Sum

Instance Constructors

new Sum(query: Query, cf: SumOrAvgCf = ConsolidationFunction.Avg, offset: Duration = Duration.ZERO)

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def apply(v1: Double, v2: Double): Double

Definition Classes
Sum → Function2
final def asInstanceOf[T0]: T0

Definition Classes
Any
val cf: SumOrAvgCf

Definition Classes
Sum → DataExpr
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@HotSpotIntrinsicCandidate() @throws( ... )
def commonTags(tags: Map[String, String]): Map[String, String]

Attributes
protected
Definition Classes
DataExpr
def consolidate(step: Long, ts: List[TimeSeries]): List[TimeSeries]

Attributes
protected
Definition Classes
DataExpr
def curried: (Double) ⇒ (Double) ⇒ Double

Definition Classes
Function2
Annotations
@unspecialized()
def dataExprs: List[DataExpr]

The underlying data expressions that supply input for the evaluation.
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.

Definition Classes
DataExpr → TimeSeriesExpr
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AggregateFunction → TimeSeriesExpr
def eval(context: EvalContext, data: Map[DataExpr, List[TimeSeries]]): ResultSet

Definition Classes
DataExpr → 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.

Definition Classes
Sum → DataExpr → Expr
def finalGrouping: List[String]

Returns the final grouping for the expression.
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.

Definition Classes
DataExpr → TimeSeriesExpr
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
Annotations
@HotSpotIntrinsicCandidate()
def groupByKey(tags: Map[String, String]): Option[String]

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

Definition Classes
DataExpr → TimeSeriesExpr
def isGrouped: Boolean

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

Definition Classes
DataExpr → TimeSeriesExpr
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def labelString: String

Definition Classes
Sum → AggregateFunction
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
Annotations
@HotSpotIntrinsicCandidate()
final def notifyAll(): Unit

Definition Classes
AnyRef
Annotations
@HotSpotIntrinsicCandidate()
val offset: Duration

Definition Classes
Sum → DataExpr
val query: Query

Definition Classes
Sum → DataExpr
def rewrite(f: PartialFunction[Expr, Expr]): Expr

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

Definition Classes
Expr
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AggregateFunction → Function2 → DataExpr → AnyRef → Any
def tupled: ((Double, Double)) ⇒ Double

Definition Classes
Function2
Annotations
@unspecialized()
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
def withConsolidation(f: ConsolidationFunction): AggregateFunction

Definition Classes
Sum → AggregateFunction
def withOffset(d: Duration): Sum

Apply a time shift to all underlying data expressions.
Apply a time shift to all underlying data expressions.

Definition Classes
Sum → TimeSeriesExpr

Deprecated Value Members

def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
Deprecated
(Since version ) see corresponding Javadoc for more information.

Related Doc: package DataExpr

case class Sum(query: Query, cf: SumOrAvgCf = ConsolidationFunction.Avg, offset: Duration = Duration.ZERO) extends AggregateFunction with Product with Serializable

Instance Constructors

new Sum(query: Query, cf: SumOrAvgCf = ConsolidationFunction.Avg, offset: Duration = Duration.ZERO)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def apply(v1: Double, v2: Double): Double

final def asInstanceOf[T0]: T0

val cf: SumOrAvgCf

def clone(): AnyRef

def commonTags(tags: Map[String, String]): Map[String, String]

def consolidate(step: Long, ts: List[TimeSeries]): List[TimeSeries]

def curried: (Double) ⇒ (Double) ⇒ Double

def dataExprs: List[DataExpr]

final def eq(arg0: AnyRef): Boolean

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

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

def exprString: String

def finalGrouping: List[String]

final def getClass(): Class[_]

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

def isGrouped: Boolean

final def isInstanceOf[T0]: Boolean

def labelString: String

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val offset: Duration

val query: Query

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

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

def toString(): String

def tupled: ((Double, Double)) ⇒ Double

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def withConsolidation(f: ConsolidationFunction): AggregateFunction

def withOffset(d: Duration): Sum

Deprecated Value Members

def finalize(): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from AggregateFunction

Inherited from (Double, Double) ⇒ Double

Inherited from DataExpr

Inherited from TimeSeriesExpr

Inherited from Expr

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped