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+package com.aliyun.odps.spark.examples.makedata_ad
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+
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+import com.alibaba.fastjson.JSON
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+import com.aliyun.odps.spark.examples.myUtils.{MyDateUtils, MyHdfsUtils, ParamUtils}
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+import examples.extractor.ExtractorUtils
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+import org.apache.hadoop.io.compress.GzipCodec
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+import org.apache.spark.sql.SparkSession
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+
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+import scala.collection.JavaConversions._
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+import scala.collection.mutable.ArrayBuffer
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+import scala.io.Source
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+/*
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+
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+ */
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+
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+object makedata_ad_33_bucketData_20240622 {
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+ def main(args: Array[String]): Unit = {
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+
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+ val spark = SparkSession
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+ .builder()
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+ .appName(this.getClass.getName)
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+ .getOrCreate()
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+ val sc = spark.sparkContext
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+
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+ val loader = getClass.getClassLoader
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+
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+ val resourceUrlBucket = loader.getResource("20240622_ad_bucket_249.txt")
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+ val buckets =
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+ if (resourceUrlBucket != null) {
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+ val buckets = Source.fromURL(resourceUrlBucket).getLines().mkString("\n")
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+ Source.fromURL(resourceUrlBucket).close()
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+ buckets
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+ } else {
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+ ""
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+ }
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+ println(buckets)
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+ val bucketsMap = buckets.split("\n")
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+ .map(r => r.replace(" ", "").replaceAll("\n", ""))
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+ .filter(r => r.nonEmpty)
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+ .map(r =>{
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+ val rList = r.split("\t")
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+ (rList(0), (rList(1).toDouble, rList(2).split(",").map(_.toDouble)))
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+ }).toMap
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+ val bucketsMap_br = sc.broadcast(bucketsMap)
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+
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+
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+ // 1 读取参数
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+ val param = ParamUtils.parseArgs(args)
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+ val readPath = param.getOrElse("readPath", "/dw/recommend/model/31_ad_sample_data/")
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+ val savePath = param.getOrElse("savePath", "/dw/recommend/model/33_ad_train_data/")
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+ val beginStr = param.getOrElse("beginStr", "20240620")
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+ val endStr = param.getOrElse("endStr", "20240620")
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+ val repartition = param.getOrElse("repartition", "200").toInt
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+
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+ val dateRange = MyDateUtils.getDateRange(beginStr, endStr)
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+ for (date <- dateRange) {
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+ println("开始执行:" + date)
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+ val data = sc.textFile(readPath + "/" + date + "*").map(r=>{
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+ val rList = r.split("\t")
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+ val logKey = rList(0)
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+ val labelKey = rList(1)
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+ val jsons = JSON.parseObject(rList(2))
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+ val features = scala.collection.mutable.Map[String, Double]()
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+ jsons.foreach(r => {
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+ features.put(r._1, jsons.getDoubleValue(r._1))
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+ })
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+ (logKey, labelKey, features)
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+ })
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+ .filter{
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+ case (logKey, labelKey, features) =>
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+ val logKeyList = logKey.split(",")
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+ val apptype = logKeyList(0)
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+ !Set("12").contains(apptype)
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+ }
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+ .map{
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+ case (logKey, labelKey, features) =>
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+ val label = JSON.parseObject(labelKey).getOrDefault("ad_is_conversion", "0").toString
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+ (label, features)
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+ }
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+ .mapPartitions(row => {
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+ val result = new ArrayBuffer[String]()
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+ val bucketsMap = bucketsMap_br.value
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+ row.foreach{
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+ case (label, features) =>
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+ val featuresBucket = features.map{
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+ case (name, score) =>
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+ if (score > 1E-8) {
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+ if (bucketsMap.contains(name)){
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+ val (_, buckets) = bucketsMap(name)
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+ val scoreNew = 1.0 / (buckets.length + 1) * (ExtractorUtils.findInsertPosition(buckets, score).toDouble + 1.0)
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+ name + ":" + scoreNew.toString
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+ }else{
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+ name + ":" + score.toString
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+ }
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+ } else {
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+ ""
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+ }
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+ }.filter(_.nonEmpty)
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+ result.add(label + "\t" + featuresBucket.mkString("\t"))
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+ }
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+ result.iterator
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+ })
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+
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+ // 4 保存数据到hdfs
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+ val hdfsPath = savePath + "/" + date
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+ if (hdfsPath.nonEmpty && hdfsPath.startsWith("/dw/recommend/model/")) {
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+ println("删除路径并开始数据写入:" + hdfsPath)
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+ MyHdfsUtils.delete_hdfs_path(hdfsPath)
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+ data.repartition(repartition).saveAsTextFile(hdfsPath, classOf[GzipCodec])
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+ } else {
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+ println("路径不合法，无法写入:" + hdfsPath)
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+ }
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+ }
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+
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+
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+
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+ }
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+}
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zhangbo