MathExpr

Type Members

1. case class Abs(expr: TimeSeriesExpr) extends UnaryMathExpr with Product with Serializable

   

2. case class Add(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

   

3. trait AggrMathExpr extends TimeSeriesExpr with BinaryOp

   

4. case class And(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

   

5. trait BinaryMathExpr extends TimeSeriesExpr with BinaryOp

   

6. case class ClampMax(expr: TimeSeriesExpr, max: Double) extends TimeSeriesExpr with UnaryOp with Product with Serializable

   

7. case class ClampMin(expr: TimeSeriesExpr, min: Double) extends TimeSeriesExpr with UnaryOp with Product with Serializable

   

8. case class Constant(v: Double) extends TimeSeriesExpr with Product with Serializable

   

9. case class Count(expr: TimeSeriesExpr) extends AggrMathExpr with Product with Serializable

   

10. case class Divide(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

11. case class FAdd(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

12. case class FDivide(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

13. case class FMultiply(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

14. case class FSubtract(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

15. case class GreaterThan(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

16. case class GreaterThanEqual(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

17. case class GroupBy(expr: AggrMathExpr, keys: List[String]) extends TimeSeriesExpr with Product with Serializable

    

18. case class LessThan(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

19. case class LessThanEqual(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

20. case class Max(expr: TimeSeriesExpr) extends AggrMathExpr with Product with Serializable

    

21. case class Min(expr: TimeSeriesExpr) extends AggrMathExpr with Product with Serializable

    

22. case class Multiply(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

23. case class NamedRewrite(name: String, displayExpr: Expr, evalExpr: TimeSeriesExpr, context: Context, groupByRewrite: Option[(Expr, List[String]) ⇒ Expr] = None) extends TimeSeriesExpr with Product with Serializable

    

    Named rewrites are used to keep track of the user intent for operations and macros that are defined in terms of other basic operations.

    Named rewrites are used to keep track of the user intent for operations and macros that are defined in terms of other basic operations. For example, :avg is not available as a basic aggregate type, it is a rewrite to query,:sum,query,:count,:div. However, for the user it is better if we can show query,:avg when dumping the expression as a string.

    name

    Name of the operation, e.g., avg.

    displayExpr

    Expression that is displayed to the user when creating the expression string.

    evalExpr

    Expression that is evaluated.

    context

    Evaluation context for the initial creation time. This context is used to re-evaluate the rewrite using the original context if the overall expression is rewritten (Expr.rewrite()) later.

24. case class Negate(expr: TimeSeriesExpr) extends UnaryMathExpr with Product with Serializable

    

25. case class Or(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

26. case class PerStep(expr: TimeSeriesExpr) extends UnaryMathExpr with Product with Serializable

    

27. case class Percentiles(expr: DataExpr.GroupBy, percentiles: List[Double]) extends TimeSeriesExpr with Product with Serializable

    

    Compute estimated percentile values using counts for well known buckets.

    Compute estimated percentile values using counts for well known buckets. See spectator PercentileBuckets for more information. The input will be grouped by the percentile key with each key value being the bucket index. The output will be one line per requested percentile.

    expr

    Input data expression. The value should be a sum or group by. The group by list should include the 'percentile' key. If using the :percentiles word to construct the instance then other aggregate types, such as max, will automatically be converted to sum and the percentile key will be added into the group by clause.

    percentiles

    List of percentiles to compute. Each value should be in the range [0.0, 100.0].

28. case class Power(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

29. case class SeededRandom(seed: Int) extends TimeSeriesExpr with Product with Serializable

    

    Same as [Random], but allows the user to specify a seed to vary the input.

    Same as [Random], but allows the user to specify a seed to vary the input. This allows multiple sample lines to be produced with different values.

30. case class Sqrt(expr: TimeSeriesExpr) extends UnaryMathExpr with Product with Serializable

    

31. case class Subtract(expr1: TimeSeriesExpr, expr2: TimeSeriesExpr) extends BinaryMathExpr with Product with Serializable

    

32. case class Sum(expr: TimeSeriesExpr) extends AggrMathExpr with Product with Serializable

    

33. case class Time(mode: String) extends TimeSeriesExpr with Product with Serializable

    

34. case class TimeSpan(s: String, e: String, zone: ZoneId) extends TimeSeriesExpr with Product with Serializable

    

35. trait UnaryMathExpr extends TimeSeriesExpr with UnaryOp