class SummaryJob extends Serializable
Summary Job for daily upload of stats. Leverage the stats module for computation per range. Follow pattern of staging query for dividing long ranges into reasonable chunks. Follow pattern of OOC for computing offline and uploading online as well.
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- new SummaryJob(session: SparkSession, joinConf: api.Join, endDate: String)
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- def basicStatsJob(inputTable: String, outputTable: String, stepDays: Option[Int] = None, sample: Double = 0.1, forceBackfill: Boolean = false): Unit
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- def dailyRun(stepDays: Option[Int] = None, sample: Double = 0.1, forceBackfill: Boolean = false): Unit
Daily stats job for backfill output tables.
Daily stats job for backfill output tables. Filters contextual and external features. Computes stats for values on the "left" since they are a part of backfill table.
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- lazy val logger: Logger
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- def loggingRun(stepDays: Option[Int] = None, sample: Double = 0.1, forceBackfill: Boolean = false): Unit
Batch stats compute and upload for the logs Does not filter contextual or external features.
Batch stats compute and upload for the logs Does not filter contextual or external features. Filters values on the "left" since they are not available on fetch.
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