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Scalars.definitions(includeOptin).filter(_._2.process == Some(\"parent\"))\n+\n+    run(opts.to(), opts.outputBucket(), messages, sc.defaultParallelism, handler, histogramDefinitions, scalarDefinitions, DefaultFilterLimit)\n+\n+    sc.stop()\n+  }\n+\n+  private def getOrderKey(message: Message): Option[((String, String, Int), Int)] = {\n+    // This replicate the existing code, except returns a small data structure rather\n+    // than the entire ping, and doesn't filter in the for loop\n+\n+    val fields = message.fieldsAsMap\n+\n+    val payload = message.payload.getOrElse(fields.getOrElse(\"submission\", \"{}\")) match {\n+      case p: String => parse(p) \\ \"payload\"\n+      case _ => JObject()\n+    }\n+\n+    for {\n+      clientId <- fields.get(\"clientId\").asInstanceOf[Option[String]]\n+      info <- fields.get(\"payload.info\").asInstanceOf[Option[String]]\n+\n+      json = parse(info)\n+      JString(startDate) <- (json \\ \"subsessionStartDate\").toOption\n+      JInt(counter) <- (json \\ \"profileSubsessionCounter\").toOption\n+    } yield ((clientId, startDate, counter.toInt), 1)\n+  }\n+\n+  def run(version: String, outputBucket: String, messages: RDD[Message], numPartitions: Int,\n+                  s3Handler: S3Handler, histogramDefinitions: Map[String, HistogramDefinition],\n+                  scalarDefinitions: Map[String, ScalarDefinition], filterLimit: Int): Unit = {\n+    val prefix = s\"$jobName/v$version\"\n+\n     // Cleans out prefix if data already exists\n-    deletePrefix(outputBucket, prefix)\n+    s3Handler.deletePrefix(outputBucket, prefix)\n \n     try {\n       // Sort submissions in descending order\n       implicit val ordering = Ordering[(String, String, Int)].reverse\n+\n+      val allowedLargeClientKeys = messages\n+        .flatMap(getOrderKey)\n+        .repartitionAndSortWithinPartitions(new ClientIdPartitioner(numPartitions))\n+        .mapPartitions{ case it: Iterator[((String, String, Int), Int)] =>\n+          var allowedClientKeys: ListBuffer[(String, Set[(String, Int)])] = new ListBuffer()\n+\n+          var currentClientId: String = \"\"\n+          var currentClientKeys: ListBuffer[(String, Int)] = new ListBuffer()\n+          var currentClientKeysCount: Int = 0\n+\n+          while(it.hasNext) {\n+            val ((clientId, startDate, counter), _) = it.next()\n+\n+            if(clientId != currentClientId) {\n+              currentClientKeys.clear()\n+              currentClientKeysCount = 0\n+              currentClientId = clientId.asInstanceOf[String]\n+            }\n+\n+            if(currentClientKeysCount < DefaultMaxHistorySize) {\n+              val key: (String, Int) = (startDate.asInstanceOf[String], counter.asInstanceOf[Int])\n+              currentClientKeys += key\n+            }\n+\n+            currentClientKeysCount += 1\n+\n+            if(currentClientKeysCount == filterLimit){\n+              val clientKeys: (String, Set[(String, Int)]) = (clientId.asInstanceOf[String], currentClientKeys.toSet)\n+              allowedClientKeys += clientKeys\n+            }\n+          }\n+\n+          allowedClientKeys.iterator\n+        }\n+        .collect()\n+        .toMap\n+\n+      val clientLookupMap = 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are only included in the `clientLookupMap` if they have more than `DefaultFilterLimit` pings. 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