 /home/user/spark/sparkapplication.jar
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```
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### Additional reading
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### Extra reading
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[Apache Spark job submission on HDInsight clusters](/archive/blogs/azuredatalake/spark-job-submission-on-hdinsight-101)
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