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Histograms measure the statistical distribution of a set of values. In high performance applications it is not possible to keep the entire data stream of a histogram in memory. To work around this reservoir sampling algorithms allow us to maintain a small, manageable reservoir which is statistically representative of an entire data stream.
I'm currently using App.Metrics in a batch-processing application that has a fixed lifetime: starts, performs some actions and measures how long they take, and then prints the resulting metrics.
I know in advance that the amount of data can be kept in memory, so I would like to use a sampling strategy that uses all of it. Is it possible to do this out of the box?
The text was updated successfully, but these errors were encountered:
According to the official docs:
I'm currently using
App.Metrics
in a batch-processing application that has a fixed lifetime: starts, performs some actions and measures how long they take, and then prints the resulting metrics.I know in advance that the amount of data can be kept in memory, so I would like to use a sampling strategy that uses all of it. Is it possible to do this out of the box?
The text was updated successfully, but these errors were encountered: