Incorporate histogram min and max fields into histogram language, add…

specification/metrics/sdk.md

@@ -301,6 +301,7 @@ The SDK MUST provide the following `Aggregation` to support the
 - [Last Value](./sdk.md#last-value-aggregation)
 - [Histogram](./sdk.md#histogram-aggregation)
 - [Explicit Bucket Histogram](./sdk.md#explicit-bucket-histogram-aggregation)
+- [Zero Bucket Histogram](./sdk.md#zero-bucket-histogram-aggregation)
 
 #### None Aggregation
 
@@ -388,12 +389,33 @@ This Aggregation honors the following configuration parameters:
 | Temporality | Delta, Cumulative | Cumulative | See [Temporality](./datamodel.md#temporality). |
 | Boundaries | double\[\] | [ 0, 5, 10, 25, 50, 75, 100, 250, 500, 1000 ] | Array of increasing values representing explicit bucket boundary values.<br><br>The Default Value represents the following buckets:<br>(-&infin;, 0], (0, 5.0], (5.0, 10.0], (10.0, 25.0], (25.0, 50.0], (50.0, 75.0], (75.0, 100.0], (100.0, 250.0], (250.0, 500.0], (500.0, 1000.0], (1000.0, +&infin;) |
 
-\[1\]: Language implementations may choose the best strategy for handling errors. (i.e. Log, Discard, etc...)
-
 This Aggregation informs the SDK to collect:
 
 - Count of `Measurement` values falling within explicit bucket boundaries.
 - Arithmetic sum of `Measurement` values in population.
+- Min `Measurement` value in population.
+- Max `Measurement` value in population.
+
+#### Zero Bucket Histogram Aggregation
+
+The Zero Bucket Aggregation informs the SDK to collect data for
+the [Histogram Metric Point](./datamodel.md#histogram) using zero buckets. This
+produces lightweight histogram data points which capture the min, max, sum, and
+count of a population of measurements.
+
+| Key | Value | Default Value | Description |
+| --- | --- | --- | --- |
+| Monotonic | boolean | true | if true, non-positive values are treated as errors<sup>1</sup>. |
+| Temporality | Delta, Cumulative | Cumulative | See [Temporality](./datamodel.md#temporality). |
+
+This Aggregation informs the SDK to collect:
+
+- Count of `Measurement` values in population
+- Arithmetic sum of `Measurement` values in population.
+- Min `Measurement` value in population.
+- Max `Measurement` value in population.
+
+\[1\]: Language implementations may choose the best strategy for handling errors. (i.e. Log, Discard, etc...)
 
 ## Attribute limits