google_api_dataflow v0.9.1 GoogleApi.Dataflow.V1b3.Model.DistributionUpdate View Source
A metric value representing a distribution.
Attributes
count(type:GoogleApi.Dataflow.V1b3.Model.SplitInt64.t, default:nil) - The count of the number of elements present in the distribution.histogram(type:GoogleApi.Dataflow.V1b3.Model.Histogram.t, default:nil) - (Optional) Histogram of value counts for the distribution.max(type:GoogleApi.Dataflow.V1b3.Model.SplitInt64.t, default:nil) - The maximum value present in the distribution.min(type:GoogleApi.Dataflow.V1b3.Model.SplitInt64.t, default:nil) - The minimum value present in the distribution.sum(type:GoogleApi.Dataflow.V1b3.Model.SplitInt64.t, default:nil) - Use an int64 since we'd prefer the added precision. If overflow is a common problem we can detect it and use an additional int64 or a double.sumOfSquares(type:float(), default:nil) - Use a double since the sum of squares is likely to overflow int64.
Link to this section Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Link to this section Types
Link to this type
t()
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t()
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t() :: %GoogleApi.Dataflow.V1b3.Model.DistributionUpdate{
count: GoogleApi.Dataflow.V1b3.Model.SplitInt64.t(),
histogram: GoogleApi.Dataflow.V1b3.Model.Histogram.t(),
max: GoogleApi.Dataflow.V1b3.Model.SplitInt64.t(),
min: GoogleApi.Dataflow.V1b3.Model.SplitInt64.t(),
sum: GoogleApi.Dataflow.V1b3.Model.SplitInt64.t(),
sumOfSquares: float()
}
t() :: %GoogleApi.Dataflow.V1b3.Model.DistributionUpdate{
count: GoogleApi.Dataflow.V1b3.Model.SplitInt64.t(),
histogram: GoogleApi.Dataflow.V1b3.Model.Histogram.t(),
max: GoogleApi.Dataflow.V1b3.Model.SplitInt64.t(),
min: GoogleApi.Dataflow.V1b3.Model.SplitInt64.t(),
sum: GoogleApi.Dataflow.V1b3.Model.SplitInt64.t(),
sumOfSquares: float()
}
Link to this section Functions
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decode(value, options) View Source
Unwrap a decoded JSON object into its complex fields.