[receiver/awscontainerinsightreceiver] Add option to override cluster name #3
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receiver/awscontainerinsightreceiver/internal/ecsInfo/ecs_instance_info.go
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receiver/awscontainerinsightreceiver/internal/ecsInfo/ecs_instance_info.go
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receiver/awscontainerinsightreceiver/internal/host/hostinfo_test.go
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receiver/awscontainerinsightreceiver/internal/host/hostinfo_test.go
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… Histo --> Histogram (open-telemetry#33824) ## Description This PR adds a custom metric function to the transformprocessor to convert exponential histograms to explicit histograms. Link to tracking issue: Resolves open-telemetry#33827 **Function Name** ``` convert_exponential_histogram_to_explicit_histogram ``` **Arguments:** - `distribution` (_upper, midpoint, uniform, random_) - `ExplicitBoundaries: []float64` **Usage example:** ```yaml processors: transform: error_mode: propagate metric_statements: - context: metric statements: - convert_exponential_histogram_to_explicit_histogram("random", [10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]) ``` **Converts:** ``` Resource SchemaURL: ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: response_time -> Description: -> Unit: -> DataType: ExponentialHistogram -> AggregationTemporality: Delta ExponentialHistogramDataPoints #0 Data point attributes: -> metric_type: Str(timing) StartTimestamp: 1970-01-01 00:00:00 +0000 UTC Timestamp: 2024-07-31 09:35:25.212037 +0000 UTC Count: 44 Sum: 999.000000 Min: 40.000000 Max: 245.000000 Bucket (32.000000, 64.000000], Count: 10 Bucket (64.000000, 128.000000], Count: 22 Bucket (128.000000, 256.000000], Count: 12 {"kind": "exporter", "data_type": "metrics", "name": "debug"} ``` **To:** ``` Resource SchemaURL: ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: response_time -> Description: -> Unit: -> DataType: Histogram -> AggregationTemporality: Delta HistogramDataPoints #0 Data point attributes: -> metric_type: Str(timing) StartTimestamp: 1970-01-01 00:00:00 +0000 UTC Timestamp: 2024-07-30 21:37:07.830902 +0000 UTC Count: 44 Sum: 999.000000 Min: 40.000000 Max: 245.000000 ExplicitBounds #0: 10.000000 ExplicitBounds #1: 20.000000 ExplicitBounds #2: 30.000000 ExplicitBounds #3: 40.000000 ExplicitBounds #4: 50.000000 ExplicitBounds #5: 60.000000 ExplicitBounds #6: 70.000000 ExplicitBounds #7: 80.000000 ExplicitBounds #8: 90.000000 ExplicitBounds #9: 100.000000 Buckets #0, Count: 0 Buckets #1, Count: 0 Buckets #2, Count: 0 Buckets #3, Count: 2 Buckets #4, Count: 5 Buckets #5, Count: 0 Buckets #6, Count: 3 Buckets #7, Count: 7 Buckets #8, Count: 2 Buckets #9, Count: 4 Buckets #10, Count: 21 {"kind": "exporter", "data_type": "metrics", "name": "debug"} ``` ### Testing - Several unit tests have been created. We have also tested by ingesting and converting exponential histograms from the `statsdreceiver` as well as directly via the `otlpreceiver` over grpc over several hours with a large amount of data. - We have clients that have been running this solution in production for a number of weeks. ### Readme description: ### convert_exponential_hist_to_explicit_hist `convert_exponential_hist_to_explicit_hist([ExplicitBounds])` the `convert_exponential_hist_to_explicit_hist` function converts an ExponentialHistogram to an Explicit (_normal_) Histogram. `ExplicitBounds` is represents the list of bucket boundaries for the new histogram. This argument is __required__ and __cannot be empty__. __WARNING:__ The process of converting an ExponentialHistogram to an Explicit Histogram is not perfect and may result in a loss of precision. It is important to define an appropriate set of bucket boundaries to minimize this loss. For example, selecting Boundaries that are too high or too low may result histogram buckets that are too wide or too narrow, respectively. --------- Co-authored-by: Kent Quirk <kentquirk@gmail.com> Co-authored-by: Tyler Helmuth <12352919+TylerHelmuth@users.noreply.github.com>
