com.netflix.atlas.core.norm
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If it is expensive to overwrite, then the immediate pass through behavior of other functions can be undesirable. This implementation uses a buffer to track the last n values over time for a given normalization function. This is typically to allow for use-cases where data may be reported on many nodes and thus some data is received out of order with many values for a given time.
If it is expensive to overwrite, then the immediate pass through behavior of other functions can be undesirable. This implementation uses a buffer to track the last n values over time for a given normalization function. This is typically to allow for use-cases where data may be reported on many nodes and thus some data is received out of order with many values for a given time.
Value parameters
- next
-
Normalized values will be passed to the this function.
- size
-
Size of the buffer.
- step
-
Step size between successive values.
Attributes
- Supertypes
Simple value function used for testing and debugging. Collects output in a list so it is easy to examine.
Simple value function used for testing and debugging. Collects output in a list so it is easy to examine.
Attributes
- Supertypes
Normalizes values by truncating the timestamp to the previous step boundary. All values will be passed through to the next function.
Normalizes values by truncating the timestamp to the previous step boundary. All values will be passed through to the next function.
Value parameters
- next
-
Normalized values will be passed to the this function.
- step
-
Normalized distance between samples produced by this class.
Attributes
- Supertypes
Attributes
- Supertypes
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class Objecttrait Matchableclass Any
Attributes
- Companion
- class
- Supertypes
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class Objecttrait Matchableclass Any
- Self type
Normalizes metrics in a manner similar to RRDtool.
Normalizes metrics in a manner similar to RRDtool.
Value parameters
- heartbeat
-
maximum time allowed between updates before NaN values will be used.
- next
-
normalized values will be passed to the this function.
- step
-
normalized distance between samples produced by this class.
Attributes
- Companion
- object
- Supertypes
Converts values into a rate per second. The input values should be a monotonically increasing.
Converts values into a rate per second. The input values should be a monotonically increasing.
Attributes
- Supertypes
Value function that will aggregate all values received for a given step interval. Keeps a rolling buffer to allow out of order updates for a brief window and ensure that the normalized values will get output in order.
Value function that will aggregate all values received for a given step interval. Keeps a rolling buffer to allow out of order updates for a brief window and ensure that the normalized values will get output in order.
Value parameters
- aggr
-
Aggregation function to use to combine values for the same interval.
- next
-
Normalized values will be passed to the this function.
- step
-
Normalized distance between samples produced by this class.
Attributes
- Supertypes
Normalizes values by truncating the timestamp to the previous step boundary and accumulating all values for a given time. All values will be passed through to the next function.
Normalizes values by truncating the timestamp to the previous step boundary and accumulating all values for a given time. All values will be passed through to the next function.
Value parameters
- next
-
Normalized values will be passed to the this function.
- step
-
Normalized distance between samples produced by this class.
Attributes
- Supertypes
Attributes
- Supertypes
Attributes
- Supertypes
-
trait AutoCloseableclass Objecttrait Matchableclass Any
- Known subtypes
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class DedupValueFunctionclass ListValueFunctionclass MaxValueFunctionclass NormalizeValueFunctionclass RateValueFunctionclass RollingValueFunctionclass SumValueFunctionclass UpdateValueFunctionShow all