new Demand

eda/feededa/src/main/scala/com/gmei/testt.scala

 package com.gmei
 
 import java.io.Serializable
-import java.text.SimpleDateFormat
-import java.util.Calendar
 
 import com.gmei.WeafareStat.{defaultParams, parser}
 import org.apache.spark.sql.{SaveMode, TiContext}
@@ -10,30 +8,30 @@ import org.apache.log4j.{Level, Logger}
 import scopt.OptionParser
 import com.gmei.lib.AbstractParams
 
-import scala.util.parsing.json.JSON
-
 object testt {
 
   Logger.getLogger("org.apache.spark").setLevel(Level.WARN)
   Logger.getLogger("org.apache.eclipse.jetty.server").setLevel(Level.OFF)
 
-  case class Params(env: String = "dev") extends AbstractParams[Params] with Serializable
+  case class Params(env: String = "dev",
+                    date: String = "2018-08-01"
+                   ) extends AbstractParams[Params] with Serializable
 
   val defaultParams = Params()
 
   val parser = new OptionParser[Params]("Feed_EDA") {
-    head("testt")
+    head("WeafareStat")
     opt[String]("env")
       .text(s"the databases environment you used")
       .action((x, c) => c.copy(env = x))
-    //opt[String] ("date")
-     // .text(s"the date you used")
-     // .action((x,c) => c.copy(date = x))
+    opt[String] ("date")
+      .text(s"the date you used")
+      .action((x,c) => c.copy(date = x))
     note(
       """
         |For example, the following command runs this app on a tidb dataset:
         |
-        | spark-submit --class com.gmei.testt ./target/scala-2.11/feededa-assembly-0.1.jar \
+        | spark-submit --class com.gmei.WeafareStat ./target/scala-2.11/feededa-assembly-0.1.jar \
       """.stripMargin +
         s"|   --env ${defaultParams.env}"
     )
@@ -52,45 +50,43 @@ object testt {
       ti.tidbMapTable(dbName = "jerry_test", tableName = "bl_device_list")
       ti.tidbMapTable(dbName = "jerry_prod", tableName = "data_feed_exposure")
 
-      val strategies = Seq("3$","4$","5$","6$","7$","8$","c$","d$","e$","A$","B$","C$","D$")
-      for (strategy <- strategies){
-        println(strategy)
-        for(i <- 1 to 10){
-          val cal = Calendar.getInstance
-          cal.add(Calendar.DATE, -i)
-          //设置时间格式
-          val time = cal.getTime
-          //将时间格式套用在获取的时间戳上
-          val newtime: String = new SimpleDateFormat("yyyyMMdd").format(time)
-          println(newtime)
-          val get_data_dura = sc.sql(
+
+      import sc.implicits._
+      //      val stat_date = GmeiConfig.getMinusNDate(1)
+      println(param.date)
+      val partition_date = param.date.replace("-","")
+      val diary_id = sc.sql(
         s"""
-               |select partition_date,params["duration"]
-               |from online.tl_hdfs_maidian_view
-               |where action="on_app_session_over"
-               |and cl_id regexp'${strategy}'
-               |and partition_date = ${newtime}
+           |select distinct(cid_id) as diary_id
+           |from data_feed_click
          """.stripMargin
       )
-          get_data_dura.printSchema
-          get_data_dura.show(5)
-
-          val tst = get_data_dura.filter("params[duration] > 0")
-          val tst2 = tst.filter("params[duration] > 0")
+      diary_id.show()
+      diary_id.createOrReplaceTempView("diary_id")
 
+      val clk_count = sc.sql(
+          s"""
+             |select sum(params["out"]-params["in"]) as dur_time count(cl_id) as num_clk   dur_time/num_clk as avg_dur
+             |from online.tl_hdfs_maidian_view tl inner join diary_id
+             |on tl.params["business_id"] = diary_id.diary_id
+             |where action="page_view"
+             |and partition_date >='20180801' and partition_date <'20181107'
+             |group by tl.params["business_id"]  order by avg_dur desc
+         """.stripMargin
+        )
 
 
-         // println(rows(1))  这样会报错
-        }
+      val result = clk_count
+      result.show()
 
 
 
       }
 
 
-    }
 
 
     }
 
+
 }