Spark之Yarn提交模式

一.Client模式

  提交命令:

  ./spark-submit --master yarn --class org.apache.examples.SparkPi ../lib/spark-examples-1.6.0-hadoop2.7.3.jar 1000

  ./spark-submit --master yarn-client --class org.apache.examples.SparkPi ../lib/spark-examples-1.6.0-hadoop2.7.3.jar 1000

  ./spark-submit --master yarn --deploy-mode client --class org.apache.examples.SparkPi ../lib/spark-examples-1.6.0-hadoop2.7.3.jar 1000

  架构:  

  

二.Cluster模式

  提交命令:

  ./spark-submit --master yarn --deploy-mode cluster --class org.apache.spark.examples.SparkPi ../lib/spark-examples-1.6.0-hadoop2.7.3.jar 1000

  ./spark-submit --master yarn-cluster --class org.apache.examples.SparkPi ../lib/spark-examples-1.6.0-hadoop2.7.3.jar 1000

  架构:

   

三.区别

  client模式会在客户端创建Driver,当任务过多时会导致网络IO激增问题,而cluster会在集群的各个节点创建Driver,均摊了网络IO,不易发生网络瓶颈。

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转载自www.cnblogs.com/yszd/p/10632293.html