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src/main/scala/com/aliyun/odps/spark/examples/makedata/makedata_17_bucketDataPrint_20240617.scala

@@ -75,199 +75,200 @@ object makedata_17_bucketDataPrint_20240617 {
     // 2 读取odps+表信息
     val odpsOps = env.getODPS(sc)
 
-//    // 3 循环执行数据生产
-//    val timeRange = MyDateUtils.getDateHourRange(beginStr, endStr)
-//    for (dt_hh <- timeRange) {
-//      val dt = dt_hh.substring(0, 8)
-//      val hh = dt_hh.substring(8, 10)
-//      val partition = s"dt=$dt,hh=$hh"
-//      println("开始执行partiton:" + partition)
-//      val odpsData = odpsOps.readTable(project = project,
-//        table = table,
-//        partition = partition,
-//        transfer = func,
-//        numPartition = tablePart)
-//        .map(record => {
-//          val featureMap = new JSONObject()
-//
-//          // a 视频特征
-//          val b1: JSONObject = if (record.isNull("b1_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b1_feature"))
-//          val b2: JSONObject = if (record.isNull("b2_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b2_feature"))
-//          val b3: JSONObject = if (record.isNull("b3_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b3_feature"))
-//          val b6: JSONObject = if (record.isNull("b6_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b6_feature"))
-//          val b7: JSONObject = if (record.isNull("b7_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b7_feature"))
-//
-//          val b8: JSONObject = if (record.isNull("b8_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b8_feature"))
-//          val b9: JSONObject = if (record.isNull("b9_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b9_feature"))
-//          val b10: JSONObject = if (record.isNull("b10_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b10_feature"))
-//          val b11: JSONObject = if (record.isNull("b11_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b11_feature"))
-//          val b12: JSONObject = if (record.isNull("b12_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b12_feature"))
-//          val b13: JSONObject = if (record.isNull("b13_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b13_feature"))
-//          val b17: JSONObject = if (record.isNull("b17_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b17_feature"))
-//          val b18: JSONObject = if (record.isNull("b18_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b18_feature"))
-//          val b19: JSONObject = if (record.isNull("b19_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("b19_feature"))
-//
-//
-//          val origin_data = List(
-//            (b1, b2, b3, "b123"), (b1, b6, b7, "b167"),
-//            (b8, b9, b10, "b8910"), (b11, b12, b13, "b111213"),
-//            (b17, b18, b19, "b171819")
-//          )
-//          for ((b_1, b_2, b_3, prefix1) <- origin_data) {
-//            for (prefix2 <- List(
-//              "1h", "2h", "3h", "4h", "12h", "1d", "3d", "7d"
-//            )) {
-//              val exp = if (b_1.isEmpty) 0D else b_1.getIntValue("exp_pv_" + prefix2).toDouble
-//              val share = if (b_2.isEmpty) 0D else b_2.getIntValue("share_pv_" + prefix2).toDouble
-//              val returns = if (b_3.isEmpty) 0D else b_3.getIntValue("return_uv_" + prefix2).toDouble
-//              val f1 = RankExtractorFeature_20240530.calDiv(share, exp)
-//              val f2 = RankExtractorFeature_20240530.calLog(share)
-//              val f3 = RankExtractorFeature_20240530.calDiv(returns, exp)
-//              val f4 = RankExtractorFeature_20240530.calLog(returns)
-//              val f5 = f3 * f4
-//              featureMap.put(prefix1 + "_" + prefix2 + "_" + "STR", f1)
-//              featureMap.put(prefix1 + "_" + prefix2 + "_" + "log(share)", f2)
-//              featureMap.put(prefix1 + "_" + prefix2 + "_" + "ROV", f3)
-//              featureMap.put(prefix1 + "_" + prefix2 + "_" + "log(return)", f4)