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<!--Ex. Fixing a bug - Describe the bug and how this fixes the issue. Ex. Adding a feature - Explain what this achieves.--> #### Description Generates simple histograms using telemetrygen <!-- Issue number (e.g. open-telemetry#1234) or full URL to issue, if applicable. --> #### Link to tracking issue Fixes <!--Describe what testing was performed and which tests were added.--> #### Testing Test with a local otel collector with debug output ``` bin/telemetrygen metrics --metrics 5 --otlp-http --otlp-endpoint "localhost:4318" --metric-type Histogram --otlp-insecure ``` Output from debug Exporter: ``` Resource SchemaURL: https://opentelemetry.io/schemas/1.13.0 ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: gen -> Description: -> Unit: -> DataType: Histogram -> AggregationTemporality: Cumulative HistogramDataPoints #0 StartTimestamp: 2024-11-13 16:22:50.633365 +0000 UTC Timestamp: 2024-11-13 16:22:51.633367 +0000 UTC Count: 0 Sum: 0.000000 ExplicitBounds #0: 0.000000 ExplicitBounds amazon-contributing#1: 1.000000 ExplicitBounds amazon-contributing#2: 2.000000 ExplicitBounds amazon-contributing#3: 3.000000 ExplicitBounds amazon-contributing#4: 4.000000 Buckets #0, Count: 0 Buckets amazon-contributing#1, Count: 0 Buckets amazon-contributing#2, Count: 0 Buckets amazon-contributing#3, Count: 0 Buckets amazon-contributing#4, Count: 0 ResourceMetrics amazon-contributing#1 Resource SchemaURL: https://opentelemetry.io/schemas/1.13.0 ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: gen -> Description: -> Unit: -> DataType: Histogram -> AggregationTemporality: Cumulative HistogramDataPoints #0 StartTimestamp: 2024-11-13 16:22:50.639942 +0000 UTC Timestamp: 2024-11-13 16:22:51.639942 +0000 UTC Count: 1 Sum: 1.000000 ExplicitBounds #0: 0.000000 ExplicitBounds amazon-contributing#1: 1.000000 ExplicitBounds amazon-contributing#2: 2.000000 ExplicitBounds amazon-contributing#3: 3.000000 ExplicitBounds amazon-contributing#4: 4.000000 Buckets #0, Count: 0 Buckets amazon-contributing#1, Count: 1 Buckets amazon-contributing#2, Count: 0 Buckets amazon-contributing#3, Count: 0 Buckets amazon-contributing#4, Count: 0 ResourceMetrics amazon-contributing#2 Resource SchemaURL: https://opentelemetry.io/schemas/1.13.0 ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: gen -> Description: -> Unit: -> DataType: Histogram -> AggregationTemporality: Cumulative HistogramDataPoints #0 StartTimestamp: 2024-11-13 16:22:50.6404 +0000 UTC Timestamp: 2024-11-13 16:22:51.640401 +0000 UTC Count: 2 Sum: 4.000000 ExplicitBounds #0: 0.000000 ExplicitBounds amazon-contributing#1: 1.000000 ExplicitBounds amazon-contributing#2: 2.000000 ExplicitBounds amazon-contributing#3: 3.000000 ExplicitBounds amazon-contributing#4: 4.000000 Buckets #0, Count: 0 Buckets amazon-contributing#1, Count: 1 Buckets amazon-contributing#2, Count: 0 Buckets amazon-contributing#3, Count: 1 Buckets amazon-contributing#4, Count: 0 ResourceMetrics amazon-contributing#3 Resource SchemaURL: https://opentelemetry.io/schemas/1.13.0 ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: gen -> Description: -> Unit: -> DataType: Histogram -> AggregationTemporality: Cumulative HistogramDataPoints #0 StartTimestamp: 2024-11-13 16:22:50.640729 +0000 UTC Timestamp: 2024-11-13 16:22:51.640729 +0000 UTC Count: 3 Sum: 3.000000 ExplicitBounds #0: 0.000000 ExplicitBounds amazon-contributing#1: 1.000000 ExplicitBounds amazon-contributing#2: 2.000000 ExplicitBounds amazon-contributing#3: 3.000000 ExplicitBounds amazon-contributing#4: 4.000000 Buckets #0, Count: 1 Buckets amazon-contributing#1, Count: 1 Buckets amazon-contributing#2, Count: 1 Buckets amazon-contributing#3, Count: 0 Buckets amazon-contributing#4, Count: 0 ResourceMetrics amazon-contributing#4 Resource SchemaURL: https://opentelemetry.io/schemas/1.13.0 ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: gen -> Description: -> Unit: -> DataType: Histogram -> AggregationTemporality: Cumulative HistogramDataPoints #0 StartTimestamp: 2024-11-13 16:22:50.641073 +0000 UTC Timestamp: 2024-11-13 16:22:51.641073 +0000 UTC Count: 4 Sum: 12.000000 ExplicitBounds #0: 0.000000 ExplicitBounds amazon-contributing#1: 1.000000 ExplicitBounds amazon-contributing#2: 2.000000 ExplicitBounds amazon-contributing#3: 3.000000 ExplicitBounds amazon-contributing#4: 4.000000 Buckets #0, Count: 0 Buckets amazon-contributing#1, Count: 0 Buckets amazon-contributing#2, Count: 1 Buckets amazon-contributing#3, Count: 2 Buckets amazon-contributing#4, Count: 1 {"kind": "exporter", "data_type": "metrics", "name": "debug"} ``` <!--Describe the documentation added.--> #### Documentation <!--Please delete paragraphs that you did not use before submitting.--> --------- Co-authored-by: Pablo Baeyens <pbaeyens31+github@gmail.com>
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Description: Add config option to override cluster name. This is to maintain backwards compatibility to CloudWatchAgent where customers have the option to specify a cluster name via the config.
Testing: Unit tests added/updated to test config option
Documentation: Updated README.md