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articles/hdinsight/spark/apache-spark-perf.md

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# Optimize Apache Spark jobs in HDInsight
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This article provides an overview of strategies to optimize Apache Spark jobs on Azure HDInsight.
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## Overview
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The performance of your Apache Spark jobs depends on multiple factors. These performance factors include: how your data is stored, how the cluster is configured, and the operations that are used when processing the data.
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Common challenges you might face include memory constraints due to improperly sized executors, long-running operations, and tasks that result in Cartesian operations.

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