Returns a new aspect that represents the sequential composition of this aspect with the specified one.
Returns a new aspect that represents the sequential composition of this aspect with the specified one.
Returns a copy of this summary with the specified name, maximum age, maximum size, error, quantiles, and tags.
Returns the current count of all the values ever observed by this summary.
Returns whether this summary is equal to the specified summary.
Returns whether this summary is equal to the specified summary.
Returns the hash code of this summary.
Returns the hash code of this summary.
The type of this summary.
The type of this summary.
Adds the specified value to the time series represented by this summary,
also recording the Instant
when the value was observed.
Returns the values corresponding to each quantile in this summary.
Returns the current sum of all the values ever observed by this summary.
A
Summary
represents a sliding window of a time series along with metrics for certain percentiles of the time series, referred to as quantiles. Quantiles describe specified percentiles of the sliding window that are of interest. For example, if we were using a summary to track the response time for requests over the last hour then we might be interested in the 50th percentile, 90th percentile, 95th percentile, and 99th percentile for response times.