-//              featureMap.put(prefix1 + "_" + prefix2 + "_" + "ROV*log(return)", f5)
-//            }
-//          }
-//
-//          val video_info: JSONObject = if (record.isNull("t_v_info_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("t_v_info_feature"))
-//          featureMap.put("total_time", if (video_info.containsKey("total_time")) video_info.getIntValue("total_time").toDouble else 0D)
-//          featureMap.put("bit_rate", if (video_info.containsKey("bit_rate")) video_info.getIntValue("bit_rate").toDouble else 0D)
-//
-//          val c1: JSONObject = if (record.isNull("c1_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("c1_feature"))
-//          if (c1.nonEmpty) {
-//            featureMap.put("playcnt_6h", if (c1.containsKey("playcnt_6h")) c1.getIntValue("playcnt_6h").toDouble else 0D)
-//            featureMap.put("playcnt_1d", if (c1.containsKey("playcnt_1d")) c1.getIntValue("playcnt_1d").toDouble else 0D)
-//            featureMap.put("playcnt_3d", if (c1.containsKey("playcnt_3d")) c1.getIntValue("playcnt_3d").toDouble else 0D)
-//            featureMap.put("playcnt_7d", if (c1.containsKey("playcnt_7d")) c1.getIntValue("playcnt_7d").toDouble else 0D)
-//          }
-//          val c2: JSONObject = if (record.isNull("c2_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("c2_feature"))
-//          if (c2.nonEmpty) {
-//            featureMap.put("share_pv_12h", if (c2.containsKey("share_pv_12h")) c2.getIntValue("share_pv_12h").toDouble else 0D)
-//            featureMap.put("share_pv_1d", if (c2.containsKey("share_pv_1d")) c2.getIntValue("share_pv_1d").toDouble else 0D)
-//            featureMap.put("share_pv_3d", if (c2.containsKey("share_pv_3d")) c2.getIntValue("share_pv_3d").toDouble else 0D)
-//            featureMap.put("share_pv_7d", if (c2.containsKey("share_pv_7d")) c2.getIntValue("share_pv_7d").toDouble else 0D)
-//            featureMap.put("return_uv_12h", if (c2.containsKey("return_uv_12h")) c2.getIntValue("return_uv_12h").toDouble else 0D)
-//            featureMap.put("return_uv_1d", if (c2.containsKey("return_uv_1d")) c2.getIntValue("return_uv_1d").toDouble else 0D)
-//            featureMap.put("return_uv_3d", if (c2.containsKey("return_uv_3d")) c2.getIntValue("return_uv_3d").toDouble else 0D)
-//            featureMap.put("return_uv_7d", if (c2.containsKey("return_uv_7d")) c2.getIntValue("return_uv_7d").toDouble else 0D)
-//          }
-//
-//          val title = if (video_info.containsKey("title")) video_info.getString("title") else ""
-//          if (!title.equals("")) {
-//            for (key_feature <- List("c3_feature", "c4_feature", "c5_feature", "c6_feature", "c7_feature")) {
-//              val c34567: JSONObject = if (record.isNull(key_feature)) new JSONObject() else
-//                JSON.parseObject(record.getString(key_feature))
-//              for (key_time <- List("tags_1d", "tags_3d", "tags_7d")) {
-//                val tags = if (c34567.containsKey(key_time)) c34567.getString(key_time) else ""
-//                if (!tags.equals("")) {
-//                  val (f1, f2, f3, f4) = funcC34567ForTags(tags, title)
-//                  featureMap.put(key_feature + "_" + key_time + "_matchnum", f1)
-//                  featureMap.put(key_feature + "_" + key_time + "_maxscore", f3)
-//                  featureMap.put(key_feature + "_" + key_time + "_avgscore", f4)
-//                }
-//              }
-//            }
-//          }
-//
-//          val vid = if (record.isNull("vid")) "" else record.getString("vid")
-//          if (!vid.equals("")) {
-//            for (key_feature <- List("c8_feature", "c9_feature")) {
-//              val c89: JSONObject = if (record.isNull(key_feature)) new JSONObject() else
-//                JSON.parseObject(record.getString(key_feature))
-//              for (key_action <- List("share", "return")) {
-//                val cfListStr = if (c89.containsKey(key_action)) c89.getString(key_action) else ""
-//                if (!cfListStr.equals("")) {
