Metrics Context

The Metrics Context is a Context implementation for pdata Metrics, the collector's internal representation for OTLP metric data. This Context should be used when interacted with OTLP metrics.

Paths

In general, the Metrics Context supports accessing pdata using the field names from the metrics proto. All integers are returned and set via int64. All doubles are returned and set via float64.

The following fields are the exception.

path	field accessed	type
resource	resource of the data point being processed	pcommon.Resource
resource.attributes	resource attributes of the data point being processed	pcommon.Map
resource.attributes[""]	the value of the resource attribute of the data point being processed	string, bool, int64, float64, pcommon.Map, pcommon.Slice, []byte or nil
instrumentation_scope	instrumentation scope of the data point being processed	pcommon.InstrumentationScope
instrumentation_scope.name	name of the instrumentation scope of the data point being processed	string
instrumentation_scope.version	version of the instrumentation scope of the data point being processed	string
instrumentation_scope.attributes	instrumentation scope attributes of the data point being processed	pcommon.Map
instrumentation_scope.attributes[""]	the value of the instrumentation scope attribute of the data point being processed	string, bool, int64, float64, pcommon.Map, pcommon.Slice, []byte or nil
attributes	attributes of the data point being processed	pcommon.Map
attributes[""]	the value of the attribute of the data point being processed	string, bool, int64, float64, pcommon.Map, pcommon.Slice, []byte or nil
metric	the metric to which the data point being processed belongs	pmetric.Metric
metric.name	the name of the metric to which the data point being processed belongs	string
metric.description	the description of the metric to which the data point being processed belongs	string
metric.unit	the unit of the metric to which the data point being processed belongs	string
metric.type	the type of the metric to which the data point being processed belongs. See enums below for integer mapping.	int64
metric.aggregation_temporality	the aggregation temporality of the metric to which the data point being processed belongs	int64
metric.is_monotonic	the monotonicity of the metric to which the data point being processed belongs	bool
positive	the positive buckets of the data point being processed	pmetric.ExponentialHistogramDataPoint
positive.offset	the offset of the positive buckets of the data point being processed	int64
positive.bucket_counts	the bucket_counts of the positive buckets of the data point being processed	uint64
negative	the negative buckets of the data point being processed	pmetric.ExponentialHistogramDataPoint
negative.offset	the offset of the negative buckets of the data point being processed	int64
negative.bucket_counts	the bucket_counts of the negative buckets of the data point being processed	uint64

Enums

The Metrics Context supports the enum names from the metrics proto. In addition, it also supports an enum for metrics data type, with the numeric value being defined by pdata.

Enum Symbol	Value
METRIC_DATA_TYPE_NONE	0
METRIC_DATA_TYPE_GAUGE	1
METRIC_DATA_TYPE_SUM	2
METRIC_DATA_TYPE_HISTOGRAM	3
METRIC_DATA_TYPE_EXPONENTIAL_HISTOGRAM	4
METRIC_DATA_TYPE_SUMMARY	5