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@dependabot dependabot bot commented on behalf of github Apr 18, 2022

Bumps github.com/stretchr/testify from 1.7.0 to 1.7.1.

Commits
  • 083ff1c Fixed didPanic to now detect panic(nil).
  • 1e36bfe Use cross Go version compatible build tag syntax
  • e798dc2 Add docs on 1.17 build tags
  • 83198c2 assert: guard CanConvert call in backward compatible wrapper
  • 087b655 assert: allow comparing time.Time
  • 7bcf74e fix msgAndArgs forwarding
  • c29de71 add tests for correct msgAndArgs forwarding
  • f87e2b2 Update builds
  • ab6dc32 fix linting errors in /assert package
  • edff5a0 fix funtion name
  • Additional commits viewable in compare view

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Bumps [github.com/stretchr/testify](https://github.com/stretchr/testify) from 1.7.0 to 1.7.1.
- [Release notes](https://github.com/stretchr/testify/releases)
- [Commits](stretchr/testify@v1.7.0...v1.7.1)

---
updated-dependencies:
- dependency-name: github.com/stretchr/testify
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file go Pull requests that update Go code labels Apr 18, 2022
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dependabot bot commented on behalf of github May 3, 2022

Looks like github.com/stretchr/testify is up-to-date now, so this is no longer needed.

@dependabot dependabot bot closed this May 3, 2022
@dependabot dependabot bot deleted the dependabot/go_modules/pkg/experimentalmetricmetadata/github.com/stretchr/testify-1.7.1 branch May 3, 2022 16:22
damemi pushed a commit that referenced this pull request Sep 23, 2024
… 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 <[email protected]>
Co-authored-by: Tyler Helmuth <[email protected]>
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