spark-submit 提交Application

 在spark1.0中推出spark-submit来统一提交applicaiton

./bin/spark-submit \
  --class <main-class>
  --master <master-url> \
  --deploy-mode <deploy-mode> \
  ... # other options
  <application-jar> \
  [application-arguments]

 

–class:application的入口点;

–master:集群的master url;

–deploy-mode:driver在集群中的部署模式;

application-jar:application代码的jar包, 可以放在HDFS上,也可以放在本地文件系统上;

 

standalone模式案例:

spark-submit \
--name SparkSubmit_Demo \
--class com.luogankun.spark.WordCount \
--master spark://hadoop000:7077 \
--executor-memory 1G \
--total-executor-cores 1 \
/home/spark/data/spark.jar \
hdfs://hadoop000:8020/hello.txt

 

需要在master中设置spark集群的master地址;

 

yarn-client模式案例:

spark-submit \
--name SparkSubmit_Demo \
--class com.luogankun.spark.WordCount \
--master yarn-client \
--executor-memory 1G \
--total-executor-cores 1 \
/home/spark/data/spark.jar \
hdfs://hadoop000:8020/hello.txt

 

yarn-cluster模式案例:

spark-submit \
--name SparkSubmit_Demo \
--class com.luogankun.spark.WordCount \
--master yarn-cluster \
--executor-memory 1G \
--total-executor-cores 1 \
/home/spark/data/spark.jar \
hdfs://hadoop000:8020/hello.txt

 

注:提交yarn上执行需要配置HADOOP_CONF_DIR

 

yarn-client和yarn-cluser的区别:以Driver的位置来区分

yarn-client:

  Client和Driver运行在一起,ApplicationMaster只用来获取资源;结果实时输出在客户端控制台上,可以方便的看到日志信息,推荐使用该模式;

  提交到yarn后,yarn先启动ApplicationMaster和Executor,两者都是运行在Container中。注意:一个container中只运行一个executorbackend;

yarn-cluser:

  Driver和ApplicationMaster运行在一起,所以运行结果不能在客户端控制台显示,需要将结果需要存放在HDFS或者写到数据库中;

  driver在集群上运行,可通过ui界面访问driver的状态。

 

 

 

 

 

 

 

 

 

 

    原文作者:spark
    原文地址: https://www.cnblogs.com/luogankun/p/3836211.html
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