-//                  val cfMap = cfListStr.split(",").map(r => {
-//                    val rList = r.split(":")
-//                    (rList(0), (rList(1), rList(2), rList(3)))
-//                  }).toMap
-//                  if (cfMap.contains(vid)) {
-//                    val (score, num, rank) = cfMap(vid)
-//                    featureMap.put(key_feature + "_" + key_action + "_score", score.toDouble)
-//                    featureMap.put(key_feature + "_" + key_action + "_num", num.toDouble)
-//                    featureMap.put(key_feature + "_" + key_action + "_rank", 1.0 / rank.toDouble)
-//                  }
-//                }
-//              }
-//            }
-//          }
-//
-//          val d1: JSONObject = if (record.isNull("d1_feature")) new JSONObject() else
-//            JSON.parseObject(record.getString("d1_feature"))
-//          if (d1.nonEmpty) {
-//            featureMap.put("d1_exp", if (d1.containsKey("exp")) d1.getString("exp").toDouble else 0D)
-//            featureMap.put("d1_return_n", if (d1.containsKey("return_n")) d1.getString("return_n").toDouble else 0D)
-//            featureMap.put("d1_rovn", if (d1.containsKey("rovn")) d1.getString("rovn").toDouble else 0D)
-//          }
-//
-//
-//
-//          val allfeaturemap = if (record.isNull("allfeaturemap")) new JSONObject() else
-//            JSON.parseObject(record.getString("allfeaturemap"))
-////          val featuresStr = allfeaturemap.toMap.map(r=> r._1 + ":" + r._2.toString).toSeq
-//          val apptype = record.getString("apptype")
-//          val pagesource = record.getString("pagesource")
-//          val abcode = record.getString("abcode")
-//          val level = if (record.isNull("level")) "0" else record.getString("level")
-//          val label = record.getString("is_return")
-//          (apptype, pagesource, level, label, abcode, allfeaturemap, featureMap)
-//        }).filter{
-//          case (apptype, pagesource, level, label, abcode, allfeaturemap, featureMap) =>
-//            apptype.equals("3") && pagesource.endsWith("recommend") &&
-//            Set("ab0", "ab1", "ab2", "ab3").contains(abcode) && level.equals("0")
-//        }.mapPartitions(row => {
-//          val result = new ArrayBuffer[String]()
-//          val bucketsMap = bucketsMap_br.value
-//          row.foreach {
-//            case (apptype, pagesource, level, label, abcode, allfeaturemap, featureMap) =>
-//              val offlineFeatrueMap = featureMap.filter(r => bucketsMap.containsKey(r._1)).map(r =>{
-//                val score = r._2.toString.toDouble
-//                if (score > 1E-8) {
-//                  val (bucketNum, buckets) = bucketsMap(r._1)
-//                  val scoreNew = 1.0 / bucketNum * (ExtractorUtils.findInsertPosition(buckets, score).toDouble + 1.0)
-//                  r._1 + ":" + scoreNew.toString
-//                } else {
-//                  ""
-//                }
-//              }).filter(_.nonEmpty)
-//              result.add((apptype, pagesource, level, label, abcode, allfeaturemap.toString, offlineFeatrueMap.iterator.mkString(","))
-//              .productIterator.mkString("\t"))
-//          }
-//          result.iterator
-//        })
-//
-//      // 4 保存数据到hdfs
-//      val savePartition = dt + hh
-//      val hdfsPath = savePath + "/" + savePartition
-//      if (hdfsPath.nonEmpty && hdfsPath.startsWith("/dw/recommend/model/")){
-//        println("删除路径并开始数据写入:" + hdfsPath)
-//        MyHdfsUtils.delete_hdfs_path(hdfsPath)
-//        odpsData.coalesce(repartition).saveAsTextFile(hdfsPath, classOf[GzipCodec])
-//      }else{
-//        println("路径不合法，无法写入:" + hdfsPath)
-//      }
-//    }
+    // 3 循环执行数据生产
+    val timeRange = MyDateUtils.getDateHourRange(beginStr, endStr)
+    for (dt_hh <- timeRange) {
+      val dt = dt_hh.substring(0, 8)
+      val hh = dt_hh.substring(8, 10)
+      val partition = s"dt=$dt,hh=$hh"
+      println("开始执行partiton:" + partition)
