MathExpr

com.netflix.atlas.core.model.MathExpr
See theMathExpr companion object
trait MathExpr extends TimeSeriesExpr

Attributes

Companion
object
Graph
Supertypes
trait Expr
trait Product
trait Equals
class Object
trait Matchable
class Any
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Members list

Value members

Inherited methods

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

Attributes

Inherited from:
TimeSeriesExpr
def exprString: String

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

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

Attributes

Inherited from:
Expr
def productElementName(n: Int): String

Attributes

Inherited from:
Product
def productElementNames: Iterator[String]

Attributes

Inherited from:
Product
def productIterator: Iterator[Any]

Attributes

Inherited from:
Product
def productPrefix: String

Attributes

Inherited from:
Product
def rewrite(f: PartialFunction[Expr, Expr]): Expr

Rewrite the expression using the specified function. The default implementation will try to recursively apply the rewrite to case classes.

Rewrite the expression using the specified function. The default implementation will try to recursively apply the rewrite to case classes.

Attributes

Inherited from:
Expr
def withOffset(d: Duration): TimeSeriesExpr

Apply a time shift to all underlying data expressions.

Apply a time shift to all underlying data expressions.

Attributes

Inherited from:
TimeSeriesExpr

Inherited and Abstract methods

def canEqual(that: Any): Boolean

Attributes

Inherited from:
Equals
def dataExprs: List[DataExpr]

The underlying data expressions that supply input for the evaluation. These are used to fetch data from the data stores. There may be some expressions types that generate data and will have an empty set. Examples are constants, random, or time.

The underlying data expressions that supply input for the evaluation. These are used to fetch data from the data stores. There may be some expressions types that generate data and will have an empty set. Examples are constants, random, or time.

Attributes

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

Attributes

Inherited from:
TimeSeriesExpr
def finalGrouping: List[String]

Returns the final grouping for the expression. For non-grouped expressions this will be an empty list. If a multi-level group by is used, then this will return the grouping of the final result and ignore any intermediate groupings.

Returns the final grouping for the expression. For non-grouped expressions this will be an empty list. If a multi-level group by is used, then this will return the grouping of the final result and ignore any intermediate groupings.

Attributes

Inherited from:
TimeSeriesExpr
def groupByKey(tags: Map[String, String]): Option[String]

Returns the grouping key generated for a given tag map. All keys for the group by must be present in the map.

Returns the grouping key generated for a given tag map. All keys for the group by must be present in the map.

Attributes

Inherited from:
TimeSeriesExpr
def isGrouped: Boolean

Returns true if the result is grouped. See GroupBy operators.

Returns true if the result is grouped. See GroupBy operators.

Attributes

Inherited from:
TimeSeriesExpr
def productArity: Int

Attributes

Inherited from:
Product
def productElement(n: Int): Any

Attributes

Inherited from:
Product