ThirdPartySourceDaily.scala

package mobvista.dmp.datasource.behavior

import java.net.URI

import mobvista.dmp.common.CommonSparkJob
import org.apache.commons.cli.Options
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.spark.sql.{SaveMode, SparkSession}


class ThirdPartySourceDaily extends CommonSparkJob {

  override protected def buildOptions(): Options = {
    val options = new Options
    options.addOption("outputtotal", true, "[must] outputtotal")
    options.addOption("coalesce", true, "[must] coalesce")
    options.addOption("today", true, "[must] today")
    options.addOption("yesbef3", true, "[must] yesbef3")
    options
  }

  override protected def run(args: Array[String]): Int = {
    val commandLine = commParser.parse(options, args)
    if (!checkMustOption(commandLine)) {
      printUsage(options)
      return -1
    } else printOptions(commandLine)

    val outputtotal = commandLine.getOptionValue("outputtotal")
    val coalesce = commandLine.getOptionValue("coalesce")
    val today = commandLine.getOptionValue("today")
    val yesbef3 = commandLine.getOptionValue("yesbef3")


    val spark = SparkSession.builder()
      .appName("BehaviorThirdPartySourceDaily")
      .config("spark.rdd.compress", "true")
      .config("spark.io.compression.codec", "snappy")
      .config("spark.sql.orc.filterPushdown", "true")
      .config("spark.sql.warehouse.dir", "s3://mob-emr-test/spark-warehouse")
      .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
      .enableHiveSupport()
      .getOrCreate()

    FileSystem.get(new URI(s"s3://mob-emr-test"), spark.sparkContext.hadoopConfiguration).delete(new Path(outputtotal), true)

    try {

      val sql1 =
        s"""
           | select COALESCE(daily.device_id,total.device_id) device_id,
           |  COALESCE(daily.country,total.country) country,
           |  COALESCE(daily.device_type,total.device_type) device_type,
           |  COALESCE(daily.platform,total.platform) platform,
           |  COALESCE(daily.tag_name,total.tag_name) tag_name,
           |  COALESCE(daily.tag_value,total.tag_value) tag_value,
           |  COALESCE(daily.package_name,total.package_name) package_name,
           |  COALESCE(daily.event_day,total.event_day) event_day
           |  from (select device_id,max(country) country,device_type,case when device_type='idfa' then 'ios' else  'android' end as platform,max(behavior) tag_name,1 tag_value ,max(package_name) package_name ,max(behavior_time) event_day from dwh.etl_behavior_thirdparty_data_daily where dt = '${today}'
           |  group by device_id,device_type ) daily
           |  full join
           |  (select device_id,max(country) country,device_type,case when device_type='idfa' then 'ios' else  'android' end as platform,   max(tag_name) tag_name,max(tag_value) tag_value ,max(package_name) package_name ,max(event_day) event_day from dwh.etl_behavior_thirdparty_data_total where dt = '${yesbef3}'
           |  group by device_id,device_type ) total
           |  on (daily.device_id = total.device_id and daily.device_type = total.device_type)
        """.stripMargin

      spark.sql(sql1).coalesce(coalesce.toInt)
        .write
        .mode(SaveMode.Overwrite)
        .option("orc.compress", "zlib")
        .orc(outputtotal)

    } finally {
      spark.stop()
    }
    0
  }
}

object ThirdPartySourceDaily {
  def main(args: Array[String]): Unit = {
    new ThirdPartySourceDaily().run(args)
  }
}