+      val odpsData = odpsOps.readTable(project = project,
+        table = table,
+        partition = partition,
+        transfer = func,
+        numPartition = tablePart)
+        .map(record => {
+          val featureMap = new JSONObject()
+
+          // a 视频特征
+          val b1: JSONObject = if (record.isNull("b1_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b1_feature"))
+          val b2: JSONObject = if (record.isNull("b2_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b2_feature"))
+          val b3: JSONObject = if (record.isNull("b3_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b3_feature"))
+          val b6: JSONObject = if (record.isNull("b6_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b6_feature"))
+          val b7: JSONObject = if (record.isNull("b7_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b7_feature"))
+
+          val b8: JSONObject = if (record.isNull("b8_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b8_feature"))
+          val b9: JSONObject = if (record.isNull("b9_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b9_feature"))
+          val b10: JSONObject = if (record.isNull("b10_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b10_feature"))
+          val b11: JSONObject = if (record.isNull("b11_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b11_feature"))
+          val b12: JSONObject = if (record.isNull("b12_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b12_feature"))
+          val b13: JSONObject = if (record.isNull("b13_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b13_feature"))
+          val b17: JSONObject = if (record.isNull("b17_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b17_feature"))
+          val b18: JSONObject = if (record.isNull("b18_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b18_feature"))
+          val b19: JSONObject = if (record.isNull("b19_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("b19_feature"))
+
+
+          val origin_data = List(
+            (b1, b2, b3, "b123"), (b1, b6, b7, "b167"),
+            (b8, b9, b10, "b8910"), (b11, b12, b13, "b111213"),
+            (b17, b18, b19, "b171819")
+          )
+          for ((b_1, b_2, b_3, prefix1) <- origin_data) {
+            for (prefix2 <- List(
+              "1h", "2h", "3h", "4h", "12h", "1d", "3d", "7d"
+            )) {
+              val exp = if (b_1.isEmpty) 0D else b_1.getIntValue("exp_pv_" + prefix2).toDouble
+              val share = if (b_2.isEmpty) 0D else b_2.getIntValue("share_pv_" + prefix2).toDouble
+              val returns = if (b_3.isEmpty) 0D else b_3.getIntValue("return_uv_" + prefix2).toDouble
+              val f1 = RankExtractorFeature_20240530.calDiv(share, exp)
+              val f2 = RankExtractorFeature_20240530.calLog(share)
+              val f3 = RankExtractorFeature_20240530.calDiv(returns, exp)
+              val f4 = RankExtractorFeature_20240530.calLog(returns)
+              val f5 = f3 * f4
+              featureMap.put(prefix1 + "_" + prefix2 + "_" + "STR", f1)
+              featureMap.put(prefix1 + "_" + prefix2 + "_" + "log(share)", f2)
+              featureMap.put(prefix1 + "_" + prefix2 + "_" + "ROV", f3)
+              featureMap.put(prefix1 + "_" + prefix2 + "_" + "log(return)", f4)
+              featureMap.put(prefix1 + "_" + prefix2 + "_" + "ROV*log(return)", f5)
+            }
+          }
+
+          val video_info: JSONObject = if (record.isNull("t_v_info_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("t_v_info_feature"))
+          featureMap.put("total_time", if (video_info.containsKey("total_time")) video_info.getIntValue("total_time").toDouble else 0D)
+          featureMap.put("bit_rate", if (video_info.containsKey("bit_rate")) video_info.getIntValue("bit_rate").toDouble else 0D)
+
+          val c1: JSONObject = if (record.isNull("c1_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("c1_feature"))
+          if (c1.nonEmpty) {
