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package mobvista.dmp.datasource.taobao
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.SparkSession
class YoukuLaXinPollingDataDeduplication extends CommonSparkJob with Serializable {
override protected def buildOptions(): Options = {
val options = new Options
options.addOption("dt_today", true, "[must] dt_today")
options.addOption("dt_begin_days", true, "[must] dt_begin_days")
options.addOption("AcquisitionOutput", true, "[must] AcquisitionOutput")
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 dt_today = commandLine.getOptionValue("dt_today")
val dt_begin_days = commandLine.getOptionValue("dt_begin_days")
val AcquisitionOutput = commandLine.getOptionValue("AcquisitionOutput")
val spark = SparkSession.builder()
.appName("YoukuLaXinPollingDataDeduplication")
.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(AcquisitionOutput), true)
import spark.implicits._
try {
val sql1=
s"""
|select XX.device_id,XX.device_type,XX.platform,XX.package_name,XX.update_date
|FROM (select X.device_id,X.device_type,X.platform,X.package_name,X.update_date,
|rank() over(partition by X.device_id order by X.update_date desc) rk
|from ( select device_id,device_type,platform,package_name,update_date
| from dwh.youku_laxin_tmp_daily_to_s3
| where business="youku_acquisition" and dt<='${dt_today}' and dt>='${dt_begin_days}'
| ) X ) XX
| WHERE XX.rk= 1
""".stripMargin
spark.sql(sql1).repartition(500).rdd.map(_.mkString("\t")).coalesce(100).saveAsTextFile(AcquisitionOutput)
} finally {
spark.stop()
}
0
}
}
object YoukuLaXinPollingDataDeduplication {
def main(args: Array[String]): Unit = {
new YoukuLaXinPollingDataDeduplication().run(args)
}
}