• spark SQL学习(案例-统计每日销售)


    需求:统计每日销售额

    
    package wujiadong_sparkSQL
    
    
    import org.apache.spark.sql.types._
    import org.apache.spark.sql.{Row, SQLContext}
    import org.apache.spark.{SparkConf, SparkContext}
    import org.apache.spark.sql.functions._
    
    /**
      * Created by Administrator on 2017/3/6.
      */
    object DailySale {
      def main(args: Array[String]): Unit = {
        val conf = new SparkConf().setAppName("dailysale").setMaster("local")
        val sc = new SparkContext(conf)
        val sqlContext = new SQLContext(sc)
        import sqlContext.implicits._
        //模拟数据
        val userSalelog = Array(
          "2017-02-01,55,1122",
          "2017-02-01,23,1133",
          "2017-02-01,15,",
          "2017-02-02,56,1155",
          "2017-02-01,78,1123",
          "2017-02-01,113,1144"
        )
    
        val userSalelogRDD = sc.parallelize(userSalelog,2)
        val filteredUserRDD = userSalelogRDD.filter(log => if(log.split(",").length == 3) true else false)
        val RowRDD = filteredUserRDD.map(log => Row(log.split(",")(0),log.split(",")(1).toInt,log.split(",")(2).toInt))
        val schema = StructType(
          Array(
            StructField("date",StringType,true),
            StructField("sale_amount",IntegerType,true),
            StructField("userid",IntegerType,true)
          )
        )
    
        val df = sqlContext.createDataFrame(RowRDD,schema)
    
        df.groupBy("date")
          .agg('date,sum('sale_amount))
          .map(row => Row(Row(row(0),row(2))))
          .collect()
          .foreach(println)
    
    
      }
    
    }
    
    
    

    运行结果

    
    hadoop@master:~/wujiadong$ spark-submit --class wujiadong_sparkSQL.DailySale  --executor-memory 500m --total-executor-cores 2 /home/hadoop/wujiadong/wujiadong.spark.jar
    17/03/06 20:55:20 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
    17/03/06 20:55:21 WARN SparkConf: 
    SPARK_CLASSPATH was detected (set to ':/home/hadoop/bigdata/hive/lib/mysql-connector-java-5.1.26-bin.jar').
    This is deprecated in Spark 1.0+.
    
    Please instead use:
     - ./spark-submit with --driver-class-path to augment the driver classpath
     - spark.executor.extraClassPath to augment the executor classpath
            
    17/03/06 20:55:21 WARN SparkConf: Setting 'spark.executor.extraClassPath' to ':/home/hadoop/bigdata/hive/lib/mysql-connector-java-5.1.26-bin.jar' as a work-around.
    17/03/06 20:55:21 WARN SparkConf: Setting 'spark.driver.extraClassPath' to ':/home/hadoop/bigdata/hive/lib/mysql-connector-java-5.1.26-bin.jar' as a work-around.
    17/03/06 20:55:23 INFO Slf4jLogger: Slf4jLogger started
    17/03/06 20:55:23 INFO Remoting: Starting remoting
    17/03/06 20:55:24 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.1.131:58765]
    17/03/06 20:55:25 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
    17/03/06 20:55:26 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
    [[2017-02-01,269]]                                                              
    [[2017-02-02,56]]
    17/03/06 20:55:51 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
    17/03/06 20:55:51 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
    
    
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  • 原文地址:https://www.cnblogs.com/wujiadong2014/p/6516618.html
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