+            featureMap.put("playcnt_6h", if (c1.containsKey("playcnt_6h")) c1.getIntValue("playcnt_6h").toDouble else 0D)
+            featureMap.put("playcnt_1d", if (c1.containsKey("playcnt_1d")) c1.getIntValue("playcnt_1d").toDouble else 0D)
+            featureMap.put("playcnt_3d", if (c1.containsKey("playcnt_3d")) c1.getIntValue("playcnt_3d").toDouble else 0D)
+            featureMap.put("playcnt_7d", if (c1.containsKey("playcnt_7d")) c1.getIntValue("playcnt_7d").toDouble else 0D)
+          }
+          val c2: JSONObject = if (record.isNull("c2_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("c2_feature"))
+          if (c2.nonEmpty) {
+            featureMap.put("share_pv_12h", if (c2.containsKey("share_pv_12h")) c2.getIntValue("share_pv_12h").toDouble else 0D)
+            featureMap.put("share_pv_1d", if (c2.containsKey("share_pv_1d")) c2.getIntValue("share_pv_1d").toDouble else 0D)
+            featureMap.put("share_pv_3d", if (c2.containsKey("share_pv_3d")) c2.getIntValue("share_pv_3d").toDouble else 0D)
+            featureMap.put("share_pv_7d", if (c2.containsKey("share_pv_7d")) c2.getIntValue("share_pv_7d").toDouble else 0D)
+            featureMap.put("return_uv_12h", if (c2.containsKey("return_uv_12h")) c2.getIntValue("return_uv_12h").toDouble else 0D)
+            featureMap.put("return_uv_1d", if (c2.containsKey("return_uv_1d")) c2.getIntValue("return_uv_1d").toDouble else 0D)
+            featureMap.put("return_uv_3d", if (c2.containsKey("return_uv_3d")) c2.getIntValue("return_uv_3d").toDouble else 0D)
+            featureMap.put("return_uv_7d", if (c2.containsKey("return_uv_7d")) c2.getIntValue("return_uv_7d").toDouble else 0D)
+          }
+
+          val title = if (video_info.containsKey("title")) video_info.getString("title") else ""
+          if (!title.equals("")) {
+            for (key_feature <- List("c3_feature", "c4_feature", "c5_feature", "c6_feature", "c7_feature")) {
+              val c34567: JSONObject = if (record.isNull(key_feature)) new JSONObject() else
+                JSON.parseObject(record.getString(key_feature))
+              for (key_time <- List("tags_1d", "tags_3d", "tags_7d")) {
+                val tags = if (c34567.containsKey(key_time)) c34567.getString(key_time) else ""
+                if (!tags.equals("")) {
+                  val (f1, f2, f3, f4) = funcC34567ForTags(tags, title)
+                  featureMap.put(key_feature + "_" + key_time + "_matchnum", f1)
+                  featureMap.put(key_feature + "_" + key_time + "_maxscore", f3)
+                  featureMap.put(key_feature + "_" + key_time + "_avgscore", f4)
+                }
+              }
+            }
+          }
+
+          val vid = if (record.isNull("vid")) "" else record.getString("vid")
+          if (!vid.equals("")) {
+            for (key_feature <- List("c8_feature", "c9_feature")) {
+              val c89: JSONObject = if (record.isNull(key_feature)) new JSONObject() else
+                JSON.parseObject(record.getString(key_feature))
+              for (key_action <- List("share", "return")) {
+                val cfListStr = if (c89.containsKey(key_action)) c89.getString(key_action) else ""
+                if (!cfListStr.equals("")) {
+                  val cfMap = cfListStr.split(",").map(r => {
+                    val rList = r.split(":")
+                    (rList(0), (rList(1), rList(2), rList(3)))
+                  }).toMap
+                  if (cfMap.contains(vid)) {
+                    val (score, num, rank) = cfMap(vid)
+                    featureMap.put(key_feature + "_" + key_action + "_score", score.toDouble)
+                    featureMap.put(key_feature + "_" + key_action + "_num", num.toDouble)
+                    featureMap.put(key_feature + "_" + key_action + "_rank", 1.0 / rank.toDouble)
+                  }
+                }
+              }
+            }
+          }
+
+          val d1: JSONObject = if (record.isNull("d1_feature")) new JSONObject() else
