FilterExpr

abstract def canEqual(that: Any): Boolean

abstract def dataExprs: List[DataExpr]

The underlying data expressions that supply input for the evaluation.

abstract def eval(context: EvalContext, data: Map[DataExpr, List[TimeSeries]]): ResultSet

abstract def finalGrouping: List[String]

Returns the final grouping for the expression.

abstract def groupByKey(tags: Map[String, String]): Option[String]

Returns the grouping key generated for a given tag map.

abstract def isGrouped: Boolean

Returns true if the result is grouped.

abstract def productArity: Int

abstract def productElement(n: Int): Any

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def eval(context: EvalContext, data: List[TimeSeries]): ResultSet

def exprString: String

Returns a string that can be executed with the stack interpreter to create this expression.

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def productIterator: Iterator[Any]

def productPrefix: String

def rewrite(f: PartialFunction[Expr, Expr]): Expr

Rewrite the expression using the specified function.

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

final def wait(): Unit

def withOffset(d: Duration): TimeSeriesExpr

Apply a time shift to all underlying data expressions.

def finalize(): Unit