Percentiles

com.netflix.atlas.core.model.MathExpr.Percentiles
case class Percentiles(expr: GroupBy, percentiles: List[Double]) extends TimeSeriesExpr

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.

Value parameters

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].

Attributes

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Supertypes
trait Serializable
trait Expr
trait Product
trait Equals
class Object
trait Matchable
class Any
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Value members

Concrete methods

override 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

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

Attributes

Definition Classes
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

override 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

Definition Classes
override def isGrouped: Boolean

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

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

Attributes

Definition Classes
override def toString: String

Returns a string representation of the object.

Returns a string representation of the object.

The default representation is platform dependent.

Attributes

Returns

a string representation of the object.

Definition Classes
Any

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 productElementNames: Iterator[String]

Attributes

Inherited from:
Product
def productIterator: Iterator[Any]

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