+            JSON.parseObject(record.getString("d1_feature"))
+          if (d1.nonEmpty) {
+            featureMap.put("d1_exp", if (d1.containsKey("exp")) d1.getString("exp").toDouble else 0D)
+            featureMap.put("d1_return_n", if (d1.containsKey("return_n")) d1.getString("return_n").toDouble else 0D)
+            featureMap.put("d1_rovn", if (d1.containsKey("rovn")) d1.getString("rovn").toDouble else 0D)
+          }
+
+
+          val flag = record.isNull("allfeaturemap")
+
+          val allfeaturemap = if (record.isNull("allfeaturemap")) new JSONObject() else
+            JSON.parseObject(record.getString("allfeaturemap"))
+//          val featuresStr = allfeaturemap.toMap.map(r=> r._1 + ":" + r._2.toString).toSeq
+          val apptype = record.getString("apptype")
+          val pagesource = record.getString("pagesource")
+          val abcode = record.getString("abcode")
+          val level = if (record.isNull("level")) "0" else record.getString("level")
+          val label = record.getString("is_return")
+          (apptype, pagesource, level, label, abcode, allfeaturemap, featureMap, flag)
+        }).filter{
+          case (apptype, pagesource, level, label, abcode, allfeaturemap, featureMap, flag) =>
+            apptype.equals("3") && pagesource.endsWith("recommend") &&
+            Set("ab0", "ab1", "ab2", "ab3").contains(abcode) && level.equals("0") && !flag
+        }.mapPartitions(row => {
+          val result = new ArrayBuffer[String]()
+          val bucketsMap = bucketsMap_br.value
+          row.foreach {
+            case (apptype, pagesource, level, label, abcode, allfeaturemap, featureMap, flag) =>
+              val offlineFeatrueMap = featureMap.filter(r => bucketsMap.containsKey(r._1)).map(r =>{
+                val score = r._2.toString.toDouble
+                if (score > 1E-8) {
+                  val (bucketNum, buckets) = bucketsMap(r._1)
+                  val scoreNew = 1.0 / bucketNum * (ExtractorUtils.findInsertPosition(buckets, score).toDouble + 1.0)
+                  r._1 + ":" + scoreNew.toString
+                } else {
+                  ""
+                }
+              }).filter(_.nonEmpty)
+              result.add((apptype, pagesource, level, label, abcode, allfeaturemap.toString, offlineFeatrueMap.iterator.mkString(","))
+              .productIterator.mkString("\t"))
+          }
+          result.iterator
+        })
+
+      // 4 保存数据到hdfs
+      val savePartition = dt + hh
+      val hdfsPath = savePath + "/" + savePartition
+      if (hdfsPath.nonEmpty && hdfsPath.startsWith("/dw/recommend/model/")){
+        println("删除路径并开始数据写入:" + hdfsPath)
+        MyHdfsUtils.delete_hdfs_path(hdfsPath)
+        odpsData.coalesce(repartition).saveAsTextFile(hdfsPath, classOf[GzipCodec])
+      }else{
+        println("路径不合法，无法写入:" + hdfsPath)
+      }
+    }
 
     val data2 = sc.textFile(savePath + "/" + readDate + "*").mapPartitions(row=>{
       val result = new ArrayBuffer[(String,
@@ -355,50 +356,50 @@ object makedata_17_bucketDataPrint_20240617 {
       result.iterator
     })
 
-//    val saveV1 = "/dw/recommend/model/17_for_check_v1/" + readDate
-//    if (saveV1.nonEmpty && saveV1.startsWith("/dw/recommend/model/")) {
-//      println("删除路径并开始数据写入:" + saveV1)
-//      MyHdfsUtils.delete_hdfs_path(saveV1)
-//      data2.map(r => r._1 + "\t" + r._2.map(r=> r._1 + ":" + r._2).mkString("\t")).saveAsTextFile(saveV1, classOf[GzipCodec])
-//    } else {
-//      println("路径不合法，无法写入:" + saveV1)
-//    }
-//
-//    val saveV2 = "/dw/recommend/model/17_for_check_v2/" + readDate
-//    if (saveV2.nonEmpty && saveV2.startsWith("/dw/recommend/model/")) {
-//      println("删除路径并开始数据写入:" + saveV2)
-//      MyHdfsUtils.delete_hdfs_path(saveV2)
-//      data2.map(r => r._1 + "\t" + r._3.map(r=> r._1 + ":" + r._2).mkString("\t")).saveAsTextFile(saveV2, classOf[GzipCodec])
-//    } else {
-//      println("路径不合法，无法写入:" + saveV2)
-//    }
-
