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

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@@ -156,7 +156,7 @@ To manage parallelism for Cartesian joins, you can add nested structures, window
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## Customize cluster configuration
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Depending on your Spark cluster workload, you may determine a non-default Spark configuration would result in more optimized Spark job execution. DO benchmark testing with sample workloads to validate any non-default cluster configurations.
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Depending on your Spark cluster workload, you may determine a non-default Spark configuration would result in more optimized Spark job execution. Do benchmark testing with sample workloads to validate any non-default cluster configurations.
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Here are some common parameters you can adjust:
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