org.apache.spark.sql.sources.druid

DruidPlanner

object DruidPlanner

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  1. final def !=(arg0: AnyRef): Boolean

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  3. final def ##(): Int

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  6. val DEBUG_TRANSFORMATIONS: SQLConfEntry[Boolean]

  7. val DRUID_CONN_POOL_MAX_CONNECTIONS: SQLConfEntry[Int]

  8. val DRUID_CONN_POOL_MAX_CONNECTIONS_PER_ROUTE: SQLConfEntry[Int]

  9. val DRUID_QUERY_COST_MODEL_ENABLED: SQLConfEntry[Boolean]

  10. val DRUID_QUERY_COST_MODEL_HISTORICAL_PROCESSING_COST: SQLConfEntry[Double]

  11. val DRUID_QUERY_COST_MODEL_HISTORICAL_TIMESERIES_PROCESSING_COST: SQLConfEntry[Double]

  12. val DRUID_QUERY_COST_MODEL_HIST_MERGE_COST: SQLConfEntry[Double]

  13. val DRUID_QUERY_COST_MODEL_HIST_SEGMENTS_PERQUERY_LIMIT: SQLConfEntry[Int]

  14. val DRUID_QUERY_COST_MODEL_INTERVAL_SCALING_NDV: SQLConfEntry[Double]

  15. val DRUID_QUERY_COST_MODEL_OUTPUT_TRANSPORT_COST: SQLConfEntry[Double]

  16. val DRUID_QUERY_COST_MODEL_SPARK_AGGREGATING_COST: SQLConfEntry[Double]

  17. val DRUID_QUERY_COST_MODEL_SPARK_SCHEDULING_COST: SQLConfEntry[Double]

  18. val DRUID_SELECT_QUERY_PAGESIZE: SQLConfEntry[Int]

  19. val SPARKLINEDATA_CACHE_TABLES_TOCHECK: SQLConfEntry[Seq[String]]

  20. val TZ_ID: SQLConfEntry[String]

  21. def apply(sqlContext: SQLContext): Unit

  22. final def asInstanceOf[T0]: T0

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  23. def clone(): AnyRef

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  26. def finalize(): Unit

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  27. final def getClass(): Class[_]

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  28. def getConfValue[T](sqlContext: SQLContext, entry: SQLConfEntry[T]): T

  29. def getDruidQuerySpecs(plan: SparkPlan): Seq[DruidQuery]

  30. def getDruidRDDs(plan: SparkPlan): Seq[DruidRDD]

  31. def hashCode(): Int

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  38. final def wait(): Unit

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  40. final def wait(arg0: Long): Unit

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