-//    val saveV3 = "/dw/recommend/model/17_for_check_v3/" + readDate
-//    if (saveV3.nonEmpty && saveV3.startsWith("/dw/recommend/model/")) {
-//      println("删除路径并开始数据写入:" + saveV3)
-//      MyHdfsUtils.delete_hdfs_path(saveV3)
-//      data2.map(r => r._1 + "\t" + r._4.mkString("\t")).saveAsTextFile(saveV3, classOf[GzipCodec])
-//    } else {
-//      println("路径不合法，无法写入:" + saveV3)
-//    }
-
-//    val saveV4 = "/dw/recommend/model/17_for_check_v4/" + readDate
-//    if (saveV4.nonEmpty && saveV4.startsWith("/dw/recommend/model/")) {
-//      println("删除路径并开始数据写入:" + saveV4)
-//      MyHdfsUtils.delete_hdfs_path(saveV4)
-//      data2.map(r => r._1 + "\t" + r._5.mkString("\t")).saveAsTextFile(saveV4, classOf[GzipCodec])
-//    } else {
-//      println("路径不合法，无法写入:" + saveV4)
-//    }
-
-      val saveV5 = "/dw/recommend/model/17_for_check_v5/" + readDate
-      if (saveV5.nonEmpty && saveV5.startsWith("/dw/recommend/model/")) {
-        println("删除路径并开始数据写入:" + saveV5)
-        MyHdfsUtils.delete_hdfs_path(saveV5)
-        data2.map(r => r._1 + "\t" + r._6.mkString("\t")).saveAsTextFile(saveV5, classOf[GzipCodec])
-      } else {
-        println("路径不合法，无法写入:" + saveV5)
-      }
+    val saveV1 = "/dw/recommend/model/17_for_check_v1/" + readDate
+    if (saveV1.nonEmpty && saveV1.startsWith("/dw/recommend/model/")) {
+      println("删除路径并开始数据写入:" + saveV1)
+      MyHdfsUtils.delete_hdfs_path(saveV1)
+      data2.map(r => r._1 + "\t" + r._2.map(r=> r._1 + ":" + r._2).mkString("\t")).saveAsTextFile(saveV1, classOf[GzipCodec])
+    } else {
+      println("路径不合法，无法写入:" + saveV1)
+    }
+
+    val saveV2 = "/dw/recommend/model/17_for_check_v2/" + readDate
+    if (saveV2.nonEmpty && saveV2.startsWith("/dw/recommend/model/")) {
+      println("删除路径并开始数据写入:" + saveV2)
+      MyHdfsUtils.delete_hdfs_path(saveV2)
+      data2.map(r => r._1 + "\t" + r._3.map(r=> r._1 + ":" + r._2).mkString("\t")).saveAsTextFile(saveV2, classOf[GzipCodec])
+    } else {
+      println("路径不合法，无法写入:" + saveV2)
+    }
+
+    val saveV3 = "/dw/recommend/model/17_for_check_v3/" + readDate
+    if (saveV3.nonEmpty && saveV3.startsWith("/dw/recommend/model/")) {
+      println("删除路径并开始数据写入:" + saveV3)
+      MyHdfsUtils.delete_hdfs_path(saveV3)
+      data2.map(r => r._1 + "\t" + r._4.mkString("\t")).saveAsTextFile(saveV3, classOf[GzipCodec])
+    } else {
+      println("路径不合法，无法写入:" + saveV3)
+    }
+
+    val saveV4 = "/dw/recommend/model/17_for_check_v4/" + readDate
+    if (saveV4.nonEmpty && saveV4.startsWith("/dw/recommend/model/")) {
+      println("删除路径并开始数据写入:" + saveV4)
+      MyHdfsUtils.delete_hdfs_path(saveV4)
+      data2.map(r => r._1 + "\t" + r._5.mkString("\t")).saveAsTextFile(saveV4, classOf[GzipCodec])
+    } else {
+      println("路径不合法，无法写入:" + saveV4)
+    }
+
+    val saveV5 = "/dw/recommend/model/17_for_check_v5/" + readDate
+    if (saveV5.nonEmpty && saveV5.startsWith("/dw/recommend/model/")) {
+      println("删除路径并开始数据写入:" + saveV5)
+      MyHdfsUtils.delete_hdfs_path(saveV5)
+      data2.map(r => r._1 + "\t" + r._6.mkString("\t")).saveAsTextFile(saveV5, classOf[GzipCodec])
+    } else {
+      println("路径不合法，无法写入:" + saveV5)
+    }
 
     val saveV6 = "/dw/recommend/model/17_for_check_v6/" + readDate
     if (saveV6.nonEmpty && saveV6.startsWith("/dw/recommend/model/")) {

zhangbo/03_predict.sh

@@ -29,3 +29,5 @@ cat predict/${output_file}_$day.txt | /root/sunmingze/AUC/AUC
 # nohup sh 03_predict.sh 20240618 /dw/recommend/model/17_for_check_v2/ model_aka8_20240608.txt v2 8 >v2.log 2>&1 &
 # nohup sh 03_predict.sh 20240618 /dw/recommend/model/17_for_check_v3/ model_aka8_20240608.txt v3 8 >v3.log 2>&1 &
 # nohup sh 03_predict.sh 20240618 /dw/recommend/model/17_for_check_v4/ model_aka8_20240608.txt v4 8 >v4.log 2>&1 &
+# nohup sh 03_predict.sh 20240618 /dw/recommend/model/17_for_check_v5/ model_aka8_20240608.txt v4 8 >v5.log 2>&1 &
+# nohup sh 03_predict.sh 20240618 /dw/recommend/model/17_for_check_v6/ model_aka8_20240608.txt v4 8 >v6.log 